Journal articles: 'Fabric processing'

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Lou, Ching Wen, Ting Ting Li, Jan Yi Lin, Mei Chen Lin, and Jia Horng Lin. "Effects of Processing Parameters on Constant-Rate Puncture Resistance Behaviors of Compound Fabrics." Applied Mechanics and Materials 365-366 (August 2013): 1078–81. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.1078.

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The effect of Kevlar fibers amount, number of layers, thermal bonding and fabric type on constant-rate puncture resistance of low-cost compound fabrics are discussed. Therein, compound fabrics were prepared by nonwovens and woven fabric via needle-punching and thermal bonding processes. The result shows that, Kevlar fibers amount and number of layers are both positive to improvement of puncture resistance. And thermal bonding process increases the wearer safety of puncture-resistance materials. For different kinds of fabrics, compound Kevlar fabric shows the maximum puncture resistance.

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Jin, Lanming, Gaoming Jiang, Honglian Cong, and Chenguang Hou. "Geometrical Modelling of Jacquard Quilted Structures Weft Knitted Fabrics." Journal of Engineered Fibers and Fabrics 11, no. 1 (March 2016): 155892501601100. http://dx.doi.org/10.1177/155892501601100109.

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Jacquard quilted structure weft-knitted fabrics have many advantages, such as strong stereoscopic patterns, soft handling, adjustable apparel thickness, and use as home textiles. However, the final visual effects of such fabrics are difficult to predict prior to processing because of the rough surface caused by the connecting yarn and the inlay yarn of the fabric. This research applied a three-dimensional (3D) model instead of the original single-loop model to simulate knitted fabric. The 3D model is more suitable for a multilayer fabric because the simulation is quick, real, and convenient. The article includes experiments on structural parameters concerning regular dents of different samples, analysis of parameter data about the surface, and the simulation process with the objective of understanding the computer simulation of fabric. Results show good correlation between the simulation results and the actual fabric. Importantly, we can clearly see the expected effects in the fabrics without going through production and processing. This research will be useful for establishing a quick computer-generated simulation system for multilayer fabrics.

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Yen, Chien Kuo, Wen Hao Hsing, and Shih Yang Chen. "The Study of Two-Step Dip System of Conveyer by Different Pre-Treatment." Advanced Materials Research 287-290 (July 2011): 2622–25. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2622.

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In this study, the PET/Nylon woven fabrics first treated with infrared radiation and microwave, then dipped isocyanate solution. The surface of the fabric had treated by physical and chemical processing. Adhesion strength between fabric and fabric up rise to 37.4%, and treated by microwave up rise to while adhesion strength between fabric and rubber by up to 52.2%.

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Lou, Ching Wen, Shih Yu Huang, and Jia Horng Lin. "Processing Technique and Impact Resistance of Kevlar/FPET/LPET Protective Nonwoven Fabrics." Advanced Materials Research 910 (March 2014): 174–77. http://dx.doi.org/10.4028/www.scientific.net/amr.910.174.

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Nonwoven fabric technique has been extensively used because nonwoven fabrics can uses both filaments and staple fibers and have ease of processing, a wide range of raw material sources, and a short production. This study makes protective nonwoven fabrics with Kevlar fibers, flame retardant polyester (FPET) fibers, and low-melting-point polyester (LPET) fibers. The number of lamination layers of the nonwoven fabric is varied and examined to determine their influence on the mechanical properties of the protective nonwoven fabrics. The results of test show that tensile strength and bursting strength of the protective nonwoven fabrics increase as a result of the increased number of lamination layer.

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Ellinas, Kosmas, Angeliki Tserepi, and Evangelos Gogolides. "Superhydrophobic Fabrics with Mechanical Durability Prepared by a Two-Step Plasma Processing Method." Coatings 8, no. 10 (October 2, 2018): 351. http://dx.doi.org/10.3390/coatings8100351.

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Most studies on superhydrophobic fabrics focus on their realization using additive manufacturing (bottom-up) techniques. Here we present the direct modification of three different fabrics using a plasma-based method to obtain anti-adhesive and self-cleaning properties. A two-step plasma processing method is used: (a) for the creation of micro-nanoscale features on the fabric surface (plasma texturing step) and (b) the minimization of the fabric surface energy (by a short plasma deposition step of a very thin, low surface energy layer). The entire process takes only 14 min and all fabrics after processing exhibit high water static contact angles (WSCA > 150°), low contact angle hysteresis (CAH < 7°) and advantageous mechanical durability against hand-rumpling. The method is simple and generic, and it can be therefore expanded to other polymeric fabrics (i.e., acrylic) in addition to polyester, without any limitation rising from the weaving characteristics of the fabric or the starting nature of the material (i.e., hydrophobic or hydrophilic).

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Wang, Shu Wen, and Te Li Su. "Application of Wavelet Transform and TOPSIS for Recognizing Fabric Texture." Applied Mechanics and Materials 556-562 (May 2014): 4668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4668.

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Fabric quality detection and classification plays a very important role for the automatic detection in fabrics. Using wavelet transform, this study intends to analyze the fabric image and work out the type feature of fabric texture; and then through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the study tries to distinguish and classify the texture of fabrics, mainly of knited fabric, printed fabric, stain fabric and plain weave fabric. The approach of TOPSIS is applied in analyzing the correlation among random factor sequence of feature indexes after some data processing, and determining its texture type of the designated fabric on the basis of the highest correlative degree. Experiment findings show that the automatic recognizing system of fabric types discussed in this study is capable of recognizing four different textile images.

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Lin, Jia Horng, Chen Hung Huang, Kuo Cheng Tai, Chia Chang Lin, Yi Ting Tsai, and Ching Wen Lou. "Processing Technique of Sound Absorbent/Thermal-Insulating/Flame Retardant Composite Material." Advanced Materials Research 287-290 (July 2011): 2729–32. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2729.

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This research is to develop a processing technique for fabricating the three-dimensional nonwoven fabric with the sound absorption capability and flame retardant capability. Furthermore, the physical properties and functionalities of the three-dimensional nonwoven fabric are adequately evaluated and tested. Several nonwoven fabrics are fabricated by two polyester fibers with different denier numbers and the low-melting-point fibers. Then, multiple nonwoven fabrics are used to make three-dimensional nonwoven fabrics through lapping, needle-punching process. After being reinforced by heating in the hot air circulation oven, the physical properties of three-dimensional nonwoven fabrics such as tensile strength, breathability, sound-absorption coefficients, limiting oxygen index (LOI), and thermal conductive coefficients are properly evaluated. Subsequently, the influence of fiber faintness on the performance of sound-absorption and thermal insulation of three-dimensional nonwoven fabrics is carefully examined through the obtained results.

