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Microstructure Sensitive Design for Performance Optimization

Microstructure Sensitive Design for Performance Optimization
A Book

by Brent L. Adams,Surya R. Kalidindi,David T. Fullwood

  • Publisher : Butterworth-Heinemann
  • Release : 2012-12-31
  • Pages : 424
  • ISBN : 0123972922
  • Language : En, Es, Fr & De
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The accelerating rate at which new materials are appearing, and transforming the engineering world, only serves to emphasize the vast potential for novel material structure and related performance. Microstructure Sensitive Design for Performance Optimization (MSDPO) embodies a new methodology for systematic design of material microstructure to meet the requirements of design in optimal ways. Intended for materials engineers and researchers in industry, government and academia as well as upper level undergraduate and graduate students studying material science and engineering, MSDPO provides a novel mathematical framework that facilitates a rigorous consideration of the material microstructure as a continuous design variable in the field of engineering design. Presents new methods and techniques for analysis and optimum design of materials at the microstructure level Authors' methodology introduces spectral approaches not available in previous texts, such as the incorporation of crystallographic orientation as a variable in the design of engineered components with targeted elastic properties Numerous illustrations and examples throughout the text help readers grasp the concepts

Microstructure-sensitive Design for Performance Optimization

Microstructure-sensitive Design for Performance Optimization
A Book

by Brent L. Adams,Surya Kalidindi,David T. Fullwood

  • Publisher : Butterworth-Heinemann
  • Release : 2013
  • Pages : 410
  • ISBN : 0123969891
  • Language : En, Es, Fr & De
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The accelerating rate at which new materials are appearing, and transforming the engineering world, only serves to emphasize the vast potential for novel material structure and related performance. Microstructure Sensitive Design for Performance Optimization (MSDPO) embodies a new methodology for systematic design of material microstructure to meet the requirements of design in optimal ways. Intended for materials engineers and researchers in industry, government and academia as well as upper level undergraduate and graduate students studying material science and engineering, MSDPO provides a novel mathematical framework that facilitates a rigorous consideration of the material microstructure as a continuous design variable in the field of engineering design. Presents new methods and techniques for analysis and optimum design of materials at the microstructure level. Authors' methodology introduces spectral approaches not available in previous texts, such as the incorporation of crystallographic orientation as a variable in the design of engineered components with targeted elastic properties. Numerous illustrations and examples throughout the text help readers grasp the concepts.

Hierarchical Materials Informatics

Hierarchical Materials Informatics
Novel Analytics for Materials Data

by Surya R. Kalidindi

  • Publisher : Elsevier
  • Release : 2015-08-06
  • Pages : 230
  • ISBN : 012410455X
  • Language : En, Es, Fr & De
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Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies. Addresses a critical gap in new materials research and development by presenting a rigorous statistical framework for the quantification of microstructure Contains several case studies illustrating the use of modern data analytic tools on microstructure datasets (both experimental and modeling)

Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME)

Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME)
A Book

by Warren Poole,Steve Christensen,Surya Kalidindi,Alan Luo,Jonathan Madison,Dierk Raabe,Xin Sun

  • Publisher : Springer
  • Release : 2016-12-05
  • Pages : 373
  • ISBN : 3319481703
  • Language : En, Es, Fr & De
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This book presents a collection of papers presented at the 3rd World Congress on Integrated Computational Materials Engineering (ICME), a specialty conference organized by The Minerals, Metals & Materials Society (TMS). This meeting convened ICME stakeholders to examine topics relevant to the global advancement of ICME as an engineering discipline. The papers presented in these proceedings are divided into six sections: (1) ICME Applications; (2) ICME Building Blocks; (3) ICME Success Stories and Applications (4) Integration of ICME Building Blocks: Multi-scale Modeling; (5) Modeling, Data and Infrastructure Tools, and (6) Process Optimization. . These papers are intended to further the global implementation of ICME, broaden the variety of applications to which ICME is applied, and ultimately help industry design and produce new materials more efficiently and effectively.

