Development of Surface Roughness Prediction Model using Response Surface Methodology for End Milling of HTCS-150

  • A.B. Hadzley
  • W.M. Azahar
  • A.A. Anis
  • R. Izamshah
  • M. Amran
  • S. Kasim
  • S. Noorazizi


In the present study, a regression mathematical model has been developed to predict the surface roughness in end milling of High Thermal Conductivity Steel 150 (HTCS-150). A number of milling experiments were conducted using the Response Surface Methodology (RSM) approach using CNC variaxis machining centre. The cutting speeds (484-553 m/min), feed rates (0.31-0.36 mm/tooth) and depth of cut (0.1-0.5 mm) were selected as the control factors. Analysis of variance (ANOVA) was used to analyze the most significant control factors affecting the surface roughness. Box-behnken experimental design was employed to create a mathematical model. The results show that the mathematical modeling developed in this study able to predict the output values of the surface roughness for milling HTCS-150. Cutting speed appeared to be the most influencing parameter for fine surface roughness, followed by depth of cut and feed rate. The differences between measured and calculated values stated about 4 % error.


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How to Cite
Hadzley, A., Azahar, W., Anis, A., Izamshah, R., Amran, M., Kasim, S., & Noorazizi, S. (1). Development of Surface Roughness Prediction Model using Response Surface Methodology for End Milling of HTCS-150. Journal of Advanced Manufacturing Technology (JAMT), 12(1(1), 467-476. Retrieved from

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