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Xu, Guo Sheng. "Fabric Defect Automated Detection Technology." Applied Mechanics and Materials 325-326 (June 2013): 1431–34. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1431.

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To solve the problem of automated defect detection for textile fabrics, this paper proposed a method for fabric defect detection which is based on computer vision. After the operations in many aspects of basis image processing, such as gray-scale, denoising, contour detection and morphological, and it can transmit the fabric defect image information to host-computer with the USB interface in time. In order to acquire high processing speed, the captured images from each camera are sent into one dedicate computer for distributed and parallel image processing. The experimental result confirms that the proposed method can is feasible in rapid defect detection, and has a broad market prospect.

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Muzafarovna, Avlikakulova Nafisa, Sobirova Sharofat Umidullayevna, and Ibadullaeva Shaxnoza Ilhamovna. "HARMONIZATION OF TYPES OF FABRIC ART PROCESSING TO STUDENTS." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 176–84. http://dx.doi.org/10.37200/ijpr/v24i4/pr200997.

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Akhtar, Khurram Shehzad, Ali Afzal, Kashif Iqbal, Zahid Sarwar, and Sheraz Ahmad. "Investigation of Manufacturing and Processing Techniques on Shade Variation and Performance Characteristics of Woven Fabrics." Journal of Engineered Fibers and Fabrics 13, no. 3 (September 2018): 155892501801300. http://dx.doi.org/10.1177/155892501801300308.

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The purpose of this research is to examine the properties of vortex and ring spun yarns and their influence on the properties of woven fabrics. Cotton/PET fibers with the same blend ratio were used to produce vortex and ring spun yarns of 24.6 tex. These yarns were woven into a fabric with a satin weave construction. Heat setting was done to control the dimensional shrinkage and its effect on results was investigated. The woven fabric was dyed using exhaust and continuous dyeing methods. The vortex yarn fabric yields superior shade depth, pilling and fastness properties in comparison to the ring yarn fabric.

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Havlová, Marie. "Detection of Fabric Structure Irregularities Using Air Permeability Measurements." Journal of Engineered Fibers and Fabrics 9, no. 4 (December 2014): 155892501400900. http://dx.doi.org/10.1177/155892501400900419.

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In this paper we demonstrate the possibility of using the close relationship between structure and air permeability of a woven fabric for the detection of the non-uniformity (or defects) in the structure of the fabric. Air permeability of fabrics is a principal property of the structure of a textile material. A very small change in the structure of the fabric at a given location causes a change in the permeability at that location. First we measure the air permeability at defined locations of the fabric. The method allows us to detect areas with an extreme value of permeability – the locations “suspected” of extreme unevenness of fabric's structure. Second, we explore the structure of the fabric in these areas of extreme values of the permeability and attempt to determine the causes of the irregularities in the fabric's structure. To quantify and describe the degree of these irregularities we applied methods of image analysis and statistical processing on acquired data. For our experiment, woven fabrics in the plain weave made from 100% staple yarn polyester were used. Results of our research confirm that significantly greater permeability variations occur in the weft direction of the fabric. Subsequent analysis of the structure of the fabric shows the bimodal nature or the data corresponding to the measurement of width of inter-yarn pore in the place of the maximal value of permeability. The observed higher value of permeability can be attributed to the irregularity of warp yarns at a given location of fabric. Initial permeability measurements enabled us to detect locations of its extreme values. Further close examination of these “suspected” locations of the fabric by a detailed analysis of the structure lead to the determination of the causes of the related irregularities.

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Zhou, Qi, Wuchao Wang, Yanyun Zhang, Christopher J. Hurren, and Qing Li. "Analyzing the thermal and hygral behavior of wool and its impact on fabric dimensional stability for wool processing and garment manufacturing." Textile Research Journal 90, no. 19-20 (March 5, 2020): 2175–83. http://dx.doi.org/10.1177/0040517520910501.

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Wool is one of the most moisture sensitive natural fibers. This paper investigated changes of wool fiber diameter, fabric dimensions and fabric dimensional properties, as a function of moisture regain, temperature and pH. Experiments were conducted on fabrics with different weave structures as well as on fabrics with and without a permanent set. Results showed that the fabrics tended to contract when they were subjected to increased temperature at saturated regain. The degree of contraction appeared to depend on the weave structure of the fabrics and permanent setting treatments. Dimensions of the wool fabrics were also found to be dependent on the pH. Greater fabric dimensions were observed at pH 7.2 than at pH 2.1. The contraction effect was almost reversible when unset fabric samples were measured in pH 2.1. The reasons for the changes of dimensional property were analyzed in terms of changes in wool fiber swelling, yarn crimp and polymer relaxation phenomena with changes in regain, temperature and pH. Industrial implications from outcomes of this research to practical wool processing are discussed in the paper.

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Wan, Tao Yu, and G. K. Stylios. "Investigates of Fabric Coating Approaches: Process and Observation." Advanced Materials Research 658 (January 2013): 140–46. http://dx.doi.org/10.4028/www.scientific.net/amr.658.140.

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In this work, polyurethane coating on the fabrics is studied in the Basecoater 200. The structure and morphology of coated fabrics were investigated using SEM and soaking test in the cured coated samples. Coating thicknesses, surface friction coefficient and surface roughness variation of the samples were measured using the surface tester of the KESF. Results showed that uniform and cross linking degree of the surface layer of coated samples have close relevant with coat processing. The performance quality of end products can be achieved by optimization of process variables, including coating speed, coating solution, and cure temperature and fabric matrixes during fabric coating processing.

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Yu, Fang. "The Drapability Effects Test Method of Lining and Shell Fabric." Advanced Materials Research 331 (September 2011): 675–78. http://dx.doi.org/10.4028/www.scientific.net/amr.331.675.

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The fabric drapability is the peformation due to fabric weight to sagging, reflecting the drape degree and drape shape of fabric. This paper design a new method to measure the drapability of mulit-layer fabric by computer image processing technology. It can evaluate the drapability performance and the interaction of fabrics and lining. A test equipment was made. Photos were took in planfprm and side elevation in warp and weft by a digital camera while the sample fabric was overhanging naturally. The datas, like drape coefficient and drape degree, were processed and analysized by AUTO CAD. The paper’s results are that: The drape coefficient and the drape degree of the mulit-layer fabric are between the single-layer fabric’s and single-layer lining’s, and they are closer to the target fabrics.

