Experimental Investigation into Suitable Process Conditions for Plastic Injection Molding of Thin-Sheet Parts

Authors

  • Dyi-Cheng Chen
  • Tse-Hsi Chen
  • Geng-Fu Lin
  • Yi-Kai Wang
  • Yu-Chen Chang

Keywords:

plastic injection molding, thin sheet, surface quality

Abstract

This study performs an experimental investigation into the effects of the process parameters on the surface quality of injection molded thin-sheet thermoplastic components. The investigations focus specifically on the shape, number and position of the mold gates, the injection pressure and the injection rate. It can be seen that the gravity force entering point improved filling of the cavity for the same forming time and injection pressure. Moreover, it shows the same injection pressure and packing time, the taper-shape gate yields a better surface appearance than the sheet-shape gate. The experimental results provide a useful source of reference in suitable the process conditions for the injection molding of thin-sheet plastic components.

References

W. M. Yang and H. Yokoi, “Visual analysis of the flow behavior of core material in a fork portion of plastic sandwich injection molding,” Polymer Testing, vol. 22, pp. 37-43, 2003.

K. T. Chiang, “The optimal process conditions of an injection-molded thermoplastic part with a thin shell feature using grey-fuzzy logic: A case study on machining the PC/ABS cell phone shell,” Materials and Design, vol. 28, pp. 1851-1860, 2007.

G. Wang, G. Zhao, H. Li, and Y. Guan, “Analysis of thermal cycling efficiency and optimal design of heating/cooling system for rapid heat cycle injection molding process,” Materials and Design, vol. 31, pp. 3426-3441, 2010.

M. Altan, “Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods,” Materials and Design, vol. 31, pp. 599-604, 2010.

M. Kurt, O. S. Kamber, Y. Kaynak, G. Atakok, and O. Girit, “Experimental investigation of plastic injection molding: Assessment of the effects of cavity pressure and mold temperature on the quality of the final products,” Materials and Design, vol. 30, pp. 3217-3224, 2009.

H. Oktem, T. Erzurumlu, and I. Uzman, “Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part,” Materials and Design, vol. 28, pp. 1271-1278, 2007.

Y. M. Deng, Y. Zhang, and Y. C. Lam, “A hybrid of mode-pursuing sampling method and genetic algorithm for minimization of injection molding warpage,” Materials and Design, vol. 31, pp. 2118-2123, 2010.

L. W. Seow and Y. C. Lam, “Optimizing flow in plastic injection molding,” Journal of Materials Processing Technology, vol.72, pp.333-341, 1997.

M. C. Song, Z. Liu, M. J. Wang, T. M. Yu, and D. Y. Zhao, “Research on effects of injection process parameters on the molding process for ultra-thin wall plastic parts,” Journal of Materials Processing Technology, vol. 187-188, pp. 668-671, 2007.

K. S. Nezhad and E. Siores, “An intelligent system for plastic injection molding process design,” Journal of Materials Processing Technology, vol. 63, pp. 458-462, 1997.

V. D. Tsoukalas, “Optimization of injection conditions for a thin-walled die-cast part using a genetic algorithm method,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 222, pp. 1097-1106, 2008.

C. A. Griffiths, S. S. Dimov, E. B. Brousseau, and M. S. Packianather, “The finite element analysis of melt flow behaviour in micro-injection moulding,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 222, pp. 1107-1118, 2008.

S. Kamaruddin, Z. A. Khan, and S. H. Foong, “Quality characteristic improvement of an injection moulding product made from blends plastic by optimizing the injection moulding parameters using Taguchi method,” International Journal of Plastics Technology, vol. 14, no. 2, pp. 152-166, 2010.

H. Zhou and D. Li, “Residual stress analysis of the post-filling stage in injection moulding,” the International Journal of Advanced Manufacturing Technology, vol. 25, no. 7-8, pp. 700-704, 2005.

H. Shi, S. Xie, and X. Wang, “A warpage optimization method for injection molding using artificial neural network with parametric sampling evaluation strategy,” the International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-012-4173-5, 2012.

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Published

2014-04-01

How to Cite

[1]
D.-C. Chen, T.-H. Chen, G.-F. Lin, Y.-K. Wang, and Y.-C. Chang, “Experimental Investigation into Suitable Process Conditions for Plastic Injection Molding of Thin-Sheet Parts”, Int. j. eng. technol. innov., vol. 4, no. 2, pp. 107–116, Apr. 2014.

Issue

Vol. 4 No. 2 (2014)

Section

Articles

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