考虑热塑性变形的316H不锈钢Johnson-Cook本构参数逆向识别

doi:10.3969/j.issn.1004-132X.2022.07.014

中国机械工程 ›› 2022, Vol. 33 ›› Issue (07): 864-871.DOI: 10.3969/j.issn.1004-132X.2022.07.014

考虑热塑性变形的316H不锈钢Johnson-Cook本构参数逆向识别

李秀儒1;魏兆成1;郭明龙1;王敏杰1;郭江1;高伟2;孙昉2

1.大连理工大学精密与特种加工教育部重点实验室，大连，116024
2.陆军装备部大连军代室，大连，116010

出版日期:2022-04-10 发布日期:2022-05-04
通讯作者: 魏兆成（通信作者），男，1981年生，副教授。研究方向为切削理论与技术、先进加工工艺与刀具。发表论文46篇。E-mail:wei_zhaocheng@dlut.edu.cn。
作者简介:李秀儒,男，1995年生，博士研究生。研究方向为切削加工机理、表面质量。发表论文2篇。E-mail:lixiuru@mail.dlut.edu.cn。
基金资助:
国家重点研发计划（2018YFA0702900）；
国家自然科学基金（U1908231）

Reverse Identification of Johnson-Cook Constitutive Parameters of 316H Stainless Steels Considering Thermoplastic Deformations

LI Xiuru1;WEI Zhaocheng1;GUO Minglong1;WANG Minjie1;GUO Jiang1;GAO Wei2;SUN Fang2

1.Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education,Dalian University of Technology,Dalian,Liaoning,116024
2.Dalian Military Representative Office of the Army Equipment Department,Dalian,Liaoning,116010

Online:2022-04-10 Published:2022-05-04

摘要/Abstract

摘要： 本构模型能表征材料变形过程中的动态响应，其精度对机械加工中切削力、切削温度的解析预测具有决定性作用。针对316H不锈钢本构模型缺失问题，提出一种基于切削理论的Johnson-Cook本构参数逆向识别方法。通过建立的不等分主剪切区的应力、应变、应变率及温度分布的数学模型，以及准静态压缩试验和正交切削试验的数据，采用粒子群算法逆向识别出316H不锈钢的本构参数。切削力预测模型验证了该逆向识别方法的可行性和本构模型的可靠性。

关键词: 316H不锈钢, 本构模型, 逆向识别, 不等分剪切区, 摩擦因数

Abstract: The constitutive model might characterize the dynamic response of materials in the deformation processes, and the accuracy of constitutive model played a determinant role in analytical prediction of cutting forces, cutting temperature in machining. Aiming at the problems of lack for constitutive model of 316H stainless steels, a Johnson-Cook(J-C) constitutive parameter reverse identification method was proposed based on metal cutting theory. By establishing mathematics models of stress, strain, strain rate, and temperature distribution in unequal principal shear zones, and combining with the data of quasi-static compression tests and orthogonal cutting tests, the constitutive parameters of 316H stainless steel were reversely identified by particle swarm optimization algorithm. The cutting force prediction model was used to verify the feasibility of the reverse identification method and the reliability of the constitutive model.

Key words: 316H stainless steel, constitutive model, reverse identification, unequal division shear zone model, coefficient of friction

中图分类号:

李秀儒, 魏兆成, 郭明龙, 王敏杰, 郭江, 高伟, 孙昉. 考虑热塑性变形的316H不锈钢Johnson-Cook本构参数逆向识别[J]. 中国机械工程, 2022, 33(07): 864-871.

LI Xiuru, WEI Zhaocheng, GUO Minglong, WANG Minjie, GUO Jiang, GAO Wei, SUN Fang. Reverse Identification of Johnson-Cook Constitutive Parameters of 316H Stainless Steels Considering Thermoplastic Deformations[J]. China Mechanical Engineering, 2022, 33(07): 864-871.

