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作 者:乔石 刘阔 都书博 王鹏飞[1] 王永青[1] QIAO Shi;LIU Kuo;DU Shubo;WANG Pengfei;WANG Yongqing(Dalian University of Technology,Dalian 116024,China;AECC Guizhou Liyang Aviation Power Co.,Ltd.,Guiyang 550000,China)
机构地区:[1]大连理工大学,大连116024 [2]中国航发贵州黎阳航空动力有限公司,贵阳550000
出 处:《航空制造技术》2021年第16期87-92,110,共7页Aeronautical Manufacturing Technology
基 金:辽宁省“兴辽英才计划”项目(XLYC1807081);辽宁省科技重大专项(2020JH1/10100016)。
摘 要:针对航空发动机叶片铣削加工过程中刀具加工状态不易实时监控、更换刀具依赖加工经验等问题,利用基于功率信息的刀具状态监测方法,开发了刀具状态监测系统。通过三相功率传感器实时采集加工过程中机床主轴的功率信号,并对信号数据进行数据筛选、数据分析、离线学习,计算出功率阈值区间,以功率阈值区间为监测标准,实现了对刀具加工过程的监测以及对刀具寿命的预测。以航空发动机压气机叶片的铣削加工过程为研究对象,进行了刀具状态监测试验。结果表明,基于功率信息的刀具状态监测方法可以实现对航空发动机叶片铣刀加工状态的实时监测及对刀具剩余寿命的预测。In view of the problems in the milling process of aero-engine blade,such as tool status is not easy to be observed and tool change depends on experience,a tool condition monitoring system is developed by using the tool status monitoring method based on power information.In the process of machining,the power signal of machine tool spindle is collected by three-phase power sensor in real time,and the signal data is filtered,analyzed and learned off-line,and the power threshold interval is calculated.The power threshold interval is used as the monitoring standard to realize the monitoring of tool machining process and the prediction of tool life.The milling process of aero-engine compressor blade is taken as the research object,and the tool condition monitoring test is carried out.The results show that through the tool condition monitoring method based on power information,the real-time monitoring of the machining condition for aeroengine blade milling tool and the prediction of the remaining life of the tool can be realized.
关 键 词:航空发动机叶片 主轴功率 离线学习 刀具状态监测 刀具寿命预测
分 类 号:V263[航空宇航科学与技术—航空宇航制造工程]
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