AWJM process parameters for different operations [33].
\\n\\n
IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\\n\\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/132"}},components:[{type:"htmlEditorComponent",content:'With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\n\nLaunching 2021
\n\nArtificial Intelligence, ISSN 2633-1403
\n\nVeterinary Medicine and Science, ISSN 2632-0517
\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
\n\nInfectious Diseases, ISSN 2631-6188
\n\nPhysiology (Coming Soon)
\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"1487",leadTitle:null,fullTitle:"Biomaterials Applications for Nanomedicine",title:"Biomaterials",subtitle:"Applications for Nanomedicine",reviewType:"peer-reviewed",abstract:"These contribution books collect reviews and original articles from eminent experts working in the interdisciplinary arena of biomaterial development and use. From their direct and recent experience, the readers can achieve a wide vision on the new and ongoing potentialities of different synthetic and engineered biomaterials. Contributions were selected not based on a direct market or clinical interest, but on results coming from a very fundamental studies. This too will allow to gain a more general view of what and how the various biomaterials can do and work for, along with the methodologies necessary to design, develop and characterize them, without the restrictions necessary imposed by industrial or profit concerns. Biomaterial constructs and supramolecular assemblies have been studied, for example, as drug and protein carriers, tissue scaffolds, or to manage the interactions between artificial devices and the body. In this volume of the biomaterial series have been gathered in particular reviews and papers focusing on the application of new and known macromolecular compounds to nanotechnology and nanomedicine, along with their chemical and mechanical engineering aimed to fit specific biomedical purposes.",isbn:null,printIsbn:"978-953-307-661-4",pdfIsbn:"978-953-51-4399-4",doi:"10.5772/1957",price:139,priceEur:155,priceUsd:179,slug:"biomaterials-applications-for-nanomedicine",numberOfPages:472,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"696e143e9bcc2385c45795c2d73cdafc",bookSignature:"Rosario Pignatello",publishedDate:"November 16th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/1487.jpg",numberOfDownloads:90082,numberOfWosCitations:410,numberOfCrossrefCitations:106,numberOfCrossrefCitationsByBook:9,numberOfDimensionsCitations:379,numberOfDimensionsCitationsByBook:22,hasAltmetrics:1,numberOfTotalCitations:895,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 23rd 2010",dateEndSecondStepPublish:"December 21st 2010",dateEndThirdStepPublish:"April 27th 2011",dateEndFourthStepPublish:"May 27th 2011",dateEndFifthStepPublish:"July 26th 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"64447",title:"Prof.",name:"Rosario",middleName:null,surname:"Pignatello",slug:"rosario-pignatello",fullName:"Rosario Pignatello",profilePictureURL:"https://mts.intechopen.com/storage/users/64447/images/531_n.jpg",biography:"Prof. Rosario Pignatello is Full Professor of Pharmaceutical Technology and Legislation at the Department of Drug Sciences, University of Catania, Italy.\nHe is the member of the Directive Board of the Interuniversity Research Consortium ‘TEFARCO Innova’ (Parma, Italy) and member of the Directive Board of Controlled Release Society (CRS) - Italy Chapter) as well as of ADRITELF.\nHe is scientifically responsible of NANO-i (Research Centre for Ocular Nanotechnology, University of Catania). \nConsultant for the European Commission as an independent expert in the areas of Health, NMP, Environment (FP6, FP7, H2020). \nHe is also the main author/coauthor of 140 scientific publications and 160 among invited lectures, oral and poster contributions to scientific congresses. His main research interests are:\n- polymeric micro- and nanoparticles as modified drug delivery systems\n- lipophilic prodrugs and conjugates (drug-lipoamino acid conjugates)\n- Supramolecular Carrier Systems: liposomes and lipid-based nanocarriers for pharmaceutical and cosmetic applications\n- Synthesis and pharmaceutical applications of novel polymeric biomaterials\n- Brain and ocular drug delivery\n- Calorimetry (DSC) studies on vesicular biomembrane models",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"5",institution:{name:"University of Catania",institutionURL:null,country:{name:"Italy"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"916",title:"Biotechnology",slug:"biomaterials-biotechnology"}],chapters:[{id:"23616",title:"Bioactive Ceramics as Bone Morphogenetic 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He is currently an Assistant Professor - Energy Technology, School of Engineering Technology at Purdue University, USA. He is the Founder and Director of Advanced Power Units and Renewable Distributed Energy Lab (A_PURDUE). His research focuses on Modeling, Design, Multi-Objectives Optimization, Simulation, Analysis, and Control of various aspects such as Smart Nano & Micro- Grids; Electric Mobility & Transportation Electrification, Renewable Energy Systems; Wireless Charging of Electric Vehicles; Electric Vehicles; Special Purposes Electric Machines; Deep Learning Techniques; Distributed Generation Systems; Thermoelectric Generation; Special Power Electronics Converters; Power Systems; Energy Storage & Conservation; and Engineering Education. So far, He has 9 books, 5 chapters in books, 63 journal papers, 73 conference papers, and 106 other publications with his collaborators, and students related to his research interests. He has more than 20 years of working experience in academia and industry. He has experience in funding grant proposals, and He got some awards and recognitions due to his research work. He has good experience directing research for both graduate and undergraduate students for funded projects. He holds full-time academic positions at Purdue University, Georgia Southern University, the University of Illinois at Chicago, Ohio State University, USA, and Suez University, Egypt, along with some full-time and part-time positions in Egyptian companies as an electrical engineer, and consultant as a professional engineer. Additionally, He has distinguished professional training, and He is a Senior Member in the IEEE and IRED institutions along with 21 professional memberships in other societies. Finally, He served as a book editor for 4 books, and a reviewer for 8 books. He is a guest editor and editor-in-chief for three international journals. Also, He is a reviewer for other 35 international journals. Moreover, He served as invited conference sessions chair and reviewer for 31 international conferences along with other community and academic services.",institutionString:"Purdue University West Lafayette",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"4",institution:{name:"Purdue University West Lafayette",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"15",title:"Mathematics",slug:"mathematics"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"347258",firstName:"Marica",lastName:"Novakovic",middleName:null,title:"Ms.",imageUrl:"//cdnintech.com/web/frontend/www/assets/author.svg",email:"marica@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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Medications used in clinical practice are generally well tolerated; however, they have some safety issues. Cardiovascular effects are the most important of them. Both stimulants and atomoxetine increase heart rate and blood pressure and for some patients it prevents their use. Treatment with stimulants belongs to the most effective within psychiatry. Almost all guidelines recommend stimulants as first-line treatment. However, 20–35% of children and adolescents in clinical trials may have an inadequate response to initial stimulant treatment either due to insufficient efficacy or non-adherence [1]. The response rate in atomoxetine is even lower, with 40% of patients without significant improvement [2]. In adults, the response rates for methylphenidate are around 50% [3]. The long-time studies in adults with ADHD show high rates of non-adherence to medications. Only about half of the patients remain in treatment after two years [4]. As for the psychosocial treatment, the evidence-based efficacy remains unclear, although psychosocial treatments can have some positive impact for children with ADHD beyond the impact of pharmacologic treatment alone. The quality of studies aimed at psychosocial interventions is insufficient, although it improves continuously [5].
Therefore, although specific pharmacotherapies for ADHD exist, they are not always available or suitable for all individuals. Moreover, as for the effect on specific symptom clusters, such as impulsivity, inconsistent data exist with both positive and negative effect of stimulants [6]. Even more, there are other issues, such as parents‘ non-acceptance of pharmacological treatment, that limit the benefit from pharmacological treatment. The need for novel treatment approaches is clear. Repetitive transcranial magnetic stimulation (rTMS), one of the most recent treatment approaches in psychiatry, allows selective neuromodulation of regions involved in the functional neuroanatomy of individual symptomatic profiles.
Although there exist unifying theories on the nature of symptom clusters in ADHD, the evidence on unequal expression of individual symptoms across clinical samples suggests that at least some symptom clusters are based on distinct neurobiology. This notion is demonstrated by a multivariate analysis of the results of testing of a large sample of ADHD subjects using cognitive battery that focused on cognitive control, reward- and time-processing that showed that these domains form distinct components, and that 80 % of subjects who had a deficit were deficient on only one component [7]. Dysfunctions in these cognitive domains may manifest in distinct symptom profiles in ADHD, i.e. inattention, impulsivity, and hyperactivity. Below, we summarize their functional neuroanatomy to evaluate the potential targets for rTMS treatment.
