Comparisons of novel and efficient approaches for permeability prediction based on the fabric architecture

Wong, CW; Long, A.C.; Sherburn, Martin; Robitaille, F.; Harrison, Philip G.; Rudd, C.D.

doi:10.1016/j.compositesa.2005.01.020

Cited by 85 publications

(49 citation statements)

References 16 publications

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“…Indeed, common simulation practice is to start with permeability values as found in the literature for similar materials, rather than performing an experimental determination of K with fabric samples under planned infusion process conditions. For the type of materials and fibre bed architecture considered in this work, the permeability value and variation range reported by [31,32,34,37] can be considered. Thus, based on these studies, the lower bound for a suitable permeability value could be set to K = 6.7 · 10 −12 m 2 , while an upper bound could be considered as K = 3.1 · 10 −11 m 2 .…”

Section: Discussionmentioning

confidence: 99%

“…Further, a permeability value needs to be determined. Numerical techniques described in literature [31,32] can be used to determine the permeability of the fabric. However, the high dependence of permeability on material parameters such as reinforcement architecture, layup sequence, etc., results in considerable variation when evaluating this parameter through analytical or numerical methods.…”

Section: Step 1-model Initialisationmentioning

confidence: 99%

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Impact of the Fibre Bed on Resin Viscosity in Liquid Composite Moulding Simulations

et al. 2011

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In the past, simulation of liquid composite moulding processes was often based on the assumption that resin viscosity could be implemented as a constant value. However, viscosity can be subject to changes during the infusion process and now, non-constant and process parameter dependent expressions have become more common in simulation practice. Nevertheless, even with the inclusion of more advanced resin viscosity models, the prediction of flow front propagation in large, thick composite parts or in slow infusion processes is often still inaccurate when compared to the real application. Discrepancies are found to be most pronounced in the final stages of the infusion process, exactly where high accuracy predictions are 670 Appl Compos Mater (2012) 19:669-688 most valued. A new simulation method based on an infusion time-dependent resin viscosity expression is proposed in this work. The method not only incorporates nonlinear viscosity behaviour, but also takes into account the impact of reinforcement fibre sizing and fibre bed architecture on resin viscosity characteristics. Such fibre bed effects are not identifiable in neat resin viscosity characterization tests but are thought to have substantial impact on in-situ viscosity values during infusion, especially for large, thick composite part applications and slow infusion processes. An application case study has been included to demonstrate the prediction capability of the proposed simulation method. The design of an infusion process for a composite pressure vessel was selected for this purpose. Results show high predictive power throughout the infusion process, with most pronounced benefit in the final infusion stages.

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Section: Discussionmentioning

confidence: 99%

Section: Step 1-model Initialisationmentioning

confidence: 99%

Impact of the Fibre Bed on Resin Viscosity in Liquid Composite Moulding Simulations

et al. 2011

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“…Most of the approaches for permeability prediction 7,19,23,24 are based on the multi-scale homogenisation procedure, which assumes separation of the scales to simplify the modelling of the flow, e.g. flow in a unidirectional (UD) fibre bundle (micro-scale) is considered separately from the meso-scale flow and then homogenised.…”

Section: Permeability Modellingmentioning

confidence: 99%

“…Experimental data from those studies were used in the models of textile reinforcements with variability in the geometry and used for prediction of probability of draping outcomes, 8 distribution of mechanical properties 12 and permeability. 7,[16][17][18][19][20] In particular, it was demonstrated that the mould fill time can be several times longer than the fill time in the deterministic case. 18 The geometry of a dry reinforcement can be described by a model where tow position, tow width and other details are described by a set of random variables, which may be mutually independent or can be correlated.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in geometry of fibre preforms manufactured with Automated Dry Fibre Placement and its effects on permeability

Matveev

Ball

Jones

et al. 2017

Journal of Composite Materials

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Resin transfer moulding is one of several processes available for manufacturing fibre-reinforced composites from dry fibre reinforcement. Recently, dry reinforcements made with Automated Dry Fibre Placement have been introduced into the aerospace industry. Typically, the permeability of the reinforcement is assumed to be constant throughout the dry preform geometry, whereas in reality, it possesses inevitable uncertainty due to variability in geometry. This uncertainty propagates to the uncertainty of the mould filling and the fill time, one of the important variables in resin injection. It makes characterisation of the permeability and its variability an important task for design of the resin transfer moulding process. In this study, variability of the geometry of a reinforcement manufactured using Automated Dry Fibre Placement is studied. Permeability of the manufactured preforms is measured experimentally and compared to stochastic simulations based on an analytical model and a stochastic geometry model. The simulations showed that difference between the actual geometry and the designed geometry can result in 50% reduction of the permeability. The stochastic geometry model predicts results within 20% of the experimental values.

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“…A pioneering work was done by Lomov et al (2001) who developed a software tool, WiseTex, for geometry modelling of internal structure of textile reinforcement, such as 2D/3D woven, bi-axial/triaxial braided and knitted etc., transferring data into general FE codes. A similar work was carried out by a Textile Composites Research Group at the University of Nottingham in UK (Wong et al 2006). A Python-based open-source software, TexGen, combined geometry building with volume-meshing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Damage Evolution in Braided Composites: Recent Developments

Wang

Roy

Zhong

2017

Mech Adv Mater Mod Process

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Composites reinforced with woven or braided textiles exhibit high structural stability and excellent damage tolerance thanks to yarn interlacing. With their high stiffness-to-weight and strength-to-weight ratios, braided composites are attractive for aerospace and automotive components as well as sports protective equipment. In these potential applications, components are typically subjected to multi-directional static, impact and fatigue loadings. To enhance material analysis and design for such applications, understanding mechanical behaviour of braided composites and development of predictive capabilities becomes crucial. Significant progress has been made in recent years in development of new modelling techniques allowing elucidation of static and dynamic responses of braided composites. However, because of their unique interlacing geometric structure and complicated failure modes, prediction of damage initiation and its evolution in components is still a challenge. Therefore, a comprehensive literature analysis is presented in this work focused on a review of the state-of-the-art progressive damage analysis of braided composites with finite-element simulations. Recently models employed in the studies on mechanical behaviour, impact response and fatigue analyses of braided composites are presented systematically. This review highlights the importance, advantages and limitations of as-applied failure criteria and damage evolution laws for yarns and composite unit cells. In addition, this work provides a good reference for future research on FE simulations of braided composites.

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Comparisons of novel and efficient approaches for permeability prediction based on the fabric architecture

Cited by 85 publications

References 16 publications

Impact of the Fibre Bed on Resin Viscosity in Liquid Composite Moulding Simulations

Impact of the Fibre Bed on Resin Viscosity in Liquid Composite Moulding Simulations

Uncertainty in geometry of fibre preforms manufactured with Automated Dry Fibre Placement and its effects on permeability

Modelling of Damage Evolution in Braided Composites: Recent Developments

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