Issue 6 / 2023

Inner covers

Article: Adsorption of AR114 onto humic acid-modified Fe3O4 nanoparticles

Authors: GÜL KAYKIOĞLU, DERMAN VATANSEVER BAYRAMOL, AYLIN YILDIZ
Pages: 625–632
DOI: 10.20233/IT.074.06.20233
Published online: December 2023

Abstract
In this study, Fe3O4 and humic acid-modified Fe3O4 (Fe3O4@HA) magnetic nanoparticles were synthesized and used for the removal of Acid Red 114 (AR114) dyestuff from aqueous. The batch adsorption method was used for the experiments. The magnetic nanoparticles, synthesised by an inexpensive and environmentally friendly precipitation process, were characterised by FTIR, SEM-EDX, BET surface area, and XRD analyses. The optimum pH values determined for Fe3O4 and Fe3O4@HA were the original pH (6.4) and 4, respectively. The equilibrium state was reached after 60 minutes for both adsorbents. The values for Fe3O4 and Fe3O4@HA were determined as 3.4 mg/g and 3.1 mg/g, respectively, when 10 mg/l initial dyestuff concentration and 2 g adsorbent were used. The results obtained in the adsorption experiments performed for both adsorbents were compatible with the Freundlich isotherm and pseudosecond- order kinetic model. Fe3O4 was found to be more efficient than Fe3O4@HA in terms of reuse and Fe3O4 can be used 5 times without any significant loss of adsorption capacity. The results showed that Fe3O4 and Fe3O4@HA can be environmentally friendly alternative adsorbents for the removal of hazardous azo dyestuffs from water, and have regeneration possibilities.
Keywords: Acid Red 114, adsorption, colour removal, Fe3O4, humic acid, magnetic nanoparticle

Citation: Kaykioğlu, G., Bayramol, D.V., Yildiz, Y., Adsorption of AR114 onto humic acid-modified Fe3O4 nanoparticles, In: Industria Textila, 2023, 74, 6, 625–632,  http://doi.org/10.35530/IT.074.06.20233

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Article: An intelligent garment recommendation system based on case-based reasoning technology

Authors: JUNJIE ZHANG, XIANYI ZENG, MIN DONG, HUA YUAN, YUN ZHANG
Pages 633–639 
DOI: 10.35530/IT.074.06.202331
Published online: December 2023

Abstract
Garment purchasing through the Internet has become an important trend for consumers. However, various garment e-shopping systems, systematically lack personalized recommendations, like sales advisors in classical shops, to propose the most relevant products to different consumers according to their consumer profiles and successful recommendation cases. In this paper, we propose a consumer-oriented recommendation system by Case-based reasoning techniques and Similarity degree of fuzzy sets, which can be used in a garment online shopping system like a virtual sales advisor. This system has been developed by integrating successful recommendation cases and taking into account consumer profiles. It can effectively help consumers to choose garments from the Internet. Compared with other prediction methods, the proposed method is more robust and interpretable owing to its capacity to treat uncertainty. This paper presents an original method for predicting one or several relevant product profiles from the similarity degree between a specific consumer profile and a successful cases database.
Keywords: recommendation system, case-based reasoning, successful cases database, similarity degree

Citation: Zhang, J., Zeng, X., Dong, M., Yuan, H., Zhang, Y., An intelligent garment recommendation system based on case-based reasoning technology, In: Industria Textila, 2023, 74, 6, 633–639,  http://doi.org/10.35530/IT.074.06.202331

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Article: Research on thermal comfort and moisture management properties of drapery fabrics produced with polyester yarns having different fibre cross-sectional shapes and TiO2 amount

Authors: SİNEM YELKOVAN, ERHAN KENAN ÇEVEN, GİZEM KARAKAN GÜNAYDIN, LAURA CHIRILĂ
Pages 640–652 
DOI: 10.35530/IT.074.06.202327
Published online: December 2023

Abstract
This study aims to provide an investigation regarding the effect of fibre cross-sectional shape, incorporated TiO2 amount (%) during polyester yarn production, and the weft density parameters respectively, on thermal comfort, moisture management, water vapour permeability, and air permeability properties of polyester drapery fabrics. Completely randomized three-factor analysis of variance (ANOVA) was conducted at the significance level of 0.05. SNK tests were also performed to observe the means of each parameter. Some of the weft yarn production parameters and the weft density (picks/cm) factors were found as significant factors in some thermal comfort and moisture management, water vapour, and air permeability properties of drapery samples.
Keywords: fibre cross-sectional shape, drapery fabrics, thermal comfort properties, MMT, water vapour permeability, air permeability