Impulsivity is a clinically important feature that accompanies many neuropsychiatric disorders, including ADHD, and constitutes a significant risk for their development, and complicates their course and treatment. In contrast to its frequent manifestation and significant impact, relatively little is known about its neurobiology, and, more importantly, there is no effective specific treatment available at present, except for behavioral modification. This situation may result from inadequate definition of impulsive behaviour with insufficient discrimination between phenomenologically similar, but neurobiologically different, processes.
Indeed, impulsivity is a heterogeneous concept which manifests in many ways, such as personality traits, behavioral features and particular way of behavioural and cognitive task performance. Moreover, in clinical populations, there is rather variable phenomenology of behaviour that is generally labeled as impulsive and a considerable inconsistency of impulsivity concepts in neuropsychiatric disorders exists. It is not clear if there is a single psychological process linked to a distinct neurobiology or if discrete patterns of impulsive behaviour could be found with specific functional neuroanatomy in various clinical contexts.
Impulsive behaviour is the execution of an immediate urge to act, bypassing consideration of possible means and outcomes of available alternatives. In a closer look, there may be several sources of such behaviour. Moreover, behaviours like compulsions or hyperactivity may resemble impulsivity on the phenomenological level while they result from different neurobiological and psychological processes [8]. Contemporary neuroscience opens new possibilities for objective analysis of neurophysiological sources of behavior. Moreover, it brings new ways of treatment that are guided by detailed knowledge of neurobiology of individual signs and symptoms.
Impulsivity may be expressed in personality traits, cognitive and emotional processes or behaviour control [9].
The forms of impulsivity associated with ADHD involve the inadequate control of behaviour, poor sustained inhibition, the inability to delay a response or defer gratification, or the inability to inhibit dominant or prepotent responses. An equal or perhaps greater problem is the delay aversion – children and adults find waiting aversive, and therefore they act impulsively to terminate the delay more quickly. There is a reduction of symptoms of impulsivity with age, but adults still describe some symptoms of it. The clinical manifestations of impulsivity are described as “acts before thinking”, “does not learn from mistakes”, “says things without thinking” and “does not think about risks or effects of actions” [10, 11]. Impulsivity in individuals with ADHD is associated with greater emotional and behavioral impairments in all stages of life. The consequences of impulsivity often include poor academic and occupational performance, problems in interpersonal relationships. Impulsivity is also associated with an elevated risk for substance abuse, cigarette smoking, driving problems or antisocial behaviors. [12]
Functional neuroanatomy of symptoms is based on imaging of brain activity during execution of a specific behavioral paradigm. Therefore, there are no studies of impulsivity, hyperactivity, nor any other clinical symptom. Rather, the neuroanatomy is based on associations between a particular pattern of responses during behavioral paradigm that engage specific cognitive processes and clinical manifestation of an illness. Impulsivity is associated with changes in reward processing, behavioral inhibition, and, perhaps, time processing. Failures in any of these processes can manifest as impulsivity. Although it might be difficult sometimes to differentiate what process causes a specific pattern of behavioral responses, for the sake of clarity the functional neuroanatomy of reward, behavioral inhibition, and time processing will be elaborated individually. The evidence suggests that they represent distinct patterns of brain circuit dysfunctions, and, therefore, they may form distinct phenotypes of impulsivity (i.e. “stopping” – “inhibition-dependent” and “waiting” – “reward-dependent” impulsivity).
Test features that require
Impulsivity linked with inadequate
Deficits of sustained attention belong to very common findings in ADHD. A meta-analysis of fMRI studies (that used Continuous performance, Odd-ball, or Mental rotation tasks) detected significant decrease of brain activity in the right dorsolateral prefrontal cortex (BA 8, 46), right inferior parietal cortex (BA 40), right precuneus (BA 7), right superior temporal gyrus (BA 42), left putamen, and right thalamus; on the other hand, increased activity in cerebellum was found too [13]. However, individual studies show also involvement of the left hemisphere dysfunctions – using fMRI during vigilance task in boys with ADHD found decreased activation of the left dorsolateral prefrontal cortex (middle frontal gyrus, BA 46, 9, 8), superior parietal cortex (postcentral gyrus, BA 6, 4, 2, 1, 7), and subcortical structures involved in fronto-striatal loops [17]. DLPFC activation was related to the test performance, i.e. the reduced DLPFC activation corresponded to deficits in sustained attention. Findings of abnormal functional connectivity within fronto-striatal loop during Continuous performance task in children with ADHD [18] demonstrates that the abnormal pattern of activity affects whole networks – which might be advantageous for the TMS applications, where only selected parts of the network are accessible, and still the influence of a part of a network may affect inter-connected areas as well.
Arnsten describes a comprehensible model of attention, with two systems. The “bottom-up” system represents stimuli from the environment processed in association areas (posterior parts of the brain – the occipital, parietal, and temporal lobes) and projected to the PFC according to their salience. The “top-down” system represents the actions of the PFC which chooses which stimuli will be enhanced (relevant) and which will be suppressed (distracting) according to their relevance for long-time goals processed by the PFC. The PFC uses its extensive projections back to the sensory association cortices. [19]
In addition to the disorders of attention, dysfunction of several other cognitive functions, such as working memory and executive functions can be found in ADHD [20], albeit only in a subgroup of patients [21]. They are linked to reduced DLPFC activity [22].
There exists growing evidence on impairment of various time-processing mechanisms in ADHD that form an independent domain of ADHD manifestation: perceptual timing, temporal foresight, and motor timing reflected in abnormalities of interval duration estimation and discrimination, delay discounting, and sensorimotor synchronization [23], i.e. processing of both interval estimation and fine-grained millisecond timing of brain events is affected. Since there is a relationship between time-processing deficits and measures of impulsivity and attention deficit [23], it seems that this neurocognitive abnormality may be another source of core behavioral manifestations of ADHD.
Functional neuroanatomy of time-processing deficits in ADHD converges on the pattern of reduced activation of bilateral inferior frontal gyrus, orbitofrontal cortex (in particular, in time foresight paradigms – delayed discounting task), SMA, precentral gyrus, insula, and cerebellum [24–27].
Emotion dysregulation is an important component of ADHD and according to many it should be considered in diagnostic conceptualizations of ADHD [28, 29]. It was found to be linked to some ADHD variables such as greater ADHD functional impairment, lower quality of life, ADHD persistence, and higher ADHD severity in childhood [30]. Shaw et al. [31] describes emotion dysregulation as emotional expressions and experiences that are excessive in relation to social norms and context-inappropriate; rapid, poorly controlled shifts in emotion (“lability“); and the anomalous allocation of attention to emotional stimuli. In the study of Vidal et al., adults with ADHD presented higher levels of emotional lability when compared to clinical control subjects and community subjects [30].
Similarly to attention, there are different systems that regulate emotions. The "bottom-up" system is represented by emotional responses of the amygdala and ventral striatum to external stimuli. Their projections to prefrontal cortex (PFC) draw attention to emotionally loaded processes and similarly to attention, this bottom-up system stresses salience of emotions and not their current relevance. Subcortical structures, the amygdala, and the ventral striatum play a key role in generation of emotions. These areas project to ventrolateral prefrontal cortex (VLPFC), which is not a centre for emotion regulation, rather it decides if regulation is necessary. The need for regulation is signalized to the dorsolateral PFC (DLPFC), either via the anterior middle cingulate cortex or directly. The DLPFC processes the information from VLPFC and relays it to other brain structures involved in emotomotor control [32], which represents the “top-down” regulation based on relevance of the emotion for tasks and goals currently processed by the DLPFC. This ability is included in the broader concept of "executive functions", i.e. the processes that are focused on attaining long-term goals through organizing and planning.
Emotion dysregulation in ADHD may arise from deficits at multiple levels. These range from abnormal early orienting to emotional stimuli, particularly with regard to negative stimuli and reward valuation through an inability to recruit top-down regulatory effort in response to emotional stimuli. Meantime, deficits in cognitive processes, including working memory and response inhibition, may contribute to emotion dysregulation, but they do not seem to be alone to explain its presence in ADHD [31]. In children with ADHD and emotional lability, deficits in emotion regulation were associated with altered amygdala–cortical intrinsic functional connectivity (iFC). The cortical structures involved were rostral anterior cingulate cortex (positive iFC in individuals with high emotional lability). Emotional lability scores were also negatively associated with iFC between bilateral amygdala and posterior insula/superior temporal gyrus [33].
