Machine learning interphase precipitation behavior of Ti micro-alloyed steel guided by physical metallurgy principle

Li, Xin; Jiang, Qiming; Zhou, Xiaoguang; Wu, Shijing; Cao, Guangming; Liu, Zhenyu

doi:10.1016/j.jmrt.2023.06.077

Cited by 1 publication

(1 citation statement)

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“…Li et al [125] . collected and systematically preprocessed 143 sets of raw data, ultimately obtaining 88 sets of data including chemical composition and processing parameters.…”

Section: Methodsmentioning

confidence: 99%

Design of advanced steels by integrated computational materials engineering

Lu,

He,

Zheng

2024

Materials Genome Engineering Advances

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The integrated computational materials engineering (ICME) has achieved great success in accelerating the rational design and deployment of new materials. It is a new route of designing new materials and processes and highlighted by Materials Genome Initiative/Engineering that stresses the high‐throughput computation in addition to high‐throughput experimentation and materials informatics. This article presents a brief review on the basic theories and multi‐scale computational tools of ICME to design advanced steel grades, including the first‐principles calculations, the CALPHAD method (i.e., computational thermodynamics) fueled by dedicated databases, diffusion and phase‐field simulations, as well as finite analysis methods and machine learning. In the ICME scheme to deal with steels, the CALPHAD method is considered as the core to readily consider multi‐component systems and integrated to link the microscopic simulations (such as diffusion and phase field method to predict microstructure evolutions in response to external conditions) and macroscopic finite analysis method to deal with mechanical properties. Two applications are also presented to address the new routes to carry out materials design, especially for advanced steels.

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“…Li et al [125] . collected and systematically preprocessed 143 sets of raw data, ultimately obtaining 88 sets of data including chemical composition and processing parameters.…”

Section: Methodsmentioning

confidence: 99%