Properties of Silica Glass Material [12].
\\n\\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\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:"3278",leadTitle:null,fullTitle:"Neurodegenerative Diseases",title:"Neurodegenerative Diseases",subtitle:null,reviewType:"peer-reviewed",abstract:"This book highlights the pathophysiological complexities of the mechanisms and factors that are likely to be involved in a range of neuroinflammatory and neurodegenerative diseases including Alzheimer's disease, other Dementia, Parkinson Diseases and Multiple Sclerosis. 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Latest technological development in photonics has multiplied only due to integration of photonic platform with conception of Opto-electronic elements [1]. The Photonic Integrated Circuits (PICs) [2] have facilitated the ultrafast Artificial Neural Networks (ANN) [3], to propose a novel class of Information Processing Machines (IPM) [4]. There are number of reasons available which reveals that photonics is somewhere associated with AI. In this direction the latest example can be considered as development of Neuro-morphic [5] electronics, which shows that
This latest developed technology ‘Neuro-morphic electronics system’ [5] is integrated with most recognized technology which is known as semiconductor photonics. It is composed of third and fifth group of elements i.e. GaAs and InP [2].
Below Figure 1 represents the photonic integrated technology indicating fabrication, characteristics like growing and mixing of GaAs and InP materials to provide efficient, robust, and monolithic optoelectronic integration platform. It was developed and observed by Sandia National laboratory services.
GaAs & InP Composed Photonic Integrated Circuits [
The developmental growth of photonic crystals, components and meta-materials [6] lead to the advancement of photonics in the area of designing, modeling and technological integration. This kind of integration investigates AI with photonics. This promising domain is someway sustained by ‘photonic materials’ [7] which assist to find out and intend innovative applications of AI. It should be noted down that how photonics is contributing for the implementation of AI tools and techniques.
The contributing field of photonics towards AI includes Neuro-morphic electronic system, Optical Neural Network (ONN), Nano Photonics, meta-materials, optical sensing, optical imaging [8], optical computing, Information Processing Machines etc. These above mentioned optics emerging domains can be integrated with AI tools [9] to enhance the efficiency and performance of these systems.
Figure 2 represents the design structure of dual core silica PCF with an effective index mode of 1.4053. By changing the mode index value we can have light confinement variation which is shown below in Figure 3
Proposed dual cores PCF with different mode indexes.
(a, b) Light Confinement through proposed design for different values of Index Modes (c) Identification of infected cells with AI (d) Relative sensitivity (e) confinement loss of proposed design.
As shown below in Figure 4 indicates contribution of photonics in terms of machine intelligence with Neuro-morphic computing along with Optical neural network and optical sensing for AI technology. These latest technologies helped AI to diagnose critical disease.
Contributing field of photonics for AI (a) AI with Neuro-morphic computing (b) Optical Neural Network (c) Optical sensing and computing [
We all are witnessing an inconceivable age of drastically development in applications that necessitate expansion in AI [10]. If we are discussing about the ingenious novel outcomes that are gradually trending towards the market place and many more are preferred and expected. Fiber Optics & Photonic materials [11] are widely used for these products like new display, personalized mobile devices, novel sensors, and new information processing machining products for both storage and data processing. It is trending in very clear manner that the areas of Fiber Optics & Photonic materials are fundamental technologies for the globe. Inventing and uncovering new materials [12] in the Fiber Optics & Photonics domain will be exceedingly critical to see more and more novel outcomes to improve normal people’s lives.
Materials that have been exposed at the crucial point of life, always changes the history of human being along with the country. Materials that are used to senses, materials that are used to stores, materials that can be used as energy efficient, some translucent materials which can be folded easily and some materials that are manufacturable at low cost. New discovered materials such as doped silica materials [13], resistance changing materials and spontaneously magnetize and polarize materials have been discovered and using widely for AI integration and their applications.
In the line of discovery of new materials, the Picometer [7] can also be considered as a vibrant example in the field of atomic structures. There are numerous atomic structures available that were simulated and their data were utilized for AI analysis to identify artificially controlled ‘oxygen octahedral rotation’ (OOR) patterns as shown in below Figure 5.
Oxygen Octahedral Rotations and its characteristics [
It was used as Disorder-Driven Metal–Insulator Transition in Crystalline Vacancy-Rich Ge-Sb-Te Phase-Change Materials [7].
The discovery and development in the new materials plays an important role in the technological progress. As we have already seen that how silica has revolutionized the microelectronics industry. Materials discovery and design efforts require interplay between materials prediction, synthesis and characterization [12] have increased applications of computational tools and techniques, increased generation of material’s databases, and accelerated advances in experimental methods significantly. Some of them are composed of three special elements i.e. germanium, antimony and tellurium which is defined as Ge-Sb-Te alloy [2] and can be termed as phase-change memory materials. This alloy is selected from the group of chalcogenide glass (As2Se3) [12] which can be used in rewritable optical discs.
The above mentioned Figure 6 is used as a non-volatile quasi-continuously reprogrammable platform. This phase-change memory material rapidly changes its atomic structure from crystalline to solid amorphous when swiftly melted in presence of temperature. These kinds of materials are widely used in ‘electronic memory’ applications of AI tools such as
GST467 with AI (a) Schematic cross-section of the hybrid waveguide. (b)&(c) Fundamental quasi-transversal electric (TE) mode profiles of the hybrid waveguide at 1550 nm for (d) complex refractive index of GST and GST as a function of wavelength. (e) XRD data of GST [
CAMEO found the best Ge-Sb-Te alloy that had the largest difference in “optical contrast” [6]. GST467 also found applications in photonic switching devices that can be used to control the direction of light in given circuit. These devices can also be utilized in Neuro-morphic computing [5], which is an emerging field focusing on development of devices which imitate the formation and role of neurons in human brain. Materials science or solid-state physics is plagued by the ‘curse of dimensionality’.
When the words “artificial intelligence” (AI) comes to mind, our first thoughts may be of super-smart computers or robots that perform tasks without needing any help from humans.