Engineering Optimization 2014

Engineering Optimization 2014
A Book

by Hélder Rodrigues,José Herskovits,Christóvão Mota Soares,José Miranda Guedes,Aurelio Araujo,João Folgado,Filipa Moleiro,José Aguilar Madeira

  • Publisher : CRC Press
  • Release : 2014-09-26
  • Pages : 18
  • ISBN : 1138027251
  • Language : En, Es, Fr & De
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Modern engineering processes and tasks are highly complex, multi- and interdisciplinary, requiring the cooperative effort of different specialists from engineering, mathematics, computer science and even social sciences. Optimization methodologies are fundamental instruments to tackle this complexity, giving the possibility to unite synergistically team members’ inputs and thus decisively contribute to solving new engineering technological challenges. With this context in mind, the main goal of Engineering Optimization 2014 is to unite engineers, applied mathematicians, computer and other applied scientists working on research, development and practical application of optimization methods applied to all engineering disciplines, in a common scientific forum to present, analyze and discuss the latest developments in this area. Engineering Optimization 2014 contains the edited papers presented at the 4th International Conference on Engineering Optimization (ENGOPT2014, Lisbon, Portugal, 8-11 September 2014). ENGOPT2014 is the fourth edition of the biennial “International Conference on Engineering Optimization”. The first conference took place in 2008 in Rio de Janeiro, the second in Lisbon in 2010 and the third in Rio de Janeiro in 2012. The contributing papers are organized around the following major themes: - Numerical Optimization Techniques - Design Optimization and Inverse Problems - Effi cient Analysis and Reanalysis Techniques - Sensitivity Analysis - Industrial Applications - Topology Optimization For Structural Static and Dynamic Failures - Optimization in Oil and Gas Industries - New Advances in Derivative-Free Optimization Methods for Engineering Optimization - Optimization Methods in Biomechanics and Biomedical Engineering - Optimization of Laminated Composite Materials - Inverse Problems in Engineering Engineering Optimization 2014 will be of great interest to engineers and academics in engineering, mathematics and computer science.

Metallurgy and Design of Alloys with Hierarchical Microstructures

Metallurgy and Design of Alloys with Hierarchical Microstructures
A Book

by Krishnan K. Sankaran,Rajiv S. Mishra

  • Publisher : Elsevier
  • Release : 2017-06-14
  • Pages : 506
  • ISBN : 0128120258
  • Language : En, Es, Fr & De
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Metallurgy and Design of Alloys with Hierarchical Microstructures covers the fundamentals of processing-microstructure-property relationships and how multiple properties are balanced and optimized in materials with hierarchical microstructures widely used in critical applications. The discussion is based principally on metallic materials used in aircraft structures; however, because they have sufficiently diverse microstructures, the underlying principles can easily be extended to other materials systems. With the increasing microstructural complexity of structural materials, it is important for students, academic researchers and practicing engineers to possess the knowledge of how materials are optimized and how they will behave in service. The book integrates aspects of computational materials science, physical metallurgy, alloy design, process design, and structure-properties relationships, in a manner not done before. It fills a knowledge gap in the interrelationships of multiple microstructural and deformation mechanisms by applying the concepts and tools of designing microstructures for achieving combinations of engineering properties—such as strength, corrosion resistance, durability and damage tolerance in multi-component materials—used for critical structural applications. Discusses the science behind the properties and performance of advanced metallic materials Provides for the efficient design of materials and processes to satisfy targeted performance in materials and structures Enables the selection and development of new alloys for specific applications based upon evaluation of their microstructure as illustrated in this work

Computational Materials System Design

Computational Materials System Design
A Book

by Dongwon Shin,James Saal

  • Publisher : Springer
  • Release : 2017-11-10
  • Pages : 233
  • ISBN : 3319682806
  • Language : En, Es, Fr & De
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This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.

Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior

Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior
A Book

by Lobos Fernández, Mauricio

  • Publisher : KIT Scientific Publishing
  • Release : 2018-07-09
  • Pages : 224
  • ISBN : 3731507706
  • Language : En, Es, Fr & De
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Integrated Design of Multiscale, Multifunctional Materials and Products

Integrated Design of Multiscale, Multifunctional Materials and Products
A Book

by David L. McDowell,Jitesh Panchal,Hae-Jin Choi,Carolyn Seepersad,Janet Allen,Farrokh Mistree

  • Publisher : Butterworth-Heinemann
  • Release : 2009-09-30
  • Pages : 392
  • ISBN : 9780080952208
  • Language : En, Es, Fr & De
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Integrated Design of Multiscale, Multifunctional Materials and Products is the first of its type to consider not only design of materials, but concurrent design of materials and products. In other words, materials are not just selected on the basis of properties, but the composition and/or microstructure iw designed to satisfy specific ranged sets of performance requirements. This book presents the motivation for pursuing concurrent design of materials and products, thoroughly discussing the details of multiscale modeling and multilevel robust design and provides details of the design methods/strategies along with selected examples of designing material attributes for specified system performance. It is intended as a monograph to serve as a foundational reference for instructors of courses at the senior and introductory graduate level in departments of materials science and engineering, mechanical engineering, aerospace engineering and civil engineering who are interested in next generation systems-based design of materials. First of its kind to consider not only design of materials, but concurrent design of materials and products Treatment of uncertainty via robust design of materials Integrates the "materials by design approach" of Olson/Ques Tek LLC with the "materials selection" approach of Ashby/Granta Distinquishes the processes of concurrent design of materials and products as an overall systems design problem from the field of multiscale modeling Systematic mathematical algorithms and methods are introduced for robust design of materials, rather than ad hoc heuristics--it is oriented towards a true systems approach to design of materials and products

Multiscale Structural Topology Optimization

Multiscale Structural Topology Optimization
A Book

by Liang Xia

  • Publisher : Elsevier
  • Release : 2016-04-27
  • Pages : 184
  • ISBN : 0081011865
  • Language : En, Es, Fr & De
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Multiscale Structural Topology Optimization discusses the development of a multiscale design framework for topology optimization of multiscale nonlinear structures. With the intention to alleviate the heavy computational burden of the design framework, the authors present a POD-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design of multiscale elastoviscoplastic structures. Various optimization methods for structural size, shape, and topology designs have been developed and widely employed in engineering applications. Topology optimization has been recognized as one of the most effective tools for least weight and performance design, especially in aeronautics and aerospace engineering. This book focuses on the simultaneous design of both macroscopic structure and microscopic materials. In this model, the material microstructures are optimized in response to the macroscopic solution, which results in the nonlinearity of the equilibrium problem of the interface of the two scales. The authors include a reduce database model from a set of numerical experiments in the space of effective strain. Presents the first attempts towards topology optimization design of nonlinear highly heterogeneous structures Helps with simultaneous design of the topologies of both macroscopic structure and microscopic materials Helps with development of computer codes for the designs of nonlinear structures and of materials with extreme constitutive properties Focuses on the simultaneous design of both macroscopic structure and microscopic materials Includes a reduce database model from a set of numerical experiments in the space of effective strain

Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes

Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes
A Book

by Anand Balu Nellippallil,Janet K. Allen,B. P. Gautham,Amarendra K. Singh,Farrokh Mistree

