Simulación de la etapa de llenado de la mezcla PC+ABS durante el proceso de moldeo por inyección https://doi.org/10.15332/24222399.2939
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[2] Araújo, C., Pereira, D., Dias, D., Marques, R., & Cruz, S. (2023). In-cavity pressure measurements for failure diagnosis in the injection moulding process and correlation with numerical simulation. The International Journal of Advanced Manufacturing Technology, 126(1–2), 291–300. https://doi.org/10.1007/s00170-023-11100-1
[3] ASTM D3641-02. (2002). Standard Practice for Injection Molding Test Specimens of Thermoplastic Molding and Extrusion Materials. ASTM International. https://doi.org/10.1520/D3641-02
[4] ASTM D638-02a. (2002). Standard Test Method for Tensile Properties of Plastics. ASTM International. https://doi.org/10.1520/D0638-02A
[5] Baum, M., Jasser, F., Stricker, M., Anders, D., & Lake, S. (2022). Numerical simulation of the mold filling process and its experimental validation. The International Journal of Advanced Manufacturing Technology, 120(5–6), 3065–3076. https://doi.org/10.1007/s00170-022-08888-9
[6] Chung, C. Y., Hwang, S. S., Chen, S. C., & Lai, M. C. (2021). Effects of injection molding process parameters on the chemical foaming behavior of polypropylene and polystyrene. Polymers, 13(14). https://doi.org/10.3390/polym13142331
[7] Czepiel, M., Bańkosz, M., & Sobczak-Kupiec, A. (2023). Advanced Injection Molding Methods: Review. Materials, 16(17). https://doi.org/10.3390/ma16175802
[8] De Miranda, D. A., & Nogueira, A. L. (2019). Simulation of an injection process using a CAE tool: Assessment of operational conditions and mold design on the process efficiency. Materials Research, 22(2). https://doi.org/10.1590/1980-5373-MR-2018-0564
[9] Deng, L., Fan, S., Zhang, Y., Huang, Z., Zhou, H., Jiang, S., & Li, J. (2021). Multiscale modeling and simulation of polymer blends in injection molding: A review. Polymers, 13(21), 1–26. https://doi.org/10.3390/polym13213783
[10] Fu, H., Xu, H., Liu, Y., Yang, Z., Kormakov, S., Wu, D., & Sun, J. (2020). Overview of Injection Molding Technology for Processing Polymers and Their Composites. ES Materials and Manufacturing, 8, 3–23. https://doi.org/10.30919/esmm5f713
[11] Fu, J., & Ma, Y. (2019). A method to predict early-ejected plastic part air-cooling behavior towards quality mold design and less molding cycle time. Robotics and Computer-Integrated Manufacturing, 56(July 2018), 66–74. https://doi.org/10.1016/j.rcim.2018.08.004
[12] Galuppo, W. de C., Magalhães, A., Ferrás, L. L., Nóbrega, J. M., & Fernandes, C. (2021). New boundary conditions for simulating the filling stage of the injection molding process. Engineering Computations, 38(2), 762–778. https://doi.org/10.1108/EC-04-2020-0190
[13] Godec, D., Brnadić, V., & Breški, T. (2021). Optimisation of Mould Design for Injection Moulding – Numerical Approach. Technical Journal, 15(2), 258–266. https://doi.org/10.31803/tg-20210531204548
[14] Hentati, F., Hadriche, I., Masmoudi, N., & Bradai, C. (2019). Optimization of the injection molding process for the PC/ABS parts by integrating Taguchi approach and CAE simulation. The International Journal of Advanced Manufacturing Technology, 104(9–12), 4353–4363. https://doi.org/10.1007/s00170-019-04283-z
[15] Huszar, M., Belblidia, F., Davies, H. M., Arnold, C., Bould, D., & Sienz, J. (2015). Sustainable injection moulding: The impact of materials selection and gate location on part warpage and injection pressure. Sustainable Materials and Technologies, 5, 1–8. https://doi.org/10.1016/j.susmat.2015.07.001
[16] Jachowicz, T., Gajdoš, I., Cech, V., & Krasinskyi, V. (2021). The use of numerical analysis of the injection process to select the material for the injection molding. Open Engineering, 11(1), 963–976. https://doi.org/10.1515/eng-2021-0094
[17] Jurado Páramo, J., Plascencia Mora, H., & Aguilera Gómez, E. (2021). Simulación numérica de una prueba de reología capilar para un polímero PC+ABS. Ingenio Magno, 12(1), 66–76.
