(Hassan II University, Morocco)(2) * Yassine Zahraoui
(Hassania School of Public Works, Morocco)(3) Souad Tayane
(Hassan II University, Morocco)(4) Mohamed Ennaji
(Hassan II University, Morocco)(5) Jaafar Gaber
(Belfort-Montbeliard University of Technology, France)*corresponding author
AbstractInjection molding is a crucial manufacturing technology for producing complex, high-quality parts at scale, making it essential in various industries, including consumer electronics and automotive sectors. However, a lack of understanding about how injection parameters impact common defects like sink marks, short shots, and warpage often limits the widespread adoption of injection molding. This research aims to bridge this gap by providing a comprehensive digital simulation of the injection molding process within a complex mold cavity. Utilizing Moldex3D and the Finite Volume Method (FVM), this study characterizes essential material properties–viscosity, specific heat, density, and thermal conductivity–and examines the effects of gate location and part design on minimizing weld lines and warpage. The FVM involves dividing the computational domain into a finite number of small control volumes. This method is particularly well-suited for handling complex geometries and flow conditions, facilitating detailed and accurate simulations. This study employs Moldex3D, a leading simulation software in the field of injection molding, to demonstrate the use of CAE for design verification and process innovation. Moldex3D’s advanced capabilities make it an ideal tool for simulating injection molding processes, helping improve the quality of parts and contributing to the overall advancement of molding skills in the industry. The simulations revealed optimal gate locations that significantly improved filling patterns, reduced warpage by 50%, and minimized weld lines, thereby enhancing overall part quality. Key contributions of this research include the identification of critical flow characteristics, the reduction of defect-prone regions, and the enhancement of plastic component rigidity. This study provides valuable insights into optimizing injection molding processes, offering a pathway to improved efficiency and part quality in advanced manufacturing.
KeywordsInjection Molding; Filling; Packing; Warpage; Moldex3D
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DOIhttps://doi.org/10.31763/ijrcs.v4i4.1561 |
Article metrics10.31763/ijrcs.v4i4.1561 Abstract views : 213 | PDF views : 27 |
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References
[1] H. Fu, H. Xu, Y. Liu, Z. Yang, S. Kormakov, D. Wu, and J. Sun, “Overview of Injection Molding Technology for Processing Polymers and Their Composites,†ES Materials & Manufacturing, vol. 8, no. 20, pp. 3–23, 2020, https://doi.org/10.30919/esmm5f713.
[2] J. Gim and L.-S. Turng, “A review of current advancements in high surface quality injection molding: Measurement, influencing factors, prediction, and control,†Polymer Testing, vol. 115, p. 107718, 2022, https://doi.org/10.1016/j.polymertesting.2022.107718.
[3] H.-T. Nguyen, M.-Q. Nguyen, N. Q. Manh, and N.-C. Vu, “Numerical Simulation and Multi-objective Optimization of Injection Molding Parameters for Improving the Quality of Plastic Product,†in Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021, pp. 199–205, 2022, https://doi.org/10.1007/978-3-030-99666-6_31.
[4] N.-y. Zhao, J.-y. Lian, P.-f. Wang, and Z.-b. Xu, “Recent progress in minimizing the warpage and shrink age deformations by the optimization of process parameters in plastic injection molding: a review,†The International Journal of Advanced Manufacturing Technology, vol. 120, no. 1, pp. 85–101, 2022, https://doi.org/10.1007/s00170-022-08859-0.
[5] S. O. Otieno et al., “A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization,†Journal of Intelligent Manufacturing, 2024, https://doi.org/10.1007/s10845-024-02331-4.
[6] W. -T. Huang and J. -H. Chou, “Application of Robust Method for Warpage Optimization Using Plastic Injection Molding Process,†2020 IEEE 2nd International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH), pp. 56-59, 2020, https://doi.org/10.1109/ICACEH51803.2020.9366249.
[7] S. Pitjamit, P. Jewpanya, P. Nuangpirom, K. Wongpoo, and S. Sriyab, “The experimental study of rear fender production using plastic injection molding with Moldex3D simulation,†Engineering and Applied Science Research, vol. 50, no. 6, pp. 646–656, 2023, https://doi.org/10.14456/easr.2023.67.
[8] Y.-M. Hsu, X. Jia, W. Li, P. Manganaris, and J. Lee, “Sequential optimization of the injection molding gate locations using parallel efficient global optimization,†The International Journal of Advanced Manufacturing Technology, vol. 120, no. 5, pp. 3805–3819, 2022, https://doi.org/10.1007/s00170-022-09012-7.