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Sisodia, Nidhi, M. S. Parmar, and Saurbh Jain. "Effect of Pre-Treatment on the Smoothness Behaviour of Cotton Fabric." Fibres and Textiles in Eastern Europe 27, no. 5(137) (October 31, 2019): 70–79. http://dx.doi.org/10.5604/01.3001.0013.2901.

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Before dyeing, woven cotton fabrics have been passed through different pre-treatments like desizing, scouring, bleaching and mercerising to enhance quality. In every treatment cotton fabric is treated with different chemicals and mechanical processes. After these treatments, the feel of the fabric has been changed. The change in feel or in terms of the hand value of treated fabrics were analysed by determining the bending length, crease recovery angle, SEM, FTIR, surface roughness and smoothness properties. Other physical properties viz. the tear and tensile strength were also evaluated. Fabric surface roughness and smoothness were determined using the Kawabata Evaluation System (KES) and digital image processing method. Using MATLAB software, digital image processing techniques were used to evaluate the roughness index. The study revealed that the pretreatment process alters the fabric surface. Statistical analysis (ANOVA) was carried out using SPSS software in order to establish the relationship between the pre-treatment process effect on the bending length, smoothness and crease recovery angle.

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Hron, Rebecca J., Doug J. Hinchliffe, and Brian D. Condon. "Optimized hydroentanglement processing parameters for nonwoven fabrics composed entirely of cotton fibers." Journal of Engineered Fibers and Fabrics 15 (January 2020): 155892502093543. http://dx.doi.org/10.1177/1558925020935436.

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A study was conducted on a commercial grade hydroentanglement system to assess the effects of jet strip configuration in terms of both orifice diameter (0.10 mm, 0.12 mm, and 0.14 mm) as well as the number of orifices per inch (40 and 50) on the properties of resultant nonwoven cotton fabrics at various hydroentanglement pressures (0, 5.0, 7.5, 10.0, 12.5, and 14.0 MPa). It was found that an increase in the energy applied to the fabric web resulted in a nonwoven with increased absorbency. The results of air permeability testing indicate that a combination of variations in the orifice diameter and the number of orifices per inch as well as the energy applied determine the overall air permeability of the fabric. Tensile testing revealed that increasing the energy applied to the fabric resulted in increased strength in both the machine and cross directions and decreased elongations. These results indicate that the mechanical and performance characteristics of nonwoven cotton fabrics produced by hydroentanglement may be manipulated to obtain the desired characteristics for the targeted end-use application.

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Khoddami, Akbar, Mohammad I. Soleimani, and Hugh Gong. "Effects of finishing on the mechanical and thermal properties of fabrics from wool and hollow polyester fibres." Textile Research Journal 81, no. 19 (November 2011): 2006–16. http://dx.doi.org/10.1177/0040517511407381.

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The effects of finishing steps on hollow and solid polyester/wool have been studied in order to establish the processing behaviour and performance characteristics of fabrics from these fibres. The effect of hollow fibres on fabric tensile strength, pilling, and crease recovery were studied. In addition, the water vapour permeability, air permeability, thermal properties and fabric handle were investigated. The results show that finishing has no adverse effects on fabric strength. By using hollow fibres in the fabrics, the extent of pilling was reduced. Among the different steps of finishing, scouring has the most significant effect on fabric hand due mainly to the large reduction in both bending, and shear rigidity and hysteresis. The results on crease recovery, water vapour permeability and air permeability revealed that the fabric properties are more affected by the fabric structure than the type of polyester fibre. In addition, while the hollow fibre fabrics always have lower thermal conductivity than similar fabrics with solid polyester fibres, their thermal properties are greatly affected by the dyeing process.

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Chang, Yu Tao, Xiao Ming Qian, Hai Wen Liu, and Hua Wu Liu. "Weaving 3D Fabric with a “中” Shaped Cross-Section." Advanced Materials Research 331 (September 2011): 202–5. http://dx.doi.org/10.4028/www.scientific.net/amr.331.202.

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3D woven fabric significantly improves the mechanical properties, especially the strength resulting from the between layers connections of yarns Hence, 3D woven fabrics have been widely used as reinforcing material in prefabricated composites, A particular 3D woven fabric with “中” shaped cross section was developed in this study .The fabric was made in a plane loom weaving machine. The designing procedure and processing methods are given in details.

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Tsai, Peter Ping-yi. "Theoretical and Experimental Investigation on the Relationship between the Nonwoven Structure and the Web Properties." International Nonwovens Journal os-11, no. 4 (December 2002): 1558925002OS—01. http://dx.doi.org/10.1177/1558925002os-01100408.

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Nonwoven fabrics provide a large variety of applications such as absorbents, insulators, separators, barriers, coverstocks, and filters, etc. The importance of fabric properties cannot be overemphasized in determining their applications. Three independent fabric parameters, i.e., fiber diameter, packing density and basis weight, are determined by controlling the nonwoven processing conditions. Other fabric properties such as pore size and performance properties such as absorbency, fluid permeability, filtration efficiency and hydro-head pressure, etc. are dependent properties on the independent parameters. This paper describes the theoretical derivation of the fabric dependent properties upon their independent parameters. The experimental results are compared with the theoretical data. The theoretical design of the fabrics for desired properties is discussed.

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Rajan, T. Palani, and S. Sundaresan. "Thermal comfort properties of plasma-treated warp-knitted spacer fabric for the shoe insole." Journal of Industrial Textiles 49, no. 9 (November 4, 2018): 1218–32. http://dx.doi.org/10.1177/1528083718811084.

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Thermo-physiological comfort properties are crucial aspects of interlining material comfort for shoe insole which can be examined for permeability and conductivity. Air and water vapour permeability, conductivity and resistance of thermal are the main criteria for thermo-physiological comfort properties. Clothing comfort can be enhanced through special finishes including plasma which is one among the well known for surface modification. Oxygen and argon atmospheric plasma were used to analyse the comfort properties of polyester warp-knitted spacer fabric based on the fabric thickness and gas processing time. The outcomes exposed a notable influence in the comfort properties of polyester spacer fabrics after the atmospheric plasma processing time. The results too pointed out that the water vapour permeability and thermal resistance increased, although the air permeability and thermal conductivity decreased with the atmospheric plasma processing. When considering all the values of plasma-treated spacer fabrics, the 3 mm thickness of polyester spacer fabric proved to have better response and comfort properties than the 2 and 4 mm spacer fabrics. The findings show that final comfort properties of polyester warp-knitted spacer fabrics can be improved by using plasma treatments, and argon plasma treatment is the best method when compared to the oxygen plasma treatment.