Hyperactivity is a non-specifically increased tendency to act. The question is if it is a consequence of inadequate motor inhibition or if there are other sources for hyperactivity. Although there are no functional imaging studies of hyperactivity per se, there are reports of motor system changes in ADHD. During simple motor tasks, reduced activity of primary motor (BA4) and sensor cortex in ADHD subjects was observed [34]. Moreover, abnormal co-operation of motor system was seen as well – McLeod et al. (2014) [35] described reductions in functional connectivity at rest between the primary motor cortex and the bilateral inferior frontal gyri, right supramarginal gyrus, angular gyri, insular cortices, amygdala, putamen, and pallidum. It seems that increased lateral prefrontal cortex activity is involved in compensation of inadequate motor system performance in ADHD subjects [36].
From the network point of view, there seems to be an involvement of at least three distinct circuits – lateral attentional network, medial reward-related network, and fronto-cerebellar time-processing network. At present, the state-of-the-art rTMS technology enables modulation of regions that lay close to the surface of the brain, i.e. lateral parts. Based on the above reviewed functional neuroanatomy, potential accessible candidate targets are represented by dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, inferior frontal gyrus, dorsal parts of supplementary motor cortex, and cerebellum. Modulation of dorsolateral prefrontal cortex may lead to changes of attention, working memory, and executive functions, but through the top-down regulations it may exert effects on emotional dysregulation symptoms, and impulsivity. Inferior frontal gyrus stimulation may lead to changes in behavioral inhibition and time estimation. Cerebellar stimulation may influence time processing, cognitive functioning, and, perhaps, even the affective symptoms of ADHD. rTMS of cerebellum is technically possible; however, the tolerability due to the neck muscle stimulation might limit its clinical use. Quite recently, rTMS approaches that use a double-cone or HAUT coils demonstrated their ability to modulate activity of medial cortical regions [37, 38]. This technological advancement would enable direct targeting of medial cortical nodes related to reward processing, which may bring increased efficacy in the treatment of impulsivity in ADHD.
Transcranial magnetic stimulation (TMS) is a diagnostic and therapeutical technique based on the principle of electromagnetic induction of electric current in the brain. It uses high-density magnetic field (approximately 2T lasting 0.1 ms) to induce electric field inside cortex, which is able to depolarize neurons [39]. Repetitive transcranial magnetic stimulation (rTMS) depolarizes neurons repetitively with either high (HF) or low frequency (LF) in order to change neuronal excitability for a longer period of time. The excitability can be lowered by using a low-frequency stimulation [40], and vice versa, high-frequency stimulation is able to render the neuron more sensible to stimuli, thus more excitable [41]. Findings from the neuroimaging studies that have localized dysfunctional parts of cortex in particular diseases can be transformed into new treatment approaches. However, recent findings suggest that the effect of rTMS is more complex and the excitatory/inhibitory paradigm is not fully satisfying as some works suggest mixed excitatory and inhibitory effects of either HF or LF-rTMS [42] and the excitatory effect of HF-rTMS on motor-evoked potentials might be caused by the decrease of gamma-amminobutyric acid-mediated inhibition [43]. The method is non-invasive and few side effects have been reported so far. The complete mechanism of changes remains unclear, but it is believed that rTMS affects gene expression [44], synaptic plasticity, dopamine release [45, 46], and release of endogenous opioids [47]. The ability of rTMS to affect not only the particular area it is aimed at but also the whole functional site is crucial as it is able to modulate function in more distant parts of brain [48, 49].
Each rTMS protocol is characterized by its focus of stimulation, frequency of stimuli, intensity, frequency of sessions, total number of pulses, train and intertrain time, a total time of session, and the shape of the coil. Taking this into account, many variables which can modify the effect of stimulation are present and researchers need to consider each of them when designing a protocol. The choice of the region of the brain cortex used for stimulation is based on lesion studies or imaging data that suggest an approximate localization of the studied cortical function, e.g. dorsolateral prefrontal cortex, supplementary motor area, etc. The choice of a particular place on subject’s scalp to put on the coil is based on anatomy or imaging data of the particular subject. The intensity of each stimulation is usually standardized according to a percent of RMT (resting motor threshold), determined in each individual. 1 Hz stimulation is typically used for LF-rTMS, and 5–20 Hz stimulation in HF-rTMS. Multiple imaging techniques are used for online monitoring of rTMS effect in studies (EEG, PET, fMRI).
Another form of rTMS – the Theta-Burst stimulation (TBS) – consists of 3 pulses at 50 Hz repeated at 200 ms interval (hence 5 Hz frequency). This stimulation, when applied continuously (cTBS), is considered to mimic long-term depression effect on cortical excitability, while when applied intermittently (iTBS), long-term potentiation-like (LTP-like) effect is observed [50]. However, Gamboa showed that doubling the duration of the stimulation leads to conversion of its effect [51].
Largest body of evidence supporting the efficacy of rTMS was reached in trials with patients suffering of drug-resistant major depression and this success of rTMS led to approval of this technique in this indication by Food and Drug Administration in the USA in 2008. The method is also used in neuropsychiatry for the treatment of anxiety disorders [52], child autism [53, 54], Parkinson’s disease [55], and positive symptoms of schizophrenia such as auditory hallucinations [56, 57]. And for number of other diseases, this technique is in various states of research (neuropathic pain, Tourette’s syndrome, stroke, amyotrophic lateral sclerosis, multiple sclerosis, epilepsy, Alzheimer’s disease, tinnitus, obsessive compulsive disorder, negative symptoms of schizophrenia, substance abuse, addiction, and craving) [55].
Although rTMS is believed to be a very safe technique, several side effects were described in previous studies. Of the major concern is the possibility of seizure induction, mostly during excitatory rTMS (HF), considered the most serious TMS-related acute side effect. However, the incidence of seizures was extremely rare (0.1–0.5%) and was mostly connected to receiving rTMS exceeding previous guideline recommendations, often in patients under a medication potentially lowering the seizure threshold. A short intertrain time is considered to be one of the potential triggers of seizures during rTMS [58]. Further research and analysis should be performed to identify protocol aspects and indication criteria lowering the risk of seizures.
As rTMS produces rather intensive noise (over 120 dB) [59], considerations about its effect on patient\'s hearing should be taken into account. The amplitude of rTMS sound depends on the coil design and the absolute stimulation intensity. Thus, sound intensity experienced by the patient during stimulation depends directly on the subject’s motor threshold which is individually variable across the population [60]. According to safety guidelines [58], hearing protection is highly recommended as some subjects with no hearing protection experienced a hearing loss or threshold shifts in past studies [61, 62].
Headache is a relatively frequent adverse effect of rTMS, but this discomfort usually vanishes within minutes with either no need for medications or it responds to common analgesics. A scalp pain or discomfort is a common adverse effect of rTMS as well and an ideal method to decrease this discomfort is still in research (e.g. local application of lidocaine) [63, 64]. However, the scalp pain and discomfort typically vanish straight after the application of pulses and eventually it seems there is a kind of accommodation as the first session is usually refered as the most painful.
Repetitive transcranial magnetic stimulation is contraindicated in patients with metallic (conductive, ferromagnetic, or other magnetic-sensitive) objects in or near the head (within 30 cm of the treatment coil), e.g. implanted electrodes, bullet fragments, aneurysm clips, stents and similar, or implanted stimulator devices in or near the head, e.g. deep brain stimulators and vagus nerve stimulators.
Several limitations exist for the use of any therapy in children regarding their developing brain. Every novel therapy in neuropsychiatry needs to be evaluated carefully in children, especially in the terms of long-term safety. According to the theory of “sensitive periods“ (a time period within brain development when an intervention has a strong effect on the brain [65]) in childhood, neuromodulation methods might be able to affect the brain function in a more stable and effective way during these periods. Although there is no evidence of any serious side effects of rTMS in children, it has to be kept in mind that the risk of inducing maladaptive neuroplasticity during sensitive periods of development of the child brain is still present and there is great need to clearly describe the neurophysiology of the impact of rTMS on a developing brain [54].
