H13 Tool Steel material properties.
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\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:"3774",leadTitle:null,fullTitle:"Trends in Telecommunications Technologies",title:"Trends in Telecommunications Technologies",subtitle:null,reviewType:"peer-reviewed",abstract:"The main focus of the book is the advances in telecommunications modeling, policy, \r\nand technology. In particular, several chapters of the book deal with low-level \r\nnetwork layers and present issues in optical communication technology and optical \r\nnetworks, including the deployment of optical hardware devices and the design of \r\noptical network architecture. Wireless networking is also covered, with a focus on \r\nWiFi and WiMAX technologies. The book also contains chapters that deal with \r\ntransport issues, and namely protocols and policies for efficient and guaranteed \r\ntransmission characteristics while transferring demanding data applications such as \r\nvideo. Finally, the book includes chapters that focus on the delivery of applications \r\nthrough common telecommunication channels such as the earth atmosphere. \r\nThis book is useful for researchers working in the telecommunications field, in order \r\nto read a compact gathering of some of the latest efforts in related areas. It is also \r\nuseful for educators that wish to get an up-to-date glimpse of telecommunications \r\nresearch and present it in an easily understandable and concise way. It is finally \r\nsuitable for the engineers and other interested people that would benefit from an \r\noverview of ideas, experiments, algorithms and techniques that are presented \r\nthroughout the book.",isbn:null,printIsbn:"978-953-307-072-8",pdfIsbn:"978-953-51-5877-6",doi:"10.5772/180",price:159,priceEur:175,priceUsd:205,slug:"trends-in-telecommunications-technologies",numberOfPages:780,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"f3dbabed739298bd4f93be0b050c5288",bookSignature:"Christos J Bouras",publishedDate:"March 1st 2010",coverURL:"https://cdn.intechopen.com/books/images_new/3774.jpg",numberOfDownloads:155998,numberOfWosCitations:109,numberOfCrossrefCitations:54,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:161,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:324,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"July 1st 2013",dateEndSecondStepPublish:"July 22nd 2013",dateEndThirdStepPublish:"October 26th 2013",dateEndFourthStepPublish:"January 24th 2014",dateEndFifthStepPublish:"February 23rd 2014",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"4780",title:"Prof.",name:"Christos",middleName:"J.",surname:"Bouras",slug:"christos-bouras",fullName:"Christos Bouras",profilePictureURL:"https://mts.intechopen.com/storage/users/4780/images/system/4780.jpg",biography:"Christos Bouras is Professor in the University of Patras, Department of Computer Engineering and Informatics. Also he is a scientific advisor of Research Unit 6 in Computer Technology Institute and Press - Diophantus, Patras, Greece. His research interests include Analysis of Performance of Networking and Computer Systems, Computer Networks and Protocols, Mobile and Wireless Communications, Telematics and New Services, QoS and Pricing for Networks and Services, e-learning, Networked Virtual Environments and WWW Issues. He has extended professional experience in Design and Analysis of Networks, Protocols, Telematics and New Services. He has published more than 450 papers in various well-known refereed books, conferences and journals. He is a co-author of 9 books in Greek and editor of 2 in English. He has been member of editorial board for international journals and PC member and referee in various international journals and conferences. He has participated in R&D projects.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"University of Patras",institutionURL:null,country:{name:"Greece"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"541",title:"Wireless Communication System",slug:"communications-and-security-wireless-communication-system"}],chapters:[{id:"9701",title:"A Novel PFC Circuit for Three-Phase Utilizing Single Switching Device",doi:"10.5772/8484",slug:"a-novel-pfc-circuit-for-three-phase-utilizing-single-switching-device",totalDownloads:4539,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Keiju Matsui and Masaru 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His research interest includes Design, Devolvement, and Biological screening of Small molecules, Metal complexes, Peptides for the management of Alzheimer\\'s disease, Fragile X Syndrome, and Tuberculosis. Dr. Kumar worked on Alzheimer\\'s disease and developed CNS active small molecules such as Acetylcholine, Butyl choline, Beta-secretase 1, Matrix Metalloprotein-2 and 9 inhibitors, and NMDA receptor antagonist.\nAlong with the Drug Discovery, he is also working on the Pathophysiology of Fragile X Syndrome. His work on the Fragile X Syndrome includes identification of spine abnormality and the role of Microglia. The study of Microglia-Neuron communication in genetically modified animals is his thrust area. He is also working on the gene-editing tools using CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology and the development of Blood-Brain Barrier penetrating Polymers as a delivery vehicle for CRISPR molecules.",institutionString:"Dehradun Institute of Technology University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Dehradun Institute of Technology University",institutionURL:null,country:{name:"India"}}}],coeditorOne:{id:"182874",title:"Prof.",name:"Sushil Kumar",middleName:null,surname:"Singh",slug:"sushil-kumar-singh",fullName:"Sushil Kumar Singh",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSAm4QAG/Profile_Picture_2022-04-07T11:17:21.JPG",biography:"Principal Investigator, Development of bioactive molecules as therapeutic agent for Alzheimer’s disease and screening their toxicity; IIT (BHU), Varanasi.\r\nPrincipal Investigator, Design and synthesis is of Matrix Metallo Proteinase (MMP -2 & 9) inhibitors as therapeutic agents for Alzheimer’s disease; DBT, New Delhi.\r\nCo- Principal Investigator, Cestocidal activity of glands and hairs of fruits of Mallotus phillippinensis (Kampillaka Plant); ICMR, New Delhi.\r\nPrincipal Investigator, Ethno-medicinal plants as a source of new therapeutic agents against psoriasis; National medicinal Plant Board, AYUSH, New Delhi.\r\nPrincipal Investigator, Isolation of marker compounds from Withania somnifera; Natreon Inc., Kolkata.\r\nPrincipal Investigator, Isolation of marker Compounds from natural Sources; Drug Research and Development Center, Kolkata.