标题:Modeling of surface topography based on relationship between feed per tooth and radial depth of cut in ball-end milling of AISI H13 steel
作者:Zhang, Qing; Zhang, Song; Shi, Wenhao
作者机构:[Zhang, Qing; Zhang, Song; Shi, Wenhao] Shandong Univ, Sch Mech Engn, Jinan 250061, Shandong, Peoples R China.; [Zhang, Qing; Zhang, Song; Shi, Wenh 更多
通讯作者:Zhang, Song
通讯作者地址:[Zhang, S]Shandong Univ, Sch Mech Engn, Jinan 250061, Shandong, Peoples R China;[Zhang, S]Shandong Univ, Key Lab High Efficiency & Clean Mech Manufact 更多
来源:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
出版年:2018
卷:95
期:9-12
页码:4199-4209
DOI:10.1007/s00170-017-1502-8
关键词:Surface topography; Surface roughness; Ball-end milling; Product and; ratio of feed per tooth and radial depth of cut; Material removal rate
摘要:Machined surface topography and surface roughness are significant factors that directly affect the service performance of the material. A simulation of surface topography in ball-end milling of AISI H13 steel is developed based on the relative motion between cutting tool and workpiece. The developed model was verified by milling experiment and can be used to simulate the machined surface topography accurately. In order to optimize the surface roughness by taking material removal rate (MRR) into account, a simulation trial is conducted by employing the product value (p) and ratio (r) of feed per tooth f (z) and radial depth of cut a (e) based on the developed model. The effect of r and p on three dimensional (3D) arithmetic average deviation S (ba) has been investigated. An optimizing model for S (ba) with regard to p and r is developed. For a given value of p, which means for constant MRR, the value of r for minimum S (ba) can be calculated. The validation of the optimizing model was conducted by experiment, and the model was proved to be able to precisely predict S (ba) within the range of cutting parameters in this research.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040045355&doi=10.1007%2fs00170-017-1502-8&partnerID=40&md5=8b3fec7922a3a184adbc490db80ae830
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