Effects of Plastic Injection Moulding Process Parameters on Material Elastic Modulus on Complex Geometry and Parameter Optimization for Getting Maximum Stiffness

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Ozan Sertler
https://orcid.org/0009-0007-2124-4767
Cahit Atagün
https://orcid.org/0000-0002-5153-4753
Ali Gökşenli
https://orcid.org/0000-0002-1068-8705
Ata Mugan
https://orcid.org/0000-0002-5293-7562

Abstract

Plastic injection is widely used in white goods sector in case of highly production rates, low transformation costs and recyclability of products. There are many parameters affecting on the quality, dimensional stability and mechanical strength in plastic injection process. In washing machine tubs which are exposed to dynamic loads during spinning, it is necessary to optimize process parameters. In this research; packing pressure, packing transition point, packing time and injection time is optimized by using Box Behnken methodology via Moldlfow elastic modulus outputs and structural analyses results. Optimum process parameters are obtained to achieve best material orientation.

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How to Cite
Sertler, O., Atagün, C., Gökşenli, A., & Mugan, A. (2023). Effects of Plastic Injection Moulding Process Parameters on Material Elastic Modulus on Complex Geometry and Parameter Optimization for Getting Maximum Stiffness. The European Journal of Research and Development, 3(4), 133–144. https://doi.org/10.56038/ejrnd.v3i4.383
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References

Karmoker J. R., Hasan I., Ahmed N., Saifuddin M., Reza M.S. (2019) “Development and optimization of acyclovir loaded mucoadhesive by Box Behnken design.” Dhaka University Journal of Pharmacceutical Sciences. 18(1): 1-12. DOI: https://doi.org/10.3329/dujps.v18i1.41421

Wei T. H., Derho W., Ziyuntasi, Chialun T. (2015) “Optimization of process parameters in plastic injection mold simulation for auto-lock parts using Taguchi –Grey method based on mutli objective” International Conference on Structural Mechanical and Materials Engineering.

Ashwani K., Deepak K. (nd) “Optimization of shrinkage in injection moulding of 40% glass filled nylon 66 using response surface methodology (RSM) and genetic algorithm (GA).”

Mehat N.M., Kamaruddin S. (2011). “Optimization of mechanical properties of recycled plastic products via optimal processing parameters using th Taguchi method.” DOI: https://doi.org/10.1016/j.jmatprotec.2011.06.014

Shi F., Lou Z. L., Lu J. G., Zhang Y. U., (2003). “Optimisation of plastic injection moulding process with soft computing.” Int. Advanced Manufacturing Technology (656-661). DOI: https://doi.org/10.1007/s00170-002-1374-3

Guo W. (2012). “Prediction of warpage in plastic injection molding based on design of experiments.” Journal of Mechanical Science of Technology (1133-1139). DOI: https://doi.org/10.1007/s12206-012-0214-0

Masato D., Rathore J., Sorgato M., Carmignato S., Lucchetta G. (nd) “Analysis of the shrinkage of injection molded fiber reinforced thin wall parts.”

Adhikary K.B., Pang S., Staiger M.P. (2008). “Dimensional stability and mechanical behaviour of wood –plastic composites based on recycled and virgin high density polyethylene (HDPE).” DOI: https://doi.org/10.1016/j.compositesb.2007.10.005

Moayyedian M., Abhary K., Marian (nd). “Optimization of injection molding process based on fuzzy quality evaluation and Taguchi experimental design.” CIRP Journal of Manufacturing Science and Technology.

Oktem H., Erzurumlu T., Uzman I. (2007). “Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin shell part.” (1271-1275) DOI: https://doi.org/10.1016/j.matdes.2005.12.013

https://www.sciencedirect.com/topics/engineering/packingpressure#:~:text=Changes%20to%20the%20packing%20pressure,warping%20and%20other%20filling%20defects.

https://www.sciencedirect.com/topics/engineering/injection-time