计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第6): 1474-1480.DOI: 10.13196/j.cims.2019.06.015

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面向切削过程的刀具数字孪生模型

孙惠斌,潘军林,张纪铎,莫蓉+   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 出版日期:2019-06-30 发布日期:2019-06-30
  • 基金资助:
    国家自然科学基金资助项目(51875475);陕西省重点研发计划资助项目(2018ZDXM-GY-068)。

Digital twin model for cutting tools in machining process

  • Online:2019-06-30 Published:2019-06-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51875475),and the Natural Science Basic Research Plan in Shaanxi Province,China(No.2018ZDXM-GY-068).

摘要: 刀具磨损状态退化建模和仿真的结果难以真实地反映物理现实,使刀具的选用、更换和修磨决策缺乏可靠依据,严重地影响了刀具精准利用的优化和控制,以及生产系统的动态调控。针对该问题,在数字孪生理念的基础上,提出面向切削过程的刀具数字孪生模型,探讨了其概念、组成、功能和运作流程,详细论述了数字孪生驱动的刀具磨损监测、剩余寿命预测、刀具选用决策和刀具服务,并通过原型系统进行了验证。通过刀具物理对象与虚拟模型的交互与共融,面向切削过程的刀具数字孪生模型可提高刀具全生命周期状态管理的智能性、主动性、预测性,支持面向刀具精准利用的优化、决策和服务。

关键词: 数字孪生, 刀具, 切削过程, 磨损监测, 剩余寿命预测, 刀具选用决策, 刀具服务

Abstract: As the teeth of CNC machine tools,cutting tools are of great importance to machining efficiency,quality,cost and energy consumption.Precise usage of cutting tools is believed to improve economic,environmental and social benefits greatly.However,the problem that the physical cutting tool was difficult to be reacted by modelling and simulation of its degradation process made the cutting tool usage,replacement and sharpening lack of reliable support,which affected optimization and control for precise usage of cutting tools and dynamic adjustment of machining system.Based on the concept of digital twin,a digital twin model for cutting tools in machining process was proposed,and its concept,structure,function and running procedure were investigated in detail.Digital twin-driven cutting tool wear condition monitoring,remaining useful life prediction,cutting tool selection decision-making and cutting service were also addressed deeply.A prototype was developed to illustrate and validate the model.Through interaction and fusion of physical cutting tools and virtual models,the digital twin model for cutting tools in machining process enabled an intelligent,proactive and predictive cutting tool management mode to support optimization,decision-making and service.

Key words: digital twin, cutting tools, machining process, condition monitoring, remaining useful life prediction, cutting tool selection decision-making, cutting tool service

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