scholarly journals Comparative Study on the Frictional Sound Properties of Woven Fabrics

2017 ◽  
Vol 25 (0) ◽  
pp. 36-44
Author(s):  
Pin-Ning Wang ◽  
Ming-Hsiung Ho ◽  
Kou-Bing Cheng ◽  
Richard Murray ◽  
Chun-Hao Lin

An innovative Frictional Sound Automatic Measuring System (FSAMS) was designed to collect and enable analysis of the frictional sound spectra of four natural fibre woven fabrics which included cotton, linen, silk, and wool. The Fast Fourier Transform (FFT) method was used to convert time-domain signals into frequency-domain signals to enable the maximum sound amplitude (MSA) and the level pressure of the total sound (LPTS) of the cotton, linen, silk, and wool fabrics to be calculated and analysed. Subsequently auto-regression formulae were used to calculate the fabric auto-regressive coefficients (ARC, ARF, and ARE); the correlations between fabric frictional sound in terms of LPTS and AR coefficients, and mechanical properties as measured by KES-FB were also evaluated. Stepwise regression was then used to identify the key frictional sound parameters for the four types of fabric. The results show that LPTS values for cotton, linen, silk, and wool fabrics increase with their ARC values. It was revealed that the key mechanical parameters affecting fabric frictional sound for the four natural fibre woven fabrics were not the same for each fabric type: the parameters that influenced LPTS values were the fabric weight and bending hysteresis for the cotton fabric, tensile energy for the linen, tensile resilience for the silk and shear hysteresis at a 5° shear angle for the wool fabric.

2017 ◽  
Vol 25 (0) ◽  
pp. 34-42 ◽  
Author(s):  
Pin-Ning Wang ◽  
Ming-Hsiung Ho ◽  
Kou-Bing Cheng ◽  
Richard Murray ◽  
Chun-Hao Lin

An innovative frictional sound automatic measuring system (FSAMS) was designed and used in this study to investigate the frictional sound generated when natural-fibre woven fabrics are rubbed together. Frictional sound measurements made using the automatic FSAMS were compared with those from a manual frictional sound measuring system (Manual FSAMS). The frictional sounds of four natural-fiber woven fabrics (i.e., cotton, linen, silk, and wool) were recorded; the Fast Fourier Transform method was used to convert time domain signals into frequency domain signals, and the maximum sound amplitude (MSA) and level pressure of the total sound (LPTS) of cotton, linen, silk, and wool were calculated. The results of a t test, analysis of variance, data reproducibility, and cluster spectrums measured from the four natural-fiber woven fabrics were compared for the two test equipment systems. The results from the t test and analysis of variance showed significant differences in the MSA and LPTS measured. Data reproducibility was superior to the automatic FSAMS compared with the manual FSAMS, and the cluster spectrums were more readily distinguishable.


1992 ◽  
Vol 62 (1) ◽  
pp. 44-51 ◽  
Author(s):  
P. G. Cookson

If a wool fabric is restrained during drying, as in tentering, there is a close relationship between the relaxation shrinkage that is induced and the hygral expansion. A high correlation also exists between the hygral expansion and extensibility of relaxed fabrics. For conventional woven fabrics, this relationship is independent of fabric structure and the finishing routine used. Separate relationships for warp and weft directions exist between extensibility (of relaxed fabric) and relaxation shrinkage in commercial fabrics. The difference in extensibility (at 500 gf/cm) for a relaxed fabric, and the corresponding unrelaxed fabric, is related to the relaxation shrinkage in the unrelaxed fabric.


