Abstract
The main goal of injection molding process is to generate complex geometries using least amount of input energy, based on an understanding of a methodical perceptive of process mechanisms. The modeling approaches would contain numerical methods, analytical tools and parametric investigations. In this paper, the challenges including vital reasons for imprecision in the prediction, development of routine evaluation measures in spite of process setting variations, and research lines to facilitate the most efficient combination of control factors aiming at optimization are explored. It is anticipated that deformation trends at real circumstances could be predicted for its overall minimization and a physical relationship with control variables such as working temperature and system pressure would be developed at all process conditions.
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Acknowledgments
The authors would like to thank the Principal, Head of the Department, Mechanical Engineering, all faculty, staff and students of Government College of Engineering Kannur, Kerala, India.
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Pattali, V., Govindan, P., Vipindas, M.P. (2020). Towards Modeling of Polymer Injection Molding Process – Approaches for Evaluation of the Processing Conditions, Control Factors and Optimization. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_71
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