Citation: Yelkovan, S., Çeven, E.K., Günaydin, G.K., Chirilă, L., Research on thermal comfort and moisture management properties of drapery fabrics produced with polyester yarns having different fibre cross-sectional shapes and TiO2 amount, In: Industria Textila, 2023, 74, 6, 640–652,  http://doi.org/10.35530/IT.074.06.202327


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Article: Colour prediction as a weaving design selection help tool in Jacquard CAD

Authors: WAFA MILED, HIND ALGAMDY, SOFIEN BENLTOUFA, MUHAMMAD KHAN
Pages 653–659 
DOI: 10.35530/IT.074.06.202322
Published online: December 2023

Abstract
The final colour prediction of a weave design made of dyed yarns is a difficult problem. This study shows how a geometric model can be developed to obtain the final colour prediction objectively. For this purpose, a woven material was divided into weft, warp and pores. Then, all parameters needed for the calculation of each colour contribution were identified. A geometrical model based on construction parameters was developed to predict the surface colour contribution of each coloured yarn in a weave surface. To validate the predicted colorimetric data, a visual assessment experiment was conducted. Then, the difference between the predicted and actual colour appearance of the weave pattern was evaluated and analysed in function of weaving structures, and weft yarns colours. For this purpose, simple woven structures (plain, twill 1/3, basket 2/2 and satin Turc) with four coloured weft yarns were used. Results show that the proposed model could correctly predict the final colour of weave designs. Therefore, the model has the potential to eliminate subjective evaluations and reduce prototype sample production by automating the process of weave/colour simulation, thereby reducing the cost and time for product development. The methods of utilization of colour in woven textiles depend upon the composition of the weave design to be woven and the structure parameters of the cloth.
Keywords: weave design, colour prediction, Jacquard CAD, dyed yarns

Citation: Miled, W., Algamdy, H., Benltoufa, S., Khan, M., Colour prediction as a weaving design selection help tool in Jacquard CAD, In: Industria Textila, 2023, 74, 6, 653–659,  http://doi.org/10.35530/IT.074.06.202322

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Article: An online blockchain based sustainable logistics management system (OBSLMS) enabled by the Internet of Things for the textile industry

Authors: I. BHUVANESHWARRI, V. ILANGO
Pages 660–666 
DOI: 10.35530/IT.074.06.202364
Published online: December 2023

Abstract
Blockchain technology and IoT have been beneficial for information sharing, supply-chain management, product tracking and device control in multiple fields. Now, their combined potential has become an emerging concept, one that can be implemented in the textile industry. In most cases, textile industries are the backbone of the economy of a country. The major textile fibres are cotton, jute, wool, silk, bamboo, linen, etc. In theory, the fibre producers’ profit and their products’ market price may vary depending on the fibre’s demand, aggregate supply and the current market structure. But, in real-life textile markets, intermediaries between the producers and buyers lead to significant decreases in the producers’ profit. This results in the producer incurring losses and not being able to get back their initial investments as revenue. This research paper aims to provide a solution to the above-stated critical issue. In this paper, we have proposed an Online Blockchain-based Sustainable Logistics Management System (OBSLMS) for textile businesses. The implementation mechanism of the OBSLMS consists of blockchain based business transactions, an IoT based GPS tracking system and a unique QR (Quick Response) code verification for the endpoint delivery of textile fibres from producers to buyers. This sustainable solution also has a bidding feature. Moreover, OBSLMS has been programmed, implemented and tested. The OBSLMS uses the availability and efficiency of the openly available online platform, blockchain technology and IoT to help both the textile fibre producers and the buyers gain a fair profit.
Keywords: bidding, blockchain, business transaction, online platform, tracking, verification

Citation: Bhuvaneshwarri, I., Ilango, V., An online blockchain based sustainable logistics management system (OBSLMS) enabled by the Internet of Things for the textile industry, In: Industria Textila, 2023, 74, 6, 660–666,  http://doi.org/10.35530/IT.074.06.202364

