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Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation
A numerical analysis of the influence of race tracking on dry spots formation and the accuracy of permeability measurement during the resin-transfer-molding process is presented. In the numerical simulation of the mold-filling process, defects are randomly generated, and their effect is assessed by...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302863/ https://www.ncbi.nlm.nih.gov/pubmed/37374621 http://dx.doi.org/10.3390/ma16124438 |
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author | Agogué, Romain Shakoor, Modesar Beauchêne, Pierre Park, Chung Hae |
author_facet | Agogué, Romain Shakoor, Modesar Beauchêne, Pierre Park, Chung Hae |
author_sort | Agogué, Romain |
collection | PubMed |
description | A numerical analysis of the influence of race tracking on dry spots formation and the accuracy of permeability measurement during the resin-transfer-molding process is presented. In the numerical simulation of the mold-filling process, defects are randomly generated, and their effect is assessed by a Monte Carlo simulation method. The effect of race tracking on the unsaturated permeability measurement and dry spots formation is investigated on flat plates. It is observed that the race-tracking defects located near the injection gate increase up to 40% of the value of the measured unsaturated permeability. The race-tracking defects located near the air vents are more likely to generate dry spots, whereas those near the injection gates have a less significant influence on dry spots generation. Depending on vent location, it has for instance been shown that the dry spot area can increase by a factor of 30. Dry spots may be mitigated by placing an air vent at a suitable location based on the numerical analysis results. Moreover, those results may be helpful to determine optimal sensor locations for the on-line control of mold-filling processes. Finally, the approach is successfully applied to a complex geometry. |
format | Online Article Text |
id | pubmed-10302863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103028632023-06-29 Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation Agogué, Romain Shakoor, Modesar Beauchêne, Pierre Park, Chung Hae Materials (Basel) Article A numerical analysis of the influence of race tracking on dry spots formation and the accuracy of permeability measurement during the resin-transfer-molding process is presented. In the numerical simulation of the mold-filling process, defects are randomly generated, and their effect is assessed by a Monte Carlo simulation method. The effect of race tracking on the unsaturated permeability measurement and dry spots formation is investigated on flat plates. It is observed that the race-tracking defects located near the injection gate increase up to 40% of the value of the measured unsaturated permeability. The race-tracking defects located near the air vents are more likely to generate dry spots, whereas those near the injection gates have a less significant influence on dry spots generation. Depending on vent location, it has for instance been shown that the dry spot area can increase by a factor of 30. Dry spots may be mitigated by placing an air vent at a suitable location based on the numerical analysis results. Moreover, those results may be helpful to determine optimal sensor locations for the on-line control of mold-filling processes. Finally, the approach is successfully applied to a complex geometry. MDPI 2023-06-16 /pmc/articles/PMC10302863/ /pubmed/37374621 http://dx.doi.org/10.3390/ma16124438 Text en © 2023 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 | Article Agogué, Romain Shakoor, Modesar Beauchêne, Pierre Park, Chung Hae Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title | Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title_full | Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title_fullStr | Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title_full_unstemmed | Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title_short | Analysis and Minimization of Race Tracking in the Resin-Transfer-Molding Process by Monte Carlo Simulation |
title_sort | analysis and minimization of race tracking in the resin-transfer-molding process by monte carlo simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302863/ https://www.ncbi.nlm.nih.gov/pubmed/37374621 http://dx.doi.org/10.3390/ma16124438 |
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