Abstract
The current work focuses on multi-objective wire electrical discharge machining (WEDM) parameters optimization of Inconel 750 alloy. Taguchi L18 orthogonal array (OA) was used to carry the experiments in various WEDM parameters such as wire feed rate, pulse-on-time, pulse-off-time and water pressure. The output responses estimated are machining speed (cutting) and machined surface roughness of the part. Optimum machining parameters estimation is difficult in Taguchi process; a multi-objective optimization (MOO) technique known as TOPSIS is embedded with grey wolf optimizer (GWO). Initially, the multi-responses are converted to the relative closeness value, and then the heuristic approach is applied. Based on the optimal parametric setting value from GWO, a confirmation test has been conducted and compared with the fitness value.
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Kumar, G.V.A., Narasimhamu, K.L. (2020). Multi-objective Optimization in WEDM of Inconel 750 Alloy: Application of TOPSIS Embedded Grey Wolf Optimizer. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_22
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DOI: https://doi.org/10.1007/978-981-13-8196-6_22
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