Autors: Todorov, T. T., Todorov, G. D., Sofronov, Y. P.
Title: Methodology for predicting and optimizing process parameters and accuracy indicators of complex plastic parts through virtual prototypes
Keywords: accuracy, CAE, injection molding, methodology, optimization, parameters, prototyping

Abstract: The work presented demonstrate a methodology for workflow from concept to prototype and timely production of a product which typically involves three main stages: product design and development, processing and construction of tooling, and validation of the virtual prototype with a physical one. The focus of this study will be on the second stage of product development. The aim of the study is to emphasize the integration of virtual prototyping in creating complex plastic parts, which improves the injection molding filling analysis. Simulating the mold filling process in injection molding, particularly for creating complex plastic products with minimal defect rates, presents significant challenges. Although CAE software offers a wide range of options for optimization and filling analysis in injection molding, the complexity of the process means that a clear and well-defined methodology for studying it or for predicting and optimizing process parameters is lacking.

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Issue

International Conference Automatics and Informatics, ICAI 2024 - Proceedings, pp. 646-649, 2025, Albania, https://doi.org/10.1109/ICAI63388.2024.10851617

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus