切削加工颤振智能监控技术

doi:10.3901/JME.2020.24.001

机械工程学报 ›› 2020, Vol. 56 ›› Issue (24): 1-23.doi: 10.3901/JME.2020.24.001

• 仪器科学与技术 • 下一篇

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切削加工颤振智能监控技术

王志学^1,2, 刘献礼¹, 李茂月¹, LIANG S Y³, 王力翚⁴, 李玉强¹, 孟博洋¹

1. 哈尔滨理工大学先进制造智能化技术教育部重点实验室哈尔滨 150080;
2. 哈尔滨职业技术学院哈尔滨 150076;
3. 佐治亚理工学院乔治·W·伍德拉夫机械工程学院亚特兰大 30332 美国;
4. 瑞典皇家理工学院斯德哥尔摩 25175 瑞典

收稿日期:2019-12-24 修回日期:2020-06-30 出版日期:2020-12-20 发布日期:2021-02-05
通讯作者: 刘献礼(通信作者),男,1961年出生,教授,博士研究生导师。主要研究方向为金属切削理论及刀具技术、数字化加工技术。E-mail:xlliu@hrbust.edu.cn
作者简介:王志学,男,1989年出生,博士研究生。主要研究方向为信号处理、智能加工、开放式数控。E-mail:wzxyx126@126.com;李茂月,男,1981年出生,副教授,博士,硕士研究生导师。主要研究方向为智能加工、开放式数控、数控插补等。E-mail:lmy0500@163.com
基金资助:
国家自然科学基金国际（地区）合作与交流重点资助项目（51720105009）。

Intelligent Monitoring and Control Technology of Cutting Chatter

WANG Zhixue^1,2, LIU Xianli¹, LI Maoyue¹, LIANG S Y³, WANG Lihui⁴, LI Yuqiang¹, MENG Boyang¹

1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080;
2. Harbin Vocational & Technical College, Harbin 150076;
3. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta 30332, USA;
4. KTH Royal Institute of Technology, Stockholm 25175, Sweden

Received:2019-12-24 Revised:2020-06-30 Online:2020-12-20 Published:2021-02-05

摘要/Abstract

摘要： 切削加工颤振智能监控技术是智能机床中不可或缺的一部分，是智能加工的一个重要发展方向。它对于提高零件的加工精度与效率，增加企业的运营绩效具有重要的意义。以传感器的选择、特征提取、颤振识别和颤振抑制为主线，系统的综述了切削加工过程中颤振智能监控的研究进展。分析颤振信号的选择和时域、频域、时频域以及特征自适应智能提取的特征提取方法；分析神经网络、支持向量机、隐马尔科夫模型、混合模型和在线智能进化模型在颤振识别中的应用；着重分析基于主轴转速调整的颤振智能控制方法。在此基础上，对切削加工颤振智能监控的研究难点进行了分析，并总结了目前存在的问题。最后，对切削加工颤振智能监控技术今后的发展趋势进行了展望。

关键词: 切削加工颤振, 智能监控, 传感器选择, 特征提取, 颤振识别, 变主轴转速

Abstract: Intelligent monitoring and control technology of cutting chatter is an indispensable part of intelligent machine tools and an important development direction of intelligent machining. It is of great significance to improve machining accuracy and efficiency of parts and increase the operation performance of enterprises. Based on the main line of sensor selection, feature extraction, chatter recognition and chatter suppression, the research progress of intelligent monitoring and control of chatter in cutting process is systematically reviewed. The selection of chatter signal and the methods of feature extraction in time domain, frequency domain, time-frequency domain and feature adaptive intelligent extraction are analyzed. The application of neural network, support vector machine, hidden Markov model, hybrid model and online intelligent evolution mode in chatter recognition are analyzed. The intelligent control method of chatter based on spindle speed variation are emphatically analyzed. On this basis, the research difficulties are analyzed and the existing problems are summarized in intelligent monitoring and control technology of cutting chatter. Finally, the development trend of intelligent monitoring and control technology of cutting chatter is forecasted.

Key words: cutting chatter, intelligent monitoring and control, sensor selection, feature extraction, chatter recognition, spindle speed variation

中图分类号:

TP273

王志学, 刘献礼, 李茂月, LIANG S Y, 王力翚, 李玉强, 孟博洋. 切削加工颤振智能监控技术[J]. 机械工程学报, 2020, 56(24): 1-23.

WANG Zhixue, LIU Xianli, LI Maoyue, LIANG S Y, WANG Lihui, LI Yuqiang, MENG Boyang. Intelligent Monitoring and Control Technology of Cutting Chatter[J]. Journal of Mechanical Engineering, 2020, 56(24): 1-23.

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切削加工颤振智能监控技术

Intelligent Monitoring and Control Technology of Cutting Chatter

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