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HAO, Bao Ming, Hai Feng Xu, and Huan Yin Guo. "Fabric Defect Detection Based on Cross-Entropy." Advanced Materials Research 760-762 (September 2013): 1233–36. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1233.

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The core of fabric defects detection is the collection and processing of fabrics image. A scheme for fabric defect detection based on cross-entropy is proposed in this paper.The crossentropy value illuminates the information difference between the template image and the realtime image on the average.So can take advantage of cross-entropy criteria to use for defect detection and identification. Results have confirmed the usefulness of this scheme for fabric defect detection.

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Wei, Jing Jing, and Yan Jun Liu. "The Processing of the Defects Images of Knitted Fabrics." Advanced Materials Research 503-504 (April 2012): 1501–4. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1501.

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The computer techniques are used in the processing of the defects images of weft knitted fabrics in this paper. First, the fabric defects images are collected, and are pretreated in order to be seen more clearly. Then the classification and the extraction of characteristic value of the defects are introduced on the basis of researching anglicizing of the pretreated images, and reaching the purpose of identifying the defects types of weft knitted fabrics.

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Žák, Josef. "Modelling of Fabric in Plain Weave." Applied Mechanics and Materials 821 (January 2016): 412–19. http://dx.doi.org/10.4028/www.scientific.net/amm.821.412.

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In our work we tried to find a simple and reliable method to determine mechanical properties of a woven fabric with the main respect to the processing of these fabrics on a weaving machine. Some interesting results emerged by that way concerning for example the design of fabrics. We were using primarily the means of classical mechanics and we tried to avoid the use of computer resource demanding tools as much as possible. Also we were concerned by the applicability of results as large as possible since our weaving machines are processing a wide spectrum of fabrics.\parIn this paper, the principles of our approach are presented with some numerical examples. Few practical experiments were carried out at this moment, so only limited comparison with the reality could be done.

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Ireen, Suraiya, and Md Mahbubur Rahman. "Comparative Study on Different Physical Properties of Grey & Finished Single Jersey Derivatives." GUB Journal of Science and Engineering 5, no. 1 (June 28, 2018): 6–10. http://dx.doi.org/10.3329/gubjse.v5i1.47894.

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Knitting is the mostly used fabric manufacturing processes in Bangladesh through which various types of knitted fabrics with different physical and chemical properties are produced. Single jersey derivatives have some dimensional, physical or chemical properties that change according to some factors and processing. These properties also change after dyeing & finishing process. As finishing is mandatory for fabric production, some tests are carried out after finishing stage & proper controlling is done according desired quality. Single jersey fabrics show low strength and higher abrasion resistance than grey fabric after dyeing & finishing. Finished fabric is more stiff than grey. Spirality & shrinkage properties of the single jersey fabric are rapidly change after dyeing & finishing and generally acceptable under the limit. Therefore, this paper is all about the comparison of physical properties among various grey and finished single jersey weft knitted fabrics which will be helpful to know for efficient production, taking corrective actions to minimize changes of basic physical properties and produce quality knit products. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 5(1), Dec 2018 P 6-10

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Gilbert, Christina, Serge Kokot, and Ulrich Meyer. "Application of DRIFT Spectroscopy and Chemometrics for the Comparison of Cotton Fabrics." Applied Spectroscopy 47, no. 6 (June 1993): 741–48. http://dx.doi.org/10.1366/0003702934067036.

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Two sets of cotton fabrics—one consisting of different types of fabric and the other of a fabric sampled sequentially during its normal processing stages—were investigated by DRIFT spectroscopy. The band assignments were consistent with previous work but, in general, the spectra could not be differentiated on visual examination. However, they were successfully qualitatively and quantitatively distinguished with the use of chemometrics; a chemical basis for fabric clustering was also indicated. This approach is a significant improvement on previously reported work with KBr disk IR sampling.

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El-Hadidy, A., A. Fadel, and H. Fadel. "An Engineering Approach for Assessment of Fabric Filterability." Research Journal of Textile and Apparel 18, no. 1 (February 1, 2014): 15–24. http://dx.doi.org/10.1108/rjta-18-01-2014-b003.

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Multilayer technical fabrics are an important part of fibrous filters used in raw water filtration systems. The implementation of the filtration process depends on the structure of the fabric system, water particle deposition mechanisms and water flow conditions. This paper discusses, in terms of theoretical models, the results of an investigation on the flow resistance and efficiency of raw water filtration at the initial stage, in which the dispersed phase consists of liquid particles, through a multilayer technical fabric system with different structural parameters. The research results indicate the functional dependence of filtering properties on thestructural parameters of the fibres studied (primarily, fabric packing density coefficient,fabric tightness, and raw water flow parameters, such as the water flow rate (time)). The results of the research on multilayer technical fabrics with particular focus on the analysis of pore fraction distribution may be of crucial importance in forecasting the use of multilayer technical fabrics as filtering media for raw water filtration processing, considering that the conditions are sufficient

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Zhang, Yu Ti, Dao Shun Xue, and Li Na Liu. "Research on the Dynamic-Elegance Property of Fabric." Advanced Materials Research 796 (September 2013): 161–65. http://dx.doi.org/10.4028/www.scientific.net/amr.796.161.

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Fabric deformation performance is an index that characterizes the dynamic performance of the fabric. However there is no separate study about fabric deformation performance. According to morphological wave data measured by fabric deformation testing device made by ourselves, we have determined to cluster analysis fabric deformation performance with the following six indicators, that is, the wavelength of the first half-wave, amplitude, half-wave area, shape coefficients, amplitude attenuation coefficient, and the number of half-wave, and also have done comparative analysis of deformation characteristics of four types of fabric. The results showed that the six indicators can measure the different kinds of fabric’s deformation characters much better, and showed that the weight of per square meter of fabrics and bending rigidity have influenced significantly. The research results have a realistic meaning for fabric processing technology and the rational use

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Lin, Jia Horng, Chen Hung Huang, Kuo Cheng Tai, Chia Chang Lin, Yu Chun Chuang, and Ching Wen Lou. "Processing Technique of Fiber-Based Composite Sound Absorbent/Thermal-Insulating Board." Advanced Materials Research 287-290 (July 2011): 2677–80. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2677.

