Transactions of Materials and Heat Treatment

Title：Study on mechanical properties and parameter optimization for 42CrMo steel ultrasonic rolling extrusion

Authors： Shi Qingsong Xu Hongyu Wang Xiaoqiang Li Zhao Wang Paigang

Unit： Henan University of Science and Technology

KeyWords： 42CrMo steel ultrasonic rolling extrusion J-C constitutive model residual compressive stress hardness

ClassificationCode：TG376.1

year,vol(issue):pagenumber：2024,49(3):75-85

Abstract：

In order to improve the mechanical properties of 42CrMo steel bearing rings, based on the kinematic analysis of rolling extrusion head during ultrasonic rolling extrusion process and the improved J-C constitutive model, a finite element numerical simulation of the ultrasonic rolling extrusion process for 42CrMo steel bearing rings under different parameters was carried out， the response surface prediction model and interactive response surface diagram were established, and the influence laws of different parameters on the mechanical properties were studied. The results show that the residual compressive stress increases first and then decreases with the inereasing of rotational speed and feeding speed, which is proportional to the amplitude and static pressure. The hardness is proportional to the amplitude and static pressure, and inversely proportional to the feeding speed. With the increasing of rotational speed, the hardness increases first and then decreases. Furthermore, the simulation prediction model was optimized by adaptive simulated annealing (ASA) algorithm. The obtained solution set of optimal processing parameters is the rotational speed of 290-360 r·min-1, the feeding speed of 18-24 mm·min-1, the amplitude of 19-22 μm, the static pressure of 580-650 N, and the obtained solution set of optimal mechanical property parameters is the residual compressive stress of 1002-1033 MPa and the hardness of 773-793 HV. Finally, the accuracy of the simulation model and optimization results is proved by experiment.

Funds：

国家自然科学基金资助项目（U1804145）；国家重点研发计划（2018YFB2000405，2022YFC2805702)

作者简介：石青松（1998-），男，硕士研究生，E-mail：2964593482@qq.com；通信作者：徐红玉（1972-），男，博士，教授，E-mail：xuhongyu@haust.edu.cn

Reference：

[1]王晓强,张彪,崔凤奎,等.超声滚挤压轴承套圈表面性能预测模型建立[J].塑性工程学报,2022,29(6):25-32.

Wang X Q, Zhang B, Cui F K, et al. Construction of surface performance prediction model of ultrasonic roll extruded bearing ring [J]. Journal of Plasticity Engineering, 2022, 29(6): 25-32.

[2]任雁,刘佳,刘斌,等.超声滚挤压风电轴承材料表面粗糙度加工参数敏感性研究[J].锻压技术,2022,47(1):98-105.

Ren Y, Liu J, Liu B, et al. Sensitivity study on surface roughness processing parameters for wind turbine bearing materials by ultrasonic rolling extrusion [J]. Forging & Stamping Technology, 2022, 47(1): 98-105.

[3]王晓强,阮孝林,崔凤奎，等.超声滚挤压表面硬度预测模型研究[J].机械强度,2020,42(4):811-816.

Wang X Q, Ruan X L, Cui F K, et al. Study on prediction model of surface hardness in ultrasound rolling extrusion [J]. Journal of Mechanical Strength, 2020, 42(4): 811-816.

[4]肖友谱. 超声滚挤压对ZG20SiMn钢表面性能的影响[D].赣州:江西理工大学,2021.

Xiao Y P. Effect of Ultrasonic Roller Extrusion on Surface Properties of ZG20SiMn Steel[D]. Ganzhou: Jiangxi University of Science and Technology, 2021.

[5]程明龙,肖勇,刘康宁，等.超声振动滚挤压对金属表面微观组织的影响[J].工具技术,2019,53(7):73-76.

Cheng M L, Xiao Y, Liu K N, et al. Investigations on effects of ultrasonic rolling process on surface microstructure of steel [J]. Tool Engineering, 2019, 53(7): 73-76.

[6]Lan S L, Qi M, Zhu Y F, et al. Ultrasonic rolling strengthening effect on the bending fatigue behavior of 12Cr2Ni4A steel gears[J]. Engineering Fracture Mechanics,2023,279:109024.

[7]Zhu X T, Liu P T, Zhang C, et al. Study on surface integrity and fatigue properties of TC4 titanium alloy by surface ultrasonic rolling[J]. Materials,2023,16(2):485.

[8]Ren Z H, Li Z H, Zhou S H, et al. Study on surface properties of Ti-6Al-4V titanium alloy by ultrasonic rolling[J]. Simulation Modelling Practice and Theory, 2022, 121:102643.

[9]Wang J T, Zhang C S, Shen X H, et al. A study on surface integrity of laser cladding coatings post-treated by ultrasonic burnishing coupled with heat treatment[J]. Materials Letters,2022,308：131136.

[10]于月民, 盖芳芳, 丁元柱. 三种二维快速伺服刀架仿真分析[J]. 广东石油化工学院学报, 2022, 32(6):44-45,49.

Yu Y M, Gai F F, Ding Y Z. Simulation analysis of three 2-DOF fast servo tool [J]. Journal of Guangdong University of Petrochemical Technology, 2022, 32(6):44-45,49.

[11]张正礼. 尾翼前缘结构抗鸟撞仿真分析[J]. 计算机仿真, 2022, 39(12): 69-72,164.

Zhang Z L. Numerical simulation for bird impact resistance of tail leading edge structure [J]. Computer Simulation, 2022, 39(12): 69-72,164.

[12]卢也森, 朱志武, 谢奇峻. 基于改进J-C模型的42CrMo钢动态本构关系研究[J]. 四川理工学院学报:自然科学版, 2016, 29(3): 61-65.

Lu Y S, Zhu Z W, Xie Q J. Study on dynamic constitutive relation of 42CrMo steel based on Johnson-Cook model [J]. Journal of University of Science & Engineering: Natural Science Edition, 2016, 29(3): 61-65.

[13]路彦君. 镍基高温合金Inconel718微铣削残余应力与加工硬化研究[D]. 大连: 大连理工大学, 2016.

Lu Y J. Researches on Residual Stress and Work Hardening on Micro-milling Nickel-base Superalloy Inconel718 [D]. Dalian: Dalian University of Technology, 2016.

[14]Dkhichi F, Oukarfi B, Fakkar A, et al. Parameter identification of solar cell model using Levenberg-Marquardt algorithm combined with simulated annealing [J]. Solar Energy, 2014, 110：781-788.

[15]史贵连, 李凯扬, 叶福丽. 基于自适应模拟退火算法的生物体三维温度场重构研究[J]. 机械工程学报, 2016, 52(6): 166-173.

Shi G L, Li K Y, Ye F L. Research on 3D temperature field in biological tissue based on adaptive simulated annealing algorithm[J]. Journal of Mechanical Engineering, 2016, 52(6): 166-173.

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