Dorsolateral prefrontal cortex (DLPFC), and especially right DLPFC, is believed to be highly involved in the pathophysiology of ADHD – see above. Two studies reported an application of rTMS over DLPFC in children and adolescents with ADHD. Weaver and colleagues (2012) applied HF-rTMS (10 Hz, 100% of the observed motor threshold) over the right DLPFC in 9 young patients (4 of them between 15 and 17). Their sham-controlled crossover safety study revealed an overall improvement in ADHD symptoms, but no difference between the sham and the active rTMS sessions [66]. Isenberg et al. showed that LF-rTMS on the left DLPFC has similar effect in patients with depression as HF-rTMS on the right DLPFC [67]. Gomez et al. based their protocol on these findings and applied 1 Hz rTMS of 90% of the rest motor threshold over the left DLPFC in ten school-aged boys (ages 7–12) suffering from ADHD. Although this study was performed to establish tolerability and safety of this protocol in children, their preliminary results have been promising because of significant clinical improvement of ADHD symptoms (mainly inattentiveness in school and hyperactivity/impulsivity at home) as referred by teachers, parents, and partly confirmed by the attending physician [68].
Two other studies applied the rTMS in children with ADHD for different purposes. One of them successfully evaluated TMS-evoked N100 measuring by EEG as a suitable marker for online monitoring of rTMS effects in children with ADHD as they found significant reduction of the amplitude of TMS-evoked N100 in comparison to the sham stimulation [69]. Loo et al. (2006) used 10 Hz rTMS on two 16-years-old girls suffering from depression and ADHD and described improvement in depression but no change in ADHD symptoms [70]. Nevertheless, all these studies revealed no serious adverse effects in children with ADHD undergoing rTMS.
Considering the wide comorbidity of ADHD and Tourette‘s syndrome (60–80% according to hospital studies) [71], it is worth noticing some promising results of rTMS treatment. Two studies [72, 73] applied LF-rTMS of 100/110% of motor threshold over the supplementary motor area and showed significant improvement in tics; these improvements lasted for a minimum of 6 months [73]. However, three participants with ADHD reported no change in ADHD symptoms. Nevertheless, improving the tic symptoms can increase the compliance of ADHD patients and give the therapist possibility to better address the therapy of ADHD symptoms.
As the recent findings have revealed, in over 50% of children with ADHD the symptoms persist to adulthood. Adult ADHD has become a large point of interest for research. Considering the fact that attention deficit symptoms tend to persist into adulthood more often than hyperactivity symptoms, a pilot study was performed using HF-rTMS on the right DLPFC. This stimulation resulted in improvements in attention but with small clinical significance [74]. One patient in a case study reported particular dysphoria, inability to respond emotionally, hypobulia, tension, and impaired attention after the same stimulation protocol [75]. Applying inhibitory protocol on the contralateral DLPFC might be worth trying as well.
On the other hand, two studies with inhibitory protocol with LF-rTMS over the supplementary motor area (SMA) reported significant clinical improvement in hyperactivity in two women with the hyperactive/impulsive subtype of ADHD [76, 77].
Some studies focused on other functions typically impaired in ADHD (e.g. attention, impulsivity) trying to influence them by non-invasive brain stimulation in healthy population. The DLPFC was stimulated in studies measuring the effect of stimulation on sustained attention or impulsivity or inhibition. HF-rTMS over the left DLPFC led to better performance in the Conners Continuous Performance task [78]. Continuous Theta-burst stimulation over the DLPFC resulted in choosing larger delayed rewards rather than smaller immediate ones in the Delay Discounting test [79]. Similar results were reached after stimulation of the medial prefrontal cortex by HF-rTMS [80]. Interestingly, anodal transcranial direct current stimulation (tDCS) applied over either the left or the right DLPFC resulted in more careful driving on a driving simulator [81].
The performance in the Stop Signal task, which is also used for the diagnosis of impulsivity, was affected by anodal tDCS over the pre-SMA and participants performed greater number of correctly inhibited responses in comparison with the active stimulation over M1 [82].
The differences between individual studies result from their methodology. There are great many parameters in rTMS that can be adjusted differently. The parameters are described above and studies use unequal designs. The reason for such differences is the practical absence of standard rTMS protocols for ADHD, the firm knowledge of the right technical setting is absent.
There is a possibility to use parameters that have been successful in the treatment of depressive disorder or negative symptoms of schizophrenia where the stimulation of the DLPFC is applied as well – high frequency, ideally 10Hz, above-threshold intensity (above 100% of the individual’s resting motor threshold), higher number of treatment sessions (15 at least), higher number of pulses per session and totally during the treatment, and possibly the use of structural and functional brain imaging techniques for more accurate targeting of the best place of stimulation. This protocol has to be tested in trials (double-blind and placebo-controlled ideally) that could prove whether these parameters are really optimal for patients with ADHD. It is worth noting that in patients with obsessive-compulsive disorder this assumption was wrong and there is a search for a different target instead of the DLPFC. Even the protocols for much more studied disorders like depression or negative symptoms of schizophrenia differ, however, in different studies. In ADHD studies, the inter-individual variability is an important factor as extensive studies are lacking. The same protocol may lead to different outcomes in individual patients and in small sample studies the inter-individual variability can overweight the inter-group variability.
The measures of outcome can also differ in different studies. ADHD is defined by its diagnostic criteria and a lot of questionnaires are used to measure the changes in symptomatology. The functioning in individuals with ADHD varies considerably and the results in neuropsychological tests correspond to this variability. Changes induced by rTMS may be small and only detectable in testing, but patients’ expectations may be higher with such a “hi-tech treatment” so patients can subjectively overestimate or underestimate the results. More studies examining patients’ subjective feelings as well as objective measures of attention and hyperactivity before and after rTMS are needed.
An adult female patient 25-years-old with ADHD, a university student, was enrolled to the pilot study which examined the efficacy and safety of repetitive transcranial magnetic stimulation (rTMS) in adult ADHD. Although she described having had the symptoms of ADHD before starting school education at the age of 6 years, she was never diagnosed by a psychiatrist and was never treated. She was assessed by only a school psychologist who communicated to her parents that she would not be able to study at university. She, however, did not give up, and this motivated her to work harder. She had good results at basic and secondary schools even though she suffered from inattention. The results at university were considerably poorer, but with a high level of motivation she was able to finish her bachelor’s degree. Nonetheless, she had to consult a psychiatrist for the first time during the studies and she was diagnosed with adjustment disorder with prevailing depressive mood and suspected ADHD. She was medicated with paroxetine 20 mg daily and also with valproate 500 mg daily for emotional instability. Her mood improved with the medication, but she still had disturbing symptoms of inattention. A year later she found our experimental rTMS study and agreed willingly to participate.
Before the procedure, she was assessed by two psychiatrists experienced in diagnosing ADHD and the diagnosis was confirmed. Consecutively, she had a neuropsychological evaluation aimed at attention. She did not meet any contraindication for rTMS (epilepsy, pathological EEG, metal object in skull, cardiostimulator, or drug pump) and thus she could start rTMS. The high-frequency stimulation of the left dorsolateral prefrontal cortex (DLPFC) was used; this alternative had been previously used in another patient with ADHD (see [74]) and seemed effective and well-tolerated.
Before the initiation of stimulation, we first localized the spot whose stimulation triggered a motor-evoked potential (MEP) in the abductor pollicis brevis muscle. Then, we determined in a standard way the resting motor threshold (RMT) as the lowest stimulation intensity that is able to trigger a MEP of at least 50 µV in the above mentioned muscle five times out of ten consecutive trials [83]. The exact stimulation localization was determined according to the “5 cms rule“ – that is, a localization 5 cm more rostral from the RTM spot. The patient had ten sessions during her treatment with high-frequency (10Hz) rTMS; the intensity was 110% of the RTM; and the pulse count was 1500 in a session with the stimulation train invariably 10 seconds long with an inter-train pause of 30 seconds. The treatment was well tolerated and no adverse effects were seen during the whole course of treatment. After treatment, she did not feel any subjective improvement in attention, but the control neuropsychological evaluation showed improvements in almost all tests focused on attention. A few weeks after rTMS, she was informed she was in the second trimester of pregnancy which meant she had been pregnant in the course of the rTMS treatment. In a year, she contacted us again and reported her pregnancy without complications as well as the delivery of a healthy child. She even managed to finish successfully her university studies.
This case study supports with evidence the hypothesis that rTMS may be an effective and safe treatment option for adult ADHD. It seems safe even in pregnant female subjects; the evidence is however insufficient.
rTMS treatment of ADHD is in its infancy. The best treatment regimen, duration of acute treatment, neurostimulation target, and symptoms modulated by rTMS are to be determined. Although the method proved to be effective in several psychiatric indications (schizophrenia, major depression), the efficacy in ADHD needs to be studied in detail before any final conclusions. The neurobiology of ADHD is linked with dysfunctions of cortical regions that are accessible to rTMS modulation. The many regulatory functions of DLPFC enable TMS stimulation trials for many disorders. Majority of neurobiologic findings in ADHD involve this cortical area, thus giving sense to the use of rTMS in ADHD. Since frequent limitation of rTMS studies is only approximate localization of stimulation targets, when trying to target specific regions linked with ADHD, fMRI-guided neuronavigation may be of crucial importance for the success of treatment regimens.