A multi-institutional team of research scholars from National Institute of Standards and Technology (NIST) [6] have developed an AI algorithm known as CAMEO. It was used for the discovery of potentially applicable new photonic material without any additional preparation and efforts from the scientist. These AI systems helped to reduce the trial-and-error time which generally scientists use up in the lab. Along with this these systems maximizes the productivity and efficiency of their research work. Another research scientists team at POSTECH (Pohang University of Science and Technology) [7] got succeed in creating a novel substance that generates electricity by effect of polarization at room temperature. The variation so observed would be confirmed in crystal structure by analysis of deep neural network. The above mentioned examples revealed the techniques behind making materials used in new memory devices by using artificial intelligence. So it is very much clear that the use of modern computational techniques like AI can be used to improve the rate of discovery of these new photonics materials and vice versa. Helping scientists in reaching their outcomes more efficiently and quickly by performing only few experiments with limited resources. All these things became possible only because of integration of AI and Photonics.
The optical properties are typically calculated by using Maxwell’s Equations [13]. The desired optical response can be obtained by adjusting the initial design and performing multiple simulations until the outcome is achieved. Despite designing issues AI can help optics and nano photonics in different tasks, for example AI used to estimate the optical properties of black carbon fractal aggregates. Another example is reported where they combines finite element simulations and clustering for the identification of photonic modes [14] with large local field energies and specific spatial properties. It is shown that the combination of machine learning with photonics [15] can revolutionize one of the most important fields in optical imaging.
The silica glass is easily available and have some characteristics due to this it is preferred for designing PCF structures. Below Table 1 depicts some properties of silica glass [15].
Properties | Silica Glass |
---|---|
Density (g/cm3) | 2.2 |
Refractive Index (micrometer) | 1.458 |
Light Transmission wavelength (micrometer) | 0.18–2.5 |
Max Temperature (Degree Centigrade) | 1120 |
Poission’s Ratio | 0.17 |
Specific heat capacity (J/Kg-K) | 720 |
Speed of sound (m/s) | 180 × 103 |
Properties of Silica Glass Material [12].
Silica is the purest form of SiO2 which is easily available from the sand as a raw material. This raw silica is used to convert into Electronic Grade Silicon (EGS) from various processes. This glass has superior transmission chatcteristics in the UV (Ultra-violet) and IR (Infra-red) spectra, a very low dielectric coefficient and excellent properties where fluorescence or polarization is an issue. This silica can be shaped too many forms and sizes. It has excellent resistance to non-fluorinated acids, solvents and plasmas. The finite-difference method is the most accurately and numerically efficient method to solve Maxwell’s Equation [15] and needs less computational time.
By selection of Silica glass as a core material for designing of PCF structure, below mentioned Figure 7 depicts the cross-sectional view of proposed dual core Silica PCF with circular sensing ring. The diameter of the air hole is 1.2 μm. Here elliptical air hole is also used in the first layer and the semi major and semi minor axis for that ellipse is 1.2 and 0.8 μm respectively. The pitch value for the proposed structure is 2 μm.
Proposed Dual Core PCF with Perfectly Matched Layer (PML) Boundary.
After designing the structure of Dual Core PCF if there is a variation of index mode then due to different mode index values, there must be some variation measured in confining light through designed PCF. This variation is already mentioned in above Figure 3(a
It indicates that as index mode value varies like 1.4053, 1.4055, 1.4088, 1.41….. The variation is observed in confining the light through core of the proposed fiber.
The proposed dual core PCF for sensing various applications like blood sample detection, alcohol detection, disease detection, White Blood Cells (WBC), Red Blood Cells (RBC) detection and for many more pathological detection can be integrated with AI technology which provides optimized results to diagnose infected cells. For this purpose below mentioned setup as shown in Figure 8 is arranged. With the help of this setup the proposed dual core PCF can be utilized with AI to serve better and improved outcomes. The above mentioned Figure 3(c) represents the infected cell by using designed PCF structure integrated with AI. Relative sensitivity and confinement loss is also displayed in Figure 3(d
Experimental Setup to Obtain Outcomes.
In this setup the optical source is used to supply power to the Fiber. By using the splicing technique fiber can be connected with the proposed PCF. IN and OUT ports are used to control the unknown analytes whose refractive Index (RI) need to be identified. When analyte interacts then the variations in terms of lows and peaks occurs which can be observed and displayed using computer. The outcomes so obtained can be enhanced to provide efficient result with AI. Dual core silica PCF serve as a sensing element used to sense the selected parameter and the AI technology boost the effects of results so obtained.
With the Above mentioned proposed design the following tested have been performed using Dual core Silica PCF.
Depending upon the refractive index of blood serum, the intensity of light is modulated and detected at other end of PCF [16]. The relation between evanescent field absorbed by sensing species and intensity modulation at output end is observed.
Sensitivity is obtained by using
Where nr is the refractive index of the fluid, nc is core refractive index, rf is relative sensitivity coefficient and ‘f’ is the ratio of optical power with in large holes to the total power which is given as
Confinement loss [17, 18] is calculated by
or it can be written as
Here n
The data set of blood serum, ethanol and water for this case of investigation is selected as an input which can be passed through the setup and results so obtained have been optimized by using AI. These results obtained numerically and experimentally have been presented in above mentioned Table 2.
Parameter Tested | Refractive Index | Relative Sensitivity (%) | Confinement Loss (dB/km) |
---|---|---|---|
Ethanol | 1.33 | 56.90 | 2.37 × 10−6 |
Blood Serum | 1.39 | 46.51 | 3.814 × 10−10 |
Water | 1.32 | 53.57 | 8.063 × 10−11 |
Test Performed for various parameters.
