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Improve wire EDM performance at different mach_with_metadata_with_metadata.pdf (2.56 MB)

Improve wire EDM performance at different machining parameters - ANFIS modeling

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journal contribution
posted on 2016-02-05, 14:02 authored by Ibrahem MaherIbrahem Maher, Ling, Liew Hui, Sarhan, Ahmed A. D., Hamdi, M.
This study presents an experimental investigation of wire electric discharge machining (WEDM) for improving the process performance. The effects of the machining parameters were investigated on the machining performance. Adaptive neuro-fuzzy inference system (ANFIS) was applied to determine the effect of significant parameters on WEDM performance. In addition, ANFIS was used to predict the cutting speed, surface roughness and heat affected zone in WEDM. The predicted cutting speed, surface roughness, and heat affected zone were compared with measured data, and the average prediction error for cutting speed, surface roughness, and heat affected zone were 3.41, 3.89, and 4.1 respectively.

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