A Parametric Design Study of End Milling Operation using Grey Based Taguchi Method
نویسندگان
چکیده
This paper presents the multiple response optimization of end milling parameter using grey based taguchi method. Experiments were designed and conducted based on L27 orthogonal array design The milling parameter were spindle speed, depth of cut, feed rate and pressurized coolant jet and the response was surface roughness. EN31, high carbon alloy steel which achieves a high degree of hardness and compressive strength and abrasion résistance. The present work is focused to study the effect of process parameter such as speed, feed rate, and depth of cut, pressurized coolant jet on surface roughness in end milling of EN31 steel. Surface roughness values were recorded for each experiment. The feed rate was identified as the most influential process parameter on surface roughness. The results obtained by Grey relational method were compared with that of the optimal condition obtained. Keywords—ANOVA, End milling, Grey Relational analysis, Taguchi method, surface roughness
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