The potency of the AI standards lies in its capacity to deal with anonymous computing troubles. It is practically identified that it is giving not only innovative or optimized solutions and forecasting, but also original substantial impending to the structure by using integration with technologies. Here we have presented an integrated discussion between AI and Photonics. The AI has been utilized to nurture tiny investigational datasets in iterative method to envisage new materials and execute multi objective optimization of properties for selected materials. Correspondingly Photonics is also offering new materials for booming realization and performing computation takes in an efficient manner to AI. The characteristics of the dual-core photonic crystal fiber (PCF) sensor are studied using the finite element method (FEM), and the structure is improved according to the numerical simulation results.
In the revolutionary field of optics and photonics, most of the work has so far been offered on purpose of photonics to the realization of AI to the intend, expansion and optimization of photonic meta-materials and various devices. AI techniques present prospects both to expand physical approaching and to investigate constraints in a more proficient manner.
Most successful paradigms of AI and photonics like Neuro-morphic electronic system, Optical Neural Network (ONN), Nano Photonics, meta-materials, optical sensing, optical imaging have also been demonstrated here in this chapter in which AI is boosting photonics and similarly photonics is also helping AI to perform efficiently. The proposed Dual core Silica PCF is used to identify infected cell in a human body. Due to easily presence of Silica glass and its vibrant characteristics it is preferred for the proposed PCF design. The refractive index of selected material is 1.458, Specific heat capacity is 720 J/Kg-K, Light Transmission wavelength is 0.18–2.5micrometer. It has been observed that the relative sensitivity for ethanol, blood serum and water is 56.90%, 46.51% and 53.57% respectively. Similarly the confinement loss for the proposed structure is 2.37 × 10−6, 3.814 × 10−10 and 8.063 × 10−11 dB/km respectively for the same parameters as mentioned above.
I would like to acknowledge each and everyone those who have helped me directly or indirectly to complete this research article. I tried to cite all the resources at my best, but if i forgot someone then kindly receive my apologies in advance.
I declare no conflict of interest for this research article.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Experimental studies of well-known mechanics with various materials already in the eighteenth century revealed numerous nonlinear effects described in the book [1]. From the standpoint of the linear theory of elasticity, many of them could not be explained, so they were called second-order effects, as not significant. However, in the middle of the twentieth century, they pushed M. Rayner [2], and a little later, V. V. Novozhilov [3], to the need to develop a theory based on a new concept of tensor-nonlinear equations [4, 5] that more accurately reflect the nonlinearity of materials. The widespread introduction of composite media and the study of their mechanical properties began at the end of the last century. In the same years, a lot of experimental works appeared to study the mechanical properties of various composites, illuminating the properties of not only reinforced materials, but also grain composites, which differ in different reactions to tension and compression. This property is possessed by media whose longitudinal modulus of elasticity and other characteristics depend on the type of stress state, determined at values of deformations close to zero. It should be called the work of Tolokonnikov L. A., Makarov E. S. [6] and many others who have devoted research to the properties of these media, in which the presence of damage to internal connections and loosening, that is, the development of dilatancy, is stated. The theories put forward by them are based on tensor-linear equations. As a rule, in them all the characteristics of different-modulus media are determined from the condition of the existence of a specific deformation potential.
In this paper, in continuation of the study [7], to take into account the noted effects, such a transformation equations was found, which made it possible to develop methods for determining the elasticity characteristics. These equations presented for the main deformations made it possible not only to describe the deformation of the shape change, the coefficients of transverse deformations along different axes, to determine the volume deformation depending on the average stress, but also the dilatancy associated with the shape change.
The development of methods was carried out based on the results of studies of grain composite [8], and in earlier works of gray cast iron, using the research of [9]. The first is a hardened mechanical mixture of a mineral filler with a polymer matrix, the test results and information about its properties are published in [8, 10, 11, 12]. These materials have not only the presence of divergence of the initial longitudinal modules under tension and compression, but also show the dependence of elastic properties on time; therefore, in this work, the test results obtained at a single strain rate are used. The nonlinearity of the diagrams of a grain composite is clearly represented by the results of testing cross-shaped samples under repeated static stretching. It has a high malleability at normal temperature. The main purpose of testing such samples was to more fully reveal the mechanism of deformation of different-modulus materials. Figure 1a shows the curve 1—the ascending branch at the first cycle of active deformation along the axis 1–1 represents the initial properties of the material. Where P is the force in H,
a—Curve 1—The ascending branch at the first cycle of active deformation on the axis 1–1, curve 2—The ascending branch of the second cycle; b—Curve 1—The ascending branch at the first cycle on the axis 2–2.
The difference between the ascending branches of the first and second stretching cycles along the 1–1 and 2–2 axes is a real one, called [3] by V. V. Novozhilov “real” anisotropy. The second cycle shows that the material has noticeably softened, the slope of the curve has decreased, but the tangential longitudinal elastic modules manifest themselves on the second part of the branch as increasing, differing from the first cycle. This emphasizes the fact that the links are divided into “short” and “long”—stronger, although in [13] a more detailed gradation of links is given, which will be superfluous for this work.
Both in [8, 12], it is noted that stretching is accompanied by a noticeable increase in volume. The same is observed with compression, although to a lesser extent. The loss of bonds and softening are the cause of the loss of elastic energy, which is taken into account by the mathematical model with a proportional increase in stresses only by the growth of additional volume deformation, as in the deformation theory, plastic shifts. For practical calculations, test diagrams of standard samples were used according to the method described in [8]. The tensile diagram for testing along the 1–1 axis, curve 1, Figure 1a, is a sequence of limit values of groups of bonds that are close in strength. The same is true for other types of loading, but to a lesser extent.
The purpose of this work is to fully reveal the possibilities tensor-nonlinear equations: transformed to a form convenient for the formulation of material functions, analysis, and processing of test results. On their basis, to develop methods for calculating all characteristics, including the coefficients of transverse deformations, elastic modulus, and compliance, as well as parameters that characterize the loosening of the structure and the change in elastic properties both with increasing load and with a change in the type of stress state.