  • Publisher : Springer Nature
  • Release : 2020-06-13
  • Pages : 344
  • ISBN : 3030453243
  • Language : En, Es, Fr & De
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This book explores systems-based, co-design, introducing a “Decision-Based, Co-Design” (DBCD) approach for the co-design of materials, products, and processes. In recent years there have been significant advances in modeling and simulation of material behavior, from the smallest atomic scale to the macro scale. However, the uncertainties associated with these approaches and models across different scales need to be addressed to enable decision-making resulting in designs that are robust, that is, relatively insensitive to uncertainties. An approach that facilitates co-design is needed across material, product design and manufacturing processes. This book describes a cloud-based platform to support decisions in the design of engineered systems (CB-PDSIDES), which feature an architecture that promotes co-design through the servitization of decision-making, knowledge capture and use templates that allow previous solutions to be reused. Placing the platform in the cloud aids mass collaboration and open innovation. A valuable reference resource reference on all areas related to the design of materials, products and processes, the book appeals to material scientists, design engineers and all those involved in the emerging interdisciplinary field of integrated computational materials engineering (ICME).

Statistical Methods for Materials Science

Statistical Methods for Materials Science
The Data Science of Microstructure Characterization

by Jeffrey P. Simmons,Lawrence F. Drummy,Charles A. Bouman,Marc De Graef

  • Publisher : CRC Press
  • Release : 2019-02-13
  • Pages : 514
  • ISBN : 1351647385
  • Language : En, Es, Fr & De
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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.

Information Science for Materials Discovery and Design

Information Science for Materials Discovery and Design
A Book

by Turab Lookman,Francis J. Alexander,Krishna Rajan

  • Publisher : Springer
  • Release : 2015-12-12
  • Pages : 307
  • ISBN : 331923871X
  • Language : En, Es, Fr & De
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This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a “fourth leg’’ to our toolkit to make the “Materials Genome'' a reality, the science of Materials Informatics.

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)
A Book

by Anonim

  • Publisher : World Scientific
  • Release : 2020-03-10
  • Pages : 1000
  • ISBN : 9811204586
  • Language : En, Es, Fr & De
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This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Handbook of Software Solutions for ICME

Handbook of Software Solutions for ICME
A Book

by Georg J. Schmitz,Ulrich Prahl

  • Publisher : John Wiley & Sons
  • Release : 2016-12-19
  • Pages : 632
  • ISBN : 3527339027
  • Language : En, Es, Fr & De
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As one of the results of an ambitious project, this handbook provides a well-structured directory of globally available software tools in the area of Integrated Computational Materials Engineering (ICME). The compilation covers models, software tools, and numerical methods allowing describing electronic, atomistic, and mesoscopic phenomena, which in their combination determine the microstructure and the properties of materials. It reaches out to simulations of component manufacture comprising primary shaping, forming, joining, coating, heat treatment, and machining processes. Models and tools addressing the in-service behavior like fatigue, corrosion, and eventually recycling complete the compilation. An introductory overview is provided for each of these different modelling areas highlighting the relevant phenomena and also discussing the current state for the different simulation approaches. A must-have for researchers, application engineers, and simulation software providers seeking a holistic overview about the current state of the art in a huge variety of modelling topics. This handbook equally serves as a reference manual for academic and commercial software developers and providers, for industrial users of simulation software, and for decision makers seeking to optimize their production by simulations. In view of its sound introductions into the different fields of materials physics, materials chemistry, materials engineering and materials processing it also serves as a tutorial for students in the emerging discipline of ICME, which requires a broad view on things and at least a basic education in adjacent fields.

Advanced Metrology

Advanced Metrology
Freeform Surfaces

by X. Jane Jiang,Paul J. Scott

  • Publisher : Academic Press
  • Release : 2020-04-08
  • Pages : 374
  • ISBN : 0128218169
  • Language : En, Es, Fr & De
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Advanced Metrology: Freeform Surfaces provides the perfect guide for engineering designers and manufacturers interested in exploring the benefits of this technology. The inclusion of industrial case studies and examples will help readers to implement these techniques which are being developed across different industries as they offer improvements to the functional performance of products and reduce weight and cost. Includes case studies in every chapter to help readers implement the techniques discussed Provides unique advice from industry on hot subjects, including surface description and data processing Features links to online content, including video, code and software