\r\nOne of the Investigators of the Centre, Establishment of facilities for identification, chemical characterization, standardization and quality control of medicinal plants found in tribal area in central India; DST, New Delhi.",institutionString:"Banaras Hindu University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Banaras Hindu University",institutionURL:null,country:{name:"India"}}},coeditorTwo:{id:"465935",title:"Dr.",name:"Ankit",middleName:null,surname:"Ganeshpurkar",slug:"ankit-ganeshpurkar",fullName:"Ankit Ganeshpurkar",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003RKF6EQAX/Profile_Picture_2022-04-07T11:30:06.jpg",biography:null,institutionString:"Bharati Vidyapeeth Deemed University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Bharati Vidyapeeth Deemed University",institutionURL:null,country:{name:"India"}}},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"18",title:"Neuroscience",slug:"life-sciences-neuroscience"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"453623",firstName:"Silvia",lastName:"Sabo",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/453623/images/20396_n.jpg",email:"silvia@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"6628",title:"Circadian Rhythm",subtitle:"Cellular and Molecular Mechanisms",isOpenForSubmission:!1,hash:"628bbcbfaf54a56710498540efe51b87",slug:"circadian-rhythm-cellular-and-molecular-mechanisms",bookSignature:"Mohamed Ahmed El-Esawi",coverURL:"https://cdn.intechopen.com/books/images_new/6628.jpg",editedByType:"Edited by",editors:[{id:"191770",title:"Dr.",name:"Mohamed A.",surname:"El-Esawi",slug:"mohamed-a.-el-esawi",fullName:"Mohamed A. 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This additive manufacturing technology method offers an important series of advantages as compared to the conventional manufacturing methods that consists in the capability of realizing different parts with high complexity of the shape, the reduced manufacturing time, etc. By using the SLM method, it is possible to manufacture finite parts without necessarily using other supplementary manufacturing processes. The mechanical properties of the realized parts are acceptable, being dependent on the composition and the size of the metallic powder grains, and also on the internal structure of the parts, process parameters, and the manufacturing strategy used. These factors also have an important influence on the surface roughness and the accuracy of the manufactured parts.
\nThe working principle of the SLM process is easy to understood, as could be observed in Figure 1. There are several steps that have to be fulfilled. Before starting the process, an inert gas (nitrogen or argon) will be introduced in the SLM machine chamber through a circulating system as presented in Figure 1, until an inert atmosphere will be obtained inside the working chamber (the maximum level of oxygen admitted inside is 0.1%). Furthermore, the inert gas will be circulated through the system during the entire process until the end with a level of 0.1% of oxygen maintained constant.
\nWorking principle of the SLM process [
The process continues with the deposition of the raw material from the powder container over the building platform by using a wiper that moves along the Y-axis direction. The thickness of the deposited material is around 20–100 µm for the first few layers. The process is repeated until the powder covers the entire building platform uniformly. Then the layer thickness will be set to a constant value of 30–50 µm and the process continues with the scanning of the first layer according to the first slice of the model, and then this will continue with the scanning of the next slice and so on until the part will be finished on the machine.
\nThe building platform is moved along the Z-axis after the scanning process of every layer. Finally, when the maximum height of the building packet is reached, the building platform is moved to the start position and the manufactured packet is removed from the platform after sucking the non-melted metallic powder and after eliminating the metallic supports that were generated within the control software of the SLM system. The metallic supports have a wired structure and are needed in the manufacturing process in order to maintain the built part onto the manufacturing platform.
\nThe SLM technology looks quite simple in theory, but the process control is not so simple from the experimental point of view. Experts’ opinions regarding the technological parameters that have a significant influence onto the accuracy and the mechanical properties of a manufactured part made by SLM are quite different [1]. There are researchers who state that these characteristics are directly influenced by the laser system. So, the laser power or the laser beam diameter is important when speaking about the accuracy or porosity of a manufactured part [2, 3]. There are other researchers that state that the optical system in close connection to the scanning strategy is the most important when speaking about the accuracy or porosity of the manufactured part using the SLM equipment. The possibility of cooling-down the optics or optic’s design is one of the most important issues in this case [4, 5]. Other researchers state that the scanning speed, the layer thickness or the building temperature have a direct influence over the SLM process and the accuracy or porosity of the manufactured parts as well [6–9]. There are also a series of researchers which consider that the properties of the raw material (particle size, particle distribution, etc.) are important within the SLM process, especially in the case when the resulted porosity of the material has to be precisely controlled [10–11]. Other researchers state that innovative technologies should be used in combination with the classical manufacturing technologies in the so called “hybrid technologies” [12–15]. This means, for example, that the parts have to be manufactured by using the SLM technology and finishing of the part can be done on the same equipment by using conventional manufacturing methods, such as milling. In this way, the accuracy of the manufactured part and the surface roughness will be improved significantly. Looking on all these various researches reported by the authors, it is very difficult to state who is right and who is not right regarding the best control of the SLM process.
\nThe existence of an MCP Realizer II SLM 250 equipment (see Figure 2) at the National Centre of Innovative Manufacturing from the Technical University of Cluj-Napoca (TUC-N) facilitated the start of different research activities in this field at TUC-N with the aim of improving the Selective Laser Melting (SLM) process capability for a better transfer of the technological gained knowledge to different partners from the industrial and medical fields. Reaching this goal has been also facilitated by the fact that in the period 2010–2013 at the Technical University of Cluj-Napoca, within a postdoctoral project financed by European Commission (E.U.), it was possible to activate with the program entitled “Research regarding the manufacturing of metallic parts by Selective Laser Melting (SLM) technology.”
\nMCP Realizer II SLM 250 system from the Technical University of Cluj-Napoca.
Part of the results obtained in this postdoctoral program, in cooperation with the SLM Solutions GmbH Company from Luebeck, Germany (best practice examples) are presented in this chapter of the book.
