ENHANCED EFFICIENCY IN TWO-COMPONENT INJECTION MOLDING PRODUCT FOR AUTOMOTIVE APPLICATIONS

Authors

  • Todor Todorov FIT, Laboratory “CAD/CAM/CAE in Industry”, Technical University Sofia (BG)
  • Georgi Todorov FIT, Laboratory “CAD/CAM/CAE in Industry”, Technical University Sofia (BG)
  • Ivan Ivanov FIT, Laboratory “CAD/CAM/CAE in Industry”, Technical University Sofia (BG)

DOI:

https://doi.org/10.17770/etr2024vol3.8144

Keywords:

CAD modeling, filling analysis, two-component molding, optimization, injection molding, polymer

Abstract

The presented study is focused on an optimization analysis of a complex automotive component consisting of two parts with different materials. The research examines the impact of various runner configurations, cooling parameters, gate positioning, and melt temperature distribution within the mold. The paper emphasizes the advantages and applications of integrating such optimization techniques. Parametric and geometric optimization of the model is done, along with the evaluation of simulated filling processes, as clarified for the paper's objectives. Additionally, a methodical approach is outlined, clearing the process of operational rate selection, material property analysis, control parameter establishment, and preemptive simulations.
Supporting Agencies
This study is financed by the European Union-Next Generation EU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project № BG-RRP-2.004-0005.

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References

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Published

2024-06-22

Issue

Vol. 3 (2024): Environment. Technology. Resources. Proceedings of the 15th International Scientific and Practical Conference. Volume 3

Section

Engineering Sciences and Production Technologies

License

Copyright (c) 2024 Todor Todorov, Georgi Todorov, Ivan Ivanov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Todorov, G. Todorov, and I. Ivanov, “ENHANCED EFFICIENCY IN TWO-COMPONENT INJECTION MOLDING PRODUCT FOR AUTOMOTIVE APPLICATIONS”, ETR, vol. 3, pp. 312–318, Jun. 2024, doi: 10.17770/etr2024vol3.8144.