Optimization of Process Parameters in Electro-Discharge Machining using Taguchi Method
Author(s):
Anbesh Jamwal , SRM UNIVERSITY; Ravi Pandey, SRM UNIVERSITY; Shivam Goyal, SRM UNIVERSITY
Keywords:
Electric discharge machining, AISI18 steel work-piece, copper electrode, Current, Voltage, Pulse on time, Taguchi L9 orthogonal array, Miinitab-17, S/N ratio, Surface Roughness (Ra), Material Removal Rate(MRR), Tool Wear Rate(TWR)
Abstract:
Electric discharge machining is the essential non-traditional machining process. Basically the EDM is mainly used for the hard metals or those materials which are difficult to machine by some other traditional processes. The electric discharge machining process based upon the thermo electric energy between the workpiece and electrode. In this the material removal is occurred electro thermally by a series of successive discharges that are between the electrode and workpiece. With the help of optimization techniques we can attain the best manufacturing environment, which is an essential need for industries to improve the manufacturing qualities of products at the lower cost. This research paper aims to investigate the optimal set of process parameters such as pulse on time, voltage, current in the Electric discharge machining process to achieve results like higher material removal rate, better surface finish and lesser tool wear rate. The experiment is done on the Mild steel AISI18 work piece and the electrode taken is of copper. Taguchi method is used to get the optimized result. Graphs and response table are used to find the optimal levels of the parameters in the Electric discharge machining. The result revealed that the current, voltage & pulse on time have a great influence on the MRR, TWR and surface roughness. At higher value of Voltage, lower value of current & lower value of pulse on time we get the best optimal values of MRR, Ra & TWR.
Other Details:
Manuscript Id | : | IJSTEV2I10251
|
Published in | : | Volume : 2, Issue : 10
|
Publication Date | : | 01/05/2016
|
Page(s) | : | 1015-1020
|
Download Article