Computational Methods for Microstructure-Property Relationships
Computational Methods for Microstructure-Property Relationships

Author: Somnath Ghosh

Publisher: Springer Science & Business Media

Published: 2010-11-17

Total Pages: 669

ISBN-13: 1441906436

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Computational Methods for Microstructure-Property Relationships introduces state-of-the-art advances in computational modeling approaches for materials structure-property relations. Written with an approach that recognizes the necessity of the engineering computational mechanics framework, this volume provides balanced treatment of heterogeneous materials structures within the microstructural and component scales. Encompassing both computational mechanics and computational materials science disciplines, this volume offers an analysis of the current techniques and selected topics important to industry researchers, such as deformation, creep and fatigue of primarily metallic materials. Researchers, engineers and professionals involved with predicting performance and failure of materials will find Computational Methods for Microstructure-Property Relationships a valuable reference.

Microstructure-Property Optimization in Metallic Glasses
Microstructure-Property Optimization in Metallic Glasses

Author: Baran Sarac

Publisher: Springer

Published: 2015-03-12

Total Pages: 100

ISBN-13: 3319130331

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This thesis consists of an in-depth study of investigating microstructure-property relationships in bulk metallic glasses using a novel quantitative approach by which influence of the second phase features on mechanical properties can be independently and systematically analyzed. The author evaluates and optimizes the elastic and plastic deformation, as well as the overall toughness of cellular honeycombs under in-plane compression and porous heterostructures under uniaxial tension. The study reveals three major deformation zones in cellular metallic glass structures, where deformation changes from collective buckling showing non-linear elasticity to localized failure exhibiting a brittle-like deformation, and finally to global sudden failure with negligible plasticity as the length to thickness ratio of the ligaments increases. The author found that spacing and size of the pores, the pore configuration within the matrix, and the overall width of the sample determines the extent of deformation, where the optimized values are attained for pore diameter to spacing ratio of one with AB type pore stacking.

Computational Materials System Design
Computational Materials System Design

Author: Dongwon Shin

Publisher: Springer

Published: 2017-11-10

Total Pages: 239

ISBN-13: 3319682806

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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.

Materials with Internal Structure
Materials with Internal Structure

Author: Patrizia Trovalusci

Publisher: Springer

Published: 2015-10-17

Total Pages: 135

ISBN-13: 3319214942

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The book presents a series of concise papers by researchers specialized in various fields of continuum and computational mechanics and of material science. The focus is on principles and strategies for multiscale modeling and simulation of complex heterogeneous materials, with periodic or random microstructure, subjected to various types of mechanical, thermal, chemical loadings and environmental effects. A wide overview of complex behavior of materials (plasticity, damage, fracture, growth, etc.) is provided. Among various approaches, attention is given to advanced non-classical continua modeling which, provided by constitutive characterization for the internal and external actions (in particular boundary conditions), is a very powerful frame for the gross mechanical description of complex material behaviors, able to circumvent the restrictions of classical coarse–graining multiscale approaches.

Integrated Computational Materials Engineering (ICME)
Integrated Computational Materials Engineering (ICME)

Author: Somnath Ghosh

Publisher: Springer Nature

Published: 2020-03-20

Total Pages: 416

ISBN-13: 3030405621

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​This book introduces research advances in Integrated Computational Materials Engineering (ICME) that have taken place under the aegis of the AFOSR/AFRL sponsored Center of Excellence on Integrated Materials Modeling (CEIMM) at Johns Hopkins University. Its author team consists of leading researchers in ICME from prominent academic institutions and the Air Force Research Laboratory. The book examines state-of-the-art advances in physics-based, multi-scale, computational-experimental methods and models for structural materials like polymer-matrix composites and metallic alloys. The book emphasizes Ni-based superalloys and epoxy matrix carbon-fiber composites and encompasses atomistic scales, meso-scales of coarse-grained models and discrete dislocations, and micro-scales of poly-phase and polycrystalline microstructures. Other critical phenomena investigated include the relationship between microstructural morphology, crystallography, and mechanisms to the material response at different scales; methods of identifying representative volume elements using microstructure and material characterization, and robust deterministic and probabilistic modeling of deformation and damage. Encompassing a slate of topics that enable readers to comprehend and approach ICME-related issues involved in predicting material performance and failure, the book is ideal for mechanical, civil, and aerospace engineers, and materials scientists, in in academic, government, and industrial laboratories.

Uncertainty Quantification in Multiscale Materials Modeling
Uncertainty Quantification in Multiscale Materials Modeling

Author: Yan Wang

Publisher: Woodhead Publishing

Published: 2020-03-12

Total Pages: 604

ISBN-13: 0081029411

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Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.

Proceedings of the 1st World Congress on Integrated Computational Materials Engineering (ICME)
Proceedings of the 1st World Congress on Integrated Computational Materials Engineering (ICME)

Author: The Minerals, Metals & Materials Society (TMS)

Publisher: John Wiley & Sons

Published: 2011-06-15

Total Pages: 272

ISBN-13: 1118147715

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In its most advanced form, Integrated Computational Materials Engineering (ICME) holistically integrates manufacturing simulation, advanced materials models and component performance analysis. This volume contains thirty-five papers presented at the 1st World Congress on Integrated Computational Materials Engineering. Modeling processing-microstructure relationships, modeling microstructure-property relationships, and the role of ICME in graduate and undergraduate education are discussed. Ideal as a primary text for engineering students, this book motivates a wider understanding of the advantages and limitations offered by the various computational (and coordinated experimental) tools of this field.

Statistical Methods for Materials Science
Statistical Methods for Materials Science

Author: Jeffrey P. Simmons

Publisher: CRC Press

Published: 2019-02-13

Total Pages: 537

ISBN-13: 1498738214

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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.

Homogenization of the Linear and Non-linear Mechanical Behavior of Polycrystals
Homogenization of the Linear and Non-linear Mechanical Behavior of Polycrystals

Author: Katja Jöchen

Publisher: KIT Scientific Publishing

Published: 2014-05-13

Total Pages: 216

ISBN-13: 3866449712

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This work is dedicated to the numerically efficient simulation of the material response of polycrystalline aggregates. Therefore, crystal plasticity is combined with a new non-linear homogenization scheme, which is based on piecewise constant stress polarizations with respect to a homogeneous reference medium and corresponds to a generalization of the Hashin-Shtrikman scheme. This mean field approach accounts for the one- and two-point statistics of the microstructure.

Additive Manufacturing of High-Performance Metallic Materials
Additive Manufacturing of High-Performance Metallic Materials

Author: Robert Pederson

Publisher: Elsevier

Published: 2023-09-19

Total Pages: 580

ISBN-13: 0323913822

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Additive Manufacturing of High-Performance Metallic Materials outlines the state-of-the-art on AM in high performance materials utilizing the two most industrially interesting routes of powder bed fusion (PBF) and directed energy deposition (DED). The book delves into Feedstock, Processing, Monitoring and control, Modeling and simulation, and Surface and thermal post-treatments. It specifically addresses materials and the most relevant and high performance applications, namely Ni-based alloys and Titanium alloys, and also provides insights into potential applications through illustrative case studies. With each chapter contributed by experts in the field, this work will serve as a comprehensive resource for graduate students and practitioners alike. - Covers the entire value chain relevant to additive manufacturing spanning feedstock, processing, monitoring, post-treatment, testing and applications - Includes the fundamental understanding of varied associated aspects derived from both extensive experimental knowledge and theoretical investigations - Addresses key materials relevant to varied high performance applications, namely Superalloys and Ni-based alloys