刀具智能化关键技术的研究进展及发展趋势

doi:10.3901/JME.2023.23.265

机械工程学报 ›› 2023, Vol. 59 ›› Issue (23): 265-282.doi: 10.3901/JME.2023.23.265

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刀具智能化关键技术的研究进展及发展趋势

叶文昌^1,2, 郭必成^1,2, 邓朝晖^1,2, 王伟³, 邹伶俐⁴, 刘超⁵, 尹刚刚⁶, 姜峰^1,2

1. 华侨大学制造工程研究院厦门 361021;
2. 高性能工具全国重点实验室厦门 361021;
3. 电子科技大学机械与电气工程学院成都 611731;
4. 厦门金鹭特种合金有限公司厦门 361021;
5. 厦门钨业股份有限公司厦门 361009;
6. 奇石乐精密机械设备(上海)有限公司上海 201107

收稿日期:2022-12-17 修回日期:2023-07-18 发布日期:2024-02-20
通讯作者: 姜峰(通信作者)，男，1981年生，教授，博士研究生导师。主要研究方向为精密超精密加工技术、切削过程数值仿真技术、刀具设计技术。E-mail：jiangfeng@hqu.edu.cn
作者简介:叶文昌，男，1999年生。主要研究方向为刀具设计技术、数值仿真技术。E-mail：ywc13645003959@163.com
基金资助:
国家重点研发计划资助项目(2019YFB1704804)。

Advances in Key Technologies of the Intelligence Tool

YE Wenchang^1,2, GUO Bicheng^1,2, DENG Zhaohui^1,2, WANG Wei³, ZOU Lingli⁴, LIU Chao⁵, YIN Ganggang⁶, JIANG Feng^1,2

1. Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021;
2. State Key Laboratory of High Performance Tools, Xiamen 361021;
3. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731;
4. Xiamen Golden Egret Special Alloy Co., Ltd., Xiamen 361021;
5. Xiamen Tungsten Industry Co., Ltd., Xiamen 361009;
6. Kistler Precision Machinery (Shanghai) Co., Ltd., Shanghai 201107

Received:2022-12-17 Revised:2023-07-18 Published:2024-02-20

摘要/Abstract

摘要： 随着航空航天、医疗器械、汽车制造等领域的发展，零部件的制造越发复杂化和柔性化，对刀具智能化的需求也越来越强烈。相对于传统刀具，智能刀具融合了传感器、数据处理、数字孪生等现代技术，在机械加工中应用智能刀具对改善零件质量，提高生产效率，降低生产成本效果明显。智能刀具系统实现了从智能刀具结构设计、切削状态监测、刀具状态感知到加工反馈控制的全过程闭环管控。提出智能刀具的内涵以及使刀具智能化的多种关键技术，从刀具智能优化设计、切削状态监测、刀具状态感知、切削过程调控四个方面综述了刀具智能化关键技术的研究成果。最后总结了智能刀具系统在未来制造业中的应用前景，指出了实现刀具智能化亟待解决的问题和未来的发展方向。

关键词: 智能刀具, 数字孪生, 传感器技术, 状态监测, 反馈控制

Abstract: With the development of aerospace, medical devices, automobile manufacturing and other industrial fields, the manufacturing of complex parts is becoming more flexible, which pushes the cutting tools to be intelligent. Compared with traditional tools, intelligent cutting tools integrate sensor technology, data processing and digital twin. The application of intelligent cutting tools in the machining processes improves the part quality and production efficiency, while reduces the production cost. The definition of intelligent tool is proposed and related key technologies are presented. The research results of the key technologies of the intelligent tool are summarized from four aspects, including the optimization design of intelligent tool, the monitoring of cutting condition the perception of tool state and the control of cutting process. Finally, the application prospect of the intelligent cutting tool system in the future manufacturing processes is summarized, and the development direction of realizing tool intelligence are discussed.

Key words: intelligent cutting tool, digital twin, sensor, monitor, feedback control

中图分类号:

TG71

叶文昌, 郭必成, 邓朝晖, 王伟, 邹伶俐, 刘超, 尹刚刚, 姜峰. 刀具智能化关键技术的研究进展及发展趋势[J]. 机械工程学报, 2023, 59(23): 265-282.

YE Wenchang, GUO Bicheng, DENG Zhaohui, WANG Wei, ZOU Lingli, LIU Chao, YIN Ganggang, JIANG Feng. Advances in Key Technologies of the Intelligence Tool[J]. Journal of Mechanical Engineering, 2023, 59(23): 265-282.

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刀具智能化关键技术的研究进展及发展趋势

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