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Optimization of Two Quality Characteristics in Injection Molding Processes via Taguchi Methodology

Authors: Joseph C. Chen, Venkata Karthik Jakka


The main objective of this research is to optimize tensile strength and dimensional accuracy in injection molding processes using Taguchi Parameter Design. An L16 orthogonal array (OA) is used in Taguchi experimental design with five control factors at four levels each and with non-controllable factor vibration. A total of 32 experiments were designed to obtain the optimal parameter setting for the process. The optimal parameters identified for the shrinkage are shot volume, 1.7 cubic inch (A4); mold term temperature, 130 ºF (B1); hold pressure, 3200 Psi (C4); injection speed, 0.61 inch3/sec (D2); and hold time of 14 seconds (E2). The optimal parameters identified for the tensile strength are shot volume, 1.7 cubic inch (A4); mold temperature, 160 ºF (B4); hold pressure, 3100 Psi (C3); injection speed, 0.69 inch3/sec (D4); and hold time of 14 seconds (E2). The Taguchi-based optimization framework was systematically and successfully implemented to obtain an adjusted optimal setting in this research. The mean shrinkage of the confirmation runs is 0.0031%, and the tensile strength value was found to be 3148.1 psi. Both outcomes are far better results from the baseline, and defects have been further reduced in injection molding processes.

Keywords: Injection molding processes, Taguchi Parameter Design, tensile strength, shrinkage test, high-density polyethylene, HDPE.

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[1] J. Antony, F. Jiju Antony, Teaching the Taguchi method to industrial engineers, Work Study 50(4), 2001, 141-149.
[2] Standard, A.S.T.M., Standard test method for tensile properties of plastics (West Conshohocken, PA: ASTM International, 2010).
[3] TC. Chang, E. Faison, Shrinkage behavior and optimization of injection molded parts studied by the Taguchi method, Polymer Engineering & Science 41(5), 2001, 703-710.
[4] D. Annicchiarico, J.R. Alcock, Review of factors that affect shrinkage of molded part in injection molding, Materials and Manufacturing Processes 29(6), 2014, 662-682.
[5] S. Kamaruddin, Z.A. Khan, S.H. Foong, Application of Taguchi method in the optimization of injection moulding parameters for manufacturing products from plastic blend, International Journal of Engineering and technology 2(6), 2010, 574.
[6] M.Z. Zakaria, H. Jamaluddin, R. Ahmad, A. Harun, R. Hussin, A. Nabil, M. Khalil, M.K.M. Naim, A.F. Annuar, Perturbation parameters tuning of multi-objective optimization differential evolution and its application to dynamic system modeling, Jurnal Teknologi 75(11), 2015, 77-90.
[7] W. Chen, M. Nguyen, W. Chiu, T. Chen, P. Tai, Optimization of the plastic injection molding process using the Taguchi method, RSM, and hybrid GA-PSO, The International Journal of Advanced Manufacturing Technology 83(9-12), 2016, 1873-1886.
[8] A. Akbarzadeh, M. Sadeghi, Parameter study in plastic injection molding process using statistical methods and IWO algorithm, International Journal of Modeling and Optimization 1(2), 2011, 141.
[9] N.M. Mehat, S. Kamaruddin, A.R. Othman, Reducing the shrinkage in plastic injection moulded gear via grey-based-Taguchi optimization method, Proceedings of the World Congress on Engineering. Vol. 3, 2012.
[10] M.M. Alam, D. Kumar, Reducing shrinkage in plastic injection moulding using Taguchi method in Tata magic head light, International Journal of Science and Research 2(2), 2013, 107-110.
[11] R. Zaboj, The Influence of Process Conditions on the Local Shrinkage of the Injection Moulded Natural Fibre Composite with Polypropylene Matrix, International Conference on Electrical, Automation and Mechanical Engineering. Atlantis Press, 2015.
[12] J.C. Chen, T. Alblawi, Y. Li, Development of a Taguchi-based framework for optimizing two quality characteristics in Wire-EDM operations, International Journal of Engineering Research and Applications 6(1), 2016, 35-49.
[13] P.J. Ross, Taguchi techniques for quality engineering: loss function, orthogonal experiments, parameter and tolerance design (McGraw-Hill, NY, 1996).