Papers by Author: H.S. Lu

Abstract: This paper presents an optimal cutting-parameter design of heavy cutting in side milling for SUS304 stainless steel. The orthogonal array with relational analysis is applied to optimize the side milling process with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used as a performance index to determine the optimal cutting parameters. The selected cutting parameters are cutting speed, feed per tooth, axial depth of cut, and radial depth of cut, while the considered performance characteristics are tool life and metal removal rate. Experimental results have shown that cutting performance in the side milling process for heavy cutting can be significantly improved through this approach.

Abstract: This paper presents a predicted model of surface roughness of radial relief for resharpening end-mill. This model is constructed using a polynomial network. The major factors affecting grinding parameters are considered to be wheel spindle speed, feedrate, and grinding depth of cut. Experiments under specified conditions are deliberately designed and conducted to obtain the corresponding tested data for surface roughness that are used for training data of the proposed polynomial network. Consequently, a predicted model for surface roughness is established. Furthermore, a computer program in VB language is written based on this model. It can quickly calculate predicted values of surface roughness by simply inputting required cutting parameters. According to the experimental results, the developed polynomial network model shows high predicting capability on surface roughness of radial relief, and possesses promising potential in the application of predicting surface roughness in resharpening end-mill operation.