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A dimensionless characteristic number for process selection and mold design in composites manufacturing : part I — theory

Claudio Di Fratta, Yixun Sun, Philippe Causse et François Trochu

Article de revue (2020)

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Abstract

The present article introduces a dimensionless number devised to assist composite engineers in the fabrication of continuous fiber composites by Liquid Composite Molding (LCM), i.e., by injecting a liquid polymer resin through a fibrous reinforcement contained in a closed mold. This dimensionless number is calculated by integrating the ratio of the injection pressure to the liquid viscosity over the cavity filling time. It is hereby called the “injectability number” and provides an evaluation of the difficulty to inject a liquid into a porous material for a given part geometry, permeability distribution, and position of the inlet gate. The theoretical aspects behind this new concept are analyzed in Part I of the article, which demonstrates the invariance of the injectability number with respect to process parameters like constant and varying injection pressure or flow rate. Part I also details how process engineers can use the injectability number to address challenges in composite fabrication, such as process selection, mold design, and parameter optimization. Thanks to the injectability number, the optimal position of the inlet gate can be assessed and injection parameters scaled to speed up mold design. Part II of the article completes the demonstration of the novel concept by applying it to a series of LCM process examples of increasing complexity.

Mots clés

continuous fiber composites; resin injection; RTM; process design; mold complexity

Sujet(s): 2100 Génie mécanique > 2100 Génie mécanique
Département: Département de génie mécanique
Centre de recherche: CREPEC - Centre de recherche sur les systèmes polymères et composites à haute performance
Organismes subventionnaires: CRSNG / NSERC, Research Center for High Performance Polymer and Composite Systems (CREPEC), Fonds de Recherche Québécois sur la Nature et les Technologies (FRQNT)
URL de PolyPublie: https://publications.polymtl.ca/9397/
Titre de la revue: Journal of Composites Science (vol. 4, no 1)
Maison d'édition: MDPI
DOI: 10.3390/jcs4010011
URL officielle: https://doi.org/10.3390/jcs4010011
Date du dépôt: 16 août 2023 13:56
Dernière modification: 10 avr. 2024 00:06
Citer en APA 7: Di Fratta, C., Sun, Y., Causse, P., & Trochu, F. (2020). A dimensionless characteristic number for process selection and mold design in composites manufacturing : part I — theory. Journal of Composites Science, 4(1), 11 (16 pages). https://doi.org/10.3390/jcs4010011

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