标题:Multi-scale topography analysis of multi-axis machined surfaces based on dual-tree complex wavelet transform
作者:Qin, Wen Zhen ;Zhao, Jun ;Huang, Wei Min ;Wang, Da We
作者机构:[Qin, Wen Zhen ;Zhao, Jun ;Huang, Wei Min ;Wang, Da We ] Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanic 更多
会议名称:19th International Symposium on Advances in Abrasive Technology, ISAAT 2016
会议日期:2 October 2016 through 5 October 2016
来源:Materials Science Forum
出版年:2016
卷:874
页码:351-356
DOI:10.4028/www.scientific.net/MSF.874.351
关键词:Cutter postures; Dual-tree complex wavelet; Multi-axis machining; Multi-scale analysis
摘要:Multi-axis ball end milling experiments of H13 die steel have been conducted with four different cutter postures, and the 3D topographies of machined surfaces are acquired by optical profiler. The multi-scale analysis is carried out on the machined surfaces based on 2D dual-tree complex wavelet transform (2D DT-CWT). The topographies are decomposed into different frequency bands, and the roughness in every frequency band is calculated. The results reveal that the roughnesses of the machined surfaces under different cutter postures are quite different, the roughness is the lowest when the lead angle is 12° and the tilt angle is -22°. The roughnesses under different cutter postures exhibit similar changing trend with the variation of frequency bands: the roughnesses in the high and low frequency bands are relatively lower, the roughnesses in the medium frequency bands are higher. The 2D DT-CWT provides an ideal comprehensive topography analysis method for performance evaluation of machined surfaces. © 2016 Trans Tech Publications, Switzerland.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991702130&doi=10.4028%2fwww.scientific.net%2fMSF.874.351&partnerID=40&md5=656404d6aa2ed605c0834eed0b61fda6
TOP