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The purpose of this paper is to analyse the advantages of a new interpretation of the geometric disposition of threads within woven fabric structures, and to develop a method of determining the parameters of threads, with reference to each order of their disposition.

Based on the analysis of the geometrical models proposed by Barker and Midgely, by Pierce and by Novikov, the substantiation of the advantages of a stricter model, offered by the authors, for determining the geometric disposition of threads within single layer woven fabric structures with the help of the tangent function is given. This model allows the substantial expansion of the actual bounds of the interval of the order of the geometric disposition of threads in woven fabric structures to 0.2‐9.8.

The tangent function can approximate the crimp height ratio of the warp threads within the woven fabric structure with accuracy within the limits of geometric disposition angle change from 1° to 89°.

The work has applications in the industrial production of woven fabrics.

This research will allow the design of a woven fabric with practically any ratio of crimp height for the warp and weft threads to effectively achieve the required performance characteristics of the cloth.

This paper extends the knowledge of the geometrical characteristics of woven fabric structure, and proposes intelligent methods of determining the parameters of thread cross‐sections in accordance with the orders of the geometric disposition of threads in woven fabric structure.

The purpose of this paper is to develop a computerized program that can recognize woven fabric structures and simultaneously use the obtained data to 3D re‐visualize the corresponding woven fabric structures.

A 2D bitmap image of woven fabric was initially acquired using an ordinary desktop flatbed scanner. Through several image‐processing and analysis techniques as well as recognition algorithms, the weave pattern was then identified and stored in a digital format. The weave pattern data were then used to construct warp and weft yarn paths based on Peirce's geometrical model.

By combining relevant weave parameters, including yarn sizes, warp and weft densities, yarn colours as well as cross‐sectional shapes, a 3D image of yarns assembled together as a woven fabric structure is produced and shown on a screen through the virtual reality modelling language browser.

Woven fabric structures can now be recognised and simultaneously use the obtained data to 3D re‐visualize the corresponding woven fabric structures.

The purpose of this paper, on innovative design of traditional weft-backed woven fabric, is to investigate a design principle and method for full-backed structure with double-faced shading effect to realize two types of double-faced shading effects for traditional weft-backed fabric that are impossible to be realized under plane design mode. In addition, the study on the color rendering law is conducive to the design application, and the effectiveness of the design method has been verified by the design practices.

This paper presents a design method for full-backed structure with two shaded weave databases (SWDs) by selecting two primary weaves (PWs), establishing the corresponding SWDs, selecting the proper compound structures for database of full-backed structure with double-faced shading effect. Color card fabric with 544 specimens is produced and their color values are measured, their color difference and variance are analyzed to evaluate the color rendering characteristics. Finally, double-faced weft-backed fabrics are produced under layered-combination design mode to verify the practicality of full-backed structure with double-faced shading effect.

Weft-backed woven fabrics with “SPDC” (same pattern and different color) and “DPDC” (different pattern and different color) shading effects can be produced using full-backed structure with double-faced shading effect. The color expression is extremely enhanced (136 compound structures on one side for one color weft). In the shading process, two sets of wefts do not affect each other, and stable and ideal color shading effect with high color purity can be expressed according to the analyses on the L* (lightness) values, color purity, color differences (0.47–3.20) and variance (0.25–1.21) of the color card fabric.

Breaking through the structural limitations and achieving the double-faced shading effects that cannot be expressed in plane design mode. The research on two weft-backed fabric with the most basic weft-backed structure provides not only a theoretical base for further study on weft-backed structures, but also some references for structure innovation design of traditional weft-backed woven fabrics.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This experimental work demonstrates the effect of weave structure on the skewness of fabric. The work shows that the distortion of gray woven fabrics depends upon the behaviour of the floats (which is related to the factor of weave) at the state of relaxation. Nine, 50-metre rolls of woven fabrics in different weaves were produced. The fabrics were marked in a rectangular form (1.70 metres in width and one metre in length) at the weaving machine. After 24 hours of relaxation, the new shapes and sizes were recorded. The deformations of the fabrics due to the weave structures were different. The shapes of almost all of the samples were changed to Trapezium, even though they differed in size. This experimental work showed that, of the nine different weaves, the 3/3 twill weave had the highest skewness and the Zigzag twill structures the lowest, proving that the type of weave affects the deformation and, as a result, the skewness of the fabric.

