An Analysis of Grinding Effects and Economic Life of Cutting Tool with Proportional Age Reduction Model

비례 수명 감소 모형을 사용한 절삭공구의 연마효과 및 경제적 수명 분석

  • Oh, Sung-Youl (Department of Industrial Engineering, Seoul National University) ;
  • Hong, Jung-Wan (Department of Industrial System Engineering, Hansung University) ;
  • Lee, Sang-Cheon (Division of Industrial Systems Engineering, ERI, Gyeongsang National University) ;
  • Lie, Chang-Hoon (Department of Industrial Engineering, Seoul National University)
  • 오숭열 (서울대학교 산업공학과) ;
  • 홍정완 (한성대학교 산업시스템공학과) ;
  • 이상천 (경상대학교 산업시스템공학부) ;
  • 이창훈 (서울대학교 산업공학과)
  • Received : 20060700
  • Accepted : 20061000
  • Published : 2006.12.31

Abstract

In this study, based on Weibull proportional age reduction model and age replacement policy, we analyze economic life of cutting tool which allows re-grinding. Re-grinding task, usually for high-priced machining tools(e.g., broaching tool), is a kind of preventive maintenance activities to extend tool life at the completion of a lot production. The numerical results are also presented. Among the parameters of Weibull proportional age reduction model, the re-grinding effect parameter and Weibull shape parameter have a strong effect on economic tool life, and in the cost parameters, shortage cost is most sensitive. With further study on the parameter estimation of tool life process and cost function, this study can be expected to give more practical contribution to management of general machining tools.

Keywords

References

  1. Bai, D. S.(1999), Statistical Quality Control,Yeongji Moonhwasa, Seoul, Korea
  2. Lee, H.W.(1998), Queueing Theory, Sigma Press, Seoul, Korea
  3. Lee, S. C., Kang, S. J., and Hong J. W.(2002), Life-Process Analysis of Broaching Tool, IE Interfaces, 15(1), 64-72
  4. Boothroyd, G.(1981), Fundamentals of Metal Machining and Machine Tools, McGraw-Hill Kogakusha, Ltd
  5. Brown, J. F., Mahoney, J. F., and Sivazlian, B. D.(1983), Hysteresis Repair in Discounted Replacement Problems, lIE Trans., 15(2), 156-165
  6. Chick and Mendel(1998), Using Wear Curves to Predict the Cost of Changes in Cutting Conditions, Trans., ASME, 120, 166-168 https://doi.org/10.1115/1.2830040
  7. Friedman, M. Y. and Tipnis, V. A.(1976), Cutting Rate-Tool Life Characteristic Functions for Metal Removal Processes-Part 1: Theory, ASME Journal of Engineering for lndustry, 98, 481-486 https://doi.org/10.1115/1.3438913
  8. Hiromi, K. et al.(1971), Reliability Analysis of Cutting Tools, ASME Journal of Engineering for lndustry, 73(4), 295-299
  9. Hough, C. L.(1986), Sufficient Conditions for Cutting Rate-Tool Life Characteristic Functions for Metal Removal Processes, ASME Joumal of Engineering for lndustry, 108, 235-237 https://doi.org/10.1115/1.3187071
  10. Koulamas, C.(1994), A Note on Incorporating Tool Life Variability in the Geometric Programming Formulation of Machining Economics Problems, Transactions, 26(4), 87-90
  11. Lee, G. W.(1997), Optimal Replacement Period of Tools Considering Degradation of Cutting Tools, Journal of Industrial Technology, Hong-Ik University, 11, 65-74
  12. Malik, M. A. K.(1979), Reliable Preventive Maintenance Scheduling, AIlE Trans., 11, 221-228 https://doi.org/10.1080/05695557908974463
  13. Ramalingam, S. and Watson, J. D.(1971), Tool-Life Distributions L Part 1, ASME Journal of Engineering for Industry, 101(4), 295-299 https://doi.org/10.1115/1.3439510
  14. Ramalingam, S.(1971), Tool-Life Distributions: Part 2, ASME. Journal of Engineering for Industry, 101(4), 295-299 https://doi.org/10.1115/1.3439510
  15. Talyor, F. W.(1906), on the Art of Cutting Metals, ASME, 28, 31-350
  16. Tipnis, V. A. and Friedman, M. Y. (1976), Cutting Rate-Tool Life Characteristic Functions for Metal Removal Processes-Part 2: Verifications and Applications Theory, ASME Journal of Engineering for Industry, 98(2), 487-496 https://doi.org/10.1115/1.3438915
  17. Wager, J. G. and Barash, M. M.(1971), Study for Distribution of the Life of HSS Tools, Trans. ASME, 4, 1044-1050
  18. Yang, M. S.(1997), Metal Machining(Theory and Applications), Chungmoongak, Seoul, Korea
  19. Yun, W. Y., Choung, S. J., Chung I. H., Kim J. W., and Jung S. W.(2000), Estimating Repair Effect and Parameters of Intensity Function under BMS Repair Model. Journal of the Korean Operations Research and Management Science Society, 25(4), 45-54
  20. Zhou, C. and Wysk, M. B.(1992), Tool Status Recording and Its Use in Probability Optimization, Trans. ASME, 114, 494-499 https://doi.org/10.1115/1.2911300