PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Cao, W., Shen, Y., Wang, P., Yang, H., Zhao, S., & Shen, C. (2019). Viscoelastic modeling and simulation for polymer melt flow in injection/compression molding. Journal of Non-Newtonian Fluid Mechanics, 274, Article 104186. https://doi.org/10.1016/j.jnnfm.2019.104186.

• Finkeldey, F., Volke, J., Zarges, J. C., Heim, H. P., & Wiederkehr, P. (2020). Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data. Journal of Manufacturing Processes, 60, 134-143. https://doi.org/10.1016/j.jmapro.2020.10.028.

• Gou, G., Xie, P., Yang, W., & Ding, Y. (2011). Online measurement of rheological properties of polypropylene based on an injection molding machine to simulate the injection-molding process. Polymer Testing, 30(8), 826-832. https://doi.org/10.1016/j.polymertesting.2011.08.005.

• Hassan, H., Regnier, N., Pujos, C., Arquis, E., & Defaye, G. (2010). Modeling the effect of cooling system on the shrinkage and temperature of the polymer by injection molding. Applied Thermal Engineering, 30(13), 1547-1557. https://doi.org/10.1016/j.applthermaleng.2010.02.025.

• Khor, C. Y., Ariff, Z. M., Ani, F. C., Mujeebu, M. A., Abdullah, M. K., Abdullah, M. Z., & Joseph, M. A. (2010). Three-dimensional numerical and experimental investigations on polymer rheology in meso-scale injection molding. International Communications in Heat and Mass Transfer, 37(2), 131-139. https://doi.org/10.1016/j.icheatmasstransfer.2009.08.011.

• Khosravani, M. R., Nasiri, S., & Reinicke, T. (2022). Intelligent knowledge-based system to improve injection molding process. Journal of Industrial Information Integration, 25, Article 100275. https://doi.org/10.1016/j.jii.2021.100275.

• Köhn, C., van Laethem, D., Deconinck, J., & Hubin, A. (2021). A simulation study of steric effects on the anodic dissolution at high current densities. Materials and Corrosion, 72(4), 610-619. https://doi.org/10.1002/maco.202012051.

• Koszkul, J., & Nabialek, J. (2004). Viscosity models in simulation of the filling stage of the injection molding process. Journal of Materials Processing Technology, 157(2), 183-187. https://doi.org/10.1016/j.jmatprotec.2004.09.027.

• Kwon, Y. I., Lim, E., & Song, Y. S. (2018). Simulation of injection-compression molding for thin and large battery housing. Current Applied Physics, 18(11), 1451-1457. https://doi.org/10.1016/j.cap.2018.08.017.

• Malgarinos, I., Nikolopoulos, N., Marengo, M., Antonini, C., & Gavaises, M. (2014). VOF simulations of the contact angle dynamics during the drop spreading: Standard models and a new wetting force model. Advances in Colloid and Interface Science, 212, 1-20. https://doi.org/10.1016/j.cis.2014.07.004.

• Nagasundaram, N., Devi, R. S., Rajkumar, M. K., Sakthivelrajan, K., & Arravind, R. (2021). Experimental investigation of injection moulding using thermoplastic polyurethane. Materials Today: Proceedings, 45, 2286-2288. https://doi.org/10.1016/j.matpr.2020.10.264.

• Patil, D. C., Kelageri, N. K., Janawade, S. A., & Mishrikoti, M. S. (2021). Design and analysis of 25 T injection molding machine. Materials Today: Proceedings, 46, 2596-2601. https://doi.org/10.1016/j.matpr.2021.02.262.

• Rusdi, M. S., Abdullah, M. Z., Mahmud, A. S., Khor, C. Y., Aziz, A., 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.

• Sahli, M., Barriere, T., & Roizard, X. (2020). Experimental and numerical investigations of bi-injection moulding of PA66/LSR peel test specimens. Polymer Testing, 90, Article 106748. https://doi.org/10.1016/j.polymertesting.2020.106748.

• Szabó, F., Suplicz, A., & Kovács, J. G. (2021). Development of injection molding simulation algorithms that take into account segregation. Powder Technology, 389, 368-375. https://doi.org/10.1016/j.powtec.2021.05.053.

• Tosello, G., & Costa, F. S. (2019). High precision validation of micro injection molding process simulations. Journal of Manufacturing Processes, 48, 236-248. https://doi.org/10.1016/j.jmapro.2019.10.014.

• Trad, M. A. B., Demers, V., Côté, R., Sardarian, M., & Dufresne, L. (2020). Numerical simulation and experimental investigation of mold filling and segregation in low-pressure powder injection molding of metallic feedstock. Advanced Powder Technology, 31(3), 1349-1358. https://doi.org/10.1016/j.apt.2020.01.018.

• Tran, N. T., & Gehde, M. (2019). Creating material data for thermoset injection molding simulation process. Polymer Testing, 73, 284-292. https://doi.org/10.1016/j.polymertesting.2018.11.042.

• Wang, J., Hopmann, C., Kahve, C., Hohlweck, T., & Alms, J. (2020). Measurement of specific volume of polymers under simulated injection molding processes. Materials & Design, 196, Article 109136. https://doi.org/10.1016/j.matdes.2020.109136

• Zhang, H., Fang, F., Gilchrist, M. D., & Zhang, N. (2019). Precision replication of micro features using micro injection moulding: Process simulation and validation. Materials & Design, 177, Article 107829. https://doi.org/10.1016/j.matdes.2019.107829.