面向智能制造的刀具全生命周期智能管控技术

doi:10.3901/JME.2021.10.196

机械工程学报 ›› 2021, Vol. 57 ›› Issue (10): 196-219.doi: 10.3901/JME.2021.10.196

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面向智能制造的刀具全生命周期智能管控技术

刘献礼¹, 李雪冰¹, 丁明娜¹, 岳彩旭¹, 王力翚², 梁月昇³, 张博闻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. 瑞典皇家理工学院生产工程系斯德哥尔摩 25175 瑞典;
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

收稿日期:2020-06-17 修回日期:2021-01-27 出版日期:2021-05-20 发布日期:2021-07-23
作者简介:刘献礼,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、数字化加工及智能制造技术。E-mail:Xianli.liu@hrbust.edu.cn;李雪冰,男,1989年出生,博士,讲师。主要研究方向为刀具全生命周期管控及智能制造技术。E-mail:lixuebing@hrbust.edu.cn
基金资助:
国家重点研发计划（2019YFB1704800）和国家自然科学基金国际（地区）合作与交流重点（51720105009）资助项目。

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

LIU Xianli¹, LI Xuebing¹, DING Mingna¹, YUE Caixu¹, WANG Lihui², LIANG Yuesheng³, ZHANG Bowen¹

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

Received:2020-06-17 Revised:2021-01-27 Online:2021-05-20 Published:2021-07-23

摘要/Abstract

摘要： 智能制造是未来制造业的主攻方向，以航空航天、汽车领域为代表的高端制造装备关乎国防安全和国家经济命脉。复杂多样化的零部件加工对刀具管控提出了更高的要求。刀具作为切削过程中最活跃、状态变化最多的要素，其性能直接影响加工精度和生产效率。大数据时代的到来引领刀具管理模式的变革，制造商、供应商、应用企业对刀具全生命周期数据的需求与日俱增。通过分析刀具管控现状可知，设计制造精准性、寿命预测准确性、刀具管控科学性是亟待解决的核心问题。提出刀具全生命周期智能管控的内涵及关键技术，综述国内外学者在刀具设计制造智能优化、刀具切削过程状态监测和刀具多源数据管理共享方面的研究成果，最后结合刀具管控技术的应用情况对未来的研究方向进行展望。随着智能制造的不断深入，以人工智能、大数据、数字孪生、云计算等现代信息技术为依托的刀具全生命周期智能管控技术，必将推动刀具产业链转型升级。

关键词: 智能制造, 刀具, 智能管控, 全生命周期, 状态监测, 大数据

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

中图分类号:

TG506

刘献礼, 李雪冰, 丁明娜, 岳彩旭, 王力翚, 梁月昇, 张博闻. 面向智能制造的刀具全生命周期智能管控技术[J]. 机械工程学报, 2021, 57(10): 196-219.

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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面向智能制造的刀具全生命周期智能管控技术

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

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