\nOne of the most important applications of the Selective Laser Melting (SLM) technology is the manufacturing of tools for the injection moulding process. Besides the advantages of the SLM process that consists in the fact that it is rapid, does not depend on the shape of the tool and it has reasonable costs as compared to the classical manufacturing technologies, there are some disadvantages as well. One of the major disadvantages of the SLM process is the accuracy, which is below the accuracy provided by some well-known classical technologies, such as grinding. The SLM technology looks quite simple in theory, but the process control is not so simple from the experimental point of view. The research started within the Technical University of Cluj-Napoca, in cooperation with Plastor SA Company from Oradea (Romania) and SLM Solutions GmbH Company from Luebeck (Germany) has proved the complexity of the SLM technology in the manufacturing of the injection moulding tools process. There are many important aspects that have to be taken into account, as mentioned above, when speaking about the accuracy of the manufactured injection moulding tools, in close-connection with the accuracy of the SLM process.
\nThe case study to be analyzed refers to the injection moulding tool components (punch and die) for a lid button of a grass-cutting machine manufactured by Plastor SA Company from Oradea (Romania) (see Figure 3).
\nInjection moulding tools for a lid button (ProEngineer design).
The 3D CAD models were imported afterward into the Ansys FEA program and the mesh was generated as illustrated in Figure 4. A mesh with a total number of 31.930 nodes and 18.618 elements for the punch and 28.276 nodes and 15.118 elements for the die, respectively, were generated within the FEA program.
\nThe mesh generated for the injection moulding tools—punch and die (Ansys 13).
Another important aspect consists in the introduction of thermal and mechanical characteristics of the raw material, as it was specified by the producer of the type of metallic powder that is commercially available for such applications: H13 Tool Steel material (see Table 1) [16–17]. The injection moulding tools were manufactured using the SLM 250 HL equipment from SLM Solutions GmbH Company in Luebeck, Germany from this type of material, having the same characteristics as the ones that were introduced within the finite element analysis (H13 Tool Steel material).
\nThe next step of the finite element analysis consisted in the introduction of technological parameters within the Ansys program. The laser power, scanning speed and powder bed temperature were introduced as a subroutine into the analysis within the ANSYS APDL Heat Transfer Module.
\nTwenty finite element analyses were done using varied values of the technological parameters specified in Table 2, in order to find the combination of parameters that leads to an optimum closing of the active elements of moulds (see Figure 5 and Table 3).
\nProperty | \nValue | \n
---|---|
Density | \n7.80 (g/cm3) | \n
Rockwell C hardness | \n54 HRC | \n
Tensile strength | \n1730 MPa | \n
Elongation | \n10.0% | \n
Specific heat at 20°C | \n460 (J/kg K) | \n
Thermal conductivity | \n28.6 (W/mK) | \n
Melting point | \n1020°C | \n
Poisson coefficient | \n0.3 | \n
Elastic modulus | \n200 GPa | \n
H13 Tool Steel material properties.
Technological parameter | \nVaried value | \n|||||
---|---|---|---|---|---|---|
Laser power [W] | \n175 | \n180 | \n185 | \n190 | \n195 | \n200 | \n
Scanning speed [mm/s] | \n250 | \n300 | \n350 | \n400 | \n450 | \n500 | \n
Powder bed temperature [°C] | \n80 | \n104 | \n128 | \n152 | \n176 | \n200 | \n
Technological parameters introduced in analysis using the APDL Heat transfer module.
Besides these technological parameters that were varied within the finite element analysis, there were also other important parameters that were specified, but were maintained constant during the analyses, such as the layer thickness (30 µm) and the hatching distance (20 µm). As it is possible to observe from the analysis, the value of technological parameters that leads to a minimum shrinkage in the case of punch and die made by SLM are different. If the temperature of the powder bed has the same value in both cases (176°C), the laser power and the scanning speed should be different, such as at the end the punch and die would fit by the closing point of view.
\nItem | \nLaser power [W] | \nScanning speed [mm/s] | \nPowder bed temperature [°C] | \nShrinkage Δx [µm] | \nShrinkage Δy [µm] | \n
---|---|---|---|---|---|
Punch | \n175 | \n300 | \n176 | \n70.162 | \n66.439 | \n
Die | \n200 | \n400 | \n176 | \n71.496 | \n73.231 | \n
Results of the finite element analyses.
The resulted shrinkage of the punch and die.
One may conclude that in the case of SLM technology it is very difficult to find a set of technological parameters that would be unique and universally valid in all cases of moulds manufactured by SLM from H13 Tool Steel material. The technological parameters to be used within the SLM process have to be different, according to the type and the shape of the metallic tools to be manufactured. The laser power and the energy density being applied on the scanned surface are obviously different if the injection moulding tools have thin walls or these tools are solid and massive in the entire structure of the material.
\nBesides setting up the technological parameters, there is another important aspect regarding the accuracy issue, such as the support generating stage that is actually a pre-processing stage needed in the SLM process, in order to sustain the manufactured part onto the building platform of the machine.
\nThe metallic supports have a wired structure and are needed because of the high stresses that occur during the welding process, having the tendency of severely deforming the manufactured models during manufacturing process, especially if welded connection is not good on the building platform starting with the first layers of the manufactured parts while manufacturing. The metallic supports were generated, for the punch and die, using the Magics 15 software, as one may observe in Figure 6. The metallic supports are removed within the post-processing stage.
\nSupports generated for the punch and die using Magics 15 software.
The punch and die illustrated in Figure 7 were manufactured on the SLM 250 HL equipment from SLM Solutions GmbH Company from Luebeck (Germany) presented in Figure 8, using the technological parameters presented in Table 3, as they were determined within the finite element analyses.
\nThe injection moulding tools made by SLM equipment.
Some measurements of the injection moulding tools were also made at the Technical University of Cluj-Napoca using a Zeiss Eclipse 550 CMM equipment. The conclusion was that the obtained results are comparable to the ones estimated within the finite element analysis (designed dimensions). The maximum value of shrinkage that has been experimentally determined has a value of approximately 80 µm, both in the case of the punch and die (see Figures 9 and 10).
\nThe lowest values of deformations (less than 10 µm) were obtained in the case of the dimensions H1, used for the correct positioning of the punch and die. The mean value of the punch and die shrinkage has been determined in the interval of 30–40 µm, values that are comparable to the ones obtained in the case when the punch and die are produced by using similar technologies dealing with metallic powders such as Selective Laser Sintering (SLS) and Classical Sintering (CS).
