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Modeling helps to determine how structural parameters of fabric affect the surface of a fabric and also identify the way they influence fabric properties. Moreover, it helps to estimate and evaluate without the complexity and time-consuming experimental procedures. The purpose of this study is to develop and select the best regression model equations for the prediction and evaluation of surface roughness of plain-woven fabrics.

In this study, a linear and quadratic regression model was developed for the prediction and evaluation of surface roughness of plain-woven fabrics, and the capability in accuracy and reliability of the two-model equation was determined by the root mean square error (RMSE). The Design-Expert AE11 software was used for developing the two model equations and analysis of variance “ANOVA.” The count and density were used for developing linear model equation one “SMD1” as well as for quadratic model equation two “SMD2.”

From results and findings, the effects of count and density and their interactions on the roughness of plain-woven fabric were found statistically significant for both linear and quadratic models at a confidence interval of 95%. The count has a positive correlation with surface roughness, while density has a negative correlation. The correlations revealed that models were strongly correlated at a confidence interval of 95% with adjusted R² of 0.8483 and R² of 0.9079, respectively. The RMSE values of the quadratic model equation and linear model equation were 0.1596 and 0.0747, respectively.

Thus, the quadratic model equation has better capability accuracy and reliability in predictions and evaluations of surface roughness than a linear model. These models can be used to select a suitable fabric for various end applications, and it was also used for tests and predicts surface roughness of plain-woven fabrics. The regression model helps to reduce the gap between the subjective and objective surface roughness measurement methods.

The surface of the textile fabrics is not absolutely flat and smooth. Its geometrical roughness within certain extents is considerable. The surface roughness influences the fabric hand and it plays a significant role in the end use of the fabric. In parallel, the periodic variations of the fabric surface level due to the regular interlaced patterns of the yarns cause a respective variation of the geometrical roughness measurement. Thus, the fabric roughness data measured using the Kawabata Evaluation System for Fabrics and imposed to a certain process of numerical calculations result into the retrieval of the structural parameters of the fabric. The principle of the method has a non‐destructive character and can be applied to woven or knitted fabrics.

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 is based on the simulation of wind tunnel experiment for better understanding and predicting the behavior of PET fabric in the wind tunnel. This software calculates the drag force of fabric, illustrates pressure in the surrounding of airfoil and velocity of wind in the tunnel during different angles of attack (0°, 45° and 90°). The paper aims to discuss these issues.

The sol-gel method was applied for the synthesis of silica nano particles. So, PET fabric was coated with precursor (Tetra ethyl ortho silicate) solution first and the process continued on PET fabric. The morphology of obtained hydrophobic fabric samples and their surface roughness was observed and determined by atomic microscopes (AFM and SEM). Experimental data were used for simulation and modeling, and then results were interpreted.

It was concluded that the surface roughness and its amount can play a significant role in the drag reduction of PET fabric, and surface roughness can change the boundary layer from laminar to turbulent.

At 45 degrees angle of attack, larger boundary layer separation results in a large increase in the drag force. This model is useful for predicting flow behavior in the experimental wind tunnel.

The purpose of this study is to investigate the effects of weft yarn diameter and pick density on the properties of surface roughness (SMD) of 3/1 (Z) twill-woven fabrics in three measurement directions weft (0°), the warp (90°) and the diagonal (45°).

Nine 3/1 (Z) twill samples were prepared with two factors and three levels and their roughness values were measured in the weft (0°), warp (90°) and diagonal (45°) directions of 3/1 (Z) twill fabrics using the Kawabata-FB4 instrument. Analysis of variance (ANOVA) is used to determine the effect of weft yarn diameter and pick density on SMD properties and comparisons were done in the weft (0°), the warp (90°) and the diagonal (45°) directions.

From experimental analysis, weft yarn diameter and pick density affect SMD of 3/1 (Z) twill-woven fabrics in both diagonal (45°) and weft (0°) directions but slightly affect warp (90°) direction. Maximum SMD values were observed in diagonal (45°) directions and the minimum was in warp (90°) directions of fabrics. Weft yarn diameter and pick density are statistically significant on SMD values of 3/1 (Z) twill-woven fabrics for three directions at a 95% confidence interval. Parameter variation in weft directions of 3/1 (Z) twill-woven fabrics also varies SMD values in three directions measurements

The findings of this study can be usually used for textile technology, industries and laboratories to create a basic understanding for measuring roughness properties of 3/1 (Z) twill fabric. It is also possible to identify the surface characterizations in different directions of measurement for their usage in some specific areas of end application like consumer goods, home textiles, technical textiles, etc.

