OPTIMIZINGON SURFACE ROUGHNESS AND MATERIALS RATE FOR MILLING SKD61 HARDENING STEEL WITH TAGUCHI METHODS AND RESPONSE SURFACE METHODOLOGY

Do Anh Tuan; Nguyen Huu That

Do Anh Tuan Hung Yen University of Technology and Education
Nguyen Huu That Nha Trang University

Abstract

The paper presents optimization of process parameters on surface roughness (Ra) and material removal rate (MRR) during hardening of SKD61 steel milling using Taguchi method combined with surface response (RSM). The experiment was designed by Taguchi method, the Ra surface was measured by Mitutoyo Surftest SJ-400 machine and then analyzed by ANOVA to determine the influence of the input parameters on the output response. Multi-objective optimization is performed by surface response method for surface roughness (Ra) and material removal rate (MRR). Finally processing methods under optimal conditions is Ra = 0.293 μm. This result shows that the hardening method can replace the grinding process in the molding process.

References

Zhang, S., & Guo, Y. B. (2009). Taguchi Method based Process Space for Optimal Surface topography by Finish Hard Milling. Journal of manufacturing science and engineering, 131(5), 051003.

Davim, J. P. (Ed.). (2011). Machining of Hard Materials. Springer Science & Business Media.

Motorcu, A. R. (2010). The Optimization of Machining Parameters using the Taguchi Method for Surface Roughness of AISI 8660 Hardened Alloy Steel. Strojniški vestnik-Journal of Mechanical Engineering, 56(6), 391-401.

Ding, T., Zhang, S., Wang, Y., & Zhu, X. (2010). Empirical Models and Optimal Cutting Parameters for Cutting Forces and Surface Roughness in Hard Milling of AISI H13 Steel. The International Journal of Advanced Manufacturing Technology, 51(1-4), 45-55.

Aouici, H., Bouchelaghem, H., Yallese, M. A., Elbah, M., & Fnides, B. (2014). Machine Ability Investigation in Hard Turning of AISI D3 Cold Work Steel with Ceramic Tool using Response Surface Methodology. The International Journal of Advanced Manufacturing Technology, 73(9-12), 1775-1788.

Asiltürk, I., & Neşeli, S. (2012). Multi Response Optimisation of CNC Turning Parameters via Taguchi Method-based Response Surface Analysis. Measurement, 45(4), 785-794.

Myers RH; Montgomery DC (2002): Response Surface Methodology: Process and Product Optimization using Designed Experiments. Wiley, New York.

Aouici, H., Yallese, M. A., Chaoui, K., Mabrouki, T., & Rigal, J. F. (2012). Analysis of Surface Roughness and Cutting Force Components in Hard Turning with CBN Tool: Prediction Model and Cutting Conditions Optimization. Measurement, 45(3), 344-353.

Jeyakumar, S., Marimuthu, K., & Ramachandran, T. (2013). Prediction of Cutting Force, Tool Wear and Surface Roughness of Al6061/SiC Composite for End Milling Operations using RSM. Journal of Mechanical Science and Technology, 27(9), 2813-2822.

Fan, X., & Loftus, M. (2007). The Influence of Cutting Force on Surface Machining Quality. International Journal of Production Research, 45(4), 899-911.