论文信息 - Surface Roughness Prediction Model of 6061-T6 Aluminium Alloy Machining Using Statistical Method

Surface Roughness Prediction Model of 6061-T6 Aluminium Alloy Machining Using Statistical Method

This paper explores on the optimization of the surface roughness of milling mould 6061-T6 aluminium alloys with carbide coated inserts. Optimization of the milling is very important to reduce the cost and time for machining mould. The purposes of this study are to develop the predicting model of surface roughness, to investigate the most dominant variables among the cutting speed, feed rate, axial depth and radial depth and to optimize

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