\nThe SLM 250 HL equipment at SLM Solutions GmbH Company from Luebeck, Germany.
There are still other issues to be investigated in the near future such as finding a way for a better control of the SLM process.
\nThe errors that occur during the SLM process can be compensated if precisely calculated scale factors would be applied in the pre-processing stage onto the 3D model that has to be manufactured using the SLM equipment.
\nSchematic draw of the dimensions measured in case of punch and die.
Shrinkage values in microns determined in the case of punch and die.
In order to test the active elements of the mould made by SLM technology within the Plastor S.A. company from Oradea, it was required the manufacturing of additional fixing plates using conventional technologies at Plastor SA, as it is possible to observe in Figure 11. These plates were mounted onto the injection moulding machine Arburg 370 CMD 800-325 - type that is available within Plastor SA Company from Oradea.
\nBefore the injection moulding experiment were made, tests were required to be done using different finite element analyses through the Autodesk Simulation Moldflow Adviser program, in order to determine the plastic injection parameters, such as the injection pressure, filling speed, etc. Four types of plastic materials were tested, such as Acryl Butadiene Styrene – ABS, Polypropylene – PP, Polyamide armed with glass fibers - PA+30% GF and Poly Oxy Methylene– POM.
\nActive elements of moulds made by SLM mounted onto the plates manufactured at Plastor S.A. company from Oradea.
Arburg 370 CMD 800-325 injection moulding equipment (Plastor SA Company Oradea).
After the mesh was generated and the optimum injection point was specified, as one could be observed in Figure 13, in accordance with the fiber plastic material orientation, the next step consists in determining of the injection moulding technological parameters, such as the filling speed, injection pressure, cooling time, etc.
\nOptimum injection point and plastic material fiber orientation.
Figure 14 presents the values obtained for the injection pressure and the filling time in the case of ROTEC® ABS 1001 FR V0/4 material. As it is possible to observe in these images, the injection pressure required in this case is 5.130 MPa and the filling time is 0.7437 seconds.
\nRegarding the other plastic injection technological parameters (filling speed, melting temperature, cooling time), it is important to specify the fact that these parameters have a significant importance in the plastic injection process. Filling speed depends on the injection pressure and the properties of the plastic material. The cooling time is directly correlated with the capacity of injection moulding tool to conduct the thermal energy at the end.
\nAn important aspect regarding the finite element analysis that has been performed is represented by the volumetric shrinkage at the end of the injection moulding process. As it is possible to observe in Figure 15, the volumetric shrinkage in the case of ABS plastic material were less than 4% for more than 90% of total part surface. In the clamping areas, the volumetric shrinkage values were higher, being closed to a value of 7%.
\nInjection pressure and filling time in the case of ABS plastic material.
Volumetric shrinkage at ejection at the end of injection moulding process.
The results obtained using the finite element analyses made using the MoldFlow program in the case of all plastic materials – Acryl Butadiene Styrene – ABS, Polypropylene – PP, Polyamide armed with glass fibers - PA+30% GF and Poly Oxy Methylene– POM- are presented in Table 4.
\nThe technological parameters presented in Table 4 were used for the injection moulding tests that were made at Plastor SA Company from Oradea. All plastic materials were dried in an oven for three hours at a temperature of 80°C, with the exception of the Poly-propylene (PP) material which is not required to be dried. The maximum clamping force used during the injection moulding tests was 5 T for all four types of plastic materials that were tested.
\nType of material / Parameter | \nPP | \nABS | \nPA | \nPOM | \n
---|---|---|---|---|
- Injection pressure [MPa] | \n5.13 | \n20.78 | \n10.32 | \n10.39 | \n
- Filling time [s] | \n0.74 | \n0.74 | \n0.84 | \n3.7 | \n
- Cooling time [s] | \n39.73 | \n26.48 | \n18.33 | \n63.91 | \n
- Injection temperature [°C] | \n230 | \n220 | \n280 | \n200 | \n
- Volumetric shrinkage [%] | \n11.52 | \n6.89 | \n11.76 | \n14.18 | \n
- Clamping force[T] | \n0.99 | \n3.8 | \n2.02 | \n2.01 | \n
Results obtained using finite element analyses made by using Mold Flow program.
Injection moulding tools mounted on the Arburg 370 CMD 800-325 testing machine from Plastor SA Oradea.
The injection pressure is different in accordance with the type of the plastic material that was tested. The injection pressure was for example 50 bars in the case of PP material and 210 bars in the case of ABS material. This fact was mainly caused by the fact that the PP material had a density of 0.9 g/cm3 as compared to the ABS material which had a density of 1.2 g/cm3. In order to fill in the cavity with plastic material in the second case, a pressure difference of 160 bars is necessary.
\nThe cooling time was adjusted differently in accordance with the plastic material that was injected into the mould. In the case of PA plastic material, a total time of 15 seconds is required, as compared with the ABS plastic material where the cooling time required is 50 seconds. This can be explained by the fact that the thermal conductivity coefficient is different in these cases. In the case of PA material, the thermal conductivity coefficient is 0.36 W/mK, while in the case of the ABS plastic material the value of this coefficient is 0.17 W/mK. The difference of 0.19 W/mK is transformed to the time difference required to cool-down the material in a supplementary period of 35 seconds.
\nAs a conclusion of made research, it is possible to state that the Selective Laser Melting technology is easy to be understood in principle, but it is not so easy to be controlled. There are a lot of aspects that have to be taken into consideration when speaking about the accuracy of the injection moulding tools made by Selective Laser Melting (SLM), starting with the properties of the raw material, the optical system and ending with the scanning strategy or the technological parameters that are used in the manufacturing process. As related to the technological parameters (laser power, scanning speed, powder bed temperature, etc.), as it has been proven by the finite element analyses that were made, it is very difficult to find a set of technological parameters that would be unique and universally valid in all cases of moulds manufactured by Selective Laser Melting from H13 Tool Steel material. The accuracy of the injection-moulded tools made by Selective Laser Melting technology will be different, being dependent on the geometry of the tools (the size and the shape) and the accuracy of the process. Research still needs to be done in the future regarding the determination of scale factors that can be applied in the pre-processing stage onto the 3D model that has to be manufactured using the Selective Laser Melting equipment. The injection moulding tools were successfully manufactured on an SLM 250 HL equipment in the SLM Solutions GmbH Company from Luebeck (Germany) and tested in the injection moulding process of four type of plastic materials (Acryl Butadiene Styrene – ABS, Polypropylene – PP, Polyamide armed with glass fibers - PA+30% GF and Poly Oxy Methylene– POM) at Plastor SA Company from Oradea (Romania), as it is possible to observe in Figure 17.