This chapter tries to provide with current knowledge about the neurobiology of ADHD for the purpose of explaining the role of a novel treatment approach in psychiatry – repetitive transcranial magnetic stimulation. The structures of brain have usually long and complicated names. We use some abbreviations to shorten the text. All abbreviations are written in full words as they occur for the first time. Here are some of the most common for your reference.
ADHD – attention-deficit hyperactivity disorder
BA – Brodmann area
DCS – direct current stimulation
DLPFC – dorsolateral prefrontal cortex
fMRI – functional magnetic resonance imaging
HF – high frequency
LF – low frequency
PFC – prefrontal cortex
SMA – supplementary motor area
rTMS – repetitive transcranial magnetic stimulation
TMS – transcranial magnetic stimulation
VLPFC – ventrolateral prefrontal cortex
The work was supported by the Ministry of Health, Czech Republic – conceptual development of research organization (FNBr, 65269705), and by a research grant No. NT-13437, and by a research grant from the Grant Agency of the Ministry of Health, Czech Republic (AZV) No. 15-30062A.
During the past decades, significant research has been carried out on the development of novel magnesium-based materials as traditional alloys and composites using different techniques such as casting, powder metallurgy, disintegrated melt deposition etc.; several secondary processing techniques have also been used to enhance the physical and mechanical properties of Mg-based materials, namely, heat treatment, equal channel angular pressing (ECAP), forging, rolling, hot extrusion, etc. Mg-based materials have turned out to be a choice for industries to replace structural materials like cast iron, steel, copper, etc. In particular, automobile industries have become potential market for Mg-based materials. Increase in demand for Mg-based materials for lightweight automotive components witnessed significant growth during recent years. Global forecast report has estimated Mg alloys market to reach 1.30 billion in 2018 and is projected to reach USD 2.37 billion by 2023 at a compound annual growth rate (CAGR) of 12.7% during forecast period [1]. Extended applications in 3Cs (consumer electronics, computers, and cell phones) have enhanced the demand and growth of Mg-based materials in global markets. With this increase in demand, researchers and engineers are continuously focusing on machining aspects of Mg-based materials to expand the industrial applications through advanced machining technologies.
\nEven though Mg-based materials are considered to be the easiest materials to machine due to their low cutting forces, well-formed chips, and good surface finish, they are highly inflammable. The risk of ignition rises when process temperature crosses 450°C, which is close to the melting temperature of Mg [2, 3]. In spite of advantages such as 50% lesser cutting forces compared to aluminum in turning operations and cutting tools retaining sharp edges for a long period, Mg possess high affinity to oxygen at higher temperatures (>450°C). Mg is also reactive in nitrogen and carbon dioxide atmosphere even in the absence of oxygen. Ignition temperature of Mg can be controlled by adding alloying elements such as calcium and beryllium and rare earth metals such as cerium, lanthanum, or yttrium but cannot be avoided [4, 5, 6]. Ignition of chips occurs during high-speed machining especially during finishing operations, i.e., chips in the form of powder (<500 μm) tend to explode. These powders not only create safety hazard but can also damage the machine tool components [7].
\nWeinert et al. [2] highlighted the importance of removing the chips from the workspace of the machine tool during machining. It was reported that the hot chips generated during machining contains up to 90% of the heat generated at the cutting zone, which can significantly affect the workpiece and machine components by transferring the heat. Thermal expansion of both machine tool and workpiece thus required to be identified. The risk of fire and potential damages to the workpiece as well as the machine tool can be significantly controlled by fast and reliable removal of the chips. Controlling the temperature during machining is therefore crucial in preventing the ignition. Ning Zhao et al. [8] reported three types of ignition that occurs during face milling of AM50A magnesium alloy which includes sparks, flares, and continuous flares. Among three types of ignitions, it was reported that flares and continuous flares are dangerous for safe production. Therefore in order to reduce the temperature of chips and powder-type dust generated during machining, many researchers have used cutting fluids during machining process [9, 10, 11, 12, 13]. The use of cutting fluids also resulted in reaction with magnesium which forms hydrogen, a highly explosive and flammable gas. For this reactivity issue, mineral-based oils are recommended during machining of Mg-based materials by selecting appropriate process variables. However, it is necessary to take proper care at higher cutting speeds to prevent flank buildup (FBU) on tools while using mineral-based oils because formation of flank BUE and burrs creates another problem in machining Mg-based materials due to high thermal expansion coefficient, and this may further lead to decreased accuracy of machined surfaces. The presence of FBU increases cutting forces and affects surface quality [14].
\nOn the other hand, conventional machining of Mg-MMC is also challenging. In addition to ignition risk, the presence of harder ceramic particles in MMC causes serious abrasion of the tool, which shortens the tool life, and increasing volume fraction of ceramic particles leads to increased cutting forces [15, 16]. This in turn, increases the manufacturing cost. Tonshoff et al. [7] investigated tool wear in turning Mg-MMC containing SiC particle reinforcement (MELRAM 072TS) using polycrystalline diamond (PCD) tool and PCD, TiN-coated tools. The tin-coated tool was destroyed immediately due to the impact of SiC particles. Chipping off the layer was observed in PCD tool. Furthermore, molten material was observed on edges of all tool materials. This adhesive effect between work and tool material not only creates a negative influence on machining forces but also leads to creating poor surface quality.
\nXiangyu Teng et al. [17] studied micro machinability of Mg-MMC containing titanium (Ti) and titanium diboride (TiB2) nanoparticles. AlTiN-coated tungsten carbide micro-end mills were used to machine Mg-MMNC. Machined surface was characterized by surface morphology and surface roughness. Investigations revealed cutting tool was affected by chip adhesion. This chip adhesion found more in machining Mg-MMC containing nano-sized Ti particles compared to Mg-MMC containing TiB2 nanoparticles. Further it was reported that cutting forces while machining Mg/Ti MMC found nearly two times compared to Mg/ TiB2 nanocomposites. Increase in cutting forces increased the roughness of surfaces and also induced burrs on slot edges of cutting tool. The surface of cutting tool was also affected by coating peeling off while machining Mg/TiB2 nanocomposites.
\nTherefore machining Mg-MMC with conventional methods is also associated with several problems such as increased cutting forces, surface roughness, and chip adhesion to tool material. It is really challenging to achieve a surface quality and accuracy MMC through conventional machining. Apart from these difficulties, conventional machining system for Mg-based material requires provision of storing chips in closed containers or the use of chip removal systems, protecting the machines using protection systems against explosions, adequate availability of class D fire extinguishers in the machine area, storage of dry sand in containers, and safeguarding the operators and installation of alarm systems in order to create the safest workplace [2, 18]. Indirectly these actions result in higher processing costs. Cost-effective processing of Mg-based materials is therefore an essential criterion to expand the application areas.
\nConventional machining demonstrated significant importance in machining Mg-based materials when compared to NTM over the years, despite serious problems such as ignition risk, tool wear, shorter tool life, and surface finish. Researchers are required to pay more attention to NTM processes to overcome difficulties of conventional machining. Literatures have witnessed the successful implementation of NTM processes in cutting a wide range of materials for different applications. Despite few limitations, nowadays NTM processes are having greater potential than conventional machining. However better understanding is required on the suitability of NTM before being applied in practical fields.
\nDuring the past decades, numerous research efforts have been placed on NTM machining of different types of materials including MMCs. However, very limited studies are reported on machining of Mg-based materials and Mg-MMC through NTM techniques. Advantages and limitations of few NTM processes such as laser beam machining (LBM), laser-assisted machining (LAM), electric discharge machining (EDM), and AWJM are discussed in the present section.
