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Integrated Computational Materials Engineering (ICME)

Advancing Computational and Experimental Methods

Editors: Ghosh, Somnath, Woodward, Christopher, Przybyla, Craig (Eds.)

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  • 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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  • ISBN 978-3-030-40562-5
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About this book

‚ÄčThis 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.

About the authors

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Acquisition of 3D Data for Prediction of Monotonic and Cyclic Properties of Superalloys

    Pages 1-18

    Echlin, McLean P. (et al.)

  • Data Structures and Workflows for ICME

    Pages 19-53

    Donegan, Sean P. (et al.)

  • Multi-scale Microstructure and Property-Based Statistically Equivalent RVEs for Modeling Nickel-Based Superalloys

    Pages 55-90

    Ghosh, Somnath (et al.)

  • Microscale Testing and Characterization Techniques for Benchmarking Crystal Plasticity Models at Microstructural Length Scales

    Pages 91-125

    Eastman, David W. (et al.)

  • Computational Micromechanics Modeling of Polycrystalline Superalloys: Application to Inconel 718

    Pages 127-163

    Cruzado, Aitor (et al.)

Buy this book

eBook $169.00
price for USA in USD
  • ISBN 978-3-030-40562-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-3-030-40561-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Integrated Computational Materials Engineering (ICME)
Book Subtitle
Advancing Computational and Experimental Methods
Editors
  • Somnath Ghosh
  • Christopher Woodward
  • Craig Przybyla
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-40562-5
DOI
10.1007/978-3-030-40562-5
Hardcover ISBN
978-3-030-40561-8
Edition Number
1
Number of Pages
XX, 405
Number of Illustrations
22 b/w illustrations, 188 illustrations in colour
Topics

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