Methodology for metamodelling of microstructure evolution: precipitation kinetic case study
Source abstract
Abstract
Numerical modeling is an important tool assisting in the designing and optimization of the production technology. The highest predictive capabilities are offered by multiscale modeling. The most important limitation of its wide application is computational cost. One of possible solutions is application of metamodels for fine scale modeling. In this paper, a systematic approach to development of metamodels is presented. All necessary steps, analyzing the model, selecting the metamodel inputs and outputs, gathering the training and testing datasets, choosing a metamodelling technique, training and testing the metamodel are described with a scientific background and practical examples. Development of the exemplary metamodel, replacing thermodynamic modeling of precipitation kinetic is presented.
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Research context
OpenAlex topics: Heat Transfer and Optimization · Advanced Multi-Objective Optimization Algorithms · Manufacturing Process and Optimization
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