A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes

In liquid composite molding processes, such as resin transfer molding (RTM) and vacuum assisted resin transfer molding (VARTM), the resin is drawn through fiber preforms in a closed mold by an induced pressure gradient. Unlike the RTM, where a rigid mold is employed, in VARTM, a flexible bag is comm...

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Main Authors: Felice Rubino, Pierpaolo Carlone
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Polymers
Subjects:
Online Access:http://www.mdpi.com/2073-4360/11/1/20
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spelling doaj-45d7f6a0f4224d89810c7f5774b3c6712020-11-24T21:40:06ZengMDPI AGPolymers2073-43602018-12-011112010.3390/polym11010020polym11010020A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP ProcessesFelice Rubino0Pierpaolo Carlone1Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), ItalyDepartment of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), ItalyIn liquid composite molding processes, such as resin transfer molding (RTM) and vacuum assisted resin transfer molding (VARTM), the resin is drawn through fiber preforms in a closed mold by an induced pressure gradient. Unlike the RTM, where a rigid mold is employed, in VARTM, a flexible bag is commonly used as the upper-half mold. In this case, fabric deformation can take place during the impregnation process as the resin pressure inside the preform changes, resulting in continuous variations of reinforcement thickness, porosity, and permeability. The proper approach to simulate the resin flow, therefore, requires coupling deformation and pressure field making the process modeling more complex and computationally demanding. The present work proposes an efficient methodology to add the effects of the preform compaction on the resin flow when a deformable porous media is considered. The developed methodology was also applied in the case of Seeman’s Composite Resin Infusion Molding Process (SCRIMP). Numerical outcomes highlighted that preform compaction significantly affects the resin flow and the filling time. In particular, the more compliant the preform, the more time is required to complete the impregnation. On the other hand, in the case of SCRIMP, the results pointed out that the resin flow is mainly ruled by the high permeability network.http://www.mdpi.com/2073-4360/11/1/20liquid composite moldingvacuum assisted resin transfer moldingdeformable porous mediumdistribution mediapreform compactionprocess simulation
collection DOAJ
language English
format Article
sources DOAJ
author Felice Rubino
Pierpaolo Carlone
spellingShingle Felice Rubino
Pierpaolo Carlone
A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
Polymers
liquid composite molding
vacuum assisted resin transfer molding
deformable porous medium
distribution media
preform compaction
process simulation
author_facet Felice Rubino
Pierpaolo Carlone
author_sort Felice Rubino
title A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
title_short A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
title_full A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
title_fullStr A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
title_full_unstemmed A Semi-Analytical Model to Predict Infusion Time and Reinforcement Thickness in VARTM and SCRIMP Processes
title_sort semi-analytical model to predict infusion time and reinforcement thickness in vartm and scrimp processes
publisher MDPI AG
series Polymers
issn 2073-4360
publishDate 2018-12-01
description In liquid composite molding processes, such as resin transfer molding (RTM) and vacuum assisted resin transfer molding (VARTM), the resin is drawn through fiber preforms in a closed mold by an induced pressure gradient. Unlike the RTM, where a rigid mold is employed, in VARTM, a flexible bag is commonly used as the upper-half mold. In this case, fabric deformation can take place during the impregnation process as the resin pressure inside the preform changes, resulting in continuous variations of reinforcement thickness, porosity, and permeability. The proper approach to simulate the resin flow, therefore, requires coupling deformation and pressure field making the process modeling more complex and computationally demanding. The present work proposes an efficient methodology to add the effects of the preform compaction on the resin flow when a deformable porous media is considered. The developed methodology was also applied in the case of Seeman’s Composite Resin Infusion Molding Process (SCRIMP). Numerical outcomes highlighted that preform compaction significantly affects the resin flow and the filling time. In particular, the more compliant the preform, the more time is required to complete the impregnation. On the other hand, in the case of SCRIMP, the results pointed out that the resin flow is mainly ruled by the high permeability network.
topic liquid composite molding
vacuum assisted resin transfer molding
deformable porous medium
distribution media
preform compaction
process simulation
url http://www.mdpi.com/2073-4360/11/1/20
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