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Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review
Injection molding (IM) is the most widespread and economical way to obtain high-quality plastic components. The process depends, however, to a great extent, on the quality and efficiency of the injection molding tools. Given the nature of the IM process, the temperature control system (TCS), its des...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230000/ https://www.ncbi.nlm.nih.gov/pubmed/35744105 http://dx.doi.org/10.3390/ma15124048 |
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author | Rocha, Sofia B. Zhiltsova, Tatiana Neto, Victor Oliveira, Mónica S. A. |
author_facet | Rocha, Sofia B. Zhiltsova, Tatiana Neto, Victor Oliveira, Mónica S. A. |
author_sort | Rocha, Sofia B. |
collection | PubMed |
description | Injection molding (IM) is the most widespread and economical way to obtain high-quality plastic components. The process depends, however, to a great extent, on the quality and efficiency of the injection molding tools. Given the nature of the IM process, the temperature control system (TCS), its design, and its efficiency are of utmost importance for achieving the highest possible quality of plastic parts in the shortest possible time. For that reason, the implementation of additive manufacturing (AM) in novel IM temperature control strategies has gained considerable interest in academia and industry over the years. Conformal cooling channels (CCCs) are TCSs that have already demonstrated great potential when compared to conventional gun-drilling systems. Nevertheless, despite the recent advances, the design of these systems is still an open field of study and requires additional research in both aspects deemed as critical: thermo-mechanical models and the application of optimization techniques. This review paper tackles all the relevant, available papers on this topic, highlighting thermo-mechanical models developed by TCS designers and the optimization techniques used. The articles were thoroughly analyzed, and key points on the design of new TCS and new opportunities were identified. |
format | Online Article Text |
id | pubmed-9230000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92300002022-06-25 Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review Rocha, Sofia B. Zhiltsova, Tatiana Neto, Victor Oliveira, Mónica S. A. Materials (Basel) Review Injection molding (IM) is the most widespread and economical way to obtain high-quality plastic components. The process depends, however, to a great extent, on the quality and efficiency of the injection molding tools. Given the nature of the IM process, the temperature control system (TCS), its design, and its efficiency are of utmost importance for achieving the highest possible quality of plastic parts in the shortest possible time. For that reason, the implementation of additive manufacturing (AM) in novel IM temperature control strategies has gained considerable interest in academia and industry over the years. Conformal cooling channels (CCCs) are TCSs that have already demonstrated great potential when compared to conventional gun-drilling systems. Nevertheless, despite the recent advances, the design of these systems is still an open field of study and requires additional research in both aspects deemed as critical: thermo-mechanical models and the application of optimization techniques. This review paper tackles all the relevant, available papers on this topic, highlighting thermo-mechanical models developed by TCS designers and the optimization techniques used. The articles were thoroughly analyzed, and key points on the design of new TCS and new opportunities were identified. MDPI 2022-06-07 /pmc/articles/PMC9230000/ /pubmed/35744105 http://dx.doi.org/10.3390/ma15124048 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rocha, Sofia B. Zhiltsova, Tatiana Neto, Victor Oliveira, Mónica S. A. Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title | Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title_full | Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title_fullStr | Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title_full_unstemmed | Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title_short | Optimization to Assist Design and Analysis of Temperature Control Strategies for Injection Molding—A Review |
title_sort | optimization to assist design and analysis of temperature control strategies for injection molding—a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230000/ https://www.ncbi.nlm.nih.gov/pubmed/35744105 http://dx.doi.org/10.3390/ma15124048 |
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