[9] Z. Lu, H. Liu, P. Wei, C. Zhu, D. Xin, and Y. Shen, “The effect of injection molding lunker defect on the durability performance of polymer gears,†International Journal of Mechanical Sciences, vol. 180, p. 105665, 2020, https://doi.org/10.1016/j.ijmecsci.2020.105665.
[10] T. Takayama and Y. Motoyama, “Injection molding temperature dependence of elastic coefficients obtained using three-point bending tests to ascertain thermoplastic polymer coefficients,†Mechanical Engineering Journal, vol. 8, no. 2, pp. 20–00414, 2021, https://doi.org/10.1299/mej.20-00414.
[11] W.-T. Huang, C.-L. Tsai, W.-H. Ho, and J.-H. Chou, “Application of Intelligent Modeling Method to Optimize the Multiple Quality Characteristics of the Injection Molding Process of Automobile Lock Parts,†Polymers, vol. 13, no. 15, p. 2515, 2021, https://doi.org/10.3390/polym13152515.
[12] M. Perin, Y. Lim, G. A. Berti, T. Lee, K. Jin, and L. Quagliato, “Single and Multiple Gate Design Optimization Algorithm for Improving the Effectiveness of Fiber Reinforcement in the Thermoplastic Injection Molding Process,†Polymers, vol. 15, no. 14, p. 3094, 2023, https://doi.org/10.3390/polym15143094.
[13] J. Zhan, J. Li, G. Wang, Y. Guan, G. Zhao, J. Lin, H. Naceur, and D. Coutellier, “Review on the performances, foaming and injection molding simulation of natural fiber composites,†Polymer Composites, vol. 42, no. 3, pp. 1305–1324, 2021, https://doi.org/10.1002/pc.25902.
[14] M. R. Khosravani and S. Nasiri, “Injection molding manufacturing process: review of case-based reasoning applications,†Journal of Intelligent Manufacturing, vol. 31, no. 4, pp. 847–864, 2020, https://doi.org/10.1007/s10845-019-01481-0.
[15] G.-J. Kang, C.-H. Park, and D.-H. Choi, “Metamodel-based design optimization of injection molding process variables and gates of an automotive glove box for enhancing its quality,†Journal of Mechanical Science and Technology, vol. 30, no. 4, pp. 1723–1732, 2016, https://doi.org/10.1007/s12206-016-0328-x.
[16] N.-Y. Zhao, J.-F. Liu, M.-Y. Su, and Z.-B. Xu, “Measurement techniques in injection molding: A comprehensive review of machine status detection, molten resin flow state characterization, and component quality adjustment,†Measurement, vol. 226, p. 114163, 2024, https://doi.org/10.1016/j.measurement.2024.114163.
[17] S. M. S. Mukras, “Experimental-Based Optimization of Injection Molding Process Parameters for Short Product Cycle Time,†Advances in Polymer Technology, vol. 2020, no. 1, p. 1309209, 2020, https://doi.org/10.1155/2020/1309209.
[18] A. B. Ayad, A. E. Hakimi, R. E. Otmani, A. E. Magri, A. Louanate, A. Touache, M. Boutaous, and S. Vaudreuil, “Microinjection molding of polyoxymethylene stepped-parts: Morphology, crystallinity, shrinkage, and thermal characterization,†Journal of Applied Polymer Science, vol. 139, no. 39, 2022, https://doi.org/10.1002/app.52930.
[19] B. Silva, R. Marques, D. Faustino, P. Ilheu, T. Santos, J. Sousa, and A. D. Rocha, “Enhance the Injection Molding Quality Prediction with Artificial Intelligence to Reach Zero-Defect Manufacturing,†Processes, vol. 11, no. 1, p. 62, 2023, https://doi.org/10.3390/pr11010062.
[20] C.-C. Kuo and Y.-X. Xu, “A simple method of improving warpage and cooling time of injection molded parts simultaneously,†The International Journal of Advanced Manufacturing Technology, vol. 122, no. 2, pp. 619–637, 2022, https://doi.org/10.1007/s00170-022-09925-3.
[21] G. Jadhav, V. Gaval, S. Solanke, M. Divekar, N. Darade, A. Satpute, and G. P. Goutham, “Weld-lines and its strength evaluation in injection molded parts: A review,†Polymer Engineering & Science, vol. 63, no. 11, pp. 3523–3536, 2023, https://doi.org/10.1002/pen.26470.
[22] M. Lamrhari, A. Allouch, and M. Elghadoui, “Comparative Study of Dimensional and Surface Specification: Additive Manufacturing and Injection Molding,†in Proceedings of CASICAM 2022, pp. 255–263, 2023, https://doi.org/10.1007/978-3-031-32927-2_23.
[23] Y. E. Zhiyin, “Influence of Sprue Size on Mechanical Properties of Plastic Products in Design of Injection Mold,†China Plastics, vol. 34, no. 9, pp. 56–60, 2020, https://doi.org/10.19491/j.issn.1001-9278.2020.09.010.
[24] M. E. Ghadoui, “Intelligent energy-based product quality control in the injection molding process,†E3S Web of Conferences, vol. 469, p. 00045, 2023, https://doi.org/10.1051/e3sconf/202346900045.
[25] W. Safiei and M. F. M. Sharif, “Product Development of Electrical Appliance in Injection Molding Process with the Application of Computer-Aided Modeling (CAM) and Computer-Aided Engineering (CAE),†in Intelligent Manufacturing and Mechatronics, pp. 351–359, 2024, https://doi.org/10.1007/978-981-99-8819-8_28.
[26] Q. Liu, Y. Liu, C. Jiang, and S. Zheng, “Modeling and simulation of weld line location and properties during injection molding based on viscoelastic constitutive equation,†Rheologica Acta, vol. 59, no. 2, pp. 109–121, 2020, https://doi.org/10.1007/s00397-019-01182-8.
[27] D. A. de Miranda et al., “Analysis of numerical modeling strategies to improve the accuracy of polymer injection molding simulations,†Journal of Non-Newtonian Fluid Mechanics, vol. 315, p. 105033, 2023, https://doi.org/10.1016/j.jnnfm.2023.105033.
[28] L. Veltmaat, F. Mehrens, H.-J. Endres, J. Kuhnert, and P. Suchde, “Mesh-free simulations of injection molding processes,†Physics of Fluids, vol. 34, no. 3, p. 033102, 2022, https://doi.org/10.1063/5.0085049.
[29] J. Fu, X. Zhang, L. Quan, and Y. Ma, “Concurrent structural topology and injection gate location optimization for injection molding multi-material parts,†Advances in Engineering Software, vol. 165, p. 103088, 2022, https://doi.org/10.1016/j.advengsoft.2022.103088.
[30] J. Liang, W. Luo, Z. Huang, H. Zhou, Y. Zhang, Y. Zhang, and Y. Fu, “A robust finite volume method for three-dimensional filling simulation of plastic injection molding,†Engineering Computations, vol. 34, no. 3, pp. 814–831, 2017, https://doi.org/10.1108/EC-03-2016-0102.
[31] L. Chen, X. Zhou, Z. Huang, and H. Zhou, “Three-dimensional transient finite element cooling simulation for injection molding tools,†The International Journal of Advanced Manufacturing Technology, vol. 120, no. 11, pp. 7919–7936, 2022, https://doi.org/10.1007/s00170-022-09154-8.
[32] W. Michaeli, S. Hoffmann, M. Kratz, and K. Webelhaus, “Simulation Opportunities by a Three dimensional Calculation of Injection Moulding based on the Finite Element Method,†International Polymer Processing, vol. 16, no. 4, pp. 398–403, 2001, https://doi.org/10.1515/ipp-2001-0011.
[33] J. Pedro, B. Ramôa, J. M. Nóbrega, and C. Fernandes, “Verification and Validation of openInjMoldSim, an Open-Source Solver to Model the Filling Stage of Thermoplastic Injection Molding,†Fluids, vol. 5, no. 2, p. 84, 2020, https://doi.org/10.3390/fluids5020084.
[34] M. Baum, F. Jasser, M. Stricker, D. Anders, and S. Lake, “Numerical simulation of the mold filling process and its experimental validation,†The International Journal of Advanced Manufacturing Technology, vol. 120, no. 5, pp. 3065–3076, 2022, https://doi.org/10.1007/s00170-022-08888-9.
[35] N. Rauter, “Numerical Simulation of the Elastic–Ideal Plastic Material Behavior of Short Fiber Reinforced Composites Including Its Spatial Distribution with an Experimental Validation,†Applied Sciences, vol. 12, no. 20, p. 10483, 2022, https://doi.org/10.3390/app122010483.
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