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Article: Investigating the effects of Information and Communication Technology (ICT) on capital market uncertainty by considering its impact on the textile industry: a case study for Iran

Authors: POURIA ROSTAMI CHERI, REZVAN POURMANSOURI, ELHAM MASTERI FARAHANI, RAMONA BIRAU, CRISTI SPULBAR, ANCA IOANA IACOB (TROTO)
Pages 667–687 
DOI: 10.35530/IT.074.06.2022136
Published online: December 2023

Abstract
Information and Communication Technology (ICT) plays a vital role in sharing information and greater participation in exchanges and trading of investors' shares. Because the use of information and communication technology in financial markets reduces marketing costs, it has a significant role. Therefore, the primary purpose of this research article is to investigate the impact of ICT on capital market uncertainty in Iran. In this study, the GARCH model has been used to estimate the capital market uncertainty index. The results of ARDL model estimation using quarterly data in the period 2011: 1 to 2020: 4 in the short and long term showed the effect of the ratio of online transactions to the total volume of transactions as an ICT indicator on capital market uncertainty in the short term. Long-term are different. In the short run, increasing the ratio of online transactions to the total volume of transactions has increased capital market uncertainty. It has reduced capital market uncertainty in the long run. Other model results showed that inflation, economic growth, and exchange rate significantly affect the performance uncertainty of the total stock exchange index as an indicator of capital market uncertainty. And it takes about 7.5 seasons on average to completely offset the imbalance in capital market uncertainty.
Keywords: financial time-series, Information and Communication Technology (ICT), computational financial mathematics, capital market Uncertainty, asset pricing models, vector autoregression model with distributed intervals (ARDL), ICT indicator, online trading system, developing countries, stock exchange index

Citation: Cheri, P.R., Pourmansouri, R., Farahani, E.M., Birau, R., Spulbar, C., Iacob (Troto), A.I., Investigating the effects of Information and Communication Technology (ICT) on capital market uncertainty by considering its impact on the textile industry: a case study for Iran, In: Industria Textila, 2023, 74, 6, 667–687,  http://doi.org/10.35530/IT.074.06.2022136

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Article: In-situ synthesis of magnetite nanoparticles on cotton fabrics – structural and magnetic properties

Authors: SHEILA SHAHIDI, MANSOUREH ZIAEE, ANA KHAJEHNEZHAD, SEYED MOHAMMAD ELAHI, RATTANAPHOL MONGKHOLRATTANASIT
Pages 688–696 
DOI: 10.35530/IT.074.06.2022129
Published online: December 2023

Abstract
In this research, the magnetic fabric was fabricated using in situ synthesizing of Iron oxide nanoparticles. To have cotton fabrics covered by magnetic nanoparticles, prepared Iron Oxide nanoparticles were deposited on it using an in situ method with 3 different concentrations of precursors while other factors such as pH, temperature, NaOH concentration, reaction container volume, and the chemical reaction time remained constant. FeCl3 and FeSO4·7H2O were used as precursors. The results confirmed that magnetite nanoparticles with cubic structure, spherical shape and uniform distribution were deposited on the surface of cotton fabrics. The vibrating sample magnetometer (VSM) results revealed that the cotton fabric was covered by superparamagnetic magnetite nanoparticles.
Keywords: magnetic fabrics, magnetic nanoparticles, cotton, textile, synthesise, metal nanoparticles

Citation: Shahidi, S., Ziaee, M., Khajehnezhad, A., Elahi, S.M., Mongkholrattanasit, R., In-situ synthesis of magnetite nanoparticles on cotton fabrics – structural and magnetic properties, In: Industria Textila, 2023, 74, 6, 688–696,  http://doi.org/10.35530/IT.074.06.2022129

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Article: Water sustainability of sub-Saharan African cotton industry: evidence from Mali

Authors: DIADIE SACKO, HUA CHENG
Pages 697–705 
DOI: 10.35530/IT.074.06.2022112
Published online: December 2023

