Permeable boundary condition for numerical simulation in resin transfer molding

Wu, Chao; Hourng, Lih‐Wu

doi:10.1002/pen.760351603

Cited by 14 publications

(5 citation statements)

References 22 publications

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“…8. This result agrees with that in a previously published paper [19]. The relationship between infiltration time and injection pressure is shown in Table 1.…”

Section: Resultssupporting

confidence: 95%

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Numerical simulation of the pressure infiltration of fibrous preforms during MMC processing

Chang¹

2006

Advanced Composite Materials

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In the pressure infiltration process of metal-matrix composites, molten metal is injected under external pressure into a porous preform of the reinforcing phase and solidified, either during infiltration or after the mold is filled. To simplify the problem, the assumption of isothermally saturated fibrous preform with molten metal is adopted. The flow of molten metal is a moving boundary phenomenon which is similar to a fluid flowing through a porous medium. A numerical technique, body-fitted finite element method (FEM), is used to generate grids inside the physical domain and to calculate the distribution of pressure and other relative properties. Results show that the injection flow rate exponentially decreases with the infiltration time. Increasing injection pressure can effectively reduce the infiltration time. A simple and practical prediction of infiltration time under the various parameters is also provided in this study.

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“…8. This result agrees with that in a previously published paper [19]. The relationship between infiltration time and injection pressure is shown in Table 1.…”

Section: Resultssupporting

confidence: 95%

“…The body-fitted FEM [19], the combination of body-fitted grid generation with the FEM, provides numerous advantages, such as uniformly spaced grids, easy application of surface boundary conditions and modular technique, etc. It is well suited to solve the free moving boundary problem.…”

Section: Numerical Proceduresmentioning

confidence: 99%

Numerical simulation of the pressure infiltration of fibrous preforms during MMC processing

Chang¹

2006

Advanced Composite Materials

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“…[ 49,50,58,59 ] Moreover, the low difference in resin position detected at the middle of the mold by dielectric sensor S2 (at 170 mm from the inlet) and at the edge by the eyelet (see Figure 1) suggests a reduced impact of edge effects (ie, race tracking) on the resin flow. [ 60 ] Observing the capacitance curves (Figure 9A), fabric saturation was achieved after 120, 600, and 840 seconds (ie, 2, 10, and 14 minutes) from the opening of the inlet at S1, S2, and S3, respectively. [ 49 ] Saturation occurs after the establishment of the microflow from the intertow region toward the intratow when the resin starts flowing into the fiber bundles.…”

Section: Resultsmentioning

confidence: 99%

Flow enhancement in liquid composite molding processes by online microwave resin preheating

Rubino

Esperto

Tucci

et al. 2020

Polymer Engineering & Sci

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Liquid composite molding techniques are increasingly applied for the manufacturing of fiber-reinforced plastic components for civil, aerospace, and automotive applications. Being the preform impregnation a key step during the process, resin viscosity should meet the precise requirements. Opportune resin preheating increases its fluency, thus enhancing the impregnation and saturation flow through the fabric and reducing the mold filling time. This paper explores the application of microwave technology for resin preheating. The integration of an online microwave preheating system within a demonstrative resin infusion facility is described and the effects of preheating on the infusion time are discussed. Parallel-plate dielectric sensors were embedded into the mold to track the unheated and preheated resin flow through the fiber preform. The obtained results highlighted the effectiveness of online microwave heating to reduce the time required for the impregnation of the dry fiber reinforcement.

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“…where f e x R =x; x ¼ x R þ x L , as depicted in Figure 2, x R and x L are the distances from the interface to the right and left hand side of the region respectively. The relative porosity, r , was proposed by Wu and Hourng [29] as follows:…”

Section: Theorymentioning

confidence: 99%

Random Walk Approach on the Study of Distribution During the Resin Transfer Molding Process

Shih

Hourng

Chang

2004

Journal of Reinforced Plastics and Composites

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The dissolution of microscopic voids trapped between fibers during the resin transfer molding process has been monitored previously by the image analysis technique. However, due to the difficulty of tracing simultaneously the interfaces among resin and several small air pockets in the convectional numerical techniques, the dissolution and distribution of the voids are still uneasily simulated. In this paper, we consider the resin flowing perpendicularly through the fiber bundle. A Monte Carlo-like random walk approach is developed to resolve the time-dependent, free-surface flows and to study the transport of tiny bubbles by tracing the paths of fictitious random walk, colored black or white. By decomposing the Darcy s law, which provides a strong correlation function between ∇P and K/μ, the local displacing probability of random walks can be determined. Being consistent with the experimental observations, the numerical results confirm that the voids can be classified into two types, namely, voids trapped in the fiber bundles and voids distributed among the fiber bundles. Through the proposed model, the simulated results show how certain parameters influence the collapsing rate of void, which is important for the void-free design considerations.

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Permeable boundary condition for numerical simulation in resin transfer molding

Cited by 14 publications

References 22 publications

Numerical simulation of the pressure infiltration of fibrous preforms during MMC processing

Numerical simulation of the pressure infiltration of fibrous preforms during MMC processing

Flow enhancement in liquid composite molding processes by online microwave resin preheating

Random Walk Approach on the Study of Distribution During the Resin Transfer Molding Process

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