To describe the deformation of different-modulus materials, considering them isotropic, we used tensor-nonlinear equations of the connection of the strain deviator
In the left part:
Strain intensity. In the right part:
Abandoning the constancy of the phase similarity diverters ω, which was proposed in [4], the generalized modulus G and the phase can be expressed through the coefficients of the tensor arguments:
For this we can use Eq. (1) presented for the main component of the deviator of the strain
The coefficients X and Y can be given an unambiguous physical meaning and formulas for determining them can be derived. Using three shear pliabilities
Thus, the analysis of the Eq. (1) allows, without any assumptions, to be free from uncertainty and to find an approach to the characterization of the deformation
The sum of the squares of the differences of the main values of the deformation deviator
leads to the need to calculate the relations: ∑
It leads to generalized malleability:
as a function of the angle ξ, and the inverse of the malleability to the generalized modulus of elasticity under shear:
It follows from this relation that the modulus clearly depends on the type of stress state, and it can be a constant value only in the special case, as it was envisaged in [4]. After replacing the second invariants on the stress intensity and strain intensity and replacing the sequence of main stresses:
After replacing the third invariants, the formulas for the angles take the form: the first
The exact definition of which is given below. Performing trigonometric transformations taking into account the new sequence of principal stresses, the material functions in Eq. (8) can be represented:
where they acquire values that have a physical meaning of average and standard compliance, manifesting themselves by statistical characteristics. The deviatory part of M. Rayner’s equations [2] leads to the same results of the functions
Due to the lack of proven methods, the first calculations in [8] used only the results of tensile and compression tests. Generalized compliance is determined by the relation (6), which for these states is taken by simple expressions:
Assuming the independence of these functions from the type of stress state, we find a simple way to approximate the calculation of the shear modulus and the phase similarity of deviators according to the formula (6). The form change for any stress state, although approximate, can be described. To refine it, you can use the same ratio, but for a pure shift. At the same time, difficulties arose due to the fact that the tests were usually carried out on other equipment and other means of measuring deformations, so the lack of initial data was compensated by algorithms that were derived from the same equations converted to equations for anisotropic media [8, 10].
Experimental data obtained by tensile testing and compression of grain composite [8, 11], which has the maximum deformation under compression
where
Since the material functions exhibit a statistical character, and its values correspond to the condition:
The graphs for the phase differ slightly from the half-wave of the sine wave when the angle
For phase values other than zero, the ratios of the deviator components belonging to the same stress state are not equal:
a: Test diagrams of granular composites: Curve
Solid lines represent two diagrams, after the refinement performed according to formulas (11). The dependence of
Graphs for the coefficient of variation p (dashed line), the maximum values of the similarity phase of the deviators
The rejection of the constancy of the phase gives the ratio of (6), which after the transition to the second sequence of the principal stresses is the law of deformation:
where the main characteristic becomes generalized compliance (7):
as the inverse of the generalized shift modulus of G, they are represented in a discrete (digital) form by a mathematical model, as well as material functions. After replacing the sequence of main stresses, sin3ξ in the expression (6) is transformed in the ratio (15) into
where the compliance for the second part is the value
From the ratio (15) for stretching and compression, it also follows:
where
It protects the characteristics of the shape change from errors in their calculations:
The results of calculations for two variants according to the formulas (12) and (17) showed that they differ only by the fifth significant digit after the decimal point for any loading stage. It is for checking the postulates that duplication is necessary. If there is a coefficient of variation, the calculation of material functions for any other states is significantly simplified: first,
The derivation of equality (21), as an additional part of the deformation of the form change, is proposed as an unknown formula for dilatancy, as a part of the volume deformation, consistent with the previously expressed idea that the parameter p allows the deformation, divided into two parts. This thought, the results of experimental studies and already published works allow us to propose an equation for the volumetric strain in the following form:
The first part
The process of transformation of the tensor-nonlinear equations mentioned above is covered in sufficient detail in [7 , p. 56] and probably first implemented in [10]. The equations for coupling the strain tensor to the stress tensor (8), together with the equation for average strain with average stress (18), lead to the equations for coupling the strain tensor to the stress tensor
The equations reduced to the principal deformations are used for the matrix transformation:
with the known specifications for the diagonal components:
and non-diagonal matrix components:
where
where
Pairs of coefficients
The high values of the theoretical modulus of volumetric elasticity, but low for compliance with tension, and low for compression, can be explained by a simple transformation of the ratio (18), if we isolate from it
It follows from the first that the second term reduces the flexibility for stretching, and the value of the theoretical module, on the contrary, increases as an inverse value. In the second formula, the second term increases the malleability for compression, although dilatancy is present. The second terms in these relations allow us to quantify its influence on the values of theoretical compliance. From the second formula, for compression, greater malleability is required, although dilatancy is present. The second terms in these relations allow us to quantify its influence on the values of theoretical compliance. Since the pliability of
It follows from the relations (24) and (25) that in the process of converting tensor-nonlinear equations to matrix equations, the pliabilities
V. V. Novozhilov in his work [3] expressed his opinion about this phenomenon, for the description of which the mathematical apparatus of tensor-nonlinear equations can be used, as an “important phenomenon,” without emphasizing on what characteristics it manifests itself. The studies show that the effect of dilatancy on the longitudinal elastic moduli
The change in the coefficients of transverse deformations:
The lower the values of the last points of the curve for
Figure 3b shows graphs of the dependence of transverse deformations during compression. The line shown by the dots refers to the main direction coinciding with the voltage
The deformation anisotropy is more clearly shown on the graphs for the pliability of the bulk elasticity in the direction of the main stresses. The total volume deformation is determined by the formula (22), where
which determines the directions of the axes. Give
defining them as the degree of deviation from the theoretical volumetric compliance, which is the average,
Curves of changes in the values of the parameters of the changing elasticity
The behavior of the curves for the parameters
Briefly still on the shape change, it should be noted that the initial values of shear moduli
The solution to this problem is formulated using tensor-nonlinear Equations [15]. Using the material functions of the proposed equations, finding the difference of Lode parameters,
where the former repeats the same fraction with the principal stresses by which it is determined. The problem of the researchers was to determine
A variant of the tensor-nonlinear equations, which can become the main direction in the nonlinear theory of elasticity, is proposed for wide use. This concept leads to taking into account dilatancy and strain anisotropy, about which Novozhilov V.V. prudently expressed in his work. They were used to study the properties of different-module materials and show that this mathematical apparatus is suitable not only for describing second-order smallness effects but also for describing effects associated with changes in the material structure. The influence of dilatancy on all the characteristics of form change and bulk elasticity is revealed, since its development with proportional stress growth is the main cause of deformation anisotropy, both of transverse strain coefficients and of bulk elasticity yields (or modules), which are directly related to the changing elasticity parameter, which is a quantitative estimate of these changes. In tensile and near-tensile states, its values significantly exceed unity. This can be explained by the fact that, in the first direction, dilatancy, being transverse for the other directions, causes transverse strain coefficients with values exceeding the number 0.5. The assumption of dilatancy to elastic deformations is an unavoidable step to trace the behavior of all deformations along the three directions. The exact coincidence of the total bulk strain as the sum of its components in the direction of the principal stresses, or, as the sum of linear-elastic and dilatancy, indicates recognition of the fact that the apparatus of the proposed equations may be a major trend in nonlinear elasticity theory. Whatever concepts other elasticity theories may adhere to, taking into account the real values of transverse strain coefficients in tension and compression will implicitly lead to the consideration of dilatancy and, consequently, to the difference in the values of the bulk elasticity characteristics. The next stage in the development of the nonlinear theory of elasticity is the involvement of the apparatus of thermodynamics.
