Intelligent Management and Control Technology of Cutting Tool Life-cycle for Intelligent Manufacturing

doi:10.3901/JME.2021.10.196

Abstract

Abstract: Intelligent manufacturing is the main direction of the future manufacturing industry, the high-end manufacturing equipments represented by aerospace and automobile fields are related to national defense security and national economic lifeline. The higher requirements for the management and control of cutting tools are put forward by complex and diversified machining of parts. As the most active and state-changing element in the cutting process, the performance of the tool directly affects the machining accuracy and productivity. The advent of the big data era has led to a change in the tool management paradigm, with manufacturers, suppliers and application companies demanding life-cycle data on tools. By analyzing the current situation of tool management and control, the design and manufacturing precision, the accuracy of life prediction and scientific tool management and control are issues that need to be addressed. The connotation and key technologies of the whole life-cycle intelligent management and control of tools are proposed, the research results of domestic and foreign scholars in tool design and manufacturing intelligent optimisation, tool cutting process condition monitoring and tool multi-source data management sharing are reviewed, and finally the future research directions are prospected in the light of the application of tool control technology. With the continuous deepening of intelligent manufacturing, the intelligent management and control of cutting tool life-cycle based on artificial intelligence, big data, digital twin, cloud computing and other modern information technology will certainly promote the transformation and upgrading of tool industry chain.

Key words: intelligent manufacturing, cutting tool, intelligent management and control, life-cycle, condition monitoring, big data

CLC Number:

TG506

LIU Xianli, LI Xuebing, DING Mingna, YUE Caixu, WANG Lihui, LIANG Yuesheng, ZHANG Bowen. Intelligent Management and Control Technology of Cutting Tool Life-cycle for Intelligent Manufacturing[J]. Journal of Mechanical Engineering, 2021, 57(10): 196-219.

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