标题:Influence of tool size on machining characteristics of micro-EDM
作者:Wang, Kan; Zhang, Qinhe; Zhu, Guang; Huang, Yuhua; Zhang, Jianhua
通讯作者:Zhang, Qinhe
作者机构:[Wang, Kan; Zhang, Qinhe; Zhu, Guang; Huang, Yuhua; Zhang, Jianhua] Shandong Univ, Sch Mech Engn, Minist Educ, Key Lab High Efficiency & Clean Mech Mf 更多
会议名称:19th CIRP Conference on Electro Physical and Chemical Machining
会议日期:APR 23-27, 2017
来源:19TH CIRP CONFERENCE ON ELECTRO PHYSICAL AND CHEMICAL MACHINING
出版年:2018
卷:68
页码:604-609
DOI:10.1016/j.procir.2017.12.122
关键词:Micro electrical discharge machining; Stray capacitance; Characteristic;; Material removal rate; Overcut; Relative tool wear ratio
摘要:Electrical discharge machining (EDM) is an alternative processing method of conductive materials. Stray capacitance exists between the electric feeders, between the tool electrode holder and work table, between the tool electrode and workpiece. The energy stored in the stray capacitance cannot be neglected similarly to that in macro EDM due to the low discharge energy. It is necessary to research the capacitive effect to better apply micro-EDM. In this study, the influence of the tool electrode scale on micro-EDM performances was analyzed from the perspective of capacitive effect. The stray capacitance was calculated by using the charging waveforms. Experimental results elucidate that material removal rate (MRR), tool wear rate (TWR), and diametrical overcut (DOC) increased with the enlargement of tool size. When the tool diameter was greater than 500 mu m, the rate of increase in MRR was apparently higher than that of TWR, and the relative tool wear ratio (RTWR) exhibited a downward trend. This study benefits to better understand the capacitive effect and provides a reference for building the machining performance prediction model of micro-EDM. (C) 2018 The Authors. Published by Elsevier B.V.
收录类别:CPCI-S;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-s2.0-85049236629&doi=10.1016%2fj.procir.2017.12.122&partnerID=40&md5=095d54234062da3160ffe99280d0a8ea
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