Computational Materials Engineering
Achieving High Accuracy and Efficiency in Metals Processing Simulations
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...
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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 withsuggestions 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.
Bibliographische Angaben
- Autoren: Maciej Pietrzyk , Lukasz Madej , Lukasz Rauch
- Verlag: Elsevier Science & Technology
- EAN: 9780124167070
Inhaltsverzeichnis zu „Computational Materials Engineering “
1. Introduction2. 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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