Reduction of Design Variables for Automated Optimization of Injection Mold Cooling Circuit

사출금형 냉각회로 자동최적화를 위한 설계변수 감소 방안

  • Published : 2009.08.15

Abstract

The injection mold cooling circuit optimization was studied with a response surface method in the previous research. It took so much time to find an optimum solution for a large product due to an extensive amount of calculation time for the CAE analysis. In order to use the optimization technique in the actual design process, the calculation time should be much reduced. In this study, we tried to reduce the number of design variables with the concept of the close relationship between the depth and the distance of cooling channel. The optimum ratio of the distance to the depth of cooling channels for a 2-dimensional problem was 2.0 so that the optimum ratio was again sought out for 4 large automotive parts. Therefore, the number of design variables for the cooling circuit optimization can be reduced in half, resulting in much faster running time for the optimization as a design tool.

Keywords

References

  1. Zarkdas, D. M. and Xanthos, M., 2003, "Prediction of Cooling time in injection molding," Advances in Polymer Technology, Vol. 22, No.3, pp. 188-208.
  2. Menges, G., Michaeli, W., and Mohren, P., 2001, How to make injection molds, HANSER, Munich, German
  3. Liang, Ji-Zhao, 2002, "An Optimal Design of Cooling System for Injection Mold," Polymer-plastics Technology and Engineering, Vol. 41, No.2, pp. 261-271.
  4. Tang, Li Q., Constantin Chassapis, Souran Manoocheri, 1997, "Optimal cooling system for multi-cavity injection molding," Finite Elements in Analysis and Design, Vol. 26, pp. 229-251.
  5. Huang, Jinhua, Fadel, G. M., 2001, "Bi-Objective Optimization Design of Heterogeneous Injection Mold Cooling Systems," Journal of Mechanical Design, Vol. 123, pp. 226-239.
  6. Chang, H. K., 2008, A Study on automatic optimization of cooling circuit design in injection mold, M.S. Thesis, Ajou University, Republic of Korea.
  7. Chung, H. W., 2008, A Study of automated optimi- zation of injection-mold cooling-line design with predefined product temperature, M.S. Thesis, Ajou University, Republic of Korea.
  8. Montgomery, D. C, 2005, Design and Analysis of Experiments, John Wiley & Sons, Hoboken, NJ, U.S.A.