공구재종에 따른 엔드밀 가공의 절삭력에 관한 통계적해석

Statistical Analysis of Cutting Force for End Milling with Different Cutting Tool Materials

  • 최만성 (한국기술교육대학교 메카트로닉스공학부)
  • Choi, Man Sung (School of Mechatronics Engineering, Korea University of Technology and Education)
  • 투고 : 2016.12.13
  • 심사 : 2016.12.23
  • 발행 : 2016.12.31

초록

End milling is an important and common machining operation because of its versatility and capability to produce various profiles and curved surfaces. This paper presents an experimental study of the cutting force variations in the end milling of SM25C with HSS(high speed steel) and carbide tool. This paper involves a study of the Taguchi design application to optimize cutting force in a end milling operation. The Taguchi design is an efficient and effective experimental method in which a response variable can be optimized, given various control and noise factors, using fewer resources than a factorial design. This study included feed rate, spindle speed and depth of cut as control factors, and the noise factors were different cutting tool in the same specification. An orthogonal array of $L_9(3^3)$ of ANOVA analyses were carried out to identify the significant factors affecting cutting force, and the optimal cutting combination was determined by seeking the best cutting force and signal-to-noise ratio. Finally, confirmation tests verified that the Taguchi design was successful in optimizing end milling parameters for cutting force.

키워드

참고문헌

  1. Ghani, J.A., Choudhury, I.A., Hassan, H.H., "Application of Taguchi Method in the Optimization of End Milling," J. Mater. Process. Tech. Vol. 145(1) pp. 84-92, 2004.
  2. Lin, T. R., "Experimental Design and Performance Analysis of Tin -Coated Carbide Tool in Face Milling Stainless Steel," J. Mater., Process. Technology. 5654, pp. 1-7, 2002.
  3. Fuh, K.H., Wu, C.F., "A Proposed Statistical Model for Surface Quality Prediction in End-Milling of Al alloy," Int. J. Mach. Tool Manuf. Vol. 35(8), pp. 1187-1200, 1995. https://doi.org/10.1016/0890-6955(95)90408-E
  4. Tsai, Y.H., Chen, J.C., Lou, S.J., "In-process Surface Recognition System Based on Neural Networks in End Milling Cutting Operations," Int. J. Mach. Tool Manuf. Vol. 39(4) , pp. 583-605, 1999. https://doi.org/10.1016/S0890-6955(98)00053-4
  5. Bouzid, W., Zghal, A., "Taguchi Method for Design Optimization of Milled Surface Roughness," Mater. Technol. Vol. 19 (3), pp. 159-162, 2004. https://doi.org/10.1080/10667857.2004.11753079
  6. Ismail, F., Elbestawi, M.A., Du, R., Urbasik, K., "Generation of Milled Surfaces Including Tool Dynamic and Wear," J. Eng. Ind. T. ASME Vol. 115 (3) , pp. 245-252, 1993.
  7. Li, H.Z. Chen, X.Q., Zeng, H., "Flank Wear of Coated Carbide Inserts in the End Milling of Inconel 718," in: Proceedings of International Conference on Precision Engineering (IcoPE2003/04), Grand Hyatt, Singapore, March 2-5, pp. 203-209, 2004.
  8. Prickett, P.W. , Johns, C., "An Overview of Approaches to End Milling Tool Monitoring," Int. J. Mach. Tools Manuf. Vol. 39, 105-122, 1999. https://doi.org/10.1016/S0890-6955(98)00020-0