Numerical modeling of vacuum-assisted resin transfer molding using multilayer approach

Loudad, Raounak; Saouab, Abdelghani; Beauchêne, Pierre; Agogué, Romain; Desjoyeaux, Bertrand

doi:10.1177/0021998316687145

Cited by 17 publications

(10 citation statements)

References 39 publications

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“…In literature, equation (16) or its equivalents are solved, 8,11,15,52 or it can be further re-arranged as follows using the chain rule where ∂h∂vf and ∂vf∂P are calculated using equations (9) and (10) respectively and ∂vf∂P=−∂vf∂Pc.…”

Section: Modelingmentioning

confidence: 99%

“…These types of compaction experiments are commonly performed using Universal Testing Machine where the compaction force (and thus the compaction pressure) is tracked for a preset thickness evolution. 28,[48][49][50][51][52] In these experiments, distributed sensors can also be embedded between the compaction setup and the reinforcement to assess the local pressure distribution during compaction. [53][54][55] Pressure-controlled experiments mimic the VI process where the reinforcement thickness is dictated by the compaction pressure.…”

Section: Compaction Characterizationmentioning

confidence: 99%

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Monitoring and modeling of part thickness evolution in vacuum infusion process

Caglar

Hancioglu

Sozer

2020

Journal of Composite Materials

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The main hurdles in Vacuum Infusion (VI) are the difficulty in achieving complete mold filling and uniform part thickness. This study integrates process monitoring by full field thickness measurements and resin flow modeling that accounts for compaction and permeability characterizations of fabric reinforcements to assess the evolution of part thickness during filling and post-filling stages of VI process. A Structured Light Scanning system is used for full field thickness monitoring in experiments and a Control Volume Finite Element Method solver is implemented to couple resin flow with fabric’s compaction and permeability. Two cases are studied both experimentally and numerically. Evolutions of thickness and pressure validate the developed flow solver, its accuracy in terms of predicting fill times and fill patterns, suitability and limitations of the elastic compaction models for thickness modeling.

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Section: Modelingmentioning

confidence: 99%

Section: Compaction Characterizationmentioning

confidence: 99%

Monitoring and modeling of part thickness evolution in vacuum infusion process

Caglar

Hancioglu

Sozer

2020

Journal of Composite Materials

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“…VI can be a cost-effective alternative to the conventional autoclave prepreg process, especially for the manufacture of large and complex unitized composite structures [1][2][3][4][5][6][7][8]. In VI, a dry fiber preform is placed on a one-sided rigid mold and sealed with a flexible vacuum bag, and resin is infused into the preform under vacuum pressure, then heated and cured [6][7][8][9][10][11][12]. Interest in VI has grown rapidly in recent years, particularly in the aerospace industry, which seeks to reduce the manufacturing costs associated with prepreg processing.…”

Section: Introductionmentioning

confidence: 99%

In situ resin age assessment using dielectric analysis and resin cure map for efficient vacuum infusion

Shin

Nutt

2020

Advanced Manufacturing: Polymer & Composites Science

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The physical state of epoxy resin designed for vacuum infusion was assessed in situ by immersing a dielectric sensor into the resin pot. The measured ion viscosity of aged resin was directly converted to a degree-of-cure metric using a resin cure map constructed by correlating cure kinetics and dielectric analysis data. Next, an age-adjusted infusion process map was employed to define a nominal infusion window and to identify key process metrics. Finally, process simulations and flow contour maps were used to validate and refine the process map and to guide adjustment of infusion process parameters based on resin age and part size/geometry. The study describes a pathway to more efficient use of aged resin using in situ process diagnostics, cure map design, and process simulation. The methodology employed to evaluate resin age and to adjust process parameters accordingly can be extended to other composite manufacturing processes, including conventional prepreg processing.

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“…Bayldon and Daniel [41] reported a saturation depended preform thickness model. Raounak et al [42] developed a multi-layer model. Rubino and Carlone [43] suggested an integrated structural-fluid dynamic approach.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Experimental Validation of the VARTM Process for Thin-Walled Preforms

Larsson

Rouhi

2019

Polymers

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In this paper, recent shell model is advanced towards the calibration and validation of the Vacuum-assisted Resin Transfer Molding (VARTM) process in a novel way. The model solves the nonlinear and strongly coupled resin flow and preform deformation when the 3-D flow and stress problem is simplified to a corresponding 2-D problem. In this way, the computational efficiency is enhanced dramatically, which allows for simulations of the VARTM process of large scale thin-walled structures. The main novelty is that the assumptions of the neglected through-thickness flow and the restricted preform deformation along the normal of preform surface suffice well for the thin-walled VARTM process. The model shows excellent agreement with the VARTM process experiment. With good accuracy and high computational efficiency, the shell model provides an insight into the simulation-based optimization of the VARTM process. It can be applied to either determine locations of the gate and vents or optimize process parameters to reduce the deformation.

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Numerical modeling of vacuum-assisted resin transfer molding using multilayer approach

Cited by 17 publications

References 39 publications

Monitoring and modeling of part thickness evolution in vacuum infusion process

Monitoring and modeling of part thickness evolution in vacuum infusion process

In situ resin age assessment using dielectric analysis and resin cure map for efficient vacuum infusion

Modeling and Experimental Validation of the VARTM Process for Thin-Walled Preforms

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