A study on thermal properties of single-jersey knitted fabrics produced from ring and compact folded yarns

AbstractThis research aims to evaluate the properties of cotton single jersey knitted fabrics (SJKF) produced from cotton/spandex yarns at different Lycra states. So, four different SJKF were produced, namely 100% cotton, cotton with additional Lycra (full-platted), core, and dual-core-spun (DCS) yarns with the same loop length. The thermal comfort properties, fabric recovery, total hand value (THV), moisture management parameters, and air permeability were measured. The experimental results showed that the use of DCS yarns in the SJKF improves the fabric elastic recovery by 100%. The obtained values of air permeability, THV, and overall moisture management capacity of stretched SJKF are lower than 100% cotton fabric sample. Thermal absorptivity of core and dual-core samples increased by 27% and the water vapor permeability decreased by 18% compared to 100% cotton fabric sample.

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“…Water vapor permeability is the ability to transmit vapor out of the body [14]. Figure 4 illustrates the RWVP of all samples.…”

Section: Water Vapor Permeabilitymentioning

confidence: 99%

Comprehensive Assessment of the Properties of Cotton Single Jersey Knitted Fabrics Produced From Different Lycra States

Khalil

Fouda

Těšinová

et al. 2020

Autex Research Journal

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“…Single jersey obtained from yarns produced at lower traveler weight has higher thermal resistance and lower water vapor permeability than that produced from normal or higher traveler weight. Air and water vapor permeability increases as twist factor increases, while thermal conductivity decreases [20].…”

Section: Methodsmentioning

confidence: 98%

“…Most comfortable socks for winter are those from cotton/SeaCell and bamboo/flax with plated Lycra [7,8]. Compact yarn has higher air and water vapor permeability, higher thermal insulation and lower thermal diffusion compared to ring spun yarn, due to their better integrity and higher packing density [20,21].…”

Section: Introductionmentioning

confidence: 99%

Physical Mechanical Properties of Medical Socks Proposed for Diabetic Foot Syndrome Sampled from the Market

Darwish

Abdel-megied

Geiheini

2019

Autex Research Journal

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Diabetic disease and its chronic complications is a public health problem that affects millions of people all over the world. Feet diabetics need private care by using appropriate shoes and socks, to avoid friction, sweating and high temperature. Diabetic socks have to attain an effective thermal comfort and higher appraisal performance. To achieve these conditions, the diabetic socks have to attain comfortable fit, no pressure points or seams on fingers, suitable size, classified as spring-summer or autumn-winter and also to avoid high temperature. The specifications of the diabetic socks sold in the market consist of its material combination, size and chemical treatments. No definite physical mechanical properties of diabetic socks are proposed. Diabetic socks taken from the market, with appropriate price, were evaluated for both thermal and non-thermal properties. The tested samples demonstrate a great variability’s in the fabric construction and properties. By analyzing the tested socks, the proposed values concerning the properties of diabetic socks for summer and winter are introduced. Moreover, relative geometrical mean of thermal comfort properties was proposed for determining a global measure of diabetic sock properties.

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“…They observed that yarn twist and traveler weight had affected different thermal properties of single-jersey folded yarn fabrics. 13 Rajwin and Prakash studied the influence of plasma treatment on the thermal comfort properties of cotton woven fabric. They found that the air permeability of the fabric had a linear relationship with the distance of the sample and better air permeability achieved in air plasma.…”

Section: Introductionmentioning

confidence: 99%

Thermal-wet model of knitted double jersey based on backpropagation algorithm of neural network

Cong

Gao

et al. 2020

Journal of Engineered Fibers and Fabrics

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In this article, thermal resistance test and water vapor resistance test were experimented to obtain data of heat and humidity performance. Canonical correlation analysis was used on determining influence of basic fabric parameters on heat and humidity performance. Thermal resistance model and water vapor resistance model were established with a three-layered feedforward-type neural network. For the generalization of the network and the difficulty of determining the optimal network structure, trainbr was chosen as training algorithm to find the relationship between input factors and output data. After training and verification, the number of hidden layer neurons in the thermal resistance model was 12, and the error reached 10−3. In the water vapor resistance model, the number of hidden layer neurons was 10, and the error reached 10−3.

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A study on thermal properties of single-jersey knitted fabrics produced from ring and compact folded yarns

Cited by 25 publications

References 10 publications

Comprehensive Assessment of the Properties of Cotton Single Jersey Knitted Fabrics Produced From Different Lycra States

Comprehensive Assessment of the Properties of Cotton Single Jersey Knitted Fabrics Produced From Different Lycra States

Physical Mechanical Properties of Medical Socks Proposed for Diabetic Foot Syndrome Sampled from the Market

Thermal-wet model of knitted double jersey based on backpropagation algorithm of neural network

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