This paper aims to study the optical properties of woven fabrics.

The current study was carried out to objectively evaluate the luster of a group of woven fabrics with different weave structures and weft densities, with the aid of a goniophotometer. The results obtained from the objective luster measurement were validated by a set of pair comparison subjective tests using Thurstone’s law of comparative judgment.

The proper correlation with the R² value of more than 0.96, between subjective and objective tests, confirmed the reliability and accordance of objective results with the human perception of luster. Statistical analysis of the luster results clarified that the effect of fabric structural parameters such as weave structure and weft density are significant at the confidence range of 95 per cent. The highest luster index was achieved for the twill 3/1 weave structure and the lowest luster belonged to the plain pattern. In addition, an increase in the density of the fabric leads to better luster. Moreover, it was concluded that the surface roughness affects the luster. A rise in the roughness value of the woven fabric causes reduction in its luster property.

Optical properties of woven fabrics, which are mainly attributed through the measurement of luster, are important for qualifying the aesthetic characteristics of the fabrics with various weave structures. Bearing in mind the influence of fabric surface properties on the aesthetic features of cloths, obtaining information in this field is a guide for selecting the suitable fabric for various end uses.

This paper describes a new approach for the design of multilayer reinforcements of textile composite materials and products. We offer an alternative to multilayer complex fabrics for which the laminates of the composite reinforcement material consist of orthogonal woven fabrics with an original variable structure when each fabric layer is composed of alternating one‐ply (one warp and one weft) and one and‐ a‐half‐ply (one warp and two wefts) sections. Combination of these sections produces a “gearing” effect, preventing the delamination of textile composites in the process of their exploitation. An important aspect of the proposed method is a possibility to design woven fabrics in concurrence with the dimensions of the composite product and conditions of its exploitation; this leads to a substantial improvement of many properties of such composite product.

The purpose of this paper is to investigate the mechanical properties’ behaviors of woven composite cut-out structures with specific parameters. Because of the complexity of micro-scale and meso-scale structure, it is difficult to accurately predict the mechanical material behavior of woven composites. Numerical simulations are increasingly necessary for the design and optimization of test procedures for composite structures made by the woven composite. The results of the proposed method are well satisfied with the results obtained from the experiment and other studies. Moreover, parametric studies on different plates based on the stacking sequences are investigated.

A multi-scale modeling approach is suggested. Back-propagation neural networks (BPNN), radial basis function (RBF) and least square support vector regression are integrated with efficient global optimization (EGO) to reduce the weight of assigned structure. Optimization results are verified by finite element analysis.

Compared with other similar studies, the advantage of the suggested strategy uses homogenized properties behaviors with more complex analysis of woven composite structures. According to investigation results, it can be found that 450/−450 ply-orientation is the best buckling load value for all the cut-out shape requirements. According to the optimal results, the BPNN-EGO is the best candidate for the EGO to optimize the woven composite structures.

A multi-scale approach is used to investigate the mechanical properties of a complex woven composite material architecture. Buckling of different cut-out shapes with the same area is surveyed. According to investigation, 45°/−45° ply-orientation is the best for all cut-out shapes. Different surrogate models are integrated in EGO for optimization. The BPNN surrogate model is the best choice for EGO to optimization difficult problems of woven composite materials.

Examines the fifthteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The aim of the present study is to investigate the effect of fabric weave structure on air permeability and its relation with the garment ventilation.

For this purpose, five groups of cotton/polyester shirting fabrics with plain, T2/1, T2/2, T3/1 and T3/3 weave structures were studied. In order to evaluate ventilation, the garment samples were prepared in different sizes, so that the thickness of the air gap formed between the garment and the body simulator varies by zero, 1.5, 1.2 and 2.9 cm. The effect of wind and its speed (1, 2 and 3 m/s) on clothing ventilation has also been evaluated.

The results indicated that the rise of wind speed and air gap thickness, due to the increased convective heat transfer, would diminish the air gap temperature of clothing and improves its ventilation. In addition, the fabric weave pattern influences the air ability to pass through the fabric, thus affecting the ventilation capability of the garment.

Garments made of fabrics with higher structural firmness, such as the plain, not only have lower air permeability, but also has weaker ventilation capability.