智能制造刀具管理系统及刀具剩余寿命监测功能开发  

Development of Intelligent Manufacturing Tool Management System and Monitoring Function of Tool Residual Life

作　　者：马晓帆 姚斌 陈彬强 王建军[2] 王维龙 MA Xiaofan;YAO Bin;CHEN Binqiang;WANG Jianjun;WANG Weilong(School of Aerospace Engineering,Xiamen University,Xiamen 361005,China;Yto Group Corpation,Luoyang 471003,China;Xiamen RunTop IOT Tech Co.,Ltd.,Xiamen 361005,China)

机构地区：[1]厦门大学航空航天学院,厦门361005 [2]中国一拖集团有限公司,洛阳471003 [3]厦门嵘拓物联科技有限公司,厦门361005

出　　处：《航空制造技术》2018年第18期68-73,共6页Aeronautical Manufacturing Technology

基　　金：2016年工信部智能制造综合标准化与新模式应用项目(工信部联装[2016]213号);国家自然科学基金项目(51605403);福建省产业技术联合创新专项(闽发改投资[2016]482号)

摘　　要：伴随智能制造技术的深入推进,刀具管理系统的功能根据用户业务需求在不断拓展。针对工艺设计后的刀具选购、使用直至报废等环节,基于"刀具流"开发了一款智能制造刀具管理系统,更精确地实现了刀具使用过程的数字化、网络化、智能化和可视化全生命周期管理。鉴于目前刀具状态监测技术的复杂和可靠性低等问题,在工程应用上提出了一种基于被加工工件表面粗糙度间接预测刀具剩余寿命的方法。整个系统在现场得到了良好应用。With the development of intelligent manufacturing industry, the function of tool management system is steadily broadened for diversified demands of customers. Aiming at taking the entire chain of cutting tool after process design, which incorporates selection, purchasing, usage and scrape, into consideration, this paper presents an intelligent manufacturing tool management system （IMTMS） for cutting tool-flow monitoring, and achieves of advantages of digitization, networking, intelligence and visualization for whole life-cycle management of cutting tool. In view of the complexity and low reliability of current available tool condition monitoring technologies, an indirect tool residual life prediction methodology is proposed based on the surface roughness of the workpiece in engineering applications. The IMTMS has been demonstrated of good performance by insitu tests.

关 键 词：智能制造刀具管理系统 刀具流 刀具剩余寿命预测 在线监测 可视化 

分 类 号：V260.6[航空宇航科学与技术—航空宇航制造工程]