基于阻抗控制和工艺优化的机器人磨抛技术研究
Research on Robot Polishing Technology Based on Impedance Control and Process Optimization
DOI: 10.12677/MOS.2023.123293, PDF,    国家自然科学基金支持
作者: 张跃飞, 吕显云, 毋宇超, 吴 杰, 郭淼现:上海理工大学机械工程学院,上海
关键词: 阻抗控制工艺优化表面粗糙度机器人磨抛Impedance Control Process Optimization Surface Roughness Robot Polishing
摘要: 机器人磨抛加工具有柔性好、效率高等优点,但是其加工表面一致性容易受到末端力控及工艺参数的影响。本文首先通过机器人磨抛的阻抗控制的建模与仿真,对其参数进行整定,提高响应速度,减少力稳定时间;然后利用单因素和正交实验,分析工艺参数对磨抛表面粗糙度的影响规律,建立表面粗糙度的预测模型,求解得到有利于表面质量的工艺参数组合;最后结合阻抗控制和工艺参数优化实现磨抛质量的提升,研究结果表明:基于阻抗控制与工艺参数优化的机器人磨抛加工,可以有效降低工件表面粗糙度、提高表面完整性。
Abstract: Robot grinding has the advantages of good flexibility and high efficiency, but the consistency of the machined surface is easy to be affected by the end force control and process parameters. In this pa-per, the impedance control model and simulation of robot grinding are used to adjust the parame-ters, improve the response speed and reduce the force stability time. Then, the influence of process parameters on surface roughness was analyzed by single factor and orthogonal experiment, the prediction model of surface roughness was established, and the process parameters favorable to surface quality were obtained. Finally, impedance control and process parameter optimization are combined to improve the grinding quality. The results show that the robot grinding based on im-pedance control and process parameter optimization can effectively reduce the workpiece surface roughness and improve the surface integrity.
文章引用:张跃飞, 吕显云, 毋宇超, 吴杰, 郭淼现. 基于阻抗控制和工艺优化的机器人磨抛技术研究[J]. 建模与仿真, 2023, 12(3): 3180-3193. https://doi.org/10.12677/MOS.2023.123293

参考文献

[1] 田勇. 打磨机器人恒力控制系统设计及实现[D]: [硕士学位论文]. 重庆: 重庆大学, 2019.
[2] Du, H., Sun, Y., Feng, D., et al. (2015) Automatic Robotic Polishing on Titanium Alloy Parts with Compliant force/Position Control. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229, 1180-1192. [Google Scholar] [CrossRef
[3] Fu, Y.L., Han, X., Sepehri, N., et al. (2018) Design and Performance Analysis of Position-Based Impedance Control for an Electro-Hydrostatic Actuation System. Chinese Journal of Aeronautics, 31, 584-596. [Google Scholar] [CrossRef
[4] 高培阳. 基于力传感器的工业机器人恒力磨抛系统研究[D]: [硕士学位论文]. 武汉: 华中科技大学, 2019.
[5] Pedrocchi, N., Villagrossi, E., Cenati, C., et al. (2015) Design of Fuzzy Logic Con-troller of Industrial Robot for Roughing the Uppers of Fashion Shoes. The International Journal of Advanced Manufacturing Technology, 77, 939- 953. [Google Scholar] [CrossRef
[6] 淮文博. 工艺参数对砂布轮柔性抛光力影响规律的分析[J]. 航空精密制造技术, 2016, 52(4): 24-27+39.
[7] Zhao. T., Shiy, Y., Lin, X.J., et al. (2014) Surface Roughness Prediction and Parameters Optimizationin Grinding and Polishing Process for IBR of Aero-Engine. International Journal of Advanced Manufacturing Technology, 74, 653-663. [Google Scholar] [CrossRef
[8] 何瑛俏. 航空发动机叶片磨抛工艺的研究及优化[D]: [硕士学位论文]. 杭州: 浙江工业大学, 2020.
[9] 陈霖. 航空发动机整体叶盘机器人磨抛工艺与参数优化[D]: [硕士学位论文]. 武汉: 华中科技大学, 2020.
[10] Wang, G.L., et al. (2014) Development and Polishing Process of a Mobile Robot Finishing Large Mold Surface. Machining Science and Technology, 18, 603-625. [Google Scholar] [CrossRef
[11] Lee, H.S., Park, M.S., Kim, T., et al. (2006) Systematic Finishing of Dies and Moulds. International Journal of Machine Tools & Manufacture, 46, 1027-1034. [Google Scholar] [CrossRef
[12] Tsai, M.J. and Huang, J.F. (2006) Efficient Automatic Polishing Process with a New Compliant Abrasive Tool. The International Journal of Advanced Manufacturing Technology, 30, 9-10. [Google Scholar] [CrossRef