Effect of Weave Parameters on Thermal Properties of Woven Fabrics

Prakash, C.; Vimal, Jyoti; Rajwin, A. Jebastin; Paranthaman, R.

doi:10.1080/15440478.2019.1691113

Cited by 11 publications

(6 citation statements)

References 9 publications

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“…Numerous factors influence fabrics' thermal properties, including fiber, yarn, and fabric properties, such as structure, density, humidity, fiber material, weave type, surface treatment, filling, compressibility, and ambient temperature. 8,11,[50][51][52] Aerogel particle detachment after washing causes huge changes in weight, thickness, fabric sett, stretch and recovery properties, and dimensional stability during the first washing cycle. The rapid thickness increase for all material types up to five washes can be attributed to fabric fiber protrusion caused by washing and detergent mechanical effects.…”

Section: Overall Findings and Potential Mechanismsmentioning

confidence: 99%

Thermal resistance prediction of aerogel fabrics after repeated washing based on small-sample data

Wang

et al. 2023

Textile Research Journal

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Aerogel fibers utilized in thermal protective apparel exhibit exceptional heat insulation capabilities; however, concerns arise regarding potential degradation due to the detachment of aerogel particles during repeated washing. Accurate prediction of aerogel fiber thermal resistance is critical for assessing hydrothermal aging in aerogel textiles, yet the precision of such predictions is significantly hindered by limited sample data and numerous uncertainties constrained by testing time and expenses. The present study endeavors to ascertain the optimal parameters dictating aerogel fabric thermal resistance post-washing and establish a prediction model based on these variables using small-sample data. Four aerogel fabric candidates were selected and subjected to multiple washing cycles (0, 1, 5, 10, 15, and 20 cycles). Gray relational analysis (GRA) was initially employed to prioritize the primary thermal resistance parameters, thereby identifying the interrelations among various factors and circumventing the unreasonable equal treatment of samples in conventional gray predictions. Subsequently, a discrete gray linear regression (DGLR) algorithm was proposed and validated to estimate thermal resistance using input from four principal fabric parameters: the fabric weight, thickness, air permeability, and surface temperature distribution coefficient. The findings revealed that the GRA-DGLR model achieved relatively high accuracy, closely aligning with the experimental results. Following repeated washing, aerogel fabric thermal resistance diminished, with the air permeability, weight, thickness, and surface temperature distribution coefficient ranked in descending order of significance. This investigation highlights the considerable impact of repeated washing on aerogel fabric thermal resistance and the efficacy of the GRA-DGLR model in estimating this parameter.

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Section: Overall Findings and Potential Mechanismsmentioning

confidence: 99%

Thermal resistance prediction of aerogel fabrics after repeated washing based on small-sample data

Wang

et al. 2023

Textile Research Journal

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“…The effects of woven fabric parameters on thermal and moisture behavior of fabrics, in details, are reported in the related studies. 57,85,[87][88][89] The performance of pressure garments is associated with the dimensions of the garment, the dimensions of the body, and ease between the fabric and the body. Based on the ease present, negative fit fabric designs (where the fabric size is smaller than the body size (ease <0)) produce pressure on the body.…”

Section: Fabric Structurementioning

confidence: 99%

“…The effects of woven fabric parameters on thermal and moisture behavior of fabrics, in details, are reported in the related studies. 57,85,87–89…”

Section: Materials and Structural Design Of Compression Bandages And ...mentioning

confidence: 99%

“…71 The compact structure of the plain weave fabric does not allow more air space into the fabric, and therefore exhibit higher thermal resistance compared to other weaves. 85 Twill weave produces higher extensibility and smoothness than plain weave fabrics. Furthermore, the bending and shear rigidity of twill fabric is lower than that of plain weave due to less interference between the warp and weft threads which in turn influence the interface pressure.…”

Section: Fabric Structurementioning

confidence: 99%

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Material, structure, and design of textile-based compression devices for managing chronic edema

Kankariya

2022

Journal of Industrial Textiles

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Background: Compression bandages, stockings, and pneumatic compression devices are common classifications of compression products, used alone or in combination. The structure of these compression products is complex: they are typically multi-layered, overlapped, stretched and applied to a three-dimensional curved surface part of the body. This research aims to review the materials, designs, and fabrication processes/technologies of a variety of compression devices used in management of chronic edema by considering contributions of materials/textiles, as well as prototyping technologies. Method: Relevant papers/patents for review were identified using keywords associated with materials, designs, and fabrication processes of textile-based compression devices/products for treatments of the edematous lower limb. Results: Modern Compression therapies employ textile materials with a variety of fiber types, yarns and fabric structures, and wide range of elasticity and extensibility (i.e. inelastic to elastic, short stretch to long stretch) to provide the required pressure to the lower leg. Compression fabrics are fabricated using a variety of production technologies and machineries, and they have a wide range of physical and performance attributes. Conclusions: Appropriate selection of materials and fabrication technologies for use in compression therapy is essential to enhance the success in the management of chronic edema. This review might aid in the development and implementation of textiles/materials, and improvement in design of the textile-based compression devices to increase the efficacy of compression therapies in the management of chronic edema, allowing patients to improve their long-term health.

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“…Also, the Thermal properties of woven fabric reduction in inter yarn spaces and storage capacity of "air pockets" take the lead to better thermal insulation as compared to pure cotton fabric. Prakash et al (2020) produced 11 different types of woven fabrics to relate the different weaves with thermal performance of the woven structures.…”

Section: Introductionmentioning

confidence: 99%

Thermal properties of woven fabric as a function of its structural parameters: experimentation and modeling

Umair

Javaid

Jabbar

et al. 2022

RJTA

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Purpose This paper aims to investigate the influence of picking sequence, weave design and weft yarn material on the thermal conductivity of the woven fabrics. Design/methodology/approach This work includes the development of 36 woven samples with two weave designs (1/1 plain and 3/1 twill), three picking sequences (single, double and three pick insertion) and six different weft yarn materials (cotton, polyester having 48 filaments, polyester with 144 filaments, spun coolmax having Lycra in core and coolmax in sheath, filament coolmax and polypropylene). The thermal conductivity was measured using ALAMBETA tester. Findings The results showed that weft yarn material, weave design and picking sequence have a meaningful impact on the thermal conductivity of woven fabric. The value of thermal conductivity was lowest for the fabrics with three pick insertion and 3/1 twill weave in all weft yarn materials. Research limitations/implications Plain woven fabric with single pick insertion is feasible for summer wear to enhance the comfort of wearer. By changing the warp yarn grouping and material, improved thermal conductivity/resistance can also be achieved. Originality/value The authors have studied the combined effect of different weft yarn materials with different picking sequences and different weave designs on thermal conductivity of the woven fabrics.

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Effect of Weave Parameters on Thermal Properties of Woven Fabrics

Cited by 11 publications

References 9 publications

Thermal resistance prediction of aerogel fabrics after repeated washing based on small-sample data

Thermal resistance prediction of aerogel fabrics after repeated washing based on small-sample data

Material, structure, and design of textile-based compression devices for managing chronic edema

Thermal properties of woven fabric as a function of its structural parameters: experimentation and modeling

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