Experimentation and Optimization of injection moulding process parameter through Taguchi method and Mould flow analysis
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2017 by IJETT Journal | ||
| Volume-51 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : Suyog P. Bhalerao, T.Y.Badgujar, D.R.Mahajan |
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| DOI : 10.14445/22315381/IJETT-V51P218 |
Citation
Suyog P. Bhalerao, T.Y.Badgujar, D.R.Mahajan "Experimentation and Optimization of injection moulding process parameter through Taguchi method and Mould flow analysis", International Journal of Engineering Trends and Technology (IJETT), V51(2),97-105 September 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Injection moulding is a manufacturing process in which the molten plastic is inserted into a cavity called as mould. Material for the part is fed through hopper into a heated barrel, mixed, and forced into a mould cavity, where it cools and hardens to the configuration of the cavity. In this project Taguchi method is used for Optimization of Injection moulding process parameter. The experiments conducted by using Injection moulding De-Tech100 machine with material Kaiffa PBT 302 G0 used. S/N ratio is used to find the optimum combination of process parameters and importance of each parameter is known by performing ANOVA analysis. The last important aim was to find the effect of Injection pressure, Injection speed, screw speed and cooling time on injection moulding process. The injection moulding process parameters are also optimized using Mould flow analysis using mould flow advisor Autodesk. The main conclusion drawn from this project is that most of rejections are due to short filling which can be minimized by setting the all these parameters at high level.
Reference
[1] Nik Mizamzul Mehat & Shahrul Kamaruddin (2011) ?Investigating the Effects of Injection Molding Parameters on the Mechanical Properties of Recycled Plastic Parts Using the Taguchi Method, Materials and Manufacturing Processes, 26:2, 202-209.
[2] Nik Mizamzul Mehat & Shahrul Kamaruddin (2011)?Multi-Response Optimization of Injection Moulding Processing Parameters Using the Taguchi Method, Polymer-Plastics Technology and Engineering, 50:15, 1519-1526.
[3] Manoraj Mohan, M.N.M. Ansari & Robert A Shanks (2016): ?Review on the Effects of Process Parameters on Strength, Shrinkage, and Warpage of Injection Molding Plastic Component, Polymer-Plastics Technology and Engineering.
[4] Shi W. Lee & Seokyoung Ahn[2011] ?Effect of process parameters in plastic, metal and ceramic injection mouliding processes,vol.23, No. 3, September 2011 pp.127-138
[5] M. Packianathera*, F. Chana (2013) ?Optimization of micro injection moulding process through design of experiments, science direct, Procedia CIRP 12 (2013 ) 300 – 305.
[6] Daniele Annicchiarico & Jeffrey R. Alcock (2014) ?Review of Factors that Affect Shrinkage of Molded Part in Injection Molding, Materials and Manufacturing Processes, 29:6, 662-682,
[7] KC, B., Faruk, O., Agnelli, J.A.M., Leao, A.L., Tjong, J., Sain, M.,(2015) ?Sisal/glass fiber hybrid bio composite: Optimization of injection molding parameters using Taguchi method for reducing shrinkage, Composites: Part A (2015)
[8] Gurjeet Singh & Ajay Verma[2017] ?Brief Review on injection moulding manufacturing process, science direct, Materials Today: Proceedings 4 (2017) 1423–1433.
[9] M.H. Othman, S. Hasan & S.Z. Khamis(2017)?Optimization of injection moulding parameter towards shrinkage and warpage for polypropylene-nanoclay-gigantochloa scortechinii nanocomposites, science direct, procedia engineering 184(2017)673-680.
Keywords
Plastic Injection moulding, Taguchi method, S/N ratio, ANOVA, Creo 2.0, Mould flow analysis.