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The rapid advances in technology have driven people for seeking ways to improve the quality of their living environment. While excessive noise is more likely to affect people physically and psychologically such as tiredness, dulling of the senses, lack of concentration, and reduction in work efficiency, etc, therefore, noise suppression has become an important research issue. In this research, 7 D polyester staple fiber and 4 D low melting point fiber have been used to fabricate the polyethylene terephthalate (PET) fabric through the process of opening, blending, carding lining, lapping, and needle-punching. Meanwhile, the contents of low-melting point polyester fiber are varied as 10 wt%, 20 wt%, 30 wt%, 40 wt% and 50 wt% in PET fabric. The physical properties of PET fabrics are then evaluated after hot pressing process. Experimental results show that 50 wt% low-melting point polyester fiber is the best choice for PET fabric. Further, the techniques of lamination and multiple needle-punching are employed to make the PET/PP composite sound-absorbing board. A layer of polypropylene (PP) nonwoven selvages is placed between two layers of PET fabrics in the process of lamination. The PET/PP fibers casted into a mold are then put into a hot-air circulation oven around 170 °C for 10 minutes. Afterwards, the evaluation of PET/PP composite sound-absorbing board on sound absorption, flame resistance, thermal insulation, and relative mechanical properties is properly conducted.

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Huang, Chang-Chiun, Sun-Chong Liu, and Wen-Hong Yu. "Woven Fabric Analysis by Image Processing." Textile Research Journal 70, no. 6 (June 2000): 481–85. http://dx.doi.org/10.1177/004051750007000603.

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Khan, Babar, Fang Han, Zhijie Wang, and Rana J. Masood. "Bio-inspired approach to invariant recognition and classification of fabric weave patterns and yarn color." Assembly Automation 36, no. 2 (April 4, 2016): 152–58. http://dx.doi.org/10.1108/aa-11-2015-100.

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Purpose This paper aims to propose a biologically inspired processing architecture to recognize and classify fabrics with respect to the weave pattern (fabric texture) and yarn color (fabric color). Design/methodology/approach By using the fabric weave patterns image identification system, this study analyzed the fabric image based on the Hierarchical-MAX (HMAX) model of computer vision, to extract feature values related to texture of fabric. Red Green Blue (RGB) color descriptor based on opponent color channels simulating the single opponent and double opponent neuronal function of the brain is incorporated in to the texture descriptor to extract yarn color feature values. Finally, support vector machine classifier is used to train and test the algorithm. Findings This two-stage processing architecture can be used to construct a system based on computer vision to recognize fabric texture and to increase the system reliability and accuracy. Using this method, the stability and fault tolerance (invariance) was improved. Originality/value Traditionally, fabric texture recognition is performed manually by visual inspection. Recent studies have proposed automatic fabric texture identification based on computer vision. In the identification process, the fabric weave patterns are recognized by the warp and weft floats. However, due to the optical environments and the appearance differences of fabric and yarn, the stability and fault tolerance (invariance) of the computer vision method are yet to be improved. By using our method, the stability and fault tolerance (invariance) was improved.

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Li, Zhongjian, Fei Yu, Ning Zhang, Yichen Lu, Ruru Pan, and Weidong Gao. "Automatic Construction of Digital Woven Fabric by Using Sequential Yarn Images." Autex Research Journal 19, no. 2 (June 1, 2019): 147–56. http://dx.doi.org/10.1515/aut-2018-0037.

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Abstract In this article, a computerized method is proposed for simulating digital woven fabric (DWF) based on sequential yarn images captured from a moving yarn. A mathematical model of woven fabric structure is established by assuming that the crimped shape of yarns in weave structure is elastica, and the cross-sections of yarn in sequence image and fabric are circular and ellipse, respectively. The sequential yarn images, which are preprocessed and stitched first by image processing methods, are resized based on the mathematical model. Then a light intensity curve, which consists of radial curve model and axial curve model, is used to simulate the gray texture distribution of interlacing points in radial and axial directions. Finally, a Boole Matrix model is used to control the woven pattern. In the experiment, a slub yarn and a normal yarn samples with same count are applied to simulate gray texture fabrics. Then the gray fabrics are transformed to color fabrics based on three color maps. The fabric simulations are confined to single fabrics of plain, 2/2 matt, and 1/3 twill weaves.

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bin Saiman, Mohd Pahmi, Wahab Saidin, and Mat Uzir Wahit. "The Effect of Compression Temperature and Time on 2D Woven Kenaf Fiber Reinforced Acrylonitrile-Butadiene-Styrene (ABS)." Applied Mechanics and Materials 315 (April 2013): 630–34. http://dx.doi.org/10.4028/www.scientific.net/amm.315.630.

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A natural fibre-based composite from woven kenaf was fabricated using hydraulic hot press machine. Plain woven kenaf fabrics were prepared and used as reinforced material with ABS sheet followed by hot press. Woven fabric was treated using sodium hydroxide and being compare with untreated fabric. The effect of the processing temperature and time towards tensile properties of the composite were investigated. Tensile test was carried out to measure the strength of the composite towards the effect of processing temperature and time. The surface morphology of the composite was studied with Scanning Electron Microscope (SEM) and Optical Microscopic. The result shows that woven Kenaf degrade in strength when expose with high temperature and long exposure to the heat. The permeability of woven Kenaf plain fabric does not indicate a good penetration as observed by microscopy.

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Marx, Lukas, and Mathias Liewald. "Joining of carbon fibres with aluminium structures – Processing and infiltration modelling." Journal of Composite Materials 54, no. 25 (April 23, 2020): 3767–75. http://dx.doi.org/10.1177/0021998320912317.

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Against the background of today's lightweight design, an innovative joining technique has been developed at the Institute for Metal Forming Technology/Stuttgart for combining aluminium sheet structures with carbon fabrics. During the process of Joining of Carbon Fibres with Aluminium Structures (JOCA process), two or more aluminium sheets with carbon fabric layers in-between are initially conductively heated up into the semi-solid material state by means of two adjacent electrodes of a welding gun. If heated up to a liquid share of 30% to 60%, the aluminium matrix infiltrates the carbon fabric resulting into a firm joint after solidification of the metal material. This publication provides an overview of the research results obtained by experimental and numerical investigations of the infiltration process achieved so far.

