Selection of optimal process parameters in machining Aerospace Material by Wire Electric Discharge machining process |
Author(s): |
| Sarvesh Shivanand Rane , Dayananda Sagar College of Engineering; Dr. C.P.S. PRAKASH, Dayananda Sagar College of Engineering |
Keywords: |
| Artificial Neural Network, WEDM, MRR, Ra, ANOVA, Taguchi Orthogonal Array |
Abstract |
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The objective of the present study is to investigate the optimal process parameters of Electric Discharge Machining (EDM) on Inconel 800 alloy material with molybdenum as a tool electrode. The input parameters considered were voltage, pulse on time, pulse off time, current and bed speed for the experimental work and their effect on Material Removal Rate (MRR) and Surface Roughness (Ra) while machining Inconel 800 in Wire Electric Discharge Machining (WEDM). The effect of various process parameters on machining performance is investigated in this study. Taguchi method is used to formulate the experiment and L18 orthogonal array is selected for the experimentation. ANOVA is used to analyze the effect of input process parameters on the machining characteristics. To predict the machining characteristics using Artificial Neural Network (ANN) is used and were later compared with the experimental results. The results of the present work reveal that proper selection of input parameters play a significant role while machining with EDM. |
Other Details |
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Paper ID: IJSRDV3I90659 Published in: Volume : 3, Issue : 9 Publication Date: 01/12/2015 Page(s): 1025-1030 |
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