热处理数值模拟技术的研究进展

doi:10.11896/cldb.20060193

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Abstract The development of manufacturing industry can enhance the comprehensive competitiveness of a country, among which metal materials play an important role. As an important basic process to improve the performance of metal materials, heat treatment has the characteristics of many influencing factors and long research and development cycles. Therefore, it is very necessary to optimize the process, shorten the cycle time, and improve the efficiency and quality. The traditional heat treatment processes are mostly determined by experience, and have some shortcomings such as blindness, high cost and low efficiency. The combination of computer and heat treatment technology breaks this bottleneck, making the heat treatment process “visualized” —the influence of process parameters on the microstructure and performance can be observed, making the process optimization reliable, saving a lot of energy and time, shortening the research and development cycle, and improving the production efficiency. In addition, the mechanism of phase change in heat treatment can be studied, and the effect of phase change on performance can be deeply analyzed. At present, there are many simulation methods in heat treatment simulation, including Monte Carlo method, cellular automata method, phase field method and finite element method, which have their own merits in simulation. With the advantage of coupling multiple fields, finite element method focuses on the exploration of the influence content of heat treatment process parameters, with the purpose of optimizing the heat treatment process and solving the practical application problems in engineering. The last three methods are mainly for the study of phase transition mechanism, among which Monte Carlo method and cellular automata method are more used to simulate the nucleation position and grain growth phenomenon in the phase transition process; the phase field method is used to simulate the mesoscopic morphology of phase transition and explore the evolution mechanism of phase transition.
In this paper, the application status of these simulation methods in heat treatment is summarized, and the advantages and disadvantages of these methods are compared, so as to provide reference for the selection of simulation methods. The application of finite element method in numerical simulation of heat treatment is emphatically analyzed, and the future development of numerical simulation of heat treatment is prospected on the basis of this. It is pointed out that the multi-scale coupled integrated computation based on finite element algorithm will be one of the future development directions.

Key words： heat treatment numerical simulation finite element multi-field coupling

Published: 03 November 2021

CLC number:

TG151

Fund:Doctoral Scientific Research Foundation of Liaoning Province (20170520151), Scientific Research Funding Project of Education Department of Liaoning Province (LJ2020JCL021, LJ2020JCL027),Discipline Innovation Team Foundation of Liaoning Technical University (LNTU20TD-16).

About author:: Xin Ren received his Ph.D. degree in materials science from Nanjing University of Science and Technology in Jul. 2005. He is currently a professor and master supervisor of the Liaoning Technical University. He has published more than 50 journal papers as the first author. His research interests focus on material surface modification, material corrosion and protection.
Zhiyu Gao received his Ph. D. degree in materials science and engineering from University of Science and Technology Beijing in January 2016. He is currently an associate professor and master supervisor in Liaoning Technical University. His research interests are streng-thening and toughening of metal materials, integrated calculation of materials, optimization design of mate-rials and processes based on materials data, etc.

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	REN Xin
	DOU Chunyue
	GAO Zhiyu
	ZHUANG Da
	QI Pengtao
	HE Wei

Cite this article:

REN Xin,DOU Chunyue,GAO Zhiyu, et al. Research Progress of Numerical Simulation in Heat Treatment[J]. Materials Reports, 2021, 35(19): 19186-19194.

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http://www.mater-rep.com/EN/10.11896/cldb.20060193 OR http://www.mater-rep.com/EN/Y2021/V35/I19/19186

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