|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Design and Simulation of Materials (CDSM 2018): Computational Design of Materials
||Computational Microstructure Characterization and Reconstruction for Multi-scale Analysis of Multi-phase AHSS
||Hongshan Zhao, Han Dong, Wei Li, Xuejun Jin
|On-Site Speaker (Planned)
The microstructural information such as phase morphology and distribution is progressively important for the microstructure reconstruction and design of new generation multi-phase AHSS on the multi-scale. In this study, multiphase quenching and partitioning treated steels are characterized and reconstructed by a set of numerical algorithms according to microscopic images. The microstructure features are described by kinds of parameters. This information will be efficient to have a relatively comprehensive understanding of the constituent phases and will be helpful to identify the key performance parameters. On the other hand, the relationship between nucleation number and the volume fraction of martensite\austenite is discussed by the reconstructed images. The results explain the reason for martensite coarsening and predict the optimum volume fraction of martensite\austenite. It proves that the computational microstructure characterization and reconstruction method is effective to improve the efficiency of materials analysis and design.
||Planned: Supplemental Proceedings volume