\nNowadays EDM is extending its application areas by cutting a wide range of metals and MMC. EDM uses high thermal energy to remove the material by electric spark erosion. EDM regardless of the hardness of materials has typical advantages in cutting intricate and complex shapes. EDM eliminates mechanical stresses, vibration, and chatter during machining since there is no direct contact between tool and work material. EDM is especially used in the production of die, mold, automotive, surgical, and aerospace components. EDM is most suitable for machining of geometries with high aspect ratio and microstructures. EDM can drill a hole of size 0.1 mm [19]. Ponappa et al. reported with high aspect ratio holes of ϕ 0.5 mm with 12 mm height drilled by EDM in Mg/Al2O3 nanocomposites. However, recast layer was observed at some portion of the cut zone due to a series of spark generation and generation of high temperatures between the tool and work [20]. Generation of high temperature during the process can alter the target material properties. The presence of reinforcement particles makes machining of MMC slower by creating difficulties due to the breakage of conductivity caused by non-conductive and high melting points of reinforcement particles. Breaking of wires in WEDM during the process is one of the major problems. Due to high temperature caused between tool and work interface, wire electrode breaks usually in the top edge of the machined surface. Another major limitation of EDM falls in its incapability in cutting non-conductive materials.
\nLBM uses thermal energy to remove the material using a laser beam by melting and vaporizing. Unlike EDM, LBM is not only limited to conductive materials; it can be applied for a wide range of materials [21]. The major advantage of LBM lies in its capability to produce geometrically complex shapes and miniature holes. LBM have the capability to make slot as low as 0.25 mm width. Generally, machining operations in LBM includes drilling and grooving. Mechanically induced material damage, cutting forces machine vibration, and tool wear are absent in LBM [22]. Machining speed and material removal rate can be increased in LAM. However, an increase in machining speed resulting in a rough surface that splits out into striations is caused by the unsteady motion of molten layer or repeated blockage of plasma. LAM is having its own limitations when machining Mg-based materials, the reflectivity of Mg can result in inadequate heating which limits the cutting capability, and also small chips produced during machining tend to ignite when in contact with the laser beam. Therefore, LBM of thermally sensitive Mg-based materials is risky. Melting of reinforcement material and chemical reactions were reported in LBM of MMC which also affects the microstructure.
\nAWJM technology is one of the leading and fastest growing NTM technologies for cutting a wide range of materials such as metals, stone, tiles, plastics, FRP, composites, food, ceramics, rubber, etc. In AWJ cutting the impact of solid particles at high velocity along with water at high pressure removes the target material by means of erosion [23]. AWJ uses cold water during the process that eliminates slag deformation and dross waste that is generally found in plasma and laser cutting processes. Additionally, both garnet (abrasive) and water used in the cutting process can be recycled [24]. The AWJM process is therefore environmentally friendly when compared to other cutting processes. The process is also clean and does not involve chips, chemical reactivity, and air pollution. Water jet eliminates dust by carrying away the eroded material and does not generate fumes which are generally present in other NTM processes [25]. In recent years AWJM has received tremendous attention especially in machining difficult to machine and thermally sensitive materials [26, 27]. Due to its versatility, ease of operations and extended capabilities, AWJM has become the hot choice among different machine tools for manufacturing industries. Application areas include automotive, aerospace, construction, medical industries, etc.
\nUnlike other NTM processes (EDM, LBM/LAM) AWJM does not include higher processing temperatures, and most importantly there is no HAZ [28]. Therefore machined surfaces are neither affected by remelting nor by recrystallization. Thus AWJ cutting technology offers risk-free machining of Mg-based materials by eliminating HAZ. The only drawback of AWJM is lesser efficiency in creating high-quality surfaces which can be expected from the other two methods. Bimla Mardi et al. [29] investigated the surface integrity of Mg-based nanocomposites generated by AWJ. Feasibility of AWJ in machining Mg-based nanocomposites was reported. Experimental results were analyzed and compared under varied traverse speeds. It was concluded that lower traverse speeds give better surface finish and higher traverse speed results in the poor surface finish. Furthermore, it was concluded that for machining Mg-based MMC, AWJ machining is the most promising method with good surface finish and minimum subsurface damage.
\nDue to omnidirectional cutting capabilities of AWJM at higher feed rates, it is considered to be the fastest machining option for MMCs [30]. Based on available literature, it can be concluded that even though LAM/LBM and EDM can be efficiently used to machine Mg-based materials, the risk of ignition cannot be avoided. Therefore AWJM is the most suitable and risk-free machining technology for Mg-based materials. Below are some of the distinct advantages of AWJ machining over other methods:
No heat affected zone.
Lower setup time.
No microstructural and microhardness changes occur in the machined surfaces [31].
No thermal distortion, high machining versatility, and high flexibility [32].
Simple programming methods.
High productivity.
Higher feed rates can be achieved especially in MMC.
Elimination of dust.
AWJ technology is being utilized by many modern industries such as automotive, aerospace, chemical processing, environmental engineering, construction engineering, medical, etc., for performing different operations such as industrial cleaning, surface preparation, paint, enamel and coating stripping, manufacturing operations, etc. Since this chapter is mainly focused on machining aspects, only linear cutting, drilling, turning, and milling machining operations are discussed. AWJM involves a number of process parameters to achieve qualitative and quantitative results. Geometry and quality of the machined surfaces depend mainly on the appropriate selection process parameters. Table 1 shows detailed AWJ process parameters for different machining operations.
\nAWJ parameters | \nMachining parameters | \n|||
---|---|---|---|---|
Linear cutting | \nDrilling | \nMilling | \nTurning | \n|
Water pressure Jet diameter Abrasive particle size Abrasive material Abrasive flow rate Abrasive condition Mixing tube length Mixing tube diameter | \nSOD AOI TS Material thickness Number of passes | \nAngle SOD Dwell time Material thickness | \nTR Lateral increment Number of passes Number of sweeps | \nRotational speed Direction of rotation Angle Traverse rate Initial diameter Final diameter DOC | \n
Output variables (dependent) | \n||||
\n | DOP Width of cut Surface finish | \nDiameter Drilling time Hole shape | \nVMR Depth control | \nTurned diameter Surface finish Machining time | \n
AWJM process parameters for different operations [33].
In the present chapter, in order to identify the machining capability of Mg-based materials, experimental investigations on AWJ linear cutting and AWJ drilling operations were carried out. The effect of input parameters on the depth of penetration and surface integrity of AZ91 alloy and nanocomposites was analyzed. AWJ drilling of AZ91 Mg alloy was carried out and compared with conventional and jig boring processes. Overview of AWJ is turning, and AWJ milling operations were discussed. Further research possibilities in AWJ machining Mg-based materials are also highlighted.
\nBeing most important in industrial applications, depth of penetration and surface quality decides the efficiency, process capability, and performance of AWJ. During past decades theoretical and experimental investigations were made to determine the cutting performance of ductile materials such as aluminum and its alloys, mild steel, stainless steel, copper, brass, etc., with AWJ machining technology [34, 35, 36]. However, limited studies are available on AWJ machining of Mg-based materials. Therefore in the present section, experimental investigations were carried out to know the penetration capability and surface quality of AZ91 Mg alloy and nanocomposites by AWJ linear cutting. OMAX 1515 state-of-the-art AWJ machine equipped with 30 Hp direct drive pump to create water pressure ranging 100 MPa to 345 MPa shown in Figure 1 was used to carry out experiments. The machine also supported with gravity feed-type abrasive hopper and pneumatically controlled three axis movements with traverse speed capacity of 1 mm/min to 8000 mm/min.
\nState-of-the-art AWJM technology.
AZ91 Mg alloy and nanocomposites with volume percentage of 1, 1.5, and 2% Al2O3 nanoparticles (<50 nm) produced by stir casting were used to conduct experiments. Elemental composition of AZ91 is shown in Table 2 (obtained by EDS) analysis. Figure 2 shows EDS spectrum of AZ91-nanocomposites containing 1% Al2O3.
\nAl | \nZn | \nMn | \nSi | \nCu | \nFe | \nBe | \nMagnesium | \n
---|---|---|---|---|---|---|---|
9.41 | \n1.42 | \n0.25 | \n0.03 | \n0.003 | \n0.015 | \n0.001 | \nRest | \n
Elemental composition of AZ91 Mg alloy.
EDS spectrum of AZ91/1% Al2O3 nanocomposites.
In the present study, influence of only major dynamic parameters such as water pressure, traverse speed, and abrasive mass flow rate on the depth of penetration and surface integrity is considered. Topography and microstructural features of cut surfaces were examined using SEM technique. All the linear cutting experiments were carried out using standard 80 mesh garnet particles. L18 orthogonal array was used to conduct cutting experiments. Specimen was prepared into trapezoidal shape to make through cuts. This method of making trapezoidal shape is popular among different methods to determine the DOP. Profile projector was used to obtain exact depth of cuts since this method gives accurate values compared to other methods [37]. Table 3 shows detailed experimental conditions.
