Multifunctional nanocoating finishing of polyester/cotton woven fabric by the sol-gel method

2017 ◽  
Vol 88 (8) ◽  
pp. 946-956 ◽  
Author(s):  
Dorota Kowalczyk ◽  
Stefan Brzeziński ◽  
Irena Kamińska

This paper presents the test results of multifunctional thin-coating textile finishing with the use of hybrid Al2O3/SiO2 sol modified with metallic nanoparticles of Ag/Cu powder and TiO2 P25. The modified hybrid Al2O3/SiO2 sol was deposited on polyester/cotton (67/33) woven fabrics by the padding method, followed by drying and thermal heating to obtain a thin and elastic xerogel coating on the fabric fiber surface. The woven fabrics finished in this way were characterized by very good bioactive properties against Staphylococcus aureus and Escherichia coli bacteria and Candida albicans and Aspergillus niger fungi (83–92% reduction in bacteria and 87–93% reduction in fungi) and showed photocatalytic self-cleaning capabilities and a high protection against ultraviolet (UV) radiation. The color difference ( ΔE) obtained after UV irradiation for 112 h was 11.6, and the ultraviolet protection factor (UPF) value considerably exceeded the limiting standard value of 50, while in the case of a reference woven fabric, ΔE = 4 and UPF was about 40. At the same time, the woven fabrics finished were characterized by a high resistance to abrasion.

2018 ◽  
Vol 30 (4) ◽  
pp. 536-547
Author(s):  
Adeela Nasreen ◽  
Muhammad Umair ◽  
Khubab Shaker ◽  
Syed Talha Ali Hamdani ◽  
Yasir Nawab

Purpose The purpose of this paper is to investigate the effect of materials, three dimensional (3D) structure and number of fabric layers on ultraviolet protection factor (UPF), air permeability and thickness of fabrics. Design/methodology/approach Total 24 fabrics samples were developed using two 3D structures and two weft materials. In warp direction cotton (CT) yarn and in weft direction polypropylene (PP) and polyester (PET) were used. Air permeability, thickness and UPF testings were performed and relationship among fabric layers, air permeability, thickness and UPF was developed. Findings UPF and thickness of fabrics increases with number of fabric layers, whereas air permeability decreases with the increase in number of fabric layers. Furthermore, change of multilayer structure from angle interlock to orthogonal interlock having same base weave does not give significant effect on UPF. However, change of material from polyester (PET) to polypropylene (PP) has a dominant effect on UPF. Minimum of three layers of cotton/polyester fabric, without any aid of ultraviolet radiation (UV) resistant coating, are required to achieve good. Cotton/polyester fabrics are more appropriate for outdoor application due to their long-term resistance with sunlight exposure. Originality/value Long-term exposure to UV is detrimental. So, there is need of proper selection of material and fabric to achieve ultraviolet protection. 3D fabrics have yarns in X, Y as well as in Z directions which provide better ultraviolet protection as compared to two dimensional (2D) fabrics. In literature, mostly work was done on ultraviolet protection of 2D fabrics and surface coating of fabrics. There is limited work found on UPF of 3D woven fabrics.


Molecules ◽  
2020 ◽  
Vol 25 (23) ◽  
pp. 5701
Author(s):  
Joanna Olczyk ◽  
Jadwiga Sójka-Ledakowicz ◽  
Anetta Walawska ◽  
Anna Antecka ◽  
Katarzyna Siwińska-Ciesielczyk ◽  
...  

