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Optimization of Process Parameters for Mill Scale Recycling Using Taguchi Method  

Baek, Seok-Heum (동아대학교 대학원 기계공학과)
Joo, Won-Sik (동아대학교 기계공학과)
Kim, Chang-Kee ((주)동아 이엔씨)
Jeong, Yu-Yeob ((주)동아 이엔씨)
Shin, Shang-Woon (양산대학 전기전자기계)
Hong, Soon-Hyeok (부경대학교 산업과학기술연구소)
Publication Information
Abstract
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.
Keywords
Optimization; Taguchi Method; Successive Approximation; Pareto Chart; Missing Value; Mill Scale;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Yoon, J. K. and Shin, J. D., 'Introduction to Ferrous Metallurgy,' Daewoong Publishing, pp. 611-619, 2004
2 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   DOI   ScienceOn
3 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   과학기술학회마을   DOI
4 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
5 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
6 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   DOI   ScienceOn
7 Yokoyama, Y. and Taguchi, G., 'Business Data Analysis: Experimental Regression Analysis,' Maruzen, 1975
8 Phadke, M. S., 'Quality Engineering Using Robust Deisgn,' Prentice Hall, Englewood Cliffs, 1989
9 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   DOI   ScienceOn
10 Lenth, R. V., 'Quick and Easy Analysis of Unreplicated Factorials,' Technometrics, Vol. 31, pp. 469-473, 1989   DOI
11 Gautschi, W., 'Orthogonal Polynomials: Application and Computations, Acta Numerica,' Oxford University Press, pp. 45-119, 1996
12 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
13 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   DOI   ScienceOn
14 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   DOI
15 Minitab, 'MINITAB User's Guide #2: Data Analysis and Quality Tools,' Minitab Inc., 2000
16 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
17 Peace, G. S., 'Taguchi Methods,' Addison-Wesley Publishing Company, 1993
18 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   과학기술학회마을   DOI
19 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
20 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   DOI   ScienceOn