Phase field simulation of martensitic-transformation-induced plasticity in steel

Design of advanced steels by integrated computational materials engineering

“…Relevant data on martensitic transformation crystallography and deformation mechanics at different temperatures are needed in the phase field model.Currently, the martensitic phase field model can calculate the phase transformation of isothermal martensite, [86,87] variable temperature martensite, [88] and thermoelastic martensite, [89] and meanwhile, the martensitic transformation containing elastic‐plastic mechanical constitutive relations in poly‐crystals was simulated. The solution includes fundamental scientific issues, such as martensitic transformation in TRansformation Induced Plasticity (TRIP) steel, [90] reverse martensitic transformation, [91] and the influence of dislocations on martensitic transformation [92] in steels. Although there are still significant differences in quantitative comparison between experiments and calculations, it will become increasingly close to reality with the improvement of the model. Corrosion:In the phase field model, the effects can be introduced into the model (such as electric potential, chemical potential of ions, and external stress–strain), so as to study the corrosion mechanism of steel materials.…”

“…highlighted the potential of ML in shortening R&D cycles and reducing costs in metal additive manufacturing in a review article, advocating interdisciplinary cooperation to accelerate material development by combining physics, chemistry, material science, and computer science. Yu et al [49–128] . explored the role of ML in guiding the design and discovery of metal structural materials, emphasizing the importance of data sharing and physics‐informed modeling.…”

Phase-field Modeling and Simulation of Solid-state Phase Transformations in Steels

“…Using a similar approach, Ahlwalia et al developed an elasto-plastic phase-field model of martensitic transformation using 24 different non-conserved order parameters. 82) Their phase-field models, in which the 24 order parameters were used to describe the formation of the KS variants, are based on a phenomenological concept. As discussed below, to model the lath martensite formation, it might be natural to consider that formation of the 24 KS variants is a result of the plastic accommodation of the stress field generated by the Bain strain in the martensite phase.…”

“…Later, the phase-field modeling of lath martensite formation in low-carbon steels, which is different from the above-mentioned models, 80,82) was developed by Murata and co-workers. [83][84][85][86][87] They proposed a new theory of plastic accommodation in the martensitic transformation by considering the slip deformation in the martensite phase, which was named the "two types of slip deformation" (TTSD) model.…”

Numerical study of TRIP transformation in 35NCD16 steel-effects of plate orientation and some criteria

“…The model is based on a simplified micro-mechanical approach, which assumes an elastoplastic behavior of the two parent and produced phases. Other approaches were developed with the aim of a better estimation of TRIP in its two parts (kinetics and the final value) [20,21] such as: -A micromechanical approach [21], combining theories of limit analysis and homogenization makes possible to overcome the excessive hypotheses introduced in the Leblond model [19].…”