Optimization of the Plastic Injection Molding Parameters for Sport Equipment by Using Design of Experiment


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Abstract


This Paper, research about the defect on plastic product in injection molding process. During producing a product using injection molding process, various of defects such as warpage, weld lines, shrinkage and sink mark can be occurred. A set of Optimal setting of injection molding parameters is very important to  be determined after various trials has been made, because  to reduce and controlling the quality on defect of the injection molded product. The purpose of this research is to optimize warpage and shrinkage defect on material Polycarbonate(PC) thermoplastic and simulate the injection molding process using Moldflow Plastic Insight software (MPI).Optical glasses has  been  selected  as  a  product  to  be studied and design the model by using UNIGRAPHIC NX 7.5 .The approach  based on Design of Experiment has been implemented to analyze and optimize the processing parameters such as mold temperature, melt temperature, packing time, packing pressure, cooling time, cooling temperature, and runner size. Experimental plans available in the form of orthogonal arrays.  Software (Minitab) for automatic experiments design and analysis of results based on Design of Experiments (Taguchi Method) were used to find the best setting of injection molding plastic part.
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Keywords


Plastics Injection Molding; Taguchi’s Method; Warpage and Shrinkage

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References


A. H. Ahmad, Z.L., M. A. Azmir, K. F. Muhamad, W.S.W. Harun, A. Juliawati, A.B.S.Alias, Optimization of Warpage Defect in Injection Moulding Process using ABS Material. Third Asia International Conference on Modelling & Simulation, 2009.

O.Kazmer, D., Injection Mold Design Engineering. 2007: Hanser.

Ming-Chih Huang, C.-C.T., The effective factors in the warpage problem of an injection-molded part with a thin shell feature. Journal of Materials Processing Technology 110, 2001: p. 1-9.

Babur Ozcelik , I.S., Warpage and structural analysis of thin shell plastic in the plastic injection molding. Materials and Design 30 2009: p. 367–375.

Z. Shayfull, M.F.G., M. Azaman, S.M. Nasir, N.A. Faris., Effect of Differences Core and Cavity Temperature on Injection Molded Part and Reducing the Warpage by Taguchi Method. International Journal of Engineering & Technology IJET-IJENS 2010. Vol: 10 No: 06.

B. Ozcelik, T.E., Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm. Journal of Materials Processing Technology 2006 p. 171 437–445.

J.Z.CHU, R.S., Thin-wall plastic parts’ warpage analysis based on Taguchi method. Journal of Applied Mechanics and Materials 2011. Vols. 80-81 p. 375-378.

Antony, J., Taguchi or classical design of experiments: a perspective from a practitioner. Sensor Review 2006: p. 26/3 227–230.

S.H. Tang , Y.J.T., S.M. Sapuan, S. Sulaiman, N. Ismail, R. Samin, The use of Taguchi method in the design of plastic injection mould for reducing warpage. Journal of Materials Processing Technology 182 2007 p. 418–426.

M.C. Song , Z.L., M.J. Wang, T.M. Yu, 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 2007: p. 187–188 668–671.

D. Mathivanan, M.N.a.R.V., Minimization of sink mark defects in injection molding process – Taguchi approach. International Journal of Engineering, Science and Technology 2010. Vol. 2 , No. 2: p. pp. 13-22.

Tuncay Erzurumlu, B.O., Minimization of warpage and sink index in injection-molded thermoplastic parts using Taguchi optimization method. Materials and Design 27 2006: p. 853–861.

K. Prashantha, J.S., M. F. Lacrampe, E. Lafranche, P. Krawczak,M. Claes, G. Dupin, Taguchi analysis of shrinkage and warpage of injection-moulded polypropylene/multiwall carbon nanotubes nanocomposites. eXPRESS Polymer Letters 2009. Vol.3, No.10 p. 630–638.

Hasan Oktem, T.E., Ibrahim Uzman Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part. Materials and Design 28 2007 p. 1271–1278.

Kazmer, D.O., Injection Molding. Encyclopedia of Chemical Processing, 2006.

Geoges menges, P.m., walter michaeli, how to make injection mold, ed. 3rd. 2001, munich vienna new york barcelona: hanser publishers.

Harper.C.A, Handbook of Plastic Processes. 2006: Wiley-Interscience:Canada.

khabhari.V.M, Advance Manufacturing Technology for Polimer Composite Structure in japan. Japan Technology Evaluation Center, 1994.

Rongji Wang , Junliang Zeng , Xiaoxin Feng & Yuejun Xia, Evaluation of Effect of Plastic Injection Molding Process Parameters on Shrinkage Based on Neural Network Simulation. Journal of Macromolecular Science, 2012.

Mirigul Altan, Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods. Journal Materials and Design, 2010.

Dr Nicos Bilalis,Computer Aided design (CAD), Technical University of Crete,2010.


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