2019 ◽  
Vol 90 (11-12) ◽  
pp. 1291-1300
Author(s):  
Zhicai Yu ◽  
Yueqi Zhong ◽  
R. Hugh Gong ◽  
Haoyang Xie

To evaluate the ability of woven fabrics to drape in a more accurate way, a three-dimensional point cloud of a draped woven fabric was captured via an in-house drape-scanner. A new indicator, total drape angle (TDA), was proposed based on the three-dimensional fabric drape to characterize the ability of a woven fabric to drape. The relationship between TDA and the drape coefficient (DC) was analyzed to validate the performance of TDA. The result indicated that TDA is more stable and representative than the traditional DC in characterizing the ability of a woven fabric to drape. In addition, the drape angle distribution function (DADF) of the triangular mesh was employed to describe fabric drape, as well as to bridge the gap between drape configuration and the warp bending rigidity of woven fabric. The results showed that the correlation coefficient between the real warp bending rigidity value and what was predicted warp based on DADF and fabric weight was 0.952.


2019 ◽  
Vol 90 (7-8) ◽  
pp. 744-756 ◽  
Author(s):  
Shahid Adeel ◽  
Shumaila Kiran ◽  
Noman Habib ◽  
Atya Hassan ◽  
Shagufta Kamal ◽  
...  

Due to an increasing awareness of the harmful effects of synthetic dyes among the global community, the demand for natural dyes in the textile sector has increased. The current study has been conducted to explore coconut coir, that is, Cocos nucifera, as a new dye yielding plant for wool dyeing under ultrasonic (US) radiation. Unirradiated and US-irradiated extracts of coconut coir were utilized to dye unirradiated and US-irradiated wool fabrics. To make the process more sustainable, acacia, henna, turmeric and pomegranate extracts as biomordants were used to dye wool fabric at 65℃ for 45 min. It was found that a good color yield was achieved by dyeing US-treated wool with US-treated acidic methanolic extract at 65℃ for 45 min. It is found that biomordanting profoundly added value in coloration and also enhanced the fastness rating of the dyed wool fabrics. It is concluded that US rays have excellent efficacy for exploring the coloring wealth of plants for dyeing of natural fabrics.


2019 ◽  
Vol 14 ◽  
pp. 155892501984087
Author(s):  
Mlando Basel Mvubu ◽  
Rajesh Anandjiwala ◽  
Asis Patnaik

This article reports a study on the effect of different natural fibres, their blend ratios and varying air gaps between a needle-punched non-woven fabric and polystyrene backing on the sound absorption coefficients of the needle-punched non-woven fabrics. These parameters as well as their interactive effects were studied by variance analysis. The air gap varied from 0 to 25 mm in 5 mm increments; three natural fibre types (agave, flax and waste wool) were used; each one blended with polyester fibres in three blending ratios. The univariate test of significance showed that all three parameters and two of the three two-way interactions effects on sound absorption coefficients were significant. Only two-way interaction effect between blend ratio and air gap on sound absorption coefficient was not significant. It was found that the sound absorption coefficients increased with an increase in air gap size up to 15 mm, after which they decreased slightly as the air gap was increased further to 25 mm. In addition, the non-woven fabrics produced from the blend of waste wool and polyester fibres achieved the highest sound absorption coefficients than those of the other two natural fibres, and generally, the sound absorption coefficients increased with the increase in polyester fibre content in each blend studied.


2019 ◽  
Vol 50 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Senthil Kumar ◽  
S Balachander

Process optimization is the key task of any engineering application to maximize the desirable output by optimizing the range of process parameters. In this research work, jute composites were fabricated by the hand lay-up method with the aim of optimizing the process parameter such as yarn linear density, fabric areal density and fabric laying angle on the mechanical properties of the textile composite structures using the Taguchi L9 orthogonal matrix. The plain-woven and twill-woven fabrics of Jute fabrics were produced through specialized handloom machine and used as preform for composite production. Epoxy resin was used as the matrix component. Signal-to-noise ratio ratio, analysis of variance and experimental verification of results were analysed. The results showed that fabric laying angle played major role to achieve high mechanical properties of composites and twill-woven structural reinforcement yields higher mechanical properties. Subsequent to this optimal process, parameters have been arrived for all the composites, and finally it was verified through the experimental results.


