Abstract
Numerical simulation of the plastic injection molding process is extremely important to enhance the product’s productivity and quality. This paper presents the numerical simulation and multi-objective optimization of an injection molding process for improving the quality of a centrifugal pump impeller using integrated response surface methodology (RSM) and particle swarm optimization (PSO) method. Firstly, a series of experiments was designed based on the orthogonal array experimental design method to generate 27 experiments with input variables including mold temperature, melt temperature, cooling time and packing time. Secondly, the Moldex-3D software was employed to simulate and evaluate the injection mold filling process. Finally, the PSO algorithm was utilized to determine the optimal parameters for minimizing warpage and residual stress of plastic products. The optimized parameters for injection molding are melt temperature of 202.7 ℃, mold temperature of 70.6 ℃, packing time of 13.3 s and cooling time of 34.69 s.
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References
Zhang, H., Tang, L., Zhao, Y.: Influence of blade profiles on plastic centrifugal pump performance. Adv. Mater. Sci. Eng. 2020, 1–17 (2020). https://doi.org/10.1155/2020/6665520
Wang, Y.: Injection molding simulation of plastic impeller and process parameters optimization. J. Drainage Irrig. Mach. Eng. 31, 747–751 (2013)
Oktem, H., Erzurumlu, T., Uzman, I.: Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part. Mater. Des. 28, 1271–1278 (2007)
Huang, Y.-T., et al.: Experimental and numerical study determining the warpage phenomenon of thin-wall injection molding. Adv. Polym. Technol. 2020, 1–13 (2020). https://doi.org/10.1155/2020/2914801
Acevedo-Morantes, M.T., Brieva-Sarmiento, M., Realpe-Jiménez, A.: Effect of the molding temperature and cooling time on the residual stresses of crystal polystyrene. Dyna 81, 73–80 (2014)
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Nguyen, HT., Nguyen, MQ., Manh, N.Q., Vu, NC. (2022). Numerical Simulation and Multi-objective Optimization of Injection Molding Parameters for Improving the Quality of Plastic Product. In: Long, B.T., Kim, H.S., Ishizaki, K., Toan, N.D., Parinov, I.A., Kim, YH. (eds) Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021). AMAS 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-99666-6_31
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DOI: https://doi.org/10.1007/978-3-030-99666-6_31
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