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2022",editors:[{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10940",title:"Plant Hormones",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"5aae8a345f8047ed528914ff3491f643",slug:"plant-hormones-recent-advances-new-perspectives-and-applications",bookSignature:"Christophe Hano",coverURL:"https://cdn.intechopen.com/books/images_new/10940.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"313856",title:"Dr.",name:"Christophe",middleName:"F.E.",surname:"Hano",slug:"christophe-hano",fullName:"Christophe Hano"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10207",title:"Sexual 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Science",slug:"technology-material-science",parent:{id:"24",title:"Technology",slug:"technology"},numberOfBooks:7,numberOfSeries:0,numberOfAuthorsAndEditors:88,numberOfWosCitations:60,numberOfCrossrefCitations:65,numberOfDimensionsCitations:113,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"292",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"9313",title:"Clay Science and Technology",subtitle:null,isOpenForSubmission:!1,hash:"6fa7e70396ff10620e032bb6cfa6fb72",slug:"clay-science-and-technology",bookSignature:"Gustavo Morari Do Nascimento",coverURL:"https://cdn.intechopen.com/books/images_new/9313.jpg",editedByType:"Edited by",editors:[{id:"7153",title:"Prof.",name:"Gustavo",middleName:null,surname:"Morari Do Nascimento",slug:"gustavo-morari-do-nascimento",fullName:"Gustavo Morari Do Nascimento"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10045",title:"Fillers",subtitle:null,isOpenForSubmission:!1,hash:"aac44d6491e740af99bec2f62aa05883",slug:"fillers",bookSignature:"Emmanuel Flores Huicochea",coverURL:"https://cdn.intechopen.com/books/images_new/10045.jpg",editedByType:"Edited by",editors:[{id:"206705",title:"Dr.",name:"Emmanuel",middleName:null,surname:"Flores Huicochea",slug:"emmanuel-flores-huicochea",fullName:"Emmanuel Flores Huicochea"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8188",title:"Ion Beam Techniques and Applications",subtitle:null,isOpenForSubmission:!1,hash:"4f212072e7141ba20788b6fe79d28370",slug:"ion-beam-techniques-and-applications",bookSignature:"Ishaq Ahmad and Tingkai 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Shishkovsky",coverURL:"https://cdn.intechopen.com/books/images_new/6306.jpg",editedByType:"Edited by",editors:[{id:"178616",title:"Prof.",name:"Igor",middleName:"V.",surname:"Shishkovsky",slug:"igor-shishkovsky",fullName:"Igor Shishkovsky"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5759",title:"Lamination",subtitle:"Theory and Application",isOpenForSubmission:!1,hash:"9a4f81291f9d75ed83b1f4f5e0b56f36",slug:"lamination-theory-and-application",bookSignature:"Charles A. Osheku",coverURL:"https://cdn.intechopen.com/books/images_new/5759.jpg",editedByType:"Edited by",editors:[{id:"148660",title:"Dr.",name:"Charles",middleName:"Attah",surname:"Osheku",slug:"charles-osheku",fullName:"Charles Osheku"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3683",title:"Engineering the Future",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"engineering-the-future",bookSignature:"Laszlo Dudas",coverURL:"https://cdn.intechopen.com/books/images_new/3683.jpg",editedByType:"Edited by",editors:[{id:"135546",title:"Prof.",name:"Laszlo",middleName:null,surname:"Dudas",slug:"laszlo-dudas",fullName:"Laszlo Dudas"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:7,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"12376",doi:"10.5772/10380",title:"Digital Factory – Theory and Practice",slug:"digital-factory-theory-and-practice",totalDownloads:7031,totalCrossrefCites:8,totalDimensionsCites:13,abstract:null,book:{id:"3683",slug:"engineering-the-future",title:"Engineering the Future",fullTitle:"Engineering the Future"},signatures:"Milan Gregor and Stefan Medvecky",authors:null},{id:"60707",doi:"10.5772/intechopen.75832",title:"Processing Parameters for Selective Laser Sintering or Melting of Oxide Ceramics",slug:"processing-parameters-for-selective-laser-sintering-or-melting-of-oxide-ceramics",totalDownloads:2014,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"In this chapter, we present a detailed introduction to the factors which influence laser powder bed fusion (LPBF) on oxide ceramics. These factors can be in general divided in three main categories: laser-related factors (wavelength, power, scanning speed, hatch distance, scan pattern, beam diameter, etc.), powder- and material-related factors (flowability, size distribution, shape, powder deposition, thickness of deposited layers, etc.), and other factors (pre- or post-processing, inert gas atmosphere, etc.). The process parameters directly affect the amount of energy delivered to the surface of the thin layer and the energy density absorbed by the powders; therefore, decide the physical and mechanical properties of the built parts, such as relative density, porosity, surface roughness, dimensional accuracy, strength, etc. The parameter-property relation is hence reviewed for the most studied oxide ceramic materials, including families from alumina, silica, and some ceramic mixtures. Among those parameters, reducing temperature gradient which decreases the thermal stresses is one of the key factors to improve the ceramic quality. Although realizing crack-free ceramics combined with a smooth surface is still a major challenge, through optimizing the parameters, it is possible for LPBF processed ceramic parts to achieve properties close to those of conventionally produced ceramics.",book:{id:"6306",slug:"additive-manufacturing-of-high-performance-metals-and-alloys-modeling-and-optimization",title:"Additive Manufacturing of High-performance Metals and Alloys",fullTitle:"Additive Manufacturing of High-performance Metals and Alloys - Modeling and Optimization"},signatures:"Haidong