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Eri silk fiber has superior thermal insulation behavior, better softness than cotton fiber. However, Eri silk’s use in the commercial arena has not yet taken off. The purpose of the study is to explore the comfort properties of the fabric, which enhances the commercial acceptance of Eri silk clothing.

In this investigation, three different single knit Eri silk structures were produced with different loop lengths and yarn counts to analyze the influence of process variables on low-stress mechanical properties. To execute the research work, Eri silk spun yarn of three different linear densities (15 tex, 20 tex, 25 tex) were chosen. Three different knitted structures were produced, such as single jersey, popcorn and cellular blister, and two different loop lengths were also selected.

The cellular blister structure has shown appreciable low-stress properties next highest position was attained by the popcorn structure. Yarn fineness and loop length were significant with most of the low-stress properties.

The findings of this research will contribute to a greater awareness of Eri silk knitted fabric and its process parameters in relation to its commercial utility.

This study was conducted to explore the influence of knit structure, loop length and yarn count on the low-stress properties of Eri silk-based thermal clothing.

Self-cleaning fabrics have aroused attention in recent years by showing great potential in changing our life style to a more environmental friendly way. Although efforts have been devolved to boost the efficiency of photocatalytic self-cleaning functions, there have been limited studies with regard to the effect of the self-cleaning finishing on fabric properties. One of the criteria in determining the usability of a fabric is its mechanical properties. In order to enhance the practicability of the self-cleaning coating treatment and widen its application, the effect of a titanium dioxide photocatalytic coating on the low-stress mechanical properties of the fabrics is studied.

Objective measurement of fabric mechanical properties has great potential for quality control of clothing materials. However, access to the requisite instruments still remains a problem for many potential users due to their high cost. A new methodology for measuring the basic low stress mechanical properties of woven fabric on a tensile tester is introduced. The results of experimental work on 39 samples are also presented. As a result, new parameters indicating the behavior of woven fabrics are introduced.

The purpose of this paper is to investigate an alternative approach that can predict non‐linear relations.

An engineered approach to fabric development is described in which a radial basis function network is trained with worsted fabric constructional parameters to predict functional and aesthetic properties of fabrics. An objective method of fabric appearance evaluation with the help of digital image processing is introduced. The prediction of fabric properties by the network with changing basic fibre characteristics and fabric constructional parameters is found to have good correlation with the experimental values of fabric functional and aesthetic properties.

The radial basis function network can successfully predict the fabric functional and aesthetic properties from basic fibre characteristics and fabric constructional parameters with considerable accuracy. The network prediction is in good correlation with the actual experimental data. There is some error in predicting the fabric properties from the constructional parameters. The variation in the actual values and predicted values is because of small sample size. Moreover, the properties of worsted fabrics are greatly influenced by the finishing parameters which are not taken into consideration in the training of the network. Prediction performance can be further improved by including these parameters as input, during the training phase. In few cases, the network has predicted contradictory trends, which are found difficult to be explained.

The paper describes a radial basis function neural network model that can be used for the prediction of the fabric appearance values and comfort properties using fabric constructional parameters and some primary fibre mechanical properties as input parameters of the network.

The application of rinse cycle softener after the household laundry process has become more common in recent times. This study aims to understand the effect of repeated rinse cycle softener treatment on the mechanical and frictional properties of the cotton fabric.

Cotton-woven fabric is treated with commercial rinse cycle softener repeatedly for 15 times. After treatment, the fabric was evaluated for the changes in mechanical properties using the Kawabata evaluation system.

The results of this study revealed that the softener treatment reduces the tensile properties (41.25%) and increases the overall extensibility of the fabric up to 20.89%. The shear (34.57%) and bending rigidity of the treated fabric are reduced considerably than the untreated fabric (58.02%). The increment in the fabric softness and fluffiness was confirmed with the increment in the compression and the difference between the initial and final thickness at maximum pressure. Statistical significance (p < 0.05) is noted only in the case of bending and surface friction properties (dynamic friction).

The usage of rinse cycle softeners in the household laundry has a significant influence on the comfort characteristics of the cotton-woven fabric. Repeated usage of rinse cycle softener increased the fabric softness and fluffiness of the fabric and also reduced the tensile properties significantly.

A robotic system for testing fabrics under low‐stress conditions has been developed at UMIST. This system is capable of conducting all the mechanical tests on a single piece of fabric, without operator intervention, thus eliminating human‐related errors. Looks at test control strategy and acquisition of force and deformation data, from the viewpoint of process control in garment assembly.

Polyester filament fabrics made from microdenier and normal denier yarn are compared for their low stress mechanical properties and hand values. Effects of twisting and sizing on microdenier filament fabric are studied. Sizing proves to be the most important process for microdenier multifilament yarn to realise its speciality effect in the fabric made out of this yarn.

This paper investigates the relationships between the fabric crease performance, seam retention and the low stress mechanical and constructional properties for a series of thirty-one suiting and trousering materials. A newly developed test method (IWTO draft test method) and instrumentation for evaluating the fabric crease performance was used to compare with the commercial steam pressing (Hoffman pressing). This newly test method was further modified for examining the seam retention properties. It has been shown that seam retention properties are significantly related to the fabric crease performance and are not affected by the different testing methods used and grain direction. In fact, the low stress mechanical properties of fabrics were not significantly related to either fabric crease performance and seam retention properties.

The purpose of this paper is to examine the influence of ageing and the use of fabric softener during the life cycle of knitted fabrics.

The low‐stress mechanical properties were evaluated by means of the Kawabata evaluation system for fabric (KES‐F) and universal surface tester (UST) revealing that the tensile, shear, bending, compression and surface properties were altered by both ageing during the wash cycles and the use of fabric softener.

Machine laundering leaves fabrics with an uncomfortable hand due to the removal of finishes and the harsh mechanical action of laundering, and results in the change in mechanical properties of the fabrics.

The paper identifies the critical mechanical parameters which are influenced by ageing and the use of fabric softeners during life cycle of garments.

Low‐stress mechanical properties of fabrics are very important in many applications as well as in manufacturing process control. Discusses the importance and potential applications of an on‐line mechanical property measurement system. In addition, the working principles of existing off‐ line fabric bending testers have been critically reviewed. It is suggested that the principle of a future on‐line system to evaluate fabric bending behaviour should be based on the characterisation of fabric loop shapes.