Response Surface Methodology Approach on Effect of Cutting Parameter on Tool Wear during End Milling of High Thermal Conductivity Steel -150 (HTCS-150)

2nd International Manufacturing Engineering Conference; 3rd Asia-Pacific Conference on Manufacturing Systems

Mohd Hadzley, A.B.^1 ; Wan Mohd Azahar, W.M.Y.^1 ; Izamshah, R.^1 ; Mohd Shahir, K.^1 ; Mohd Amran, A.^1 ; Anis Afuza, A.^1

Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka

76100, Malaysia^1

关键词: Cutting parameters;    Experimental conditions;    High thermal conductivity;    Independent variables;    Input factors;    Milling process;    Model accuracy;    Response surface methodology;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/114/1/012015/pdf
DOI  :  10.1088/1757-899X/114/1/012015

来源: IOP

【 摘 要 】

This paper presents a study of development the tool life's mathematical model during the milling process on High Thermal Conductivity Steel 150 (HTCS-150) 56 HRC. Using response surface methodology, the mathematical models for tool life have been developed in terms of cutting speed, feed rate and depth of cut. Box-Behnken techniques is a part of Response Surface Methodology (RSM) has been used to carry out the work plan to predict, the tool wear and generate the numerical equation in relation to independent variable parameters by Design Expert software. Dry milling experiments were conducted by using two levels of cutting speed, feed rate and depth of cut. In this study, the variable for the cutting speed, feed rate and depth of cut were in the range of 484-553 m/min, 0.31-0.36 mm/tooth, and 0.1-0.5 mm, width of cut is constantly 0.01mm per passes. The tool wear was measured using tool maker microscope. The effect of input factors that on the responds were identified by using mean of ANOVA. The responds of tool wear then simultaneously optimized. The validation of the test reveals the model accuracy 5% and low tool wear under same experimental condition.