Zhang and Saniya LeBlanc",authors:[{id:"213235",title:"Prof.",name:"Saniya",middleName:null,surname:"LeBlanc",slug:"saniya-leblanc",fullName:"Saniya LeBlanc"},{id:"213239",title:"Dr.",name:"Haidong",middleName:null,surname:"Zhang",slug:"haidong-zhang",fullName:"Haidong Zhang"}]},{id:"59094",doi:"10.5772/intechopen.72973",title:"Structure and Properties of the Bulk Standard Samples and Cellular Energy Absorbers",slug:"structure-and-properties-of-the-bulk-standard-samples-and-cellular-energy-absorbers",totalDownloads:717,totalCrossrefCites:3,totalDimensionsCites:9,abstract:"The development of additive technology revealed a real prospect of their use for the manufacture of complex shapes. Now, it is possible to produce parts that previously were either very difficult to produce using the subtracting technology and joining technology, or it was not at all feasible. In the manufacture of parts of complex shape, it is necessary to use a supporting structure, which is necessary to place such a way that they can be easily removed. Additionally, they must necessarily be absent in certain places. In this regard, the preparation model can take significant time to satisfy all of these, often conflicting, requirements. In this paper, we show optimization examples of the model preparation with support structures for parts manufactured at the facility EOSINT M270 and used in medicine and engineering. Additional emphasis is on the fact that, during the manufacture of parts, solidification’s modes of massive parts differ from those of the thin-walled portions of parts. The results of the complex studies on the different stainless steels (including martensitic) are described with an emphasis on their structure and mechanical properties. The results of a honeycomb energy absorbers, which are quite seldom produced by the additive technologies, are presented in this chapter.",book:{id:"6306",slug:"additive-manufacturing-of-high-performance-metals-and-alloys-modeling-and-optimization",title:"Additive Manufacturing of High-performance Metals and Alloys",fullTitle:"Additive Manufacturing of High-performance Metals and Alloys - Modeling and Optimization"},signatures:"Pavel Kuznetcov, Anton Zhukov, Artem Deev, Vitaliy Bobyr and\nMikhail Staritcyn",authors:[{id:"223064",title:"Dr.",name:"Pavel",middleName:null,surname:"Kuznetsov",slug:"pavel-kuznetsov",fullName:"Pavel Kuznetsov"},{id:"227212",title:"Mr.",name:"Artem",middleName:null,surname:"Deev",slug:"artem-deev",fullName:"Artem Deev"},{id:"227213",title:"Mr.",name:"Vitaliy",middleName:null,surname:"Bobyr",slug:"vitaliy-bobyr",fullName:"Vitaliy Bobyr"},{id:"227215",title:"Mr.",name:"Anton",middleName:null,surname:"Zhukov",slug:"anton-zhukov",fullName:"Anton Zhukov"},{id:"227216",title:"Mr.",name:"Mikhail",middleName:null,surname:"Staritcyn",slug:"mikhail-staritcyn",fullName:"Mikhail Staritcyn"}]},{id:"59742",doi:"10.5772/intechopen.74331",title:"Advanced Technologies in Manufacturing 3D-Layered Structures for Defense and Aerospace",slug:"advanced-technologies-in-manufacturing-3d-layered-structures-for-defense-and-aerospace",totalDownloads:1792,totalCrossrefCites:6,totalDimensionsCites:7,abstract:"In the past 20 years, a great progress has been made in additive manufacturing techniques, which has led to numerous applications in aeronautical and defense structures. Though not all advanced materials and alloys, can be automatically layered by a rapid prototyping system or machine, several interesting application have seen the light of publicity in many sectors. Efforts are underway to apply the automated layering technologies in as many materials as possible, mostly nowadays plastics, reinforced-polymers, and metals can be processed by such systems in order to produce three-dimensional parts. The work is underway internationally in order to promote more and more applications of additive manufacturing or automated layering and to lower the costs in such systems. This paper aims at presenting a review of the additive manufacturing history presenting the major steps that lead to the explosion of this technology, and with a special focus on advanced 3D structures in aerospace and defense applications. An insight is also given on the four dimensions of manufacturing concept.",book:{id:"5759",slug:"lamination-theory-and-application",title:"Lamination",fullTitle:"Lamination - Theory and Application"},signatures:"Dionysios E. Mouzakis",authors:[{id:"107011",title:"Associate Prof.",name:"Dionysios",middleName:"E.",surname:"Mouzakis",slug:"dionysios-mouzakis",fullName:"Dionysios Mouzakis"}]},{id:"61242",doi:"10.5772/intechopen.76860",title:"Theory and Technology of Direct Laser Deposition",slug:"theory-and-technology-of-direct-laser-deposition",totalDownloads:1242,totalCrossrefCites:5,totalDimensionsCites:7,abstract:"Presently the additive technologies in manufacturing are widely developed in all industrialized countries. Replacing the traditional technology of casting and machining with additive technologies, one can significantly reduce material consumption and labor costs. They also allow obtaining products with desired properties. The most promising for manufacturing large-sized products is the additive technology of high-speed direct laser deposition. Using this technology allows to create complex parts and construction to one technological operation without using addition equipment and tools. This technology allows decreasing of consumption of raw materials and decrease amount of waste. Equipment for realization of DLD technology is universal and based on module design principle. DLD is based on layer-by-layer deposition and melting of powder by laser beam from using a sliced 3D computer-aided design (CAD) file. The materials used are powders based on Fe, Ni, and Ti. This chapter presents the results of machine design and research HS DLD technology