\nInjected plastic materials obtained at Plastor SA Oradea using the injection moulding tools made by SLM.
The recent researches developed in the bio-medical field proved the high interest that exists in this field regarding the possibilities of manufacturing customized medical implants using Additive Manufacturing (AM) methods, such as Selective Laser Sintering (SLS), Selective Laser Melting (SLM) or Electron Beam Melting (EBM) [18–22]. These types of AM methods allow the manufacturing of fully dense metallic parts with complex geometrical shape, starting from a 3D model realized with a computer aided design (CAD) program and exported in an “*.stl” format [23]. Fully dense metallic structures are required to be produced in the case of customized medical implants made by SLM, especially in some regions where the implants needs to be fixed into the human bone with titanium screws. There are also regions of the implants where the porous structure is required for a better osseointegration process of the human tissue through the surface of the medical implant made by SLM. Obtaining structures with a well-controlled level of porosity in this case is very important and could be achieved in different ways, such as by designing an implant having different types of lattice structures (geometrical configuration of cells) by adjusting the technological parameters (laser power, hatching distance, etc.) and the scanning strategy during the SLM manufacturing process, or by mixing in different ratios the raw powder material (titanium, in this case) with other types of biocompatible materials (e.g. hydroxyapatite, PMMA, etc.) [24]. The research presented in this chapter, made at the Technical University of Cluj-Napoca (TUC-N), was focused on the finite element analysis of the strain and stress of several models that were especially designed to have different types of lattice structures (size and geometrical configuration of cells). The samples designed and made by SLM at TUC-N using the MCP Realizer II SLM 250 equipment were analyzed afterwards by using a Scanning Electron Microscope JSM – 5600 LV (JEOL) type, in order to determine which is the optimum size and configuration of the cells to be recommended from the structural point of view to be used within the design and manufacturing process of a customized medical implant to be made by SLM. Taking into account the results obtained at TUC-N, a customized medical implant was manufactured by SLM from TiAl6V4 material for a German Medical Institute, by using the SLM 250 HL equipment from SLM Solutions GmbH Company (Luebeck, Germany), at the end.
\nSix types of models similar to the ones presented in Figure 18 were designed using SolidWorks, with different types of lattice structures (geometrical features), as following:\n
rhombic shape (size of a single cell=1 mm)
hexagonal shape (diameter of a single cell=Ф1.45 mm)
square shape rounded at the edges (size of a single cell: l=0.8 mm; r=0.1 mm)
rectangular shape (size of a single cell: l1=1 mm; l2=0.6 mm)
circular shape (diameter of a single cell: d=1 mm)
pyramidal shape (base size of a single cell: l=1.5 mm).
Models with different geometrical features designed using SolidWorks.
The extrusion and width of the cells was designed as having 0.2 mm in the case of all models that were designed using SolidWorks. The cellular structure has been obtained by copying the shape of a single cell along the X and Y-axes directions. The models designed in this way were further analyzed using the Abaqus finite element program, in order to determine the stress and strain of the samples and their mechanical behaviour, in the case of a particular pressure load that has been applied in the uniaxial direction onto the top surface of the designed models.
\nThe mechanical behaviour of all models presented in Figure 18 was analyzed using the Abaqus 6.9-3 FEA program. Several material characteristics, such as the elastic modulus (E=114 GPa), Poisson ratio (
The next step consisted in establishing the movement restrictions along the X, Y, and Z-axes, as illustrated in Figure 19.
\nMovement restriction applied on the Z-axis direction.
As one may notice, the “Displacement” type of restriction has been selected in this case. The degrees of freedom were locked accordingly along all three axes by selecting the adequate facet of the model and by setting up the corresponding displacement value to zero.
\nApplied load specified in the analysis.
The pressure applied in a single direction onto the top surface of the model was determined by using formula (1):
A force value F = 3200 N, which corresponds to four-times higher the force exerted by a person weighing 80 kg has been considered in all analyzed cases. The value of the contact area Ap in mm2 was different from case to case, due to the fact that the geometrical configuration of the cells was different. The Ap value was determined for each case by using the tools that are available within the SolidWorks CAD program. The pressure load determined by using formula (1) was introduced for each particular case, as shown in Figure 20.
\nThe mesh has been generated as illustrated in Figure 21. The selected shape of the finite elements was tetrahedral, with an approximate global size of 0.25 mm and a maximum curvature control having a deviation factor of about 0.1 mm.
\nElement-type control and mesh-size control defined for the FEA.
The equivalent von Mises stress, displacement and equivalent strain were determined for all the six samples presented in Figure 18, using the finite element analysis method. The analysis allowed formulating recommendations with reference to the optimum values ranging in the standard limits that exist in this field.
\nIn order to determine the equivalent von Mises stress, for the calculus made within Abaqus FEA program, it has been considered the fifth theory for multiaxial stresses:
If we consider in formula (2) that the tangential stresses are equal,
a particular state of uniaxial stress is obtained. The simplified formula was used within Abaqus FEA program in order to perform the interpretation of the stress results.
\nThe stress energy was also calculated according to formula (4):
where
As one may notice in Figure 22, the values of the equivalent stress von Mises were lower than the yield strength σc= 775 MPa specified in the material datasheet provided by the supplier of the TiAl6V4 material. The minimum value of the equivalent stress von Mises (102.50 MPa) has been determined in the case of the sample with lattice structure designed as having cells with a rhombic shape, while the maximum value (278.56 MPa) was obtained in the case of the sample designed with cells having a conical shape. If we consider a value of 212 MPa for the mechanical resistance of the trabecular bone, the adequate solution would be to design and produce the medical implant as having a rhombic shape of the cell, in this case [25].
