Air Flow through Textile Fabrics

Goodings, A.

doi:10.1177/004051756403400808

Cited by 46 publications

(27 citation statements)

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“…It looks here that at least two elements are opposed to each other: fabric geometry and filament configuration in multifilament yarns or in otherworld size of pores and number of pores per unit area, as similarly concluded by Stankovic et al, 2009, in case of knitted fabrics [26]. Gooding et al, (1964) [27] also similarly inferred that the increased number of pores per unit area would reduce the air permeability due to higher air drag force to air flow due to increase available specific area inside the total number of pores of reduced size. The uneven surface of intermingled, textured, and flat yarn configurations may also have been a reason for closing the interyarn stices in woven fabric and diminishing the air permeability.…”

Section: Resultsmentioning

confidence: 73%

Ultraviolet Protection by Fabric Engineering

Singh¹,

Singh

2013

Journal of Textiles

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Background. The increasing emission of greenhouse gases has evoked the human being to save the ozone layer and minimize the risk of ultraviolet radiation (UVR). Various fabric structures have been explored to achieve desired ultraviolet protection factor (UPF) in various situations. Objective. In this study, the effect of various filament configurations like twisted, flat, intermingled, and textured in multifilament yarns on fabric in different combinations is assessed in order to engineer a fabric of better ultraviolet protection factor (UPF). Methods. In order to engineer a fabric having optimum UV protection with sufficient comfort level in multifilament woven fabrics, four different yarn configurations, intermingled, textured, twisted, and flat, were used to develop twelve different fabric samples. The most UV absorbing and most demanding fibre polyethylene terephthalate (PET) was considered in different filament configuration. Results. The combinations of intermingled warp with flat, intermingled, and textured weft provided excellent UVR protection comparatively at about 22.5 mg/cm 2 fabric areal density. The presence of twisted yarn reduced the UV protection due to enhanced openness in fabric structure. Conclusion. The appropriate combination of warp and weft threads of different configuration should be selected judiciously in order to extract maximum UV protection and wear comfort attributes in multifilament woven PET fabrics.

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Section: Resultsmentioning

confidence: 73%

Ultraviolet Protection by Fabric Engineering

Singh¹,

Singh

2013

Journal of Textiles

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“…Flow through woven media has often been modeled on two different fiber scales, the multifiber yarns and the intrayarn fibers. Goodings (1964), Breard et al (2003) and Wang et al (2006) all model flow through the fabric with varying pore sizes. The filtration model of Benesse et al (2006), uses two different single fiber efficiencies for the yarn and the fibers.…”

Section: Modeling Approachmentioning

confidence: 99%

Investigation of Aerosol Penetration Through Individual Protective Equipment in Elevated Wind Conditions

Hill

Ghee

Kaufman

et al. 2013

Aerosol Science and Technology

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A methodology to characterize particle penetration characteristics of individual protective equipment (IPE) under elevated wind conditions was developed. Performance of a complete IPE system can be determined from the knowledge of the performance characteristics of the IPE subsystems, or components. Here, particle penetration characteristics of a cylindrical-shaped component, consisting of an outer fabric sleeve enclosing an inner appendage, were studied as a function of particle size and ambient wind conditions. A component particle penetration model was developed by combining a potential flow model to calculate flow through and around a component with a filtration model. The filtration model combines classical filtration theory with simple bench-top experiments to determine net particle penetration. The component model predictions of particle penetration through a cylindrical component suggest that its filtration performance is strongly dependent on particle size and ambient wind velocities. To test model predictions, wind-tunnel experiments were conducted over an ambient wind velocity range of 10-80 mph (5-40 m s −1 ) and particle diameter range of 10 nm to 2 µm. The experimental results validated model predictions of particle penetration through a cylindrical component. The component model can be extended to model the integrated IPE system considering it to be composed of a combination of cylindrical components.

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“…The ease or otherwise of the passage of air is important for a number of fabric end uses, such as individual filters, tents, sailcloths, parachutes, raincoat materials, shirtings, down-proof fabrics and airbags (Goodings, 1964;Saville, 1999).…”

Section: Introductionmentioning

confidence: 99%

Modelling Air Permeability of Woven Fabrics by Artificial Neural Networks

Behera¹,

Guruprasad²

2010

Textile and Apparel

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. ABSTRACTThe objective of this paper is to investigate the predictability of air permeability of cotton woven fabrics from their construction variables by using a feed-forward back-propagation network in an artificial neural network (ANN) system. In order to achieve this objective, a number of grey cotton fabrics meant for shirting end use are desized, scoured, and relaxed. The fabrics are then conditioned and tested for constructional particulars and air permeability. A multiple linear regression based approach for modelling is attempted and the prediction issues are briefly summarized. For neural network modelling, a three layer feed-forward network is formed and trained by using the BroydenFletcher-Goldfarb-Shanno (BFGS) quasi-Newton algorithm. The predictive ability of the neural model is examined by comparing their results with experimental data. From the results, it is seen that high correlation exists between the actual and predicted values of the neural network model. The overall predictability of the model is good.

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Air Flow through Textile Fabrics

Cited by 46 publications

References 0 publications

Ultraviolet Protection by Fabric Engineering

Ultraviolet Protection by Fabric Engineering

Investigation of Aerosol Penetration Through Individual Protective Equipment in Elevated Wind Conditions

Modelling Air Permeability of Woven Fabrics by Artificial Neural Networks

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