Capturing Local Material Heterogeneities in Numerical Modelling of Microstructure Evolution

Abstract

The work focuses on developing the complex digital shadow of the metallic material microstructure that can predict its evolution during metal forming operations. Therefore, such a digital shadow has to consider all major physical mechanisms influencing the particular investigated phenomenon. The motivation for the work is directly related to the development of modern metallic materials, often of multiphase nature. Such microstructure types lead to local heterogeneities influencing material behaviour and eventually macroscopic properties of the final product. The concept of the digital material shadow, stages of the model development, and examples of practical applications to simulation of microstructure evolution are presented within the work. Capturing local heterogeneities that have a physical origin and eliminating numerical artefacts is particularly addressed. Obtained results demonstrate the capabilities of such a digital microstructure shadow approach in the numerical design of final product properties.

Computationally Efficient Cellular Automata‐Based Full‐Field Models of Static Recrystallization: A Perspective Review

“…Examples of the results obtained by the robust CA model developed in refs. [118,124] based on the above-presented assumptions are presented in Figure 9.…”

“…In ref. [118], it was also mentioned that evaluation of the overall value of the stored energy should be complemented by other measurement techniques like differential scanning calorimetry to increase the reliability of simulations. Issues related to the initial data preparation for further SRX modeling are comprehensively summarized in ref.…”