One of the directions of development in the textiles industry is the search for new technologies for producing modern multifunctional products. New solutions are sought to obtain materials that will protect humans against the harmful effects of the environment, including such factors as the activity of microorganisms and UV radiation. Products made of natural cellulose fibers are often used. In the case of this type of material, it is very important to perform appropriate pretreatment before subsequent technological processes. This treatment has the aim of removing impurities from the surface of the fibers, which results in the improvement of sorption properties and adhesion, leading directly to the better penetration of dyes and chemical modifiers into the structure of the materials. In this work, linen fabrics were subjected to a new, innovative treatment being a combination of bio-pretreatment using laccase from Cerrena unicolor and modification with CuO-SiO2 hybrid oxide microparticles by a dip-coating method. To compare the effect of alkaline or enzymatic pretreatment on the microstructure of the linen woven fabrics, SEM analysis was performed. The new textile products obtained after this combined process exhibit very good antimicrobial activity against Candida albicans, significant antibacterial activity against the Gram-negative Escherichia coli and the Gram-positive Staphylococcus aureus, as well as very good UV protection properties (ultraviolet protection factor (UPF) > 40). These innovative materials can be used especially for clothing or outdoor textiles for which resistance to microorganisms is required, as well as to protect people who are exposed to long-term, harmful effects of UV radiation.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Mukesh Kumar Singh ◽  
Annika Singh

Background. The increasing emission of greenhouse gases has evoked the human being to save the ozone layer and minimize the risk of ultraviolet radiation (UVR). Various fabric structures have been explored to achieve desired ultraviolet protection factor (UPF) in various situations. Objective. In this study, the effect of various filament configurations like twisted, flat, intermingled, and textured in multifilament yarns on fabric in different combinations is assessed in order to engineer a fabric of better ultraviolet protection factor (UPF). Methods. In order to engineer a fabric having optimum UV protection with sufficient comfort level in multifilament woven fabrics, four different yarn configurations, intermingled, textured, twisted, and flat, were used to develop twelve different fabric samples. The most UV absorbing and most demanding fibre polyethylene terephthalate (PET) was considered in different filament configuration. Results. The combinations of intermingled warp with flat, intermingled, and textured weft provided excellent UVR protection comparatively at about 22.5 mg/cm2 fabric areal density. The presence of twisted yarn reduced the UV protection due to enhanced openness in fabric structure. Conclusion. The appropriate combination of warp and weft threads of different configuration should be selected judiciously in order to extract maximum UV protection and wear comfort attributes in multifilament woven PET fabrics.


Author(s):  
Marzia Islam ◽  
Tarifun Akter ◽  
Jannatul Ferdush ◽  
Kamrunnahar Kamrunnahar

In thisstudy, the effect of fabric density and different colors (black and red) on ultraviolet protection factor of woven fabric investigated. The fabric of different composition (100% cotton, 60/40 CVC), two color (black, red) and various density (Ends per inch, Picks per inch) collected. Then UPF rating was measured by spectrophotometer in vitro method. Experimental result showed that higher the fabric density and weight; higher the protection from ultraviolet rays. Besides, it also revealed that black fabric has more UV protection ability than the red one. Another finding of this study is that polyester content increases the UPF value.


2020 ◽  
pp. 004051752095740
Author(s):  
Zhang Jianxin ◽  
Zhang Kangping ◽  
Wu Junkai ◽  
Hu Xudong

For multi-color yarn-dyed fabrics which are cross-woven by yarns with different colors, the different colors cannot be directly measured by a traditional spectrophotometer because it can only obtain the average color of solid-color sample in the limited aperture. In this paper, a novel method for color segmentation and extraction for multi-color yarn-woven fabrics based on a Hyperspectral Imaging System (HIS) was proposed. First, the multi-color yarn-woven fabric images were acquired with the HIS. Then a space transformation based on Fréchet distance was used to transform the pre-processed hyperspectral fabric images into gray images, and then an improved watershed algorithm was used to segment the transformed gray images into different color regions. Finally, to solve the problems of over-segmentation with the improved watershed algorithm, an improved k-means clustering algorithm was adopted to merge the over-segmented color regions. The experimental results on four multi-color yarn-woven fabrics showed that the color segmentation accuracy of the proposed method outperformed the ordinary k-means, Fuzzy C-means (FCM), and Density peak cluster (DPC) algorithms on evaluation indexes of compactness (CP) and separation (SP), and the execution efficiency was improved by at least 55%. Furthermore, the color difference between the proposed method and the spectrophotometric measurements ranged from 0.60 to 0.88 CMC (2:1) (Color Measurement Committee) units, which almost satisfied the accuracy of color measurement.


