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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:校长、党委副书记
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
电子邮箱:jzyxy@dlut.edu.cn
Material removal with constant depth in CNC laser milling based on adaptive control of laser fluence
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论文类型:期刊论文
发表时间:2015-03-01
发表刊物:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
收录刊物:SCIE、EI、Scopus
卷号:77
期号:5-8
页面范围:797-806
ISSN号:0268-3768
关键字:CNC laser milling; Machining tool; Adaptive control; Laser milling model
摘要:Computer numerical control CNC laser milling is an innovative technology to produce precision parts in micron and even nanometer scale. However, due to the restriction of dynamic performance of the machine tool, the preset feed rate cannot be reached immediately, and the actual feed rate is unpredictable when the part with rapidly varied geometric feature is machined. At this moment, the incident laser energy is still the default value, so the feed rate below the target value will cause excessive accumulation of laser fluence into the workpiece surface, eventually leading to an inhomogeneous milling depth and developing the excessive heat affect zone (HAZ). Aiming at the problem in CNC laser milling of the parts with rapidly varied geometric feature in this study, a method of real-time adaptive control of laser fluence according to actual feed rate was proposed. Firstly, a prediction model of laser milling depth was established. Then, based on the model and small amount of preliminary trials, laser fluence required at arbitrary feed rate was obtained to realize the material removal with constant depth. Furthermore, the adaptive control technology of laser fluence on the basis of actual feed rate was investigated. By monitoring the actual feed rate of the machine tool and regulating the laser fluence with it, the machining depth of the parts with rapidly varied geometric feature by CNC laser milling can remain constant. CNC laser milling experiments conducted in this paper demonstrate the feasibility and veracity of the adaptive control strategy.