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A New Hybrid Approach to Optimize the MRR and Tool Wear of EDM for Al/TiC Composites |
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PP: 2197-2205 |
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doi:10.18576/amis/100622
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Author(s) |
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S. Kannan,
K. Ramanathan,
A. Elango,
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Abstract |
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| Electro Discharge Machining (EDM) is extensively used to machine the ceramic composites and electrically conductive
materials but due to the abrasive reinforcement, the wear rate may get reduced. This work spotlights on optimizing the developed
mathematical models of the Metal Removal Rate (MRR) and Tool Wear Rate (TWR) in terms of machining parameters. The Response
Surface Methodology (RSM) (L31 empirical model) was used for conducting the basic trails with Al/TiC composites of various
compositions. The mechanical and physical properties of Al/TiC composites were analyzed and the SEMmorphology of the machined
samples was examined using FESEM. The models developed for predicting responses were tested by analysis of variance (ANOVA)
to evaluate its adequacy. The optimization of machining parameters was done by Genetic Algorithm (GA) to acquire minimum TWR
with maximum MRR. |
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