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Zhang, Rui, and Binjie Xin. "A review of woven fabric pattern recognition based on image processing technology." Research Journal of Textile and Apparel 20, no. 1 (March 14, 2016): 37–47. http://dx.doi.org/10.1108/rjta-08-2015-0022.

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Purpose The purpose of this paper is introducing the image processing technology used for fabric analysis, which has the advantages of objective, digital and quick response. Design/methodology/approach This paper briefly describes the key process and module of some typical automatic recognition systems for fabric analysis presented by previous researchers; the related methods and algorithms used for the texture and pattern identification are also introduced. Findings Compared with the traditional subjective method, the image processing technology method has been proved to be rapid, accurate and reliable for quality control. Originality/value The future trends and limitations in the field of weave pattern recognition for woven fabrics have been summarized at the end of this paper.

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Haleem, Noman, Sayed Ibrahim, Tanveer Hussain, Abdul Jabbar, Mumtaz Hassan Malik, and Zulfiqar Ali Malik. "Determining the Light Transmission of Woven Fabrics through Different Measurement Methods and Its Correlation with Air Permeability." Journal of Engineered Fibers and Fabrics 9, no. 4 (December 2014): 155892501400900. http://dx.doi.org/10.1177/155892501400900409.

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The study aims to present a relationship between air permeability of woven fabrics and their light transmission properties. Polyester / cotton (48:52) blended woven fabrics were utilized in the study. Air permeability is measured using the standard test method already established while the light transmission through the fabric is measured by means of two different methods. One method is based on measurement of light transmitted from a back lit fabric by means of a light sensor. The second method is based on image processing techniques which require a digital back lit image of fabric and an algorithm is applied to measure the amount of light transmitted through it. Results from both methods are compared and correlated with the air permeability and porosity of woven fabrics. Analysis shows that the results from former method have a stronger and more significant relationship with air permeability of woven fabrics comparatively.

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Kopareva, Ekaterina M., Marina V. Zimina, Sergey N. Titov, and Lyubov′ L. Chagina. "USING THE PRINCIPLES OF AUTOMATED OPTICAL IMAGE RECOGNITION TO ASSESS THE STRUCTURAL STABILITY OF KNITTED FABRICS." Technologies & Quality 51, no. 1 (April 29, 2021): 4–8. http://dx.doi.org/10.34216/2587-6147-2021-1-51-4-8.

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The article shows the possibility of determining the characteristics of stretch deformation of knitted fabrics by optoelectronic processing of digital images using the developed software. The technique is applicable for knitted fabrics of sparse structures of any fibrous composition. The tests are carried out on a developed device that implements the possibility of spatial deformation of the samples. As a quantitative indicator of the change in the structure of the knitted fabric under tension, a coefficient, that characterises the change in the structure by increasing the through porosity of the fabric, is used. The stability of the structure of the knitted fabric is evaluated by an indicator that determines the recoverability of the loop structure after rest. The method was tested on linen knitted fabrics. The results of experimental studies should be used at the design stage of products to create knitted fabrics resistant to the action of operational loads.

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Yuan, Ru Fang, Yong Yang Wang, and Cheng Yan Zhu. "Research on the Porosity and Pore Size of Spun-Bonded Fabrics Based on Matlab7.0 Image Processing Technology." Advanced Materials Research 601 (December 2012): 99–104. http://dx.doi.org/10.4028/www.scientific.net/amr.601.99.

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The image with high resolution was obtained through scanning the spun-bonded fabric, and processed with the help of Matlab7.0 software to calculate the pore structure of the spun-bonded fabric. On the basis of the relationship between number of pixels and area, the porosity and average pore size of spun-bonded fabric were analyzed; pore size and porosity were calculated by using the equation method and the air bubble test method as well. By comparing the data of the two methods, the correlation between them was gotten. Finally, it was shown that using the image processing technology to research the pore structure of spun-bonded fabric was a feasible way. There are various factors affecting the performance of textile filtering materials, and the porosity and pore size of the fabrics play an important role in filtration. As is known to all, fabric porosity and pore size are indicators to measure the size of fabric pore volume, one is the ratio of pore volume with the total fabric volume, and the other one refers to the average diameter of the holes in the textile filter material. They directly affect the permeability, the hydraulic conductivity of the fabric and the ability to prevent the particles getting through. Generally speaking, the bigger the porosity and pore size, the greater the permeability coefficient and the better the permeability of the filter material. Porosity and pore size directly affect the product's function and application. Therefore, the pore structure has a great impact on textile filter performance [1]. Nowadays, the formula method was generally used to calculate the porosity, and the bubble method was always used in testing pore size.

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Niles, S. N., S. Fernando, and W. D. G. Lanerolle. "A System for Analysis, Categorisation and Grading of Fabric Defects using Computer Vision." Research Journal of Textile and Apparel 19, no. 1 (February 1, 2015): 59–64. http://dx.doi.org/10.1108/rjta-19-01-2015-b006.

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Inspection of fabrics is a major consideration in fabric manufacture, as well as in manufacture of garments and other fabric-based goods. In this research, a computer-based system for objective assessment of fabric defects was designed with emphasis placed on fabric defects occurring in the Sri Lankan industry. Image processing techniques were used to analyse scanned images of the test fabric, compare it with an ideal sample, and identify defects according to pre-learnt rules. The information gathered was then used to grade the fabric, either by determining the frequency of defect occurrence or assigning points. A new classification method for common defects was designed, thereby facilitating grading according to commonly used grading systems. A coding system for defects was also designed to help report defects to the user. The fabric defects were classified and stored according to the developed classification method and coding system.

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Hung, On-na, Chee-kooi Chan, Chi-wai Kan, and Chun-wah Marcus Yuen. "Microscopic study of the surface morphology of CO2 laser-treated cotton and cotton/polyester blended fabric." Textile Research Journal 87, no. 9 (August 9, 2016): 1107–20. http://dx.doi.org/10.1177/0040517516648511.

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This paper presents how the morphology of fibers is affected by CO2 laser treatment. The change in morphology of fibers induced by a laser affects the physical and mechanical properties of the fabric, such as water absorption, dye uptake, resistance to wrinkles and adhesion to other materials, etc. The morphology of laser-treated fibers was analyzed by scanning electron microscopy (SEM). Samples of cotton twill fabric, cotton/polyester blended twill fabric and cotton knitted fabrics with different yarn counts were studied before and after laser treatment. SEM images reveal different sizes of pores and cracks on the surface of cotton fibers. In the case of cotton/polyester blended twill fabric, the two types of fibers responded differently to laser treatment; the change in cotton fibers was slightly different from the SEM images of 100% cotton twill fabric. The number of pores and cracks on the fiber surface of cotton/polyester fabric was lower than that found in 100% cotton twill fabric. Polyester fibers melt and flow while cotton fibers are encased in resolidified polyester. For 100% cotton knitted fabrics, the thickest yarn with the lowest yarn twist exhibited the largest change when compared with fabrics knitted with lower yarn counts. The degree of change of fiber surface modification was enhanced with an increase of laser processing variables.

