Optimization of Gear Grinding Parameters with Worm Grinding Wheel

被引：3
|
作者：
Wang L. [1 ]
Zhao X. [1 ]
Li J. [2 ]
机构：
[1] School of Mechanical & Electronic, Wuhan University of Technology, Wuhan
[2] Shaoneng Group Shaoguan Hongda Gear Co., Ltd., Shaoguan
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2021年 / 32卷 / 17期
关键词：
Gear grinding; Grinding parameter optimization; Tooth surface roughness; Uniform design test; Worm grinding wheel;
D O I：
10.3969/j.issn.1004-132X.2021.17.015
中图分类号：
学科分类号：
摘要：
Taking the 20CrMnTi gear grinding processes with worm grinding wheels as the research object, the uniform design test method was selected to study influences of the grinding parameters(i. e. grinding wheel linear speed vs, grinding wheel along the gear axial feed speed vw, grinding thickness ap)on the tooth surface roughness. The regression model of grinding parameters and tooth surface roughness was established by using two-level stepwise regression method, and the optimization model with multiple goals was established with the machining efficiency and tooth surface roughness as the optimization objectives. The particle swarm optimization algorithm was used to optimize the grinding parameters. The experimental results show that the optimized grinding parameters may improve the machining efficiency and reduce the tooth surface roughness. © 2021, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码：2136 / 2141
页数：5
相关论文
共 18 条
  • [1] GAO Qin, Research on the Tooth Surface Roughness of Disc Grinding Wheel Grinding Gear, (2016)
  • [2] JENS H, ANDREAS S, STEPHAN W., Continuous Generating Grinding-Tooth Root Machining and Use of CBN-tools, CIRP Annals-Manufacturing Technology, 61, 1, pp. 291-294, (2012)
  • [3] CHEN Yong, ZANG Libin, JU Dongying, Et al., Research Status and Development Trend of High-strength Automotive Gear Surface Strengthening Technology, China Surface Engineering, 30, 1, pp. 1-15, (2017)
  • [4] ZOU Jiasheng, XU Feng, LU Long, The Research Status of Gear Surface Modification Technology, Journal of Jiangsu University of Science and Technology(Natural Science Edition), 23, 2, pp. 113-116, (2009)
  • [5] WU Di, Research on Intelligent Grinding Technology of CNC Gear Grinding Machine Based on 840D, (2018)
  • [6] WU Lulu, Research on High-speed and High-precision Control and Error Compensation Algorithms for Electronic Gearboxes, (2017)
  • [7] HAN Jiang, ZHANG Kuibang, YANG Qingyan, Et al., Research on Geometric Error Compensation Decoupling of Worm Grinding Machine Based on Electronic Gearbox, Journal of Hefei University of Technology(Natural Science Edition), 38, 9, pp. 1153-1158, (2015)
  • [8] ZHANG Kuibang, Research on Error Modeling and Control Technology of CNC Worm Gear Grinding Machine, (2014)
  • [9] ZHONG Jintong, LI Guolong, LIU Dabin, Et al., Modeling of Radial Thermal Error of Worm Wheel Gear Grinding Machine Based on Probabilistic Neural Network, Computer Integrated Manufacturing System, 23, 3, pp. 534-541, (2017)
  • [10] ZHONG Jintong, Modeling and Compensation of Radial Thermal Error of Worm Gear Grinding Machine, (2017)
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