International Journal of Scientific and Research Publications

IJSRP, Volume 2, Issue 11, November 2012 Edition [ISSN 2250-3153]


Regression Analysis and Optimization of Material Removal Rate on Electric Discharge Machine for EN-19 alloy steel
      Manish Vishwakarma, Vishal Parashar, V.K.Khare
Abstract: In this paper illustration of the influence of input machining parameters on the material removal rate are determined along with performance measurement analysis. Experimentation was conducted on EN-19 alloy steel with Tungsten Copper as tool electrode. The data collected during experimentation has been used to yield responses in respect of material removal rate (MRR). The objective of this paper is to study the influence of operating input parameters of copper electrode on material removal rate of EN-19 material followed by optimization. The effectiveness of EDM process with tungsten copper electrode is evaluated in terms of the material removal rate. In this work the parameters such peak current, voltage gap, pulse on time, duty cycle and flushing pressure were selected. Analysis is carried using the response surface method and Anova analysis.

Reference this Research Paper (copy & paste below code):

Manish Vishwakarma, Vishal Parashar, V.K.Khare (2018); Regression Analysis and Optimization of Material Removal Rate on Electric Discharge Machine for EN-19 alloy steel ; Int J Sci Res Publ 2(11) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1112.php?rp=P11364
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