首页 | 本学科首页   官方微博 | 高级检索  
     


A numerical model of the EDM process considering the effect of multiple discharges
Authors:B Izquierdo  JA Sánchez  S Plaza  I Pombo  N Ortega
Affiliation:1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;2. Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipment and Control, Tsinghua University, Beijing 100084, China;1. School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, UK;2. Department of Precision Engineering, The University of Tokyo, Japan;1. Institute for Materials and Material Technologies, Pforzheim University, Pforzheim, Germany;2. Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany
Abstract:The electrical discharge machining (EDM) process is, by far, the most popular amongst the non-conventional machining processes. The technology is optimum for accurate machining of complex geometries in hard materials, as those required in the tooling industry. However, although a large number of EDM machines are sold every year, scientific knowledge of the process is still limited. The complex nature of the process involves simultaneous interaction of thermal, mechanical, chemical and electrical phenomena, which makes process modelling very difficult. In this paper a new contribution to the simulation and modelling of the EDM process is presented. Temperature fields within the workpiece generated by the superposition of multiple discharges, as it happens during an actual EDM operation, are numerically calculated using a finite difference schema. The characteristics of the discharge for a given operation, namely energy transferred onto the workpiece, diameter of the discharge channel and material removal efficiency can be estimated using inverse identification from the results of the numerical model. The model has been validated through industrial EDM tests, showing that it can efficiently predict material removal rate and surface roughness with errors below 6%.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号