机械工程学报 ›› 2021, Vol. 57 ›› Issue (10): 196-219.doi: 10.3901/JME.2021.10.196
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
收稿日期:
2020-06-17
修回日期:
2021-01-27
出版日期:
2021-07-23
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:
LIU Xianli1, LI Xuebing1, DING Mingna1, YUE Caixu1, WANG Lihui2, LIANG Yuesheng3, ZHANG Bowen1
Received:
2020-06-17
Revised:
2021-01-27
Online:
2021-07-23
Published:
2021-07-23
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。
中图分类号:
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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