\nWater pressure ( | \nUnit | \nLevel 1 | \nLevel 2 | \nLevel 3 | \n
MPa | \n100 | \n200 | \n300 | \n|
Traverse speed ( | \nmm/min | \n150 | \n300 | \n400 | \n
Mass flow rate ( | \ng/min | \n309 | \n425 | \n611 | \n
Abrasive mesh size | \n\n | 80 | \n||
Orifice (jewel) diameter | \nmm | \n0.35 and material is sapphire | \n||
Focusing nozzle diameter | \nmm | \n0.76 and material is tungsten carbide | \n||
Angle of target | \n\n | 90° | \n||
Standoff distance | \nmm | \n1.5 | \n
Detailed machining conditions selected for cutting experiments.
The effect of control factors such as water pressure, traverse speed, and mass flow rate on the depth of penetration was analyzed by considering mean values of depth of penetration. Figure 3 shows the effect of input parameters on the depth of penetration in AZ91 magnesium alloy and nanocomposites. It can be observed that depth of penetration increases with an increase in water pressure, due to the increase in kinetic energy of water and abrasive particles with an increase in water pressure. In contrast, more energy of the particles as well as water was able to remove more material. It is also observed that, when compared to Az91 Mg alloy, penetration ability of Mg nanocomposites decreases with increase in vol. % of Al2O3, since MMCs offer resistance to the jet penetration due to the presence of harder nanoceramic particles.
\nEffect of input parameters on depth of penetration.
Relationship between traverse speed and depth of penetration indicates that increasing the traverse speed lowers the impact of numbers of abrasive particles and results in decreasing the depth of penetration. The influence of traverse speed on the depth of penetration, therefore, lies on the exposure time of abrasive water jet. The lesser the exposure time, the more the depth of penetration. The effect of mass flow rate on the depth of penetration indicating an increase in abrasive mass flow increases the depth of penetration due to the participation of large number of abrasive particles in cutting. This trend remains stable till the value of mass flow rate reaches to a critical level. After that depth of penetration decreases since the higher abrasive flow rates sometimes block the nozzle and at higher abrasive mass flow rates. Due to some damping mechanisms such as generation of water-solid films and abrasive particles, collision in mixing chamber significantly reduces the specific energy of abrasive particles [38]. It is evident from the previous studies that the velocity of abrasive particles decreases with an increase in abrasive mass flow rate [39, 40, 41]. This reduces the depth of penetration.
\nLiteratures have witnessed solid particle impact in the material removal process by abrasive water jets by erosion [42]. In ductile materials, material removal process is divided into two zones such as micro cutting zone observed at the top surface and deformation zone, which occurs at the bottom surface [43]. Similar observations were noted down in surfaces of MMC [44]. In the micro cutting region, material removal takes place by sharp-edged and angular abrasive particles at low cutting depths. Impact of the abrasive particles at shallow angles promotes micro cutting, termed as “cutting wear.” At larger cutting depths, the impact angle of abrasive particles becomes more obtuse and causes “deformation wear.” Plowing is responsible for material removal in the bottom region due to spherical abrasive particles [45]. Deformation wear zone is affected by surface waviness caused due to instabilities of the water jet. Loss of jet energy reduces the capacity of material removal creating waviness and thus dividing cutting and deformation wear zones as shown in Figure 4.
\nMaterial removal mechanism.
A surface characteristic of cut surfaces is evaluated in two regions, i.e., smooth cutting zone (SCZ) and rough cutting zone (RCZ) as shown in Figure 5 [46, 47]. Surface integrity of cut surfaces can be obtained by measuring surface roughness in both regions using either a contact-type or noncontact-type measuring device. Most of the researchers have used optical profiler for measuring surface roughness which is the noncontact type. Several researchers have used contact-type roughness measuring devices, which use a stylus tip to measure waviness of the surface.
\nRegions of cut surfaces.
In the SCZ, initially the surfaces are clear and smooth but affected by the formation of uniform wear tracks in the direction of the jet traverse at the bottom portion of the SCZ. Since this zone is shared by both micro cutting and deformation modes, surface roughness increases further down the surfaces. In RCZ the surface roughness is affected by striations caused by deflected water jet. Figure 5 shows the presence of deviated wear tracks with waviness produced by a stream of the deflected water jet. In cutting AZ91 magnesium alloy, the embedment of spherical abrasive particles and pocket-like structures is observed at the shallow impact angles as shown in Figure 4. The surface roughness at RCZ zone is higher than SCZ zones. Figure 6 shows the 3-D images of SCZ and RCZ generated in optical profiler.
\n3-D images of SCZ and RCZ.
The surface roughness of the AZ91 and nanocomposites in the SCZ zones is found between 5–20 μm and 20–40 μm in RCZ at lower traverse speeds. This is due to the increase in the impact of a number of abrasive particles and exposure time. Surface roughness is a function of water pressure because the kinetic energy of water jet increases the velocity of particles which in turn increases the surface quality, and also the influence of abrasive mass flow rate on surface roughness depends mainly on water pressure. However, at higher traverse speeds, an increase in water pressure increases the surface roughness. Hence traverse rate is the most significant parameter in deciding the quality of cut at two zones.
\nEarlier studies have proven that AWJ technology is a viable tool for drilling different materials such as pure commercial aluminum, Al6061, brass, S1030 low-carbon steel, D-3 cold working tool steel, etc. AWJ drilling does not affect microhardness and mechanical properties of the material [48]. Burr-free surfaces can be obtained in AWJ drilling. Drilling at different angles is also quite convenient with AWJ. In AWJ technology drilling can be performed by tilting the cutting head up to 590. Though many types of research are carried out in drilling different materials, no work has been notably reported on drilling of Mg-based materials through AWJ technology. In the present section, experimental investigations are carried out to know the features of holes drilled by AWJ in Mg alloy. Surface roughness and taper of drilled holes are measured and compared with holes drilled by conventional drilling and jig boring.
\nFive holes with diameter 3, 5, 10, 15, and 20 mm were drilled in 40 mm thick AZ91 Mg alloy block. Roundness and taper of drilled holes were obtained using profile projector. Drilling time of each hole was also determined and compared. The conditions at which the holes were drilled are given in Table 4.
\nConditions for drilling holes.
Table 5 gives actual dimensions of five holes drilled by different methods measured using a profile projector with taper percentage. Diameters of drilled holes were measured in both sides (top and bottom) to know the variations in drilled holes. It can be observed that compared to holes drilled by conventional methods, AWJ-drilled holes were affected by the taper. The taper was comparatively higher in drilling less than 5 mm hole. This is due to hit back of jet from the channel during the drilling process, and this trend will last until full penetration is achieved. Meanwhile, the base hole will be abraded by the perimeter of the jet and thus affects the shape (roundness) and diameter of the hole as shown in Figure 7. When compared to other methods, AWJ-created holes are slightly larger than the required size and require comparatively more time to drill holes.
\nDesired Φ | \nConventional | \nTaper % | \nJig boring | \nTaper % | \nAWJ | \nTaper % | \n|||
---|---|---|---|---|---|---|---|---|---|
Φ at top | \nΦ at bottom | \nΦ at top | \nΦ at bottom | \nΦ at top | \nΦ at bottom | \n||||
2.5 | \n2.384 | \n2.451 | \n0.17 | \n2.375 | \n2.435 | \n0.15 | \n3.526 | \n2.321 | \n3.012 | \n
5 | \n5.129 | \n4.955 | \n0.44 | \n4.930 | \n5.071 | \n0.35 | \n5.841 | \n5.263 | \n1.445 | \n
10 | \n9.960 | \n9.981 | \n0.05 | \n10.013 | \n10.069 | \n0.13 | \n10.555 | \n10.161 | \n0.985 | \n
15 | \n14.796 | \n15.133 | \n0.84 | \n14.790 | \n15.196 | \n1.09 | \n15.375 | \n15.021 | \n0.885 | \n
20 | \n19.549 | \n20.211 | \n1.66 | \n19.867 | \n20.207 | \n0.85 | \n20.355 | \n20.100 | \n0.637 | \n
Dimensions and taper percentage of drilled holes.
Roundness of holes produced by AWJ.
Figure 8 shows a cross section of holes drilled in AZ91 Mg block using three different methods. The surface roughness of drilled surfaces with diameter 10, 15, 20 mm were measured using contact-type Taylor and Hobson surface roughness measuring instrument by considering 5 mm cutoff length. Measurement was taken in three regions of the depth (top-middle-bottom) of drilled surfaces. The average of three readings in each zone is noted down. Table 6 gives surface roughness (Ra) of drilled surfaces.
