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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 CAFE 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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