Overview
- Presents data acquisition, characterization, and image-based virtual models across multiple scales
- Adopts a physics-based approach to multi-scale model development for material performance and failure response
- Describes experimental methods for constitutive models, response functions, and failure processes
- Maximizes reader understanding with probabilistic modeling and uncertainty quantification
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
- Integrated Computational Materials Engineering (ICME)
- Ni-based superalloys
- Polymer Matrix Composites
- Computational Mechanics of Materials
- Computational Materials Science
- Multiscale Modeling
- Polycrystalline Microstructures
- Gamma-gamma’
- Sub-grain
- Molecular Dynamics
- Discrete Dislocation Dynamics
- Coarse-grained models
- Micro- tensile testing
- 3D Characterization
- Uncertainty Quantification
- data-driven science, modeling and theory building
About this book
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.
Editors and Affiliations
About the editors
Dr. Somnath Ghosh is Michael G. Callas Chair Professor in the Departments of Civil, Mechanical and Materials Science & Engineering, Johns Hopkins University and Director of the Center for Integrated Structure-Materials Modeling and Simulations (CISMMS).
Dr. Christopher Woodward is Principal Materials Research Engineer within the Materials and Manufacturing Directorate, Air Force Research Laboratory/RX, Wright Patterson Air Force Base.
Dr. Craig Przybyla is Senior Materials Engineer & Research Team Leader within the Air Force Research Laboratory/RX, Wright Patterson Air Force Base, OH.
Bibliographic Information
Book Title: Integrated Computational Materials Engineering (ICME)
Book Subtitle: Advancing Computational and Experimental Methods
Editors: Somnath Ghosh, Christopher Woodward, Craig Przybyla
DOI: https://doi.org/10.1007/978-3-030-40562-5
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40561-8Published: 21 March 2020
Softcover ISBN: 978-3-030-40564-9Published: 21 March 2021
eBook ISBN: 978-3-030-40562-5Published: 20 March 2020
Edition Number: 1
Number of Pages: XX, 405
Number of Illustrations: 22 b/w illustrations, 188 illustrations in colour
Topics: Characterization and Evaluation of Materials, Ceramics, Glass, Composites, Natural Materials, Mathematical and Computational Engineering, Materials Engineering, Data-driven Science, Modeling and Theory Building