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Hasani, Hossein, Sanaz Hassan Zadeh, and Sanaz Behtaj. "Bagging Behavior of Different Fabric Structures Knitted from Blended Yarns using Image Processing." Journal of Engineered Fibers and Fabrics 7, no. 3 (September 2012): 155892501200700. http://dx.doi.org/10.1177/155892501200700302.

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This work focuses on the effect of blend ratios and fabric structure on the residual bagging height of knitted fabrics produced from blended rotor yarns using image analysis technique. Simplex lattice design was used to determine the combinations of mixture ratios of the fiber types. Knitted fabrics with three different structures were produced from Viscose/polyester blended rotor yarns. Mixture-process crossed regression models with two mixture components and one process variable (tightness factor) were built to predict the residual bagging height.

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Pang, Yu, Zhi Li Zhong, Hua Wu Liu, and Liang Kui Rao. "Research on Fire-Resistant Fabric Properties of Basalt Fiber." Applied Mechanics and Materials 217-219 (November 2012): 1151–54. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.1151.

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Fire retardant performance is an important indicator of fire-resistant fabric, and a major part of fabric protective properties, which has a great relationship with raw materials and weaving processing parameters of weaving. In this paper, basalt fiber were used to make fire-resistant fabric due to the superior properties of heat resistance, anti-oxidation, radiation, insulation of noisy and heat, filtration and high compression strength and shear strength. The fabrics of different weaves were produced on a sample loom. Then the properties, such as abrasion durability, fire resistance, reaction to acid and alkali were measured for evaluation. The results revealed that basalt fiber has great advantages for producing fire-resistant fabric.

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Mežinska, Silvija, Ilmārs Kangro, Edgars Zaicevs, and Gunta Salmane. "THE EFFECT OF 3D PRINTING ON A TEXTILE FABRIC." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 20, 2020): 729. http://dx.doi.org/10.17770/sie2020vol5.5012.

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3D printing capabilities are also used in the fashion and textile industries. 3D printed textiles are a new opportunity to create an individual design. Traditional textile structures can be interpreted using 3D printing technologies and materials. One of the most important factors associated with the use of 3D printing technology is to reduce the impact of processing on the physical properties of textile fabrics. Availability of 3D printers at Rezekne Academy of Technologies (RTA) provides experimental work with fabrics of different thickness and fibres as well as different filaments. This study is based on the analysis of synthetic fibre cloth processing and the effect of 3D printing parameters on textile materials. By applying successive layers of materials, the interaction between 3D printing and textiles is studied. In terms of adhesion and stability, the best adhesion parameters for a particular type of fabric are determined by analysing the type of the fabric. The variance analysis method is used to process the research results.

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Sun, Xun Ke, Tao Qiu, Mei Jun Chen, and Cen Feng. "Correlation Analysis Based on the Performance and Structural Parameters of Woven Fabrics for Bedding." Advanced Materials Research 796 (September 2013): 240–44. http://dx.doi.org/10.4028/www.scientific.net/amr.796.240.

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Typical woven fabrics for bedding were selected from the market in this paper. Based on test and analysis results of the structural parameters, the relevant performance indicators were measured in consideration of mechanical properties,comfort and style of fabrics, and the test data were systematically integrated and the relevant quantitative data were ultimately obtained. Meanwhile, Fabric Assurance Tester was used to determine the style of the fabrics and tested indicators were chosen, following with normalized statistics and processing. In addition, SPSS software was applied for the correlation analysis between fabric properties and structural parameters through the correlation and partial correlation analysis.According to the results of correlation coefficient,partial correlation coefficient, the paper revealed the intrinsic link between the fabric’s structural parameters and its properties. As to the main factors of the structural parameters which greatly affect the performance of the fabrics, they will provide scientific evidence for the design and development of fabric.

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Jeyaraj, Pandia Rajan, and Edward Rajan Samuel Nadar. "Effective textile quality processing and an accurate inspection system using the advanced deep learning technique." Textile Research Journal 90, no. 9-10 (October 23, 2019): 971–80. http://dx.doi.org/10.1177/0040517519884124.

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This research paper focuses on the innovative detection of defects in fabric. This approach is based on the design and development of a computer-assisted system using the deep learning technique. The classification network is modeled using the ResNet512-based Convolutional Neural Network to learn the deep features in the presented fabric. Being an accurate method, this enables accurate localization of minute defects too. Our classification is based on three major steps; firstly, an image acquired by the NI Vision model and pre-processed for a standard pattern to Kullback Leibler Divergence calculation. Secondly, standard textile fabrics are presented to train the Convolutional Neural Network to classify the defective region and the defect-free region. Finally, the testing fabrics are examined by the trained deep Convolutional Neural Network algorithm. To verify the performance, multiple fabrics are presented and the classification accuracy is evaluated. For standard defects on defective fabrics, an average accuracy of 96.5% with 98.5% precision is obtained. Experimental results on the standard Textile Texture Database dataset confirmed that our method provides better results compared with similar recent classification methods, such as the Support Vector Machine and Bayesian classifier.

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Zhang, Aidan, and Jiu Zhou. "Color rendering in single-layer jacquard fabrics using sateen shaded weave databases based on three transition directions." Textile Research Journal 88, no. 11 (March 20, 2017): 1290–98. http://dx.doi.org/10.1177/0040517517698989.

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Shaded weaves are used in digital jacquard fabrics for expressing rich colors, especially in the design of figured jacquard fabrics. The original image process and shaded weave database ( SWD) process are two independent design processes for the production of figured jacquard fabrics. SWD processes are relatively fixed, but original images vary frequently, and color value inconsistencies between the original image and its jacquard fabric are often neglected by researchers. This paper presents the design principles of a SWD based on a sateen basic weave and analyzes the color rendering of seven groups of fabric specimens produced using SWD processes with three transition directions and different step numbers. The color rendering characteristics of the SWD process were mainly determined by the transition direction of the interlacing points, but were also slightly affected by the weave’s step number when horizontal transitions were used. Three photographic images with different tones were selected to design three groups of single-layer figured jacquard fabrics. The results proved that the tone of a woven fabric is determined by the SWD process used, not the original image. A method was proposed to predict the final tone of a woven fabric by adjusting the lightness value of the original image according to the values of the fabric specimens of the SWD process that are used. This study outlines how the digital processing of a figured jacquard fabric design may be achieved using a SWD process based on one of the three design directions.

