Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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A Study on Injection Mold Design Using Approximation Optimization

근사 최적화 방법을 이용한 사출금형 설계에 관한 연구

  • Byon, Sung-Kwang (Department of Mechanical Engineering, Dongyang Mirae University) ;
  • Choi, Ha-Young (Department of Mechanical Engineering, Dongyang Mirae University)
  • 변성광 (동양미래대학교 기계공학부) ;
  • 최하영 (동양미래대학교 기계공학부)
  • Received : 2020.02.11
  • Accepted : 2020.03.08
  • Published : 2020.06.30
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Abstract

The injection molding technique is a processing method widely used for the production of plastic parts. In this study, the gate position, gate size, packing time, and melt temperature were optimized to minimize both the stress and deformation that occur during the injection molding process of medical suction device components. We used a central composite design and Latin hypercube sampling to acquire the data and adopted the response surface method as an approximation method. The efficiency of the optimization of the injection molding problem was determined by comparing the results of a genetic algorithm, sequential quadratic programming, and a non-dominant classification genetic algorithm.

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References

  1. Huang, M. C., Tai, C. C., “The effective factors in the warpage problem of an injection-molded part with a thin shell feature,” Journal of materials processing technology, Vol. 110, No. 1, pp. 1-9, 2001. https://doi.org/10.1016/S0924-0136(00)00649-X
  2. Ozcelik, B., Erzurumlu, T., “Determination of effecting dimensional parameters on warpage of thin shell plastic parts using integrated response surface method and genetic algorithm,” International communications in heat and mass transfer, Vol. 32, No. 8, pp. 1085-1094, 2005. https://doi.org/10.1016/j.icheatmasstransfer.2004.10.032
  3. Park, J. C., Kim, K. M., Yin, J. J. and Lee, J. H., "Molding Design Factors Optimization for Maximizing Shrinkage Uniformity of Injection Molded Part using Design of Experiments," Journal of the Korean Society of Manufacturing Process Engineer, Vol. 10, No. 6, pp. 70-76, 2011.
  4. Park, S. H., Design of Experiments, Minyoung-Sa, Korea., 2009.
  5. McKay, M. D., Beckman, R. J. and Conover, W. J., "Comparison of Three Methods for Selecting Values of Input Variables in The Analysis of Output from a Computer Code," Technometrics, Vol. 21, pp. 239-245, 1979. https://doi.org/10.1080/00401706.1979.10489755
  6. Hong, K. J., Jeon, K. K., Cho. Y. S., Choi, D. H. and Lee, S. J., "A Study on the Construction of Response Surface for Design Optimization," Trans. of the KSME(A), Vol. 24, No. 6, pp. 1408-1418, 2000.
  7. Fletcher, R., "Practical methods of optimization," John Wiley and Sons, 2013.
  8. Arora, J., Introduction to Optimum Design, 2nd Ed., Academic Press, 2004.
  9. Holland, J. H., Adaptation in Nstural and Artificial Systems, University of Michigan Press, Michigan, 1975.
  10. Cardei, M. and Wu, J., “Energy-Efficieant Coverage Problem in Wireless Ad Hoc Sensor Networks,” Computer Communications, Vol. 29, No. 4, pp. 413-420, 2006. https://doi.org/10.1016/j.comcom.2004.12.025
  11. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T., “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182-197, 2002. https://doi.org/10.1109/4235.996017
  12. Lee, S. M., Injection Mold Design, Gijeon Publication, pp.301-312, 2009.
  13. Roh, H. G., Jung, J, S. and Hwang, G. S., Injection Molding and Product Design, Kyobo Publication, pp. 195-207, 2006.