In-situ Mechanics of Materials

In-situ Mechanics of Materials
Principles,Tools, Techniques and Applications

by Pranjal Nautiyal,Benjamin Boesl,Arvind Agarwal

  • Publisher : Springer Nature
  • Release : 2020-07-18
  • Pages : 259
  • ISBN : 303043320X
  • Language : En, Es, Fr & De
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This is the first comprehensive book to address in-situ mechanics approach, which relies on real-time imaging during mechanical measurements of materials. The book presents tools, techniques and methods to interrogate the deformation characteristics of a wide array of material classes, and how the mechanics and the material microstructures are correlated. In-situ approach provides unprecedented ability to decipher the mechanical behavior of materials from atomic length scales all the way up to bulk-scale, which is not possible using conventional means. The book also addresses how to capture the deformation behavior of materials under different stress-states and extreme environments. The book will be useful to the new generation of students, scientists and researchers working on the frontiers of material design and innovation as they aim to develop new materials with predictable mechanical properties and technological applications. This book can also serve as a textbook aimed at upper-level undergraduates and graduate-level students who are beginning to delve into the mechanics of materials. Catering to a generation of students that appreciates videos as a didactic tool, this book contains numerous videos to supplement problems, solutions, and case studies.

Machine Learning and Data Mining in Materials Science

Machine Learning and Data Mining in Materials Science
A Book

by Norbert Huber,Surya R. Kalidindi,Benjamin Klusemann,Christian Johannes Cyron

  • Publisher : Frontiers Media SA
  • Release : 2020-04-22
  • Pages : 129
  • ISBN : 2889636518
  • Language : En, Es, Fr & De
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Proceedings of the 1st International Conference on Numerical Modelling in Engineering

Proceedings of the 1st International Conference on Numerical Modelling in Engineering
Volume 2: Numerical Modelling in Mechanical and Materials Engineering, NME 2018, 28-29 August 2018, Ghent University, Belgium

by Magd Abdel Wahab

  • Publisher : Springer
  • Release : 2018-08-28
  • Pages : 418
  • ISBN : 9811322732
  • Language : En, Es, Fr & De
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This book gathers outstanding papers on numerical modeling in Mechanical Engineering (Volume 2) as part of the proceedings of the 1st International Conference on Numerical Modeling in Engineering (NME 2018), which was held in Ghent, Belgium. The overall objective of the conference was to bring together international scientists and engineers in academia and industry from fields related to advanced numerical techniques, such as the finite element method (FEM), boundary element method (BEM), isogeometric analysis (IGA), etc., and their applications to a wide range of engineering disciplines. This book addresses various industrial engineering applications of numerical simulations to Mechanical and Materials Engineering, including: Aerospace applications, Acoustic analysis, Biomechanical applications, Contact problems and wear, Heat transfer analysis, Vibration and dynamics, Transient analysis, Nonlinear analysis, Composite materials, Polymers, Metal alloys, Fracture mechanics, Fatigue of materials, Creep behavior, Phase transformation, and Crystal plasticity.

Advances in Solid Oxide Fuel Cells IV

Advances in Solid Oxide Fuel Cells IV
A Book

by Prabhakar Singh,Narottam P. Bansal

  • Publisher : John Wiley & Sons
  • Release : 2009-02-11
  • Pages : 279
  • ISBN : 9780470456293
  • Language : En, Es, Fr & De
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This volume provides a one-stop resource, compiling current research on solid oxide fuel cells. It is a collection of papers from The American Ceramic Society s 32nd International Conference on Advanced Ceramics and Composites, January 27-February 1, 2008. Topics include recent technical progress on materials-related aspects of fuel cells and emerging trends in electrochemical materials, cell/stack fabrication and design, interface engineering, and long-term chemical interactions. This is a valuable, up-to-date resource for researchers in industry, government, or academia who are working with solid oxide fuel cells.