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Lou, Ching Wen, Chao Tsang Lu, Yueh Sheng Chen, Meng Chen Lin, Ting Ting Li, and Jia Horng Lin. "The Primary Study on PLA/Tencel Nonwoevn Fabric." Applied Mechanics and Materials 184-185 (June 2012): 1333–36. http://dx.doi.org/10.4028/www.scientific.net/amm.184-185.1333.

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Polylactic acid (PLA) is often applicable in biomedical because in environment it degrades into carbon dioxide and water. This study aims to prepare sandwich-structure PLA/ Tencel composite nonwoven, following by its property test for evaluating effect on wound dressing. In this study, PLA fibers, blended with Tencel fibers, were made into nonwoven fabrics based on nonwoven processing technology. After that, their tensile strength, tearing strength and softness were tested for evaluating nonwoven fabric properties. The result displays that, PLA nonwoven fabrics show higher tensile strength and tearing strength than Tencel nonwoven fabrics.

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Kwon, Dae-Hyeon, Jin-Hyuk Kwon, Jaebum Jeong, Youngju Lee, Swarup Biswas, Dong-Wook Lee, Sohee Lee, Jin-Hyuk Bae, and Hyeok Kim. "Textile Triboelectric Nanogenerators with Diverse 3D-Spacer Fabrics for Improved Output Voltage." Electronics 10, no. 8 (April 14, 2021): 937. http://dx.doi.org/10.3390/electronics10080937.

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Electrically superior triboelectric nanogenerators (TENG) using 3D fabric and PDMS show great application potential for biokinetic energy harvesting and multifunctional self-power devices. In this study, TENG with fabric-PDMS-fabric structure was produced using various 3D fabrics and PDMS. The peak-to-peak output voltage of various 3D fabrics was compared. The output voltage changes due to structure and vertical fibers. Also, the coefficient of surface friction between the PDMS and the fabric improves the output voltage. TENG using different 3D-spacer polymeric fabrics showed different maximum peak-to-peak output voltage performance. It is attributed to the stiffness, lateral elasticity and 3D morphology of the fabrics. It is considered that those factors including stiffness, lateral elasticity and 3D morphology influence the densities in vertical and lateral fiber to fiber interaction.

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Kuo, Chung-Feng Jeffrey, and Wen-Tsung Lin. "Optimum processing parameters of sueding fabric comfort by applying the Taguchi method and fuzzy theory." Textile Research Journal 89, no. 23-24 (May 24, 2019): 5165–76. http://dx.doi.org/10.1177/0040517519849465.

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In recent years, as consumers have increasingly higher demands for the functionality of clothing, fabrics with additional functionality have been developed. The state of physical functionality experienced by a wearer under a given environmental condition is greatly influenced by the tactile, thermal and moisture transport properties of the fabric. In modern textiles, finishing is generally used to improve the appearance or other properties of fabrics. Sueding is a common finishing method. In order to meet the requirements of functionality in the process of sueding, the production process must be adjusted according to the features of the fabrics. The main method is the setting of processing parameters. This study focuses on the water vapor transmission and thermal transport, which are the main functional characteristics, and uses the fuzzy approach to acquire the combination of sueding processing parameters to optimize multiple functional characteristics. Firstly, for the main processing parameters of the sueding machine, the Taguchi method is used to obtain an orthogonal array for the experimental design. The measured water vapor transmission and thermal transport data of the fabric are used to calculate the signal-to-noise ratio. An analysis of variance is conducted to obtain the significant factors with a greater impact on functional characteristics. The fuzzy approach is used to analyze and obtain the optimal combination of processing parameters of multiple functional characteristics. This optimal combination of processing parameters is used to set the processing parameters. The reliability and reproducibility of the experiment are verified by confirmation experiments.

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Lou, Ching Wen, Chia Chang Lin, Wen Hao Hsing, Chao Chiung Huang, Yen Min Chien, and Jia Horng Lin. "Processing Technique and Property Evaluation of Stab-Resistant Composite Fabrics." Advanced Materials Research 239-242 (May 2011): 683–86. http://dx.doi.org/10.4028/www.scientific.net/amr.239-242.683.

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In this research, the nonwoven fabrics were made of 50 % high-tenacity polyester fiber and 50 % low melting polyester fiber, after which the nonwoven fabrics were thermal-treated at 110 °C, 120 °C, 130 °C, 140 °C and 150 °C for 1 min, 2 min, 3 min, 4 min and 5 min. Next, two layers of nonwoven fabrics were laminated with a layer glass (GF) fiber plain fabric or a layer of Nylon 66 grid, forming the sandwich structure. The nonwoven/ GF composite fabrics and the nonwoven/ Nylon 66 grid composite fabrics were also reinforced by needle-punching and thermal treatment, after which the two composite fabrics were measured with tensile strength and stab-resistant strength. Meanwhile, two layers of nonwoven fabrics needle-punched served as the control group. According to the results, Nylon 66 grid and glass fibers plain fabrics were both good at strengthening, the former reinforced the tensile strength of the composite fabrics and the later heightened the stab-resistant strength of the composite fabrics.

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Abounaim, MD, and Chokri Cherif. "Flat-knitted innovative three-dimensional spacer fabrics: a competitive solution for lightweight composite applications." Textile Research Journal 82, no. 3 (October 25, 2011): 288–98. http://dx.doi.org/10.1177/0040517511426609.

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Flat-knitted spacer fabrics offer a strong potential for complex shape preforms, which could be used to manufacture composites with reduced waste and shorter production times. A reinforced spacer fabric made of individual surface layers and joined with connecting layers shows improved mechanical properties for lightweight applications, such as textile-based sandwich preforms. We report the development of flat-knitted multi-layered innovative three-dimensional (3D) spacer fabrics from hybrid yarns consisting of glass and polypropylene filaments. Moreover, for structural health monitoring of composites, sensor networks could be created into a 3D spacer fabric structure in a single processing step through innovative integration of functional yarns.

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Journal articles on the topic 'Fabric processing'

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