2005 ◽  
Vol 59 (9-10) ◽  
pp. 230-234 ◽  
Author(s):  
Ana Grancaric ◽  
Zeljko Penava ◽  
Anita Tarbuk

Due to the depletion of the ozone layer, shorter but high energy UV-B rays and longer energy UV-A rays causing known skin aging and recently the formation of skin malignant neoplasm are reaching the surface of earth. The paper deals with the influence of different fabric construction on ultraviolet skin protection expressed as the ultraviolet protection factor (UPF). It is well known that clothing provides some protection against damage by ultraviolet radiation, but it highly depends on fabric construction, especially for longer exposure to sun light. Fabric openness or porosity is a key parameter influencing ultraviolet (UV-R) transmission. The effect of fabric density and cover factor using twelve woven fabrics from the same cotton fibres and yarn count, but different in type of weaving and fabric density were investigated. UPF and UV-A and UV-B transmission were measured using a transmission spectrophotometer Gary 50 Solarscreen (Varian) according to the AATCC Test Method 183-2000.


2011 ◽  
Vol 331 ◽  
pp. 322-325
Author(s):  
Ran Wang ◽  
Ying Chen ◽  
Jia Wang ◽  
Yue Yang

Titania nanosols were prepared by a sol-gel method using tetrabutyl titanate (TTB) as precursors. Effects of the content of chelator, water, catalyst, and reaction time on the ultraviolet -resistant property of textile were investigated. An orthogonal experiment was conducted for the optimization preparation. The ultraviolet protection factor (UPF) value of fabrics increased with the enhancement of the TTB content; however, reaction time had limited influence on the UPF. When chelator, water, and catalyst contents were 5.5, 90, and 5.5% (w/w) (in solution B), respectively, the preparation was optimal, and the UPF value of fabric reached 60.


2020 ◽  
Vol 54 (9-10) ◽  
pp. 1001-1013
Author(s):  
CHRISTIAN SCHRAMM ◽  
DORIAN RHOMBERG

The sol-gel process is an excellent process for coating various substrates and thus imparting new functionalities to the treated material. Cotton fabrics were finished with various silicon alkoxides: tetraethoxysilane, (3-triethoxysilylpropyl)succinic acid anhydride, and (3-glycidyloxy)propyltrimethoxysilane in a one-, two-, and three-step process, applying the pad-dry-cure method. The physico-mechanical parameters: dry crease recovery angle, tensile strength, flexural rigidity, air permeability, abrasion resistance, whiteness index (WI), and water vapor permeability of the as-prepared cotton samples were evaluated. In addition, the coated samples were analyzed by means of Fourier transform-infrared/attenuated reflection spectroscopy, thermal gravimetric analysis, and 3D laser confocal microscopy. To study the wettability, selected alkoxysilane-treated specimens were coated with octyltriethoxysilane. The impregnation with titanium tetraisopropoxide significantly increased the ultraviolet protection factor. The findings make evident that the wrinkle resistance could be improved.


2014 ◽  
Vol 9 (3) ◽  
pp. 155892501400900 ◽  
Author(s):  
Piyali Hatua ◽  
Abhijit Majumdar ◽  
Apurba Das

Ultraviolet protection factor (UPF) of woven fabrics is modeled by using two soft computing approaches, namely adaptive network based fuzzy inference system (ANFIS) and artificial neural network (ANN). Three fabric parameters: proportion of polyester in weft yarns, weft count, and pick density are used as input parameters for predicting fabric UPF. Two levels (low and high) of membership function for each of the input parameters are used to reduce the complexity of ANFIS. The eight linguistic fuzzy rules trained by ANFIS are able to explain the relationship between fabric parameters and UPF. A comparison between ANFIS and ANN models is also presented. Both the models predict the UPF of fabrics with very good prediction accuracy in the testing data sets.


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