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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.

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.

The purpose of this paper is to investigate the relationship between the formability of cotton and cotton/polyester woven fabrics and their selected properties: weft density, weave and a way of finishing. It shows how the mentioned properties influence fabric formability and analyze a statistical significance of investigated relationships.

In paper two groups of cotton and cotton/polyester woven fabrics of different structure and a way of finishing have been measured in the range of their basic structural properties as well as bending rigidity and initial Young’s modulus. Formability of investigated fabrics has been calculated on the basis of bending rigidity and initial Young’s modulus. Next, ANOVA has been performed in order to analyze the relationships between the weft density, weave and a way of finishing of woven fabrics and their formability.

The paper shows that all selected properties of woven fabrics significantly influence their formability as well as that there is statistically significant interaction between mentioned independent factors. It provides empirical results confirming that the influence of raw material composition of investigated cotton and cotton/polyester woven fabrics on the formability of fabrics is statistically insignificant.

Results of investigations can be applied for cotton and cotton-like woven fabrics.

The paper includes implications for woven fabric engineering from the point of view of achieving the expected fabric formability.

The results enables the choice of appropriate fabric for the given clothing.

This paper fulfills an identified need to study how the formability of woven fabrics can be shaped by an appropriate selection of their structure and a way of finishing.

The purpose of this paper is to propose the materials structure-wetting behaviour relationships and to show their peculiarities for some types of surgical woven fabrics and applications of liquids.

To show the effects of fabrics structure on wetting behaviour of surgical textile materials, the special structural indices in terms of yarns and filaments lateral area were used.

It was shown good correlation between total lateral area of filaments in unit area of woven fabrics and wetting contact angle of liquid drops on the tested samples. Probably due to different structure of woven fabrics at a level of fibres, another index, i.e. total lateral area of yarns in unit area of fabrics, is not suitable to show clear effect on wetting behaviour of the samples. The possibilities of applications of relationships for several types of textile materials and liquids were indicated.

To date there are no investigations concerning relationships between special structural properties of the surgical woven fabrics and their wetting behaviour. On a basis of the proposed approach into fabrics structure evaluation, this study developed analysis and some types of new equations for prediction of wetting contact angle of the materials.

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.

The purpose of this paper is to compare morphological and physical features of three kinds of materials intended for the insulating layer in the clothing protecting against cold – high-bulk non-woven, goose down (GD) and duck down (DD).

Comparison of thermal performance of developed textile systems with the non-woven, GD and DD content was based on basic biophysical properties related to comfort sensations of the user such as thermal resistance, water vapor resistance and air permeability. In this study, light microscopy and scanning electron microscopy methods were employed to visualize the surface and internal structure of non-woven, GD and DD samples.

The paper indicates the advantages and disadvantages of each of selected insulating material. For the down samples, significantly higher thermal resistance in a dry state than for the non-woven samples can be achieved. Meanwhile, textile systems with the non-woven provide lower value of water vapor resistance. The selected textile systems for the research were characterized by a comparable air permeability.

This paper allows for an evaluation of high-bulk non-woven, DD and GD samples in terms of providing optimal thermal performance in clothing protecting against cold.

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.

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.