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Effect of crystallographic orientation of nucleus on discontinuous dynamic recrystallization (DDRX) behavior in 304LN stainless steel is investigated using a multiscale model, namely a coupled crystal plasticity finite element method and DDRX-based cellular automata model. The three orientation selection schemes of nucleus are specially exploited in the simulation; i.e., (1) random orientation, (2) inheritance of orientation of parent deformed grain, and (3) generalized strain energy release maximization theory. The DDRX behaviors such as flow stress, DDRX volume fraction, grain size, and texture predicted by the three schemes are compared and the differences are explained through the simulated microstructure evolutions. This study suggests that it is reasonable to assign a random orientation to the nucleus through comparisons with experimental evidence.

Integrated computational materials engineering (ICME) is a simulation‐driven design approach that employs multiscale‐multiphysics modeling and is based on the understanding of process–structure–property–performance relationships. The ICME approach has attracted considerable attention in the automotive industry, considering that it significantly reduces development cost and time in optimization of materials and processes through computational advancement. This study presents a comprehensive review of ICME activities in advanced automotive manufacturing technology, which focuses on the life cycle of the automotive body structure such as structural material design, manufacturing process optimization, and reliability improvement in service quality. Results show that the ICME approach has been widely implemented in automotive manufacturing processes, from development of lightweight materials to performance management. However, further advances and technological strategies should be sought to develop more robust methodologies that can replace conventional experiment‐based design approaches.

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