Abstract
The world's cotton industry plays a significant role in the global economy, with cotton being used in around 50% of all clothing, household items, and other products. However, the production of cotton is also known to have a significant impact on the environment, particularly freshwater resources. Sub-Saharan Africa is particularly vulnerable, with 40% of the world's water-deprived people living in the region. Cotton is a vital cash crop in sub-Saharan Africa, serving as the main source of livelihood for over 2 million rural families, but its production is also water-intensive, requiring around 20,000 litters of water per kg of cotton yield. In addition, cotton farming in the region is largely dependent on rain, but countries are looking to expand their production and acreage through increased irrigation, putting further pressure on already stretched water resources. This essay investigates the sustainability of sub-Saharan Africa's cotton industry, using Mali as a case study. The region can increase its output significantly, but this must be done sustainably to avoid exacerbating the negative impact on freshwater resources. The study also discusses the water crisis in sub-Saharan Africa, cotton farming in Mali and the region, and the potential consequences of increased cotton production on families and the environment. Mali, currently the highest cotton producer on the continent is a convenient case study reflecting conditions in other sub-Saharan countries. By studying the scientific literature on the progression of cotton production and attendant problems in Mali and some other West African countries, I hope to inform policymakers in the region about some proven ways to improve cotton yield and processing while leaving water resources pristine. The plan centres on producing cotton in an eco-friendly manner through the adoption of organic cotton, and GM cotton and irrigation in suitable areas. At the same time, there is a need to reduce the grey water footprint by reducing chemical usage and treating effluents before discharge.
Keywords: water footprint, sustainability, organic cotton, grey water, blue water, green water, millennium sustainable development goals

Citation: Sacko, D., Cheng, H., Water sustainability of sub-Saharan African cotton industry: evidence from Mali, In: Industria Textila, 2023, 74, 6, 697–705,  http://doi.org/10.35530/IT.074.06.2022112

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Article: The effect of dyeing tubes’ structure on the colour difference of yarns

Author: ŞİMŞEK GÜNDÜZ GONCA
Pages 706–712 
DOI: 10.35530/IT.074.06.202354
Published online: December 2023

Abstract
In the study, the effect of the structure of the dyeing tubes used in bobbin dyeing on the colour difference of the yarns was investigated. For this purpose, dyeing was done using 5 dyeing tubes with different dye permeability. Yarn samples were taken from the inner, middle and outer winding layers of the dyed bobbins. The colour difference of the yarns was measured with a spectrophotometer. It was observed that as the dye permeability of the dyeing tubes increased, the colour difference decreased and a more homogeneous dyeing was obtained. When the bobbins were evaluated in terms of diameter, it was seen that the colour difference was at least in the middle diameter. As the dye permeability increased, the colour distribution along the bobbin diameter became more homogeneous. In addition, it was determined that the colour difference decreased in fine yarn and high winding density.
Keywords: bobbin dyeing, dyeing tubes, useful surface coefficient, winding density, colour difference value (ΔE)

Citation: Gonca, Ş.G., The effect of dyeing tubes’ structure on the colour difference of yarns, In: Industria Textila, 2023, 74, 6, 706–712,   http://doi.org/10.35530/IT.074.06.202354

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Article: Examining the dependence of textile company performance on macroeconomic variables

Authors: JAIN AKSHATHRAJ, CARINA-ELENA STEGĂROIU, VALENTIN STEGĂROIU, SHETTY PRATIK NARENDRA, KEPULAJE ABHAYA KUMAR
Pages 713–717 
DOI: 10.35530/IT.074.06.2022141
Published online: December 2023

Abstract
The textile sector in India has good fundamentals and has become an interesting sector for equity investors. The performance of textile companies in India is volatile in the market for various reasons. This study aims to examine the dependence of Indian textile company performance on macroeconomic variables. Based on the market capitalisation, the top 10 textile companies were selected as samples for the study, the annual net profit ratio, return on asset ratio, operating ratio and the earning per share data of selected companies were collected from 31st March 2004 to 31st March 2021. For the same period, the Inflation, Crude oil price, GDP of the service sector, GDP of the manufacturing sector and the GDP of the agricultural sector in India were gathered. The results of multivariate regression analysis revealed that the changes in Inflation, GDP from agriculture and GDP from the service sector are affecting the performance of textile companies in India.
Keywords: textile companies, performance, economic indicators, multiple regression model, EPS, operating profit, return on asset, net profit

Citation: Akshathraj, J., Stegăroiu, C.-E., Stegăroiu, V., Narendra, S.P., Kumar, K.A., Examining the dependence of textile company performance on macroeconomic variables, In: Industria Textila, 2023, 74, 6, 713–717,  http://doi.org/10.35530/IT.074.06.2022141