\nCross section of drilled holes.
Measurement zone | \nConventional | \nJig boring | \nAWJ | \n
---|---|---|---|
Top (0–13 mm) | \n2.65 μm | \n0.93 μm | \n3.96 μm | \n
Middle (14–26 mm) | \n3.99 μm | \n1.48 μm | \n4.47 μm | \n
Bottom (26–40 mm) | \n4.30 μm | \n1.57 μm | \n5.09 μm | \n
Ra of drilled surfaces measured in different depths.
From Table 6, it can be observed that the surface roughness of AWJ-drilled holes is more than the other two methods in all the regions. Surface roughness increases with increase in depth. This is due to loss of jet energy and a decrease in cutability of the abrasive particles at higher depths and thus deteriorates the surface quality. However comparable results can be achieved by AWJ technology when compared to conventional drilling. Despite few drawbacks, AWJ drilling offers several advantages over other methods. No burrs are observed in the AWJ-drilled surfaces, unlike conventional methods. Adhesion of the material to the drill bit, especially in drilling less than 5 mm diameter holes, is observed in both conventional methods as shown in Figure 9. Formation of FBU increases heat generation during drilling. This tendency of the Mg-based materials to adhere to the drill bits is a serious problem. Formation of FBU is completely absent in AWJ drilling since there is no direct contact between tool and work. Therefore risk-free drilling is possible through AWJ technology.
\nAdhesion of material to the drill bit.
The versatility of AWJ technology makes it suitable for cutting almost all engineering materials. Besides cutting and drilling of materials as discussed in the previous section, AWJ technology has been successfully implemented to perform some of the essential machining operations such as turning, milling, finishing, and piercing. Several investigations are carried out on these machining operations with promising results. Thus AWJ technology has become a potential machine tool for modern machining industries. This section highlights the suitability of AWJ in turning and milling operations based on past studies. Research possibilities in AWJ technology are also discussed.
\nIn AWJ turning, workpiece is rotated while the jet is traversed parallel to the axis of workpiece to produce the required shape. Research efforts on AWJT were started by Hashish during 1987; since then several experimental investigations on different machining operations were made to produce near net shape parts with faster material removal rate [49]. Investigations on samples of Mg-boron carbide MMC, glass, and aluminum concluded suitability of AWJ for performing alternative machining operations.
\nPreliminary investigations on AWJT has revealed that AWJ turning is less sensitive to the type of material being machined unlike conventional machining, no microstructural changes were observed on AWJ machined surfaces, tensile properties of cylindrical specimens turned by AWJ remains unaffected, and relative insensitivity of AWJ to length-to-diameter ratio of work piece enables the process to turn long and small diameter components. Figure 10 shows the tensile test Mg-B4C MMC specimens produced by AWJT. No appreciable microhardness changes were observed during turning of Mg-B4C MMC and aluminum. No ignition issues were observed during machining.
\nTensile specimens produced by AWJ in Mg-B4C MMC [
Investigations conducted by the University of Rhode Island [50, 51] have witnessed machining of screw threads on composite materials. Furthermore, it was revealed that a thread produced by AWJ has an excellent potential to provide sufficient joint strength when compared to adhesive bonded joints. Minimal structural damage on machined surfaces was observed during microstructural examinations. Still there are plenty of research opportunities which are open in AWJT field to expand the applications of AWJ in different areas. Detailed studies on AWJT economics, a wide range of machining parameters, and multi-objective optimization still need to be considered in order to make AWJT the most economical and alternative tool for machining.
\nMilling is one of the important alternative machining operations that can be performed by AWJ. AWJ milling has been systematically utilized where conventional machining of material is insufficient to apply. The capability of AWJ in cutting complex shapes with controlled depth has witnessed the success of AWJ milling. Recent studies have proven AWJ technology as the best alternative for milling manufacturing standard flat tensile specimens [52]. In earlier days conventional milling was the only method which was accepted internationally for manufacturing of standard sheet-type tensile specimens. Drawbacks of conventional milling in manufacturing flat tensile specimens, such as difficulties in clamping of thin sheets, requirement of milling tool with same diameter as filler radii of the tensile specimen, contouring several times to obtain desired shapes etc., have created circumstances to choose alternative nontraditional methods [53].
\nAdvantages such as lesser manufacturing time, reasonable material removal rate, and minimal deformation stress made AWJ milling a viable alternative for conventional milling. Feasibility of AWJ in milling was first proposed by Hashish in 1989 [54]. Investigations on volume removal rates and surface finish of different materials such as titanium, aluminum, and Inconel were made through linear cutting experiments. Cutting parameters such as traverse speed, number of passes, etc. were varied at different levels. Results were compared with other methods, and some of the critical observations noted from the results are listed below:
Waterjet nozzles that are used for slot cutting are sufficient to do milling operations.
Reasonable material removal rates can be achieved by AWJ milling with relatively low power levels.
AWJ machining is environmentally acceptable and safe.
In terms of energy utilization for material removal, AWJ milling is the most efficient method over other methods.
Figure 11 shows some of the complex shapes (a) and profiles of helical (b) and spur gear (c) produced by AWJ milling.
\nProfile of helical gear produced by AWJ (a) logo in AM60 Mg alloy, (b) spur gear profile in AM60 Mg alloy, and (c) cast iron helical gear profile.
Present study gives comprehensive overview of abrasive water jet cutting technology for machining Mg-based materials and Mg-MMCs. Penetration capability of AZ91 and Mg nanocomposites was investigated through linear cutting experiments. Drilling of holes with different sizes in AZ91 was performed using conventional drilling and jig boring and compared with holes drilled by AWJ. These experimental investigations on machining operations such as linear cutting and drilling have revealed suitability and capability of AWJ. The present study also highlighted the application areas of AWJ in milling and turning of different materials including MMCs. However experimental investigations made in the present study was preliminary and requires detailed process economics, optimization, and comparative studies to extend and explore research possibilities. Performance, capability, and applications of AWJ in machining different grades of Mg and Mg-MMC can be further extended with the use of advanced modeling techniques.
\nBased on preliminary studies on linear cutting and drilling operations, the following conclusions can be made:
Pressure remains dominant in deciding depth of cut in both AZ91 Mg alloy and nanocomposites. Traverse speed decides the quality of cut generated by water jets. The lower the traverse speed, the higher the surface quality, and surface quality deteriorates with increase in traverse speed. The abrasive mass flow rate has the least effect on both penetration and surface quality. Similar observations are obtained in machining different ductile materials with AWJ.
Drilling of AZ91 Mg alloy also revealed acceptable results when compared to conventional drilling and jig boring. No fire ignition issues aroused during both machining operations. The use of profile projector is found to be the accurate and straightforward way of finding the depth of penetration in linear cutting operations and obtaining roundness of AWJ-drilled holes.
Apart from linear cutting, AWJ can be successfully utilized for other machining operations such as milling and turning of Mg-based materials. Complex shapes and profiles of different types of gears can be easily produced by AWJ with lesser time compared to other NTM and conventional methods.
AWJ machining of Mg-based materials is the less studied area. Primary results presented in the chapter contribute to the optimization of AWJ process in machining Mg-based materials.
Overall it can be concluded that AWJM technology could be ideal for flexible and risk-free machining of Mg-based materials and Mg-MMCs.
We would like to thank TEQIP-BMS College of Engineering, Bengaluru, for providing materials, research facilities to conduct experiments, and financial assistance in publishing this chapter. We want to express our sincere gratitude and appreciation to Mr. Venkatesh Ramamurthy, Deputy Manager, Robert Bosch India, Bengaluru; Mr. Vikarm Kumar S Jain, Research Scholar, Dept. of Metallurgical and Materials Engg. National Institute of Technology, Tiruchirappalli, Tamilnadu; and Ms. Madhuri P Rao Research Scholar, Dept. of Chemistry, BMS College of Engineering, Bengaluru, for their invaluable support in completing this project. We also wish to express heartfelt thanks to Gopalakrishna S S for the Photoshop works seen in this work.
\n\n equal channel angular pressing compound annual growth rate flank buildup built-up edge metal matrix composite nontraditional machining laser beam machining laser-assisted machining wire electric discharge machining electric discharge machining abrasive water jet machining heat-affected zone standoff distance angle of impact depth of penetration depth of cut volume material removal energy-dispersive spectroscopy smooth cutting zone rough cutting zone water pressure traverse speed mass flow rate length of cut depth of penetration wedge angle diameter
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