다구찌 방법을 이용한 밀스케일 재활용에 대한 공정변수의 최적화

Optimization of Process Parameters for Mill Scale Recycling Using Taguchi Method

  • 백석흠 (동아대학교 대학원 기계공학과) ;
  • 주원식 (동아대학교 기계공학과) ;
  • 김창기 ((주)동아 이엔씨) ;
  • 정유엽 ((주)동아 이엔씨) ;
  • 신상운 (양산대학 전기전자기계) ;
  • 홍순혁 (부경대학교 산업과학기술연구소)
  • 발행 : 2008.02.01

초록

With society focusing more and more on environmental issues, the recycling of materials of all types has become an important concern. In this paper, optimization method is developed for reducing cost and improving quality in mill scale recycling. An experimental investigation into the process parameter effects is presented to determine the optimum configuration of parameters for performance, quality and cost. Taguchi's optimization approach was used to obtain the optimal parameters. The significant parameters were identified and their effects on mill scale recycling were studied. As a results, a confirmation experiment with the optimal levels of process parameters was carried out in order to demonstrate the effectiveness of the Taguchi method.

키워드

참고문헌

  1. Teng, S. C., Chien, Y. T. and Ko, Y. C., 'Effect of Forms of B$_{2}$O$_{3}$-SiO$_{2}$ as An Additive on Magnetic Properties of SrFe$_{12}$O$_{19}$ Ferrites,' J. Materials Science, Vol. 27, No. 10, pp. 2665-2669, 1992 https://doi.org/10.1007/BF00540687
  2. Yoon, J. K. and Shin, J. D., 'Introduction to Ferrous Metallurgy,' Daewoong Publishing, pp. 611-619, 2004
  3. Phadke, M. S., 'Quality Engineering Using Robust Deisgn,' Prentice Hall, Englewood Cliffs, 1989
  4. Peace, G. S., 'Taguchi Methods,' Addison-Wesley Publishing Company, 1993
  5. Rao, C. R., 'Factorial Experiments Derivable from Combinatorial Arrangements of Arrays,' Journal of Royal Statistical Society, Series B, Vol. 9, No. 1, pp. 128-139, 1954
  6. Yokoyama, Y. and Taguchi, G., 'Business Data Analysis: Experimental Regression Analysis,' Maruzen, 1975
  7. Sundaresan, S., Ishii, K. and Houser, D. R., 'Procedure using Manufacturing Variance to Design Gears with Minimum Transmission Error,' ASME J. Mech. Des., Vol. 113, No. 3, pp. 318-324, 1991 https://doi.org/10.1115/1.2912785
  8. Otto, K. N. and Antonsson, E. K. 'Extensions to the Taguchi Method of Product Design,' ASME J. Mech. Des., Vol. 115, No. 1, pp. 5-13, 1993 https://doi.org/10.1115/1.2919325
  9. Ku, K. J., Rao, S. S. and Chen, L., 'Taguchi-Aided Search Method for Design Optimization of Engineering Systems,' Engineering Optimization, Vol. 30, No. 1, pp. 1-24, 1998 https://doi.org/10.1080/03052159808941235
  10. Park, G. J., 'A Design Methodology with Orthogonal Arrays Using Experiments and Computer Simulations,' Trans. of the KSME (A), Vol. 28, No. 7, pp. 885-895, 2004 https://doi.org/10.3795/KSME-A.2004.28.7.885
  11. Ramsey, F. L. and Schafer, D. W., 'The Statistical Sleuth: A Course in Methods of Data Analysis, Second Edition,' Duxbury Press, pp. 10-234, 2001
  12. Godolphin, J. D., 'Reducing the Impact of Missing Values in Factorial Experiments Arranged in Blocks,' Quality and Reliability Engineering International, Vol. 22, No. 6, pp. 669-682, 2006 https://doi.org/10.1002/qre.804
  13. Ceylan, Z. and Trabia, M., 'Optimization of the Closure-Weld Region of Cylindrical Containers for Long-Term Corrosion Resistance Using the Successive Heuristic Quadratic Approximation Technique,' ASME J. Mech. Des., Vol. 125, No. 3, pp. 533-539, 2003 https://doi.org/10.1115/1.1565082
  14. Gautschi, W., 'Orthogonal Polynomials: Application and Computations, Acta Numerica,' Oxford University Press, pp. 45-119, 1996
  15. Kashiwamura, T., Shiratori, M., Yu, Q. and Kohda, I., 'Structural Optimization Using the Design of Experiments and Mathematical Programming,' Trans. of the JSME (A), Vol. 62, No. 601, pp. 2180-2185, 1996
  16. Baek, S. H., Hong, S. H., Cho, S. S. and Joo, W. S., 'Multi-objective Optimization in Discrete Design Space using RSM-Based Approximation Method,' The Third China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems (CJK-OSM3), pp. 125-130, 2004
  17. Baek, S. H., Cho, S. S., Kim, H. S. and Joo, W. S., 'Tarde-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials,' Journal of Mechanical Science and Technology, Vol. 20, No. 3, pp. 366-375, 2006 https://doi.org/10.1007/BF02917519
  18. Lenth, R. V., 'Quick and Easy Analysis of Unreplicated Factorials,' Technometrics, Vol. 31, pp. 469-473, 1989 https://doi.org/10.2307/1269997
  19. Minitab, 'MINITAB User's Guide #2: Data Analysis and Quality Tools,' Minitab Inc., 2000
  20. Baek, N. K. and Kim, D. E., 'Optimization of Laser Lithography Micropatterning Technique Based on Taguchi Method,' J. KSPE, Vol. 19, No. 7, pp. 59-63, 2002