A Textile Surface Tester was used in this study to measure the surface roughness of weft knitted fabric. The aim of this work is to examine the influence of fabric parameters and test conditions on the sample's surface roughness. In this investigation, tests were carried out on single jersey knitted fabric for outwear. The measurement was carried out via an inductive sensor for displacement which produces signal in relation to the sample relives. We applied decomposition via the Fourier and the wavelet transforms to extract useful data from the produced signals signal. The surface roughness parameters were calculated according to the standard ISO 4287 (1997). Implications of the results on the influence of the stitch length and the yarn count on surface roughness are discussed.

For cloths having direct contact with the skin, comfort properties are a priority than the physical and mechanical properties. Innerwear clothes should induce pleasant feelings because they have a direct influence on human psychological satisfaction, health and work efficiency. The purpose of this study is to investigate the impact of cotton fiber parameters on the sensorial comfort of woven fabrics.

Four types of cotton fiber with different fineness, mean length, uniformity index, short fiber content, strength and elongation were used to develop yarns used to weave fabric samples. Kawabata evaluation system (KES) was used to analyze the fabrics’ sensorial comfort.

Results showed that cotton fiber parameters have a significant effect on surface friction and roughness properties. Low stress tensile, tensile resilience and tensile strain properties were affected by fiber micronaire, mean length, uniformity index, short fiber content, fiber strength and elongation. However, fabric shear, bending and compression properties were least dependent on fiber parameters. The correlation of the dependent variable and the independent variable was also statistically analyzed and reported. From the results, it was shown that cotton fiber parameters play a significant role in woven fabrics’ sensorial comfort.

The cloths that are in contact with the skin can be developed using the results of these studies to feel pleasant. This will, in turn, have a direct effect on the customer's psychological satisfaction, health and work performance.

Consumers use their sense of touch instinctively to evaluate a garment's quality and faculty for specific use. The roughness of textiles is an important parameter for customers' choice of garments. This work focused on surface roughness of woven fabrics. A Textile Surface Tester (TST) was used in this study. For surface height variation (SHV) characterization, the standard roughness parameters described in the ISO 4287 was frequently used. During this analysis, we examined the effect of different parameters of manufacturing and finishing samples on the variation in surface roughness. It was found that the fabric type had an important effect on surface roughness as well as the weft count of woven samples, while chemicals treatments, as coating with different commercial products via ink-jet printing and drying processes, did not affect this parameter.

The purpose of this study was to produce yarns from three different spinning techniques, i.e.Murata Vortex Spinning (MVS) ring spinning and rotor spinning. Those yarns were then used to produce fabrics. Then, the effect of silicone softener on tactile comfort of fabric was investigated.

Three different yarns, i.e. Ring, Rotor and MVS yarns, were used to make fabrics using CCI sample loom which were then subjected to post treatments like desizing, scouring and bleaching. After the completion of the dyeing process, silicone-based softener was used to improve the hand feel of fabrics. The structures of three yarns were evaluated using Scanning electron microscopy. The fabrics were evaluated against compression, bending and surface properties using Kawabata evaluation system.

The fabric made of MVS yarn depicted more geometrical roughness, coefficient of friction and bending rigidity but less compressibility as compared to fabrics made with other yarns. It was observed that softener concentration has a direct relationship with thickness and bending rigidity of the fabric, and inverse relationship with coefficient of friction and geometrical roughness of the fabric.

MVS yarn has some superior properties over rotor and ring spun yarn like high production rates, high resistance to pilling, clear appearance and stability against deformation but has disadvantage that it has less compressibility. Therefore, softener is applied on the fabric, to address this issue, so that it could also be used for apparels application.

The main factors affecting consumers when selecting denim garments are aesthetic, appearance and fashion. Besides these factors, comfort and performance properties of the denim garments during usage are very important. The purpose of this paper is to determine the effects of different finishing processes on the performance properties of 100 percent cotton and 98 percent cotton+2 percent elastane denim fabrics.

The research design for this study consists of experimental study. In order to evaluate the effects of finishing on the performance properties of fabrics, eight types of fabrics were selected for evaluation. Rigid, resin, bleaching and softening type fabrics with and without elastane were analyzed statistically.

The results obtained in the study clearly showed that the types of finishing and elastane fiber in the fabric structure had a significant influence on mechanical and comfort properties of denim fabrics.

As a result of the literature review, it was seen that there were limited studies concerning mechanical, functional and comfort properties of denim fabrics together. In this study, the effects of finishing processes on the tear strength, stiffness, drape, mechanical and thermal comfort characteristics were deeply evaluated.