Submission Deadline: 31 October 2024 View: 70 Submit to Special Issue
Incorporation of computer aided simulations to research and development has introduced indisputable benefits to numerous fields of industry and commerce. Their application in metallurgy and materials engineering has brought numerous advantages and highly effective solutions for sustainable development. Nevertheless, the relevance and accuracy of the acquired predictions are only defined by the robustness and reliability of the input data and defined initial and boundary conditions. The reliability of the used data, and thus of the predicted results, is ensured by conducting properly designed experiments, the results of which are applied to calculate rheology models and define material behaviours during processing. Besides the highly favoured finite element method, suitable to solve numerous tasks, the popularity of neural networks, enabling to generate self-learning algorithms, has recently been on the rise; this trend shifted the possibility of application of computer modelling within the metallurgy and materials engineering research to an entirely new level.
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