\nDistribution of the equivalent stress von Mises as computed by the Abaqus FEA program.
The displacement and equivalent strain values were negligible in all cases that were analyzed, being considered too low for affecting the bone or customized medical implant made from titanium powder by SLM [25].
\nThe manufacturing of the six samples was realized using the MCP Realizer II SLM 250 from the National Centre of Innovative Manufacturing from the Technical University of Cluj-Napoca (TUC-N) presented in Figure 2. After the metallic supports were removed, the manufactured samples made by SLM were obtained as presented in Figure 23.
\nSamples manufactured using the MCP Realizer II SLM 250 equipment [
After the manufacturing process, the structure of the samples was analyzed by using a Scanning Electron Microscope (SEM) JSM-5600 LV (JEOL) – type that is available at the Technical University of Cluj-Napoca (TUC-N).
\nThe best geometrical configuration of the lattice structures that were manufactured by SLM was the rhombic one (see Figure 24). By analyzing the image presented in Figure 24.a, a series of appreciations regarding the metallic grains distribution on the surface of the sample was made. As it is possible to observe in this image, the grains are distributed in a uniform manner.
\nMetallographic analysis of the sample with rhombic geometrical shape manufactured by SLM. (a) Sample realized by SLM (70X) (b) Sample realized by SLM (600 x).
By zooming in the surface analyzed area (600x), it was possible to observe that the presence of secondary pores was at the lowest level in this case, conferring higher resistance connections of the grains in the lattice structure. By analyzing the image presented in Figure 24b it is possible to observe that the grains that were partially melted formed bridge connections with the grains stated in a semi-liquid phase of about 50 μm.
\nTaking into account the obtained results, a customized medical implant was manufactured by SLM from TiAl6V4 material for a German Medical Institute, using the SLM 250 HL equipment from SLM Solutions Gmbh Company from Luebeck, Germany, presented in Figure 8.
\nThis equipment was selected for the manufacturing process of the customized implant presented in Figure 25, due to the fact that this type of equipment, as compared to the MCP Realizer SLM 250 equipment from the Technical University of Cluj-Napoca allows the possibility of using different type of scanning strategies in the same deposited layers, in such way that at the end, in some areas of the implant (e.g. the area where fixing screws are required) this areas will result with a density of 100%, while in other areas (e.g. areas where the medical implant is getting in contact with the human tissue), the areas will be a porous one, the osseointegration process being facilitated in a significant way in that region.
\nManufactured area | \nScanning strategy | \nLaser power [W] | \nScanning speed [mm/s] | \nLayer thickness [μm] | \n
---|---|---|---|---|
Supports | \nHatch Solid | \n100 | \n500 | \n30 | \n
Solid areas | \nStripes with skin | \n100 | \n550 | \n30 | \n
Porous structure | \nStripes with skin | \n175 | \n470 | \n30 | \n
Technological parameters used for manufacturing the customized medical implants by SLM using the SLM 250 HL equipment.
Customized medical implant manufactured from Ti6Al4V material using the SLM 250 HL equipment.
A metallographic analysis of the medical implant was made using the JSM-5600 LV (JEOL) Scanning Electron Microscope (SEM) from the Technical University of Cluj-Napoca. The analyzed area was a mixed area that is close to the contact area of the fixing screws (an area with 100% density of the material) and an area with a controlled porosity given by the geometrical shape of the lattice structure, as it is possible to observe in Figure 26.
\n(a) Lattice structure (2x), (b) welding lines (25x) of the customized medical implant made by SLM.
As it is possible to observe in Figure 26.a, the laser beam has followed very accurately the geometrical path of the bore that was designed for fixing the implant with screws. The density in this area is 100%, conferring a higher mechanical strength that is required for fixing the medical implant onto the femoral head.
\nBy zooming in the image of the analyzed area, as it is possible to observe in Figure 26.b, the size and the distribution of the pores resulted in the structure of the material was homogenous and uniformly distributed (wall thickness of the cells was approximately 1 mm), an aspect that is important for the future proliferation of the human tissue within the structure of the medical implant within the osseointegration process, at the end.
\nAs it was possible to observe by analyzing the results obtained after the finite element analyses, the sample with the cells having a rhombic shape has proved to be optimal from the mechanical resistance point of view as compared to the results obtained in the case of the other analyzed samples. Taking into account the obtained results, a customized medical implant was manufactured by SLM from TiAl6V4 material for a German Medical Institute, using the SLM 250 HL equipment from SLM Solutions GmbH Company from Luebeck. A metallographic analysis of the medical implant was made using the JSM-5600 LV (JEOL) Scanning Electron Microscope (SEM) from the Technical University of Cluj-Napoca, proving the fact that the laser beam has followed very accurately the geometrical path of the bore that was designed for fixing the implant with screws, and that the size and the distribution of the pores resulted in the structure of the material which is homogenous and uniform, with positive consequences for the future proliferation of the human tissue within the structure of the medical implant within the osseointegration process. Further researches are required to be done in the future regarding the possibilities of manufacturing customized medical implants with a well-controlled level of porosity, made from new types of biocompatible materials (e.g. titanium samples coated with hydroxyapatite or PMMA). Finding a proper method for the stress-release of customized medical implants made from titanium based alloys, during or after the Selective Laser Melting (SLM) process still presents an important challenge for the future researches, as well.