2011 ◽  
Vol 331 ◽  
pp. 326-329
Author(s):  
Huai Fang Wang ◽  
Hai Ning Lv ◽  
Xiao Li Zhang

In order to improve the shrinkage resistance of wool fabrics, a new method that combine ionic liquid and chitosan was researched in this paper. Wool fabric was first pretreated with 1 - butyl - 3 - methyl bromination imidazole([Bmim]Br), and subsequently was treated with chitosan. Pretreatment temperature and time, and chitosan concentration of post-treatment were studied in this paper. Results showed that wool fabrics treated with [Bmim]Br at 80°C for 2 hours and post-treated in 1.0% chitosan acetic acid solution exhibit good shrinkage resistance. In addition, SEM images of ionic liquid treated wool fiber indicates that the scales have been destroyed, and the surface is covered with a layer of film after post-treated with chitosan.


2015 ◽  
Vol 671 ◽  
pp. 3-8
Author(s):  
Masukuni Mori

It is well known that fabric handle is controllable by controlling and adjusting mechanical properties of the fabric. The handling of fabrics, on one hand, is mostly decided by the structure of the fabric, i.e. quality of yarn, yarn count, twist number, density of warp and weft, fabric weight and weave design. Such a fabric structure is represented in terms of Cover Factor. On the other hand, the handling of fabrics can also be changed through the mechanical properties by dyeing and finishing processes after weaving. The present work investigated how much influence is exerted on wool fabric by 11 sorts of chemicals generally used in dyeing and finishing processes, and how much change is exerted on the handle of processed fabrics. The experimental results were compared with the original fabric with no treatment in terms of mechanical properties relevant to KES. It was confirmed that the fabric handle greatly depended on fabric structure. Besides, the differences in the degree of damage and the hydrophilicity of wool fiber arisen from the treatments using chemicals were examined. The effect of chemicals used in dyeing and finishing processes was also investigated on the environment. Keywords: Wool, Chemical treatment, Fabric handle, KES, Environment.


2008 ◽  
Vol 12 (1) ◽  
pp. 32-38 ◽  
Author(s):  
Xiuliang Hou ◽  
Li Wei ◽  
Xinlong Zhang ◽  
Huihui Wu ◽  
Qicheng Zhou ◽  
...  

Catechu liquor, which is deep brown-red in color, was purified with a micro-filtration membrane and the stability of catechu dye to different levels of temperatures and pH were investigated in this paper. The effects of the dyeing conditions on color characteristic values and color fastnesses of the dyed wool fabrics were also investigated. The results show that the liquor of catechu dye is stable at pH values of 3-7 and its color changes to a deeper brown-red when its pH value is above 8. The preferable dyeing conditions for wool fabric with refined powder catechu dye are as follows: dyeing temperature of 100±C, pH value of 6.5 for the dye bath and catechu dye of 1-4% (o.w.f). The dyed wool fabric has good color fastnesses to washing, alkali perspiration and dry rubbing. However, its color fastness rating to wet rubbing is poor, ranging from 2-3. Further research will be needed on this aspect.


2017 ◽  
Vol 14 (4) ◽  
pp. 524 ◽  
Author(s):  
Djawoto Djawoto

Auto Regression Integrated Moving Average (ARIMA) or the combination model of Auto Regression with moving average, is a linier model which is able to represent the stationary time series or non stationary time series. The purpose of this research is to forecast the inflation rate in November 2010 with the Consumer Price Index (CPI) by using ARIMA. The inflation indicator is very important to anticipate in making the Government’s policy and decision as well as for the citizen is for the information to determine what to do in related with savings and investment. By looking at the existing criteria, it is determined that the best model is ARIMA (1,1,0) or AR (1). Model ARIMA (1,1,0), the coefficient value AR (1) is significant,which has the most minimum value of Akaike Info Criterion (AIC) and Schwars Criterion (SC) compare toARIMA (0,1,1) or MA (1) and ARIMA (1,1,1) or AR (1) MA (1). In summarize, the ARIMA model used to forecast the valueof IHK is ARIMA (1,1,0).


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