The research aims to optimize the surface roughness, material removal rate (MRR), tool wear, and spark gap for input machining parameters such as Pulse on-off time and wire feed rate. The experiment results of WEDM of Duplex stainless steel are optimized by ANOVA and Response surface methodology (RSM) approach. Taguchi’s orthogonal array L9 (3*3) was used to design the test condition for the experiment. After the model validation, ANOVA was used to identify the most significant input factor on the output. Response surface methodology was used to find the ideal cutting conditions which produce the best-desired output in terms of less tool wear, lower surface roughness, lower spark gap, and higher material removal rate. The optimal MRR, Spark Gap, surface roughness, and tool wear parameters for Duplex Stainless Steel are obtained at Pulse on 110.23, Pulse off time of 56.0, and a wire feed rate of 1.0. The proposed RSM model is significant and suited for all machining conditions due to the increased R2 value. The experiments show that the suggested approach in this study increases the machining performance of the WEDM process.
Investigation of Wire EDM Machining Parameters on Duplex Stainless Steel Using ANOVA and RSM
Sae Technical Papers
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility ; 2022
2022-12-23
Aufsatz (Konferenz)
Englisch
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