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http://dx.doi.org/10.5228/KSPP.2006.15.5.347

An Application of CAE in the Optimization of Runner Size in Injection Molding  

Kim, June-Min (서울산업대학교 산업대학원)
Lyu, Min-Young (서울산업대학교 금형설계학과)
Publication Information
Transactions of Materials Processing / v.15, no.5, 2006 , pp. 347-353 More about this Journal
Abstract
The delivery system such as sprue, runner and gate is a waste of resin in injection molding operation. In this study the reduction of runner size has been investigated using injection molding CAE softwares, Moldflow and Moldex3D, and commercial CFD Softwares, Fluent and Polyflow. To verify the computational results experiment was performed. There were three considerations in deciding optimal runner size in this study: minimum pressure at the gate that makes resin fully filled in the cavity, minimum runner size that compensates shrinkage of resin in the cavity, and frozen layer thickness formed in the runner during injection. Through the computer simulations the optimal runner size that satisfies those three considerations has been decided. Although the computational results among the softwares were slightly different, it was enough to predict the optimal runner size. The previous runner diameter was 8 mm and predicted optimal size was 5 mm. This was verified by injection molding experiment. Thus, the way of CAE application in deciding optimal runner size adapted in this study would be appropriated.
Keywords
Injection Molding; CAE; Delivery System; Runner Size; Shrinkage; Frozen Layer Thickness;
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1 Zhou Zhen-Yong, Gu Zheng-Chao, Shi Jiao-Ying, 2000, Research on intergrated design techniques for injection mold runner system, Journal of Computer Aided Design & Computer Graphics, Vol. 12(1), pp. 6-10
2 C. S. Li, Y. K. Shen, 1995, Optimum design of runner system balancing in injection molding, (UK) International Communications in Heat and Mass Transfer, vol.22, pp. 179-188   DOI   ScienceOn
3 K. Alam, M. R. Kamal, 2004, Runner balancing by a direct genetic optimization shrinkage, Polymer Engineering and Science, vol.44, pp. 1949-1959   DOI   ScienceOn
4 R. K. Irani, B. H. Kim, J. R. Dixon, 1995, Towards automated design of the feed system of injection molds by intergrating CAE, iterative redesign and features, Transactions of the ASME., Journal of Engineering for industry, vol.117, pp. 72-77   DOI
5 Yuan Zhongshuang, Li Dequn, Chen Xing, Ye Xiangao, Gao Xianke, Xiao Jingrong, 1993, Interated CAD/CAE/CAM system for injection moulding, J. Computing & Control Engineering Journal, vol.4, pp. 277-279   DOI
6 S. M. Richardson, 1986, Injection moulding of thermoplastics: feezing of variable-viscosity fluids. I. Developing flows with very high heat generation, (West Germany) Rheologica Acta, vol.25(2), pp. 180-190   DOI
7 S. M. Richardson, 1985, Injection moulding of thermoplastics II. Freezing-off in Cavities, Rheol. Acta (West Germany) Rheologica Acta, vol.24(5), pp. 509-518
8 Moldex3D, Version 7.1, ETS-soft, 2005
9 Irvin I. Rubin, 1972, Injection Molding, Theory and Practice, John Wiley & Sons, USA, pp. 3-11
10 D. G. Baird, D. I. Collias, 1998, Polymer Processing, John Wiley & Sons, USA, pp. 277-282