Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations

Author:   Maciej Pietrzyk, Ph.D. (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland) ,  Lukasz Madej (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland) ,  Lukasz Rauch (AGH University of Science and Technology, Krakow, Poland) ,  Danuta Szeliga (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780124167070


Pages:   376
Publication Date:   13 July 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations


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Overview

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called ""fast"" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.

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Author:   Maciej Pietrzyk, Ph.D. (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland) ,  Lukasz Madej (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland) ,  Lukasz Rauch (AGH University of Science and Technology, Krakow, Poland) ,  Danuta Szeliga (Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Butterworth-Heinemann Inc
Dimensions:   Width: 15.20cm , Height: 2.30cm , Length: 22.90cm
Weight:   0.680kg
ISBN:  

9780124167070


ISBN 10:   0124167071
Pages:   376
Publication Date:   13 July 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Towards Increase of the Efficiency of Modelling (DSz) 3. Conventional Modelling 4. Identification of Material Models and Boundary Conditions 5. Multiscale Modelling Methods 6. Reduction of the Computational Domain 7. Case Studies 8. Summary References

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