[18] Kalwik, A., Humienny, R., & Mordal, K. (2022). Assessment of the Impact of Injection Moulding Process Parameters on the Properties of Mouldings Made of Low-Density Poly(ethylene) Recyclate LDPE. Archives of Metallurgy and Materials, 67(3), 1043–1049. https://doi.org/10.24425/amm.2022.139700
[19] Kashyap, S., & Datta, D. (2015). Process parameter optimization of plastic injection molding: a review. International Journal of Plastics Technology, 19(1), 1–18. https://doi.org/10.1007/s12588-015-9115-2
[20] Khosravani, M. R., & Nasiri, S. (2020). Injection molding manufacturing process: review of case-based reasoning applications. Journal of Intelligent Manufacturing, 31(4), 847–864. https://doi.org/10.1007/s10845-019-01481-0
[21] Lucyshyn, T., Enffans D’Avernas, L. V. Des, & Holzer, C. (2021). Influence of the mold material on the injection molding cycle time and warpage depending on the polymer processed. Polymers, 13(18). https://doi.org/10.3390/polym13183196
[22] Myers, M., Mulyana, R., Castro, J. M., & Hoffman, B. (2023). Experimental Development of an Injection Molding Process Window. Polymers, 15(15). https://doi.org/10.3390/polym15153207
[23] Oliaei, E., Heidari, B. S., Davachi, S. M., Bahrami, M., Davoodi, S., Hejazi, I., & Seyfi, J. (2016). Warpage and Shrinkage Optimization of Injection-Molded Plastic Spoon Parts for Biodegradable Polymers Using Taguchi, ANOVA and Artificial Neural Network Methods. Journal of Materials Science and Technology, 32(8), 710–720. https://doi.org/10.1016/j.jmst.2016.05.010
[24] Páramo, J. J., Reveles Arredondo, J. F., Mora, H. P., & Gómez, E. A. (2019). Análisis de un proceso de inyección de plástico por interacción fluido estructural y cambio de estado. Acta Universitaria, 29, 1–18. https://doi.org/10.15174/au.2019.2150
[25] Rusdi, M. S., Abdullah, M. Z., Mahmud, A. S., Khor, C. Y., Abdul Aziz, M. S., Ariff, Z. M., & Abdullah, M. K. (2016). Numerical Investigation on the Effect of Pressure and Temperature on the Melt Filling During Injection Molding Process. Arabian Journal for Science and Engineering, 41(5), 1907–1919. https://doi.org/10.1007/s13369-016-2039-0
[26] Shen, Y. K., Wu, C. W., Yu, Y. F., & Chung, H. W. (2008). Analysis for optimal gate design of thin-walled injection molding. International Communications in Heat and Mass Transfer, 35(6), 728–734. https://doi.org/10.1016/j.icheatmasstransfer.2008.01.014
[27] Veltmaat, L., Mehrens, F., Endres, H. J., Kuhnert, J., & Suchde, P. (2022). Mesh-free simulations of injection molding processes. Physics of Fluids, 34(3), 1–39. https://doi.org/10.1063/5.0085049
[28] Wang, J., Hopmann, C., Kahve, C., Hohlweck, T., & Alms, J. (2020). Measurement of specific volume of polymers under simulated injection molding processes. Materials and Design, 196, 109136. https://doi.org/10.1016/j.matdes.2020.109136
[29] Yu, S., Zhang, T., Zhang, Y., Huang, Z., Gao, H., Han, W., Turng, L. S., & Zhou, H. (2020). Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features. Journal of Intelligent Manufacturing, 33(1), 77–89. https://doi.org/10.1007/s10845-020-01658-y