智能刀具研究综述

doi:10.3901/JME.2021.21.248

摘要/Abstract

摘要： 智能刀具根据加工中具体用途的不同，可实现对切削状态在线监测、数据处理、切削过程优化控制等功能，通过智能刀具的使用可改善加工过程，提高加工质量与效率，到目前为止学者们对于智能刀具的研究已取得大量研究成果。对智能刀具切削状态监测和切削过程控制两个方面的研究进展进行论述，梳理了学者们应用智能刀具对切削力、切削温度、刀具振动进行监测与控制的研究成果，对刀具结构、监测方式、控制原理、缺点不足、发展方向进行了总结与讨论。对智能刀具涉及的关键技术进行探讨，由于智能刀具涉及多学科交叉，实现的功能及采用的原理各不相同，关键技术多样，需进行多学科交叉融合，并通过产学研协同合作，推进智能刀具关键技术的深入研究及实际应用。

关键词: 智能刀具, 切削状态监测, 切削过程控制, 切削力, 切削温度, 刀具振动

Abstract: According to the different specific uses in the processing, the intelligent cutting tools can realize on-line monitoring, data processing, optimization control of cutting process and other functions. The use of intelligent cutting tools can improve the machining process, and improve the processing quality and efficiency. Up to now, a lot of research achievements have been made. The research progress of intelligent cutting tools in cutting state monitoring and cutting process control is discussed. The research results of monitoring and controlling cutting force, cutting temperature and tool vibration by using intelligent cutting tools are summarized. The structures, monitoring methods, control principles, shortcomings and development direction of the intelligent cutting tools are summarized and discussed. The key technologies involved in intelligent cutting tools are discussed. As intelligent cutting tools involve multidisciplinary crossing, their functions and principles are different, and their key technologies are diverse, it is necessary to carry out multidisciplinary cross fusion, and promote the in-depth research and practical application of key technologies of intelligent cutting tools through industry-university-research cooperation.

Key words: intelligent cutting tools, cutting condition monitoring, cutting process control, cutting force, cutting temperature, tool vibration

中图分类号:

TG71

刘强, 张海军, 刘献礼, 高大湧, 张明鉴. 智能刀具研究综述[J]. 机械工程学报, 2021, 57(21): 248-268.

LIU Qiang, ZHANG Haijun, LIU Xianli, GAO Dayong, ZHANG Mingjian. A Review of Research on Intelligent Cutting Tools[J]. Journal of Mechanical Engineering, 2021, 57(21): 248-268.

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