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Article: Designers’ potential in sustainable fashion: a systematic literature review

Authors: WANG YIYAN, NORSAADAH ZAKARIA
Pages 718–726 
DOI: 10.35530/IT.074.06.2022139
Published online: December 2023

Abstract
Given the unsustainable issues of environmental pollution, resource waste, and industrial cycle blockage, the garment industry, has sought an innovation for sustainable development led by the linear economy. The circular economy (CE) advocates closing and correcting material and energy circuits, minimising resource entry and waste, and improving emissions and energy consumption. Most practices under the existing CE model address the outcome rather than comprehending the source. As one of the most critical players in the apparel industry, designers understand the source of product development. In this paper, existing sustainable design practices (SDPs) in the transition of the apparel industry to CE were summarised through a systematic literature review. The extent of designers’ involvement in CE was explored through a correlation study and data analysis between SDPs and the processes of product development (PDP) and production process (PP). Furthermore, the designers’ potential to contribute sustainably to the CE transformation within the apparel industry was discussed via qualitative analysis. The findings demonstrated infrequent involvement in PP by designers, whose voices were limited in the apparel industry, and that the possibility of more designer involvement in SDP. Therefore, this research only focused on the sustainability potential of designer-led PDPs. Lastly, the potential and limitations of applying PDP three-dimensional visualisation as a designer-led SDP were presented.
Keywords: designer, circular economy, sustainability, sustainable design practice, product development process

Citation: Yiyan, W., Zakaria, N., Designers’ potential in sustainable fashion: a systematic literature review, In: Industria Textila, 2023, 74, 6, 718–726,  http://doi.org/10.35530/IT.074.06.2022139

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Article: Inclusion complexes of β-cyclodextrıne with Fe3O4@HA@Ag
Part II: Their use in the production of PVP nanowebs

Authors: RIZA ATAV, AHMET ÖZGÜR AĞIRGAN, AYLIN YILDIZ, DERMAN VATANSEVER BAYRAMOL, UĞUR ERGÜNAY
Pages 727–732 
DOI: 10.35530/IT.074.06.2022140
Published online: December 2023

Abstract
Humic acid is a material formed as a result of the degradation of animal and plant wastes, it cleans heavy metals which are industrial wastes that threaten both the environment and human health. In part I of this study, the Fe3O4@HA@Ag compound was synthesized, its inclusion complex with β-cyclodextrin was prepared by using the kneading technique and obtained inclusion complexes were characterized. In this study, part II, nanowebs were formed from the inclusion of complex-containing polymer solution via the electrospinning method. The electrospinning solution consisted of β-CD:Fe3O4@HA@Ag inclusion complexes at the rate of 5%, 7.5% and 10% by weight and the polyvinylpyrrolidone (PVP) polymer as the carrier. The obtained nanoweb material was characterized by instrumental methods such as SEM, FTIR, XRD, and TGA. The results obtained from FTIR, XRD and TGA revealed that β-CD:Fe3O4@HA@Ag inclusion complexes containing nanowebs were successfully produced. The uniform fibre formation was detected from SEM images. The average fibre diameter of 5%, 7.5% and 10% β-CD:Fe3O4@HA@Ag inclusion complex containing nanowebs were measured to be 612.5 nm, 610.8 nm and 431.2 nm, respectively.
Keywords: β-cyclodextrin, Fe3O4@HA@Ag, inclusion complex, electrospinning, nanoweb

Citation: Atav, R., Ağirgan, A.Ö., Yildiz, A., Bayramol, D.V., Ergünay, U., Inclusion complexes of β-cyclodextrıne with Fe3O4@HA@Ag. Part II: Their use in the production of PVP nanowebs, In: Industria Textila, 2023, 74, 6, 727–732,  http://doi.org/10.35530/IT.074.06.2022140

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Article: An investigation of firm performance via electronic ability-motivation-opportunity enhancing practices towards Saudi Arabian garment sector employees

Authors: AWWAD SAAD ALSHAMMARI, FRAIH FALAH ALHAMDHAWI, SAQIB MUNEER
Pages 733–740 
DOI: 10.35530/IT.074.06.2022143
Published online: December 2023

Abstract
This study aims to explore ability-motivation-opportunity (AMO) practices to enhance sustainable HRM in the electronic environment. The authors further investigated whether sustainable e-HRM (SEHRM) may improve firm performance