from various materials.",book:{id:"6306",slug:"additive-manufacturing-of-high-performance-metals-and-alloys-modeling-and-optimization",title:"Additive Manufacturing of High-performance Metals and Alloys",fullTitle:"Additive Manufacturing of High-performance Metals and Alloys - Modeling and Optimization"},signatures:"Gleb Turichin and Olga Klimova-Korsmik",authors:[{id:"212068",title:"Dr.",name:null,middleName:null,surname:"Klimova-Korsmik",slug:"klimova-korsmik",fullName:"Klimova-Korsmik"}]}],mostDownloadedChaptersLast30Days:[{id:"72209",title:"Multifunctional Clay in Pharmaceuticals",slug:"multifunctional-clay-in-pharmaceuticals",totalDownloads:778,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Clay has its widespread applications in pharmaceuticals from ancient world to modern era. It is one of the excellent excipients present in the commercially available pharmaceuticals. Its use in many of dosage forms viz. in suspension, emulsion, ointments, gels, tablet and as drug delivery carrier as suspending agent, emulsifying agent, stiffening agent, binder, diluent, opacifier, and as release retardant have been explored in many studies. Variety of minerals is used as both excipient and as an active ingredient; among that kaolinite, talc, and gypsum are important. Their inertness, low toxicity, versatile physiochemical properties and cost effectiveness has increased its usage in pharma industries. Many minerals have its own pharmacological action as antacid, anti-bacterial, anti-emetic, anti- diarrheal agent and as skin protectant etc. Their unique structure which helps them to absorb material onto their layered sheets has opened a wide variety of applications in drug delivery. The understanding of surface chemistry and particle size distribution of clay minerals has led the pharmaceutical field in many directions and future perspectives.",book:{id:"9313",slug:"clay-science-and-technology",title:"Clay Science and Technology",fullTitle:"Clay Science and Technology"},signatures:"Nandakumar Selvasudha, Unnikrishnan-Meenakshi Dhanalekshmi, Sekar Krishnaraj, Yogeeswarakannan Harish Sundar, Nagarajan Sri Durga Devi and Irisappan Sarathchandiran",authors:[{id:"317602",title:"Ph.D.",name:"Nandakumar",middleName:null,surname:"Selvasudha",slug:"nandakumar-selvasudha",fullName:"Nandakumar Selvasudha"},{id:"319654",title:"Dr.",name:"Unnikrishnan-Meenakshi",middleName:null,surname:"Dhanalekshmi",slug:"unnikrishnan-meenakshi-dhanalekshmi",fullName:"Unnikrishnan-Meenakshi Dhanalekshmi"},{id:"319655",title:"Dr.",name:"Sekar",middleName:null,surname:"Krishnaraj",slug:"sekar-krishnaraj",fullName:"Sekar Krishnaraj"},{id:"319656",title:"Mr.",name:"Yogeeswarakannan Harish",middleName:null,surname:"Sundar",slug:"yogeeswarakannan-harish-sundar",fullName:"Yogeeswarakannan Harish Sundar"},{id:"319657",title:"Mrs.",name:"Nagarajan Sri",middleName:null,surname:"Sridurga Devi",slug:"nagarajan-sri-sridurga-devi",fullName:"Nagarajan Sri Sridurga Devi"},{id:"319658",title:"Dr.",name:"Irisappan",middleName:null,surname:"Sarathchandiran",slug:"irisappan-sarathchandiran",fullName:"Irisappan Sarathchandiran"}]},{id:"72560",title:"Limestone Clays for Ceramic Industry",slug:"limestone-clays-for-ceramic-industry",totalDownloads:630,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Limestone clays are used in the ceramic segment in the manufacture of bricks, ceramic tiles, and in the production of cement, among others. Limestone can be present in soils in pure form or as a contaminant, but always from marine environments. The limestone after burning can present a high loss of mass (35–45%), which can cause serious problems with the sintering of ceramic products such as bricks, tiles. The calcium or magnesium carbonate once dissociated forms calcium oxide (CaO) and releases carbon dioxide (CO2). CaO in contact with water subsequently experiences very high expansions that can cause cracks in the materials. Researchers have studied procedures to inhibit limestone action on clays as well as to set the correct temperature for firing. In this chapter, examples of clays with different percentages of calcium carbonate (CaCO3) that are used in the ceramic segment and their characteristics will be given.",book:{id:"9313",slug:"clay-science-and-technology",title:"Clay Science and Technology",fullTitle:"Clay Science and Technology"},signatures:"Herbet Alves de Oliveira and Cochiran Pereira dos Santos",authors:[{id:"316552",title:"Dr.",name:"Herbet",middleName:null,surname:"Alves de Oliveira",slug:"herbet-alves-de-oliveira",fullName:"Herbet Alves de Oliveira"},{id:"320536",title:"Dr.",name:"Cochiran",middleName:null,surname:"Pereira dos Santos",slug:"cochiran-pereira-dos-santos",fullName:"Cochiran Pereira dos Santos"}]},{id:"60707",title:"Processing Parameters for Selective Laser Sintering or Melting of Oxide Ceramics",slug:"processing-parameters-for-selective-laser-sintering-or-melting-of-oxide-ceramics",totalDownloads:2018,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"In this chapter, we present a detailed introduction to the factors which influence laser powder bed fusion (LPBF) on oxide ceramics. These factors can be in general divided in three main categories: laser-related factors (wavelength, power, scanning speed, hatch distance, scan pattern, beam diameter, etc.), powder- and material-related factors (flowability, size distribution, shape, powder deposition, thickness of deposited layers, etc.), and other factors (pre- or post-processing, inert gas atmosphere, etc.). The process parameters directly affect the amount of energy delivered to the surface of the thin layer and the energy density absorbed by the powders; therefore, decide the physical and mechanical properties of the built parts, such as relative density, porosity, surface roughness, dimensional accuracy, strength, etc. The parameter-property relation