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参考文献

［1］张廷克，李闽榕，潘启龙. 中国核能发展报告（2020）［M］. 北京:社会科学文献出版社, 2020:1-19.
ZHANG Tingke, LI Minrong, PAN Qilong. The Report on the Development of China’s Nuclear Energy (2020)［M］. Beijing:Social Sciences Academic Press (CHINA), 2020:1-19.
［2］徐海涛. 快堆结构材料综述［J］. 核科学与工程, 2008(2):129-133.
XU Haitao. A Review of Fast Reactor Structural Materials［J］. Nuclear Science and Engineering, 2008(2):129-133.
［3］KOO G H, YOON J H. Inelastic Material Models of Type 316H for Elevated Temperature Design of Advanced High Temperature Reactors［J］. Energies, 2020, 13(17):4548.
［4］ZHAO L, QI X Y, XU L Y, et al. Tensile Mechanical Properties, Deformation Mechanisms, Fatigue Behavior and Fatigue Life of 316H Austenitic Stainless Steel:Effects of Grain Size［J］. Fatigue & Fracture of Engineering Materials & Structures, 2020, 44:533-550.
［5］JOHNSON G R, COOK W H. A Constitutive Model and Data for Metals Subjected to Large Strains, High Strain Rates and High Temperature［J］.Engineering Fracture Mechanics, 1983, 21:541-548.
［6］MOLINARI A, RAVICHANDRAN G. Constitutive Modeling of High-strain-rate Deformation in Metals Based on the Evolution of an Effective Microstructural Length［J］. Mechanics of Materials, 2005, 37(7):737-752.
［7］SHI H, MCLAREN A J, SELLARS C M, et al. Constitutive Equations for High Temperature Flow Stress of Aluminum Alloys［J］. Materials Science & Technology, 1997, 13(3):210-216.
［8］BODNER S R, PARTOM Y. Constitutive Equations for Elastic-viscoplastic Strain-hardening Materials［J］. Journal of Applied Mechanics, 1975, 42(2):385-389.
［9］RUSINEK A, KLEPACZKO J R. Shear Testing of a Sheet Steel at Wide Range of Strain Rates and a Constitutive Relation with Strain-rate and Temperature Dependence of the Flow Stress［J］. International Journal of Plasticity, 2001, 17(1):87-115.
［10］ZERILLI P J, ARMSTRONG R W. Dislocation-mechanics-based Constitutive Relations for Material Dynamics Calculations［J］. Journal of Applied Physics 1987, 61:1816-1825.
［11］SHROT A, BKER M. Determination of Johnson-Cook Parameters from Machining Simulations［J］. Computational Materials Science, 2012, 52(1):298-304.
［12］MEYER H W, KLEPONIS D S. Modeling the High Strain Rate Behavior of Titanium Undergoing Ballistic Impact and Penetration［J］. International Journal of Impact Engineering, 2001, 26(1):509-521.
［13］李国和. 基于线性扰动分析的高速切削过程绝热剪切预测研究［D］. 大连：大连理工大学, 2009.
LI Guohe. Prediction of Adiabatic Shear in High Speed Machining Based on Linear Pertubation Analysis［D］. Dalian:Dalian University of Technology, 2009.
［14］TOUNSI N, VINCENTI J, OTHO A, et al. From the Basic Mechanics of Orthogonal Metal Cutting toward the Identification of the Constitutive Equation［J］. International Journal of Machine Tools and Manufacture, 2002, 42(12):1373-1383.
［15］潘鹏飞，宋华伟，任国旗，等. 基于正交切削理论的熔石英高温本构参数的逆向识别［J］. 中国科学:技术科学, 2020, 50(11):18-28.
PAN Pengfei, SONG Huawei, REN Guoqi, et al. Reverse Identification of High-temperature Constitutive Parameters of Fused Silica Based on Orthogonal Cutting Theory［J］. Scientia Sinica Technologica, 2020, 50(11):18-28.
［16］陈冰，刘卫，罗明，等. 基于直角切削的高温合金John-Cook本构参数逆向识别［J］. 机械工程学报, 2019, 55(7):217-224.
CHEN Bing, LIU Wei, LUO Ming, et al. Reverse Identification of John-Cook Constitutive Parameters of Superalloy Based on Orthogonal Cutting［J］. Journal of Mechanical Engineering, 2019, 55(7):217-224.
［17］MERCHANT M E. Mechanics of the Metal Cutting Process. I. Orthogonal Cutting and a Type 2 Chip［J］. Journal of Applied Physics, 1945, 16(5):267-275.
［18］OXLEY P L B. The Mechanics of Machining:an Analytical Approach to Assessing Machinability［M］.West Sussex, England:Ellis Horwood Ltd., 1989:279-287.
［19］ASTAKHOV V P, OSMAN M O M, HAYAJNEH M T. Re-evaluation of the Basic Mechanics of Orthogonal Metal Cutting:Velocity Diagram, Virtual Work Equation and Upper-bound Theorem［J］. International Journal of Machine Tools & Manufacture, 2001, 41(3):393-418.
［20］SHI B，ATTIA H，TOUNSI N. Identification of Material Constitutive Laws for Machining—Part I：an Analytical Model Describing the Stress，Strain，Strain Rate，and Temperature Fields in the Primary Shear Zone in Orthogonal Metal Cutting［J］. Journal of Manufacturing Science & Engineering，2010，132(5)：998-1008.
［21］LOEWEN E G, SHAW M C. On the Analysis of Cutting-tool Temperatures［J］. Transactions of ASME, 1954, 76(2):217-225.
［22］JAEGER J C. Moving Sources of Heat and the Temperature at Sliding Contacts［J］. Proceedings of the Royal Society of New South Wales, 1942, 76:203-224.
［23］龚纯，王正林. 精通MATLAB最优化计算［M］. 北京：电子工业出版社, 2009:270-312.
GONG Chun, WANG Zhenglin. Proficient in MATLAB Optimization Calculation［M］. Beijing:Publishing House of Electronics Industry, 2009:270-312.
［24］OZLU E, BUDAK E, MOLINARI A. Analytical and Experimental Investigation of Rake Contact and Friction Behavior in Metal Cutting［J］. International Journal of Machine Tools & Manufacture, 2009, 49(11):865-875.
［25］陈日曜. 金属切削原理［M］. 北京:机械工业出版社, 2012:33-96.
CHEN Riyao. Fundamentals of Metal［M］. Beijing:China Machine Press, 2012:33-96.

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考虑热塑性变形的316H不锈钢Johnson-Cook本构参数逆向识别

Reverse Identification of Johnson-Cook Constitutive Parameters of 316H Stainless Steels Considering Thermoplastic Deformations

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