基于PFM-FEM的多变体马氏体转变过程模拟及模型参数灵敏度分析

doi:10.11896/cldb.18100182

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Abstract It is generally recognized that accurate acquisition of the microscopic representation of the martensite transformation process is crucial for obtaining the best performance of the material and exceedingly significant in the field of material design. There are multiple parameters that exert influence on the transformation process of martensite. Accordingly, the key to precisely grasp the transformation mechanism of martensite lies in the quantitative analysis of the sensitivity of each parameter to the influence of martensite transformation. In this work, we employed phase field method to deduce the phase field equation of martensite transformation from metastable to steady state. Then, the solutions of the equation were figured out by finite element method, and the solution results were visualized as well. The variation curve of order parameter at various positions during martensite nucleation and growth were obtained, which revealed the nucleation growth law and dynamic variation characteristics of martensite transformation. On this basis, we designed an orthogonal test and quantitatively evaluated the impact and sensitivity degree of diverse parameters on martensitic transformation by response surface method. This study effectively expounded and determined the martensite transformation law and realized the quantitative evaluation of the martensite transformation process. It also provides a valuable approach to determine the law of martensite transformation and acquire the optimal process parameters, paving the way for improving the mechanical properties of materials.

Key words： phase-field method finite element method martensitic transformation orthogonal test parameter sensitivity

Published: 29 August 2019

CLC number:

TG111.5

About author:: Chang Li, associate professor, School of Mechanical Engineering and Automation, Liaoning University of Science and Technology, Master Instructor. Graduated from the School of Mechanical Engineering and Automation of Northeastern University with a Ph.D, in Mechanical Design and Theory in January 2009. Mainly engaged in mechanical reliability engineering, modern transmission and digital design, aerospace gear transmission system, rolling bearing service damage mechanism reliability analysis and dynamic optimization, welding reliability and metal large plastic deformation micro-characterization reliability test method, parallel, series robot mechanism motion accuracy reliability analysis, laser cladding, laser quenching, laser cleaning, supersonic spraying, flame spraying, welding, surfacing and other metal surface advanced manufacturing technology research. He was selected as one of the thousand-level candidates for Liaoning Province’s "Millions of Talents Project" and Liaoning Province's Supporting Plan for Excellent Talents in Colleges and Universities. He has published 52 articles in important journals at home and abroad, including 39 SCI/EI searches, 8 invention patents, 15 utility model patents and 2 software copyrights, and published a monograph.

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	LI Chang
	GAO Jingxiang
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Cite this article:

LI Chang,GAO Jingxiang,ZHANG Dacheng, et al. PFM-FEM Based Simulation of Multi-Variant Martensitic Transformation Process and Sensitivity Analysis of Model Parameters[J]. Materials Reports, 2019, 33(20): 3477-3488.

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http://www.mater-rep.com/EN/10.11896/cldb.18100182 OR http://www.mater-rep.com/EN/Y2019/V33/I20/3477

Mamivand M, Zaeem M A, El Kadiri H. Computational Materials Scie-nce,2013,77,304.2 Askeland D R, Wright W J. Essentials of materials science & engineering,Cengage Learning, USA,2013.3 Xu Z Y. Martensitic transformation and martensite, Second Edition, Science Press, China,1999(in Chinese).徐祖耀. 马氏体相变与马氏体, 第2版,科学出版社,1999.4 Kurdjumov G V J J. Materials Science & Engineering, 1959, 11(7), 449.5 Jani J M, Leary M, Subic A, et al. Materials & Design, 2014, 56,1078.6 Patoor E, Lagoudas D C, Entchev P B, et al. Mechanics of Materials, 2006, 38(5-6),391.7 Casciati F, Faravelli L, Fuggini C. Acta Mechanica, 2008,195(1-4),141.8 Barbarino S, Flores E I S, Ajaj R M, et al. Smart Materials and Structures, 2014, 23(6), 063001..9 Dong J, Cai C S, Okeil A M. Journal of Bridge Engineering,2011,16(2),305.10 Elahinia M H, Hashemi M, Tabesh M, et al. Progress in Materials Scie-nce, 2012, 57(5), 911.11 Olson G B, Hartman H. Le Journal de Physique Colloques,1982, 43(C4), C4-855.12 Lagoudas D C. Shape memory alloys: modeling and engineering applications, Springer, USA, 2008.13 Johnson W A, Mehl R F. Transactions of the American Institute of Mining and Metallurgical Engineers, 1939, 135, 416.14 Koistinen D P, Marburger R E. Acta Metallurgica, 1959,7, 59.15 Greenwood G W, Johnson R H. Proceedings of the Royal Society of London, 1965, 283(1394), 403.16 Denis S, Gautier E, Simon A, et al. Metal Science Journal, 1985, 1(10), 805.17 Kobayashi R. Physica D: Nonlinear Phenomena, 1993, 63(3-4), 410.18 Wang Y, Khachaturyan A G. Acta Materialia, 1997, 45(2), 759.19 Kundin J, Emmerich H, Zimmer J. Philosophical Magazine, 2010, 90(11), 1495.20 She H, Liu Y, Wang B. International Journal of Solids and Structures, 2013, 50(7-8), 1187.21 Tuma K, Stupkiewicz S, Petryk H. Journal of the Mechanics and Physics of Solids, 2018, 114, 117.22 Ginzburg V L, Landau L D. ZhETF, 1950, 20, 1064.23 Cahn J W, Hilliard J E. The Journal of Chemical Physics, 1958, 28(2), 258.24 Man J, Zhang J, Rong Y. Acta Metallurgica Sinica, 2010, 46(7), 775.25 Lifshitz E M, Pitaevskii L P. Statistical physics, 3rd edition, Part I, Landau and Lifshitz Course of Theoretical Physics, Pergamon Press, UK, 1980.26 Schmitt R, Mueller R, Kuhn C, et al. Archive of Applied Mechanics, 2013, 83(6), 849.27 Pimpinelli A, Villain J. Physics of crystal growth, Cambridge University Press, UK, 1998.