Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rocha, Sofia B., Zhiltsova, Tatiana, Neto, Victor, Oliveira, Mónica S. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784734935376986112
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
work_keys_str_mv AT rochasofiab optimizationtoassistdesignandanalysisoftemperaturecontrolstrategiesforinjectionmoldingareview
AT zhiltsovatatiana optimizationtoassistdesignandanalysisoftemperaturecontrolstrategiesforinjectionmoldingareview
AT netovictor optimizationtoassistdesignandanalysisoftemperaturecontrolstrategiesforinjectionmoldingareview
AT oliveiramonicasa optimizationtoassistdesignandanalysisoftemperaturecontrolstrategiesforinjectionmoldingareview