DOI QR코드

DOI QR Code

A Study on the Linear Compensation Method of Ideal Surface Roughness to Actual Roughness in Milling

밀링에서 기하학적 표면조도와 측정조도의 선형보정 방법에 관한 연구

  • Seo, Sang-Won (Department of Mechanical Engineering, Gyeongsang National University) ;
  • Kim, Dong-Hyeon (Department of Mechanical Engineering, Gyeongsang National University) ;
  • Kim, Su-Jin (Department of Mechanical Engineering, Gyeongsang National University)
  • Received : 2015.12.14
  • Accepted : 2016.02.28
  • Published : 2016.06.30

Abstract

In this study, a numeric model for the prediction of ideal surface roughness in the rounded end mill was derived from the shape of the tool and feed per tooth. The model is compared with the well-known model of a ball and flat end mill. The ideal surface roughness was matched to the actual surface roughness by the linear equation, from which the empirical constant should be gathered from the test machining systems in the industry.

Keywords

References

  1. Chin, D. H., Kim, J. D., and Yoon, M. C., "Surface Roughness Model of End-milling Surface", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 12, No. 2, pp. 68-74, 2013.
  2. Han, J. S., Jung J. Y., and Moon, D. H., "Surface Roughness for the Machining of Inclined Planes of Aluminum", Journal of the Society of Korea Industrial and System Engineering, Vol. 31, No. 2, pp. 11-18, 2008.
  3. Ozcelik, B., Bayramoglu, M., "The Statistical Modeling of Surface Roughness in High-speed Flat End Milling", International Journal of Machine Tools & Manufacture, Vol. 46, pp. 1395-1402, 2006. https://doi.org/10.1016/j.ijmachtools.2005.10.005
  4. Lou, M. S., Chen, J. C., and Li, C. M., "Surface Roughness Prediction Technique for CNC End-Milling", Journal of Industrial Technology, Vol. 15, No. 1, pp. 1-6, 1998.
  5. Kim, B. H. and Chu, C. N., "A Study Quantitative Analysis of Surface Roughness for Precision Machining of Sculptured Surface", Transactions of the Korean Society of Mechanical Engineers, Vol. 18, No. 6, pp. 1483-1495, 1994. https://doi.org/10.22634/KSME.1994.18.6.1483
  6. Jung, T. S., Nam, S. H., Park, J. H., and Yang, M. Y., "Analysis of Machined Surfaces by Ball-end Milling using the Ridge Method", Journal of the Korean Society for Precision Engineering, Vol. 21, No. 1, pp. 51-60, 2004.
  7. Seo, S. W., Kim, D. H., Kim, S. W., and Kim, S. J., "Development of Predictive Cutting Techniques for Virtual Production", KSMTE Annual Spring Conference, 2015.
  8. Seo, S. W. and Kim, S. J., "Development of Virtual Machining Software to be a Platform of Surface Quality Prediction Research", 15th International Conference on Metrology and Properties of Engineering Surfaces, USA, 2015.