Improve wire EDM performance at different machining parameters - ANFIS modeling
作者： Ibrahem Maher , Liew Hui Ling , Ahmed A.D. Sarhan , M. Hamdi
DOI: 10.1016/J.IFACOL.2015.05.109
关键词:
摘要: Abstract This study presents an experimental investigation of wire electric discharge machining (WEDM) for improving the process performance. The effects parameters were investigated on Adaptive neuro-fuzzy inference system (ANFIS) was applied to determine effect significant WEDM In addition, ANFIS used predict cutting speed, surface roughness and heat affected zone in WEDM. predicted roughness, compared with measured data, average prediction error 3.41, 3.89, 4.1 respectively.
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