Commenced in January 2007
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Edition: International
Paper Count: 33122
Improving Injection Moulding Processes Using Experimental Design
Authors: Yousef Amer, Mehdi Moayyedian, Zeinab Hajiabolhasani, Lida Moayyedian
Abstract:
Moulded parts contribute to more than 70% of components in products. However, common defects particularly in plastic injection moulding exist such as: warpage, shrinkage, sink marks, and weld lines. In this paper Taguchi experimental design methods are applied to reduce the warpage defect of thin plate Acrylonitrile Butadiene Styrene (ABS) and are demonstrated in two levels; namely, orthogonal arrays of Taguchi and the Analysis of Variance (ANOVA). Eight trials have been run in which the optimal parameters that can minimize the warpage defect in factorial experiment are obtained. The results obtained from ANOVA approach analysis with respect to those derived from MINITAB illustrate the most significant factors which may cause warpage in injection moulding process. Moreover, ANOVA approach in comparison with other approaches like S/N ratio is more accurate and with the interaction of factors it is possible to achieve higher and the better outcomes.Keywords: Analysis of variance, ANOVA, plastic injection mould, Taguchi methods, Warpage.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062096
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[1] Precision Die Casting Expert From Taiwan - Accucision Diecast , Japan DDK's Most Trusted Die Casting Partner for Electrical Connectors, http://die-casting.ready-online.com/, accessed 14 Oct 2012.
[2] D. V. Rosato, M.G. Rosato, in "Injection Molding Handbook", Kluwer Academic Publisher Boston, Dordretch, London, 2001, 3rd ed.
[3] F.O. Johannaber in "Injection Molding Machines: A User's Guide" Hanser Gardner Publisher, 2007, 4th ed.
[4] S.H.Tang Y.J. Tan, S.M. Sapuan, S.Sulaiman, N.Ismail & R.Samin "The use of Taguchi method in the design of plastic injection mould for reducing warpage" in Journal of Materials Processing Technology, 2007, vol 182, pp 418-426.
[5] M. Altan "Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods" in Journal of Material and Design, 2010, vol 31, pp 599-604.
[6] Y.Yang & F.Gao "Injection molding product weight: Online prediction and control based on a nonlinear principal component regression model" in Polymer Engineering and Science, 2006, vol 46, no 4, pp540-548.
[7] B. Ozcelik & I.Sonat "Warpage and structural analysis of thin shell plastic in the plastic injection molding" in Journal of Material and Design, 2009, vol 30, pp367-375.
[8] S.J Liao, D.Y. Chang, H.J Chen, J.H. Tsou, H.T. Ho & W.H. Hsieh "Optimal Process Conditions of Shrinkage and Warpage of Thin-Wall Parts" in Polymer Engineering and Science, 2004, vol 44, No 5, pp 917- 928.
[9] C. Yen, J.C Lin, W. Li & M.F. Huang "An abductive neural network approach to the design of runner dimensions for the minimization of warpage in injection mouldings" in Journal of Materials Processing Technology, 2006, vol 174, pp 22-28.
[10] M.C. Song, Z. Liu, M.J. Wang, T.M. Yu & D.Y. Zhao "Research on effects of injection process parameters on the moulding process for ultrathin wall plastic parts" in Journal of Materials Processing Technology, 2007, vol 187-188, pp 668-671.
[11] N.Subramanian, R.L. Tingyu & Y.A. Seng "Optimizing warpage analysis for an optical housing" in Journal of Mechatronics, 2005, vol 15, pp111-127.
[12] N.Khoshooee & P.D. Coates "Application of the Taguchi method for consistent polymer melt production in injection moulding" in Journal of Engineering Manufacture, 1998, 611-620.
[13] R.Urval, S. Lee, S.V. Atre, S.J. Park & R.M. German 2008). Optimisation of process conditions in powder injection moulding of microsystem components using a robust design method in Powder Metallurgy, 2008 vol 51, no 2, pp 134-142.