is hence reviewed for the most studied oxide ceramic materials, including families from alumina, silica, and some ceramic mixtures. Among those parameters, reducing temperature gradient which decreases the thermal stresses is one of the key factors to improve the ceramic quality. Although realizing crack-free ceramics combined with a smooth surface is still a major challenge, through optimizing the parameters, it is possible for LPBF processed ceramic parts to achieve properties close to those of conventionally produced ceramics.",book:{id:"6306",slug:"additive-manufacturing-of-high-performance-metals-and-alloys-modeling-and-optimization",title:"Additive Manufacturing of High-performance Metals and Alloys",fullTitle:"Additive Manufacturing of High-performance Metals and Alloys - Modeling and Optimization"},signatures:"Haidong Zhang and Saniya LeBlanc",authors:[{id:"213235",title:"Prof.",name:"Saniya",middleName:null,surname:"LeBlanc",slug:"saniya-leblanc",fullName:"Saniya LeBlanc"},{id:"213239",title:"Dr.",name:"Haidong",middleName:null,surname:"Zhang",slug:"haidong-zhang",fullName:"Haidong Zhang"}]},{id:"60683",title:"MPFEM Modeling on the Compaction of Al/SiC Composite Powders with Core/Shell Structure",slug:"mpfem-modeling-on-the-compaction-of-al-sic-composite-powders-with-core-shell-structure",totalDownloads:933,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Uniaxial die compaction of two-dimensional (2D) Al/SiC core/shell (core: SiC; shell: Al) composite powders with different initial packing structures was numerically reproduced using DEM-FEM coupled MPFEM modeling from particulate scale. The effects of external pressure, initial packing structure, and SiC content on the packing densification were systematically presented. Various macro and micro properties such as relative density and distribution, stress and distribution, particle rearrangement (e.g. sliding and rolling), deformation and mass transfer, and interfacial behavior within composite particles were characterized and analyzed. The results show that by properly controlling the initial packing structure, pressure, and SiC content, various anisotropic and isotropic Al/SiC particulate composites with high relative densities and uniform density/stress distributions can be obtained. At early stage of the compaction, the densification mechanism mainly lies in the particle rearrangement driven by the low interparticle forces. In addition to sliding, accompanied particle rolling also plays an important role. With the increase of the compaction pressure, the force network based on SiC cores leads to extrusion on Al shells between two cores, contributing to mass transfer and pore filling. During compaction, the debonding between the core and shell of each composite particle appears and then disappears gradually in the final compact.",book:{id:"6737",slug:"powder-technology",title:"Powder Technology",fullTitle:"Powder Technology"},signatures:"Xizhong An, Yu Liu, Fen Huang and Qian Jia",authors:[{id:"114055",title:"Prof.",name:"Xizhong",middleName:null,surname:"An",slug:"xizhong-an",fullName:"Xizhong An"},{id:"237739",title:"Mr.",name:"Yu",middleName:null,surname:"Liu",slug:"yu-liu",fullName:"Yu Liu"},{id:"237740",title:"Ms.",name:"Fen",middleName:null,surname:"Huang",slug:"fen-huang",fullName:"Fen Huang"},{id:"242885",title:"Ms.",name:"Qian",middleName:null,surname:"Jia",slug:"qian-jia",fullName:"Qian Jia"}]},{id:"56537",title:"Multiscale Hierarchical Structure and Laminated Strengthening and Toughening Mechanisms",slug:"multiscale-hierarchical-structure-and-laminated-strengthening-and-toughening-mechanisms",totalDownloads:1466,totalCrossrefCites:3,totalDimensionsCites:3,abstract:"Metal matrix composites with multiscale hierarchical structure and laminated structure have been developed to provide a novel route to achieve high strength, toughness and ductility. In this chapter, a lot of scientific research has been carried out in the preparation, processing, properties and application of metal matrix composite. Many toughening mechanisms and fracture behavior of composites with multiscale hierarchical structure and laminated structure are overviewed. It is revealed that elastic property and yield strength of laminated composites follow the “rule of average.” However, the estimation of fracture elongation and fracture toughness is complex, which is inconsistent with the “rule of average.” The fracture elongation of laminated composites is related to the layer thickness size, interface, gradient structure, strain hardening exponent, strain rate parameter and tunnel crack, which are accompanied with crack deflection, crack blunting, crack bridging, stress redistribution, local stress deformation, interfacial delamination crack and so on. The concept of laminated composites can be extended by applying different combination of individual layer, and provides theoretical as well as experimental fundamentals on strengthening and toughening of metal matrix composites.",book:{id:"5759",slug:"lamination-theory-and-application",title:"Lamination",fullTitle:"Lamination - Theory and Application"},signatures:"Baoxi Liu, Lujun Huang, Lin Geng and Fuxing Yin",authors:[{id:"140305",title:"Dr.",name:"Lin",middleName:null,surname:"Geng",slug:"lin-geng",fullName:"Lin Geng"},{id:"197727",title:"Dr.",name:"Baoxi",middleName:null,surname:"Liu",slug:"baoxi-liu",fullName:"Baoxi Liu"},{id:"197732",title:"Prof.",name:"Lujun",middleName:null,surname:"Huang",slug:"lujun-huang",fullName:"Lujun Huang"},{id:"207654",title:"Prof.",name:"Fuxing",middleName:null,surname:"Yin",slug:"fuxing-yin",fullName:"Fuxing Yin"}]}],onlineFirstChaptersFilter:{topicId:"292",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],testimonialsList:[]},series:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems.
\r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.