\nAluminum Metal Matrix Composites are favored over other conventional materials in aerospace, automotive, and marine applications because of improved properties such as high strength-to-weight ratio, good wear resistance, and so on. Graphene’s mechanical, physical, optical, and thermal properties make it an outstanding metal composite reinforcement material. Pure aluminum graphene nanoplatelets (GNPs) were reinforced in a base matrix (pure Al) with different weight percentages to form aluminum metal matrix composites using stir casting [1, 2] powder metallurgy [3] and other techniques. The uniform distribution of graphene nanoplatelets [4, 5] in the aluminum matrix improves mechanical properties significantly. Stephen et al. [6] discovered that graphene-aluminum nanocomposites had lower strength and stiffness than pure aluminum reinforced with multi-walled carbon nanotube composites due to the production of enhanced aluminum carbide with the graphene filler. Venkata Subbaiah et al. [7] investigated the microstructural and mechanical properties of AA7075-GNPs. In an aluminum 7075 base matrix, ultrasonic-assisted stir casting was used to produce graphene nanoplatelets varying from 0.5 to 2.0 wt%. The composite with 0.5% GNPs had the highest tensile strength and microhardness due to the less porosity and uniform distribution of GNPs in the AA7075 matrix. According to Bhanu Prakash et al. [8], the microstructure and mechanical properties of aluminum 7075 graphene nanoplatelets ranged from 0.50 to 2 wt% in base matrix fabricated using the stir casting technique. In comparison with other weight percentages, AA 7075–1.5% GNPs provided the composite with better mechanical properties. Due to the graphene’s uniform distribution with the base metal, Muhammed Emre Turan et al. [9] discovered that adding graphene to pure magnesium in different weight proportions improved hardness values. Xin Gao et al. [10] stress the contents of graphene reinforced with base minerals. The effect of graphene on the tensile strength of the prepared composites increases by 0.3 wt% as the graphene content increases. As the proportion of graphene in the composite increases, the tensile strength and percentage of elongation to fracturing decrease. A systematic approach to GNP composites’ selection is necessary to choose the best material for a given application. The correct material selection technique entails precisely describing the application requirement in terms of mechanical properties, primarily for the utility class defined in the proposed application. Various researchers have used MADM methods such as VIKOR, EDAS, WSM PROMETHE, and TOPSIS to select the best material for specific applications in a range of fields such as automotive [11, 12, 13, 14, 15, 16], marine [17, 18], medical [19], and agriculture [20, 21, 22]. The VIKOR method outperformed the other 10 most common methods for selecting suitable materials for a sailing boat mast, a flywheel, and a cryogenic storage tank, according to the author [23]. The optimal material, according to the researcher [24], is solely determined by the criterion’s maximum priority value. The most conclusive of the three MCDM methods is VIKOR (TOPSIS, VIKOR, and PROMETHEE). Caliskan et al. [25] rated the materials using the PROMETHEE II, TOPSIS, and VIKOR methods and compared the results obtained by each process. Tungsten carbide-cobalt and Fe-5Cr-Mo-V aircraft steel were found to be the best materials for tool holder production. A new version of the VIKOR method, based on criteria for selecting the best material, particularly in the biomedical field, was proposed by Jahan et al. [26]
In this research, the best material for aircraft application was chosen from five options of aluminum graphene nanoplatelet composites. Figure 1 depicts the beneficial and non-beneficial criteria. MADM’s EDAS and VIKOR methods are used to choose the right option. Procedural steps for criterion methods are represented in Figure 2.
Beneficial and non-beneficial criterion.
Applied steps for EDAS and VIKOR.
Stir casting has been used for the manufacturing of pure aluminum GNPs composites because it has a lower initial cost than other fabrication techniques. The author detailed the manufacturing of Al-GNPs composites in his prior work [1]. Mechanical stirring was used to distribute the reinforcing phases in the molten matrix metal during the fabrication process. Table 1 displays the matrix and reinforcing materials used in the composite fabrication process.
Sl. no. | Matrix materials | Reinforcements | Size of reinforcements |
---|---|---|---|
1 | Pure aluminum (99.5%) | GNPs (0.5–2.0 wt.%) | 2–10 nm |
Material and reinforcement for composite fabrication.
Physical and mechanical tests on the fabricated composite were used to classify the pure aluminum GNPs composite. These experiments were carried out on well-prepared specimens prepared according to ASTM Standards such as ASTM E8 & ASTM A370 for Tensile Test and Impact test, to investigate the impact of reinforcements in pure aluminum for aircraft applications.
A multi-attribute decision-making problem is represented by a matrix X, which contains n alternatives and m criteria.
where Xij is the ith alternative’s output on the jth criterion. In MADM methods, the weight value (wj) for each criterion must be determined such that the number of all criterion weights equals to one. The entropy approach is used to calculate these weights.
The EDAS method is a distance-based technique that employs positive and negative distances from the average solution. The options are listed in ascending order. The procedural steps for n alternative composite and m parameters suggested [27, 28] are as follows:
Wj = weight of jth criterion.
Where 0 ≤ ASi ≤ 1.
The alternative with the outstanding appraisal score is chosen as the best, among the other selective alternatives.
According to the VIKOR technique given by Rao [29] and Chatterjee et al. [30] for material selection, the compromise may be common for resolving the dispute, and the practicable option may be nearest to the ideal solution. The options are primarily assessed based on all of the characteristics taken into account.
The alternatives are ranked in the ascending order for the Q i values. The one having the lower value of Q i is considered as the best alternative.
Table 2 displays the decision matrix for the pure aluminum graphene nanoplatelets (GNP’s) composites, which contains five alternatives and five parameters (1 & 2). The entropy method was used to calculate the objective weights, which are described in Table 3. MATLAB R2020a software was used to create a programme that used the formulae for the methods (EDAS and VIKOR) to determine performance measures. The entropy methods are used to measure the weights of different parameters such as mass, percentage elongation, tensile strength (TS), hardness, and impact strength (IS). The material that is used for fuselage construction is of lightweight and good strength and is more corrosion resistant. An attempt was made by developing an alternative material to serve the purpose.
Table 1 decision matrix displays the average solution (AVj) determined using Eq. (3). Eqs. (4) and (5) were used to quantify positive and negative distances based on the types of beneficial and non-beneficial parameters mentioned in Tables 4 and 5. Eqs. (6) and (7) are used to measure the positive and negative weighted sums (7). Eqs. (8) and (9) are used to measure the normalized positive and negative weighted sums (9). Eq. (10) is used to measure the final assessment score (ASi) for all alternatives, as shown in Table 6. 5-1-2-3-4 is the ranking of alternative composite materials. The best composite for the fuselage in aircraft applications is pure aluminum reinforced with 0.5wt% GNP, though pure aluminum is the least favored.
S. no | Al + wt.% GNPs | Density(g/cc) | % Elongation | UTS (MPa) | Micro-hardness | Impact strength(kJ/m2) |
---|---|---|---|---|---|---|
1 | Pure Al | 2.68 | 38 | 77 | 25 | 127 |
2 | Pure Al + 0.5 | 2.68 | 64 | 88 | 56 | 850 |
3 | Pure Al + 1.0 | 2.68 | 56 | 85 | 44 | 775 |
4 | Pure Al + 1.5 | 2.68 | 38 | 77 | 38 | 750 |
5 | Pure Al + 2.0 | 2.68 | 35 | 65 | 35 | 735 |
AVJ | 2.681 | 46 | 79 | 39 | 647 |
Decision matrix.
Weight | Density | %Elongation | UTS | Micro-hardness | Impact strength |
---|---|---|---|---|---|
W | 0.000005 | 0.170289 | 0.028746 | 0.183363 | 0.617597 |
Entropy weights of criteria.
Based on the Entropy method, weights were calculated and used for criterion selection.
S. no | Al + GNP wt% | Density | % Elongation | UTS | Hardness | IS |
---|---|---|---|---|---|---|
1 | Pure Al | 0 | 0 | 0 | 0 | 0 |
2 | Pure Al + 0.5 | 0.00067 | 0.38977 | 0.12573 | 0.41989 | 0.31311 |
3 | Pure Al + 1.0 | 0.00067 | 0.21625 | 0.08064 | 0.1034 | 0.19725 |
4 | Pure Al + 1.5 | 0.00067 | 0 | 0 | 0 | 0.15863 |
5 | Pure Al + 2.0 | 0.00067 | 0 | 0 | 0 | 0.13546 |
(PDA) positive distance from average.
S. no | Al + Wt.%GNP | Density | % Elongation | UTS | Micro-hardness | Impact strength |
---|---|---|---|---|---|---|
1 | Pure Al | 0.00268 | 0.18176 | 0.01806 | 0.36702 | 0.80445 |
2 | Pure Al + 0.5 | 0 | 0 | 0 | 0 | 0 |
3 | Pure Al + 1.0 | 0 | 0 | 0 | 0 | 0 |
4 | Pure Al + 1.5 | 0 | 0.18176 | 0.01806 | 0.03484 | 0 |
5 | Pure Al + 2.0 | 0 | 0.24251 | 0.17025 | 0.12143 | 0 |
(NDA) negative distance from average.
S. no | Al + wt% GNP | SPi | SNi | NSPi | NSNi | ASi | Rank |
---|---|---|---|---|---|---|---|
1 | Pure Al | 0.000000 | 0.595597 | 0 | 0 | 0 | 5 |
2 | Pure Al + 0.5 | 0.340359 | 0.000000 | 1 | 1 | 1 | 1 |
3 | Pure Al + 1.0 | 0.179926 | 0.000000 | 0.52864 | 1 | 0.76432 | 2 |
4 | Pure Al + 1.5 | 0.097970 | 0.037858 | 0.28784 | 0.93644 | 0.61214 | 3 |
5 | Pure Al + 2.0 | 0.083658 | 0.068456 | 0.24579 | 0.88506 | 0.56543 | 4 |
Normalized positive and negative weighted sums, appraisal scores, and rank of alternatives.
The related utility and regret measures, as well as Qi values for the five alternative composite materials and the parameters, are determined using Eqs. (13)–(17), as shown in Table 7 (taking N = 0.5). Table 8 shows the best and worst values for the beneficial and non-beneficial criteria measured using Eqs. (11) and (12). The ranks of alternative composite materials are 5-1-2-3-4. The first place winner is pure aluminum reinforced with 0.5 wt% GNPs. VIKOR is more beneficial compared to EDAS, though the results are comparatively same. All the expressions were objective with respective to VIKOR to EDAS.
S. no | Al + wt% GNP | Si | Ri | Qi | Rank |
---|---|---|---|---|---|
1 | Pure Al | 0.96886 | 0.6176 | 1 | 5 |
2 | Pure Al + 0.5 | 0 | 0 | 0 | 1 |
3 | Pure Al + 1.0 | 0.18889 | 0.07375 | 0.15718 | 2 |
4 | Pure Al + 1.5 | 0.35922 | 0.15393 | 0.31 | 3 |
5 | Pure Al + 2.0 | 0.42335 | 0.17029 | 0.35634 | 4 |
Utility and regret measure values and rank of the alternatives.
Type | Density | % Elongation | UTS | Micro-hardness | Impact strength |
---|---|---|---|---|---|
Best Xi+ | 2.68 | 64.075 | 88.39 | 56.08 | 850 |
Worst Xi− | 2.689 | 34.924 | 65.15 | 25 | 126.58 |
Best and worst of criterion.
The EDAS and VIKOR methods were used in this research to assist in the selection of the best alternative composite material for aircraft applications. The study was performed on pure aluminum graphene nanoplatelets composites manufactured using the stir casting technique. As shown in Figure 3, decision-making using EDAS and VIKOR methodology using MATLAB R2020a shows that out of the five alternatives, alternative 2 (pure Al + 0.5 wt% GNP) is the best suitable material for fuselage construction in the aerospace industry.
Comparison of ranks.
Xi+, Xi− | ideal best and worst solutions |
SPI, SNi | positive and negative weighted sums |
NSPI, NSNi | normalized weighted sums |
ASi | appraisal score |
MADM | multi-attribute decision making |
AHP | analytical hierarchy process |
TOPSIS | Technique for Order of Preference by Similarity to Ideal Solution |
VIKOR | VIse Kriterijumska OptimizacijaKompromisno Resenje |
EDAS | Evaluation based on Distance from Average Solution |
PROMETHEE | Preference Ranking Organization Method for Enrichment Evaluation |
ELECTRE | ELimination and Choice Expressing REality |
UTS | ultimate tensile strength |
IS | impact strength |
GNPs | graphene nanoplatelets |
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