徐金亭

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:中国科学院沈阳自动化研究所

学位:博士

所在单位:机械工程学院

学科:车辆工程. 机械制造及其自动化

办公地点:综合实验2号楼423

电子邮箱:xujt@dlut.edu.cn

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Shape-adaptive CNC milling for complex contours on deformed thin-walled revolution surface parts

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论文类型:期刊论文

发表时间:2021-03-05

发表刊物:JOURNAL OF MANUFACTURING PROCESSES

卷号:59

页面范围:760-771

ISSN号:1526-6125

关键字:Adaptive CNC milling; Thin-walled parts; Revolution surface; On-machine measurement; Tool path adjustment; Contour milling

摘要:Thin-walled revolution surface parts are extensively used in various fields. Owing to their low rigidity, there is an inevitable deformation caused by the blank forming and clamping processes. This makes high-precision machining of parts with complex contours for industrial applications challenging. To solve this problem, a shape-adaptive milling method for complex contours on deformed parts is proposed. First, the real geometry of a deformed part is acquired by a developed contact-type on-machine measurement (OMM) system. Subsequently, an orthogonal arc-length mapping is mathematically proposed to establish a one-to-one correspondence between the nominal and real surfaces. The method of adjusting the tool path is based on this correspondence is discussed in detail, using which the nominal tool path can be adjusted to adapt automatically to the shape change of the real part. In addition, the methods of refining the tool path, such as eliminating the overcuts and undercuts and reorienting the cutter orientation, are also presented for achieving a good milling quality. Finally, the experiments of milling complex pattern contours on thin-walled bangles, which are typical revolution surface parts with low rigidity, are presented, and the simulation tests on a general revolution surface are also conducted. Experimental results illustrate that the proposed method can produce clear and complete contours on the deformed revolution surfaces.