Air permeability characterization of glass fiber nonwoven fabric for liquid composite molding applications

Ince, Mehmet Erdem

doi:10.1088/1757-899x/459/1/012046

Cited by 2 publications

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“…Thus, measurements of only three distinct scalar coefficients is required, which can be done according to existing procedures reported in the literature [13][14][15][16][17][18][19][20][21]. A further simplification is possible: as the thickness of the reinforcement is small compared to its length and width, the problem can be assumed to be 2D.…”

Section: Methods Used For Materials Properties Characterizationmentioning

confidence: 99%

“…Most of them evaluate the in-plane permeability [13,14], concluding that radial flow (liquid injected from transverse direction at well-defined locations to evaluate 2D permeability) and linear flow (liquid injected from one end of the composite preform to evaluate 1D permeability) experiments give consistent results. The through-the-thickness permeability is more complex to determine [15][16][17][18][19][20][21] and is usually neglected because of the small thicknesses of the preforms.…”

Section: Introductionmentioning

confidence: 99%

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Material Characterization for Reliable Resin Transfer Molding Process Simulation

et al. 2020

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Resin transfer molding (RTM) technologies are widely used in automotive, marine, and aerospace applications. The need to evaluate the impact of design and production critical choices, also in terms of final costs, leads to the wider use of numerical simulation in the preliminary phase of component development. The main issue for accurate RTM analysis is the reliable characterization of the involved materials. The aim of this paper is to present a validated methodology for material characterization to be implemented and introduce data elaboration in the ESI PAM-RTM software. Experimental campaigns for reinforcement permeabilities and resin viscosity measurement are presented and discussed. Finally, the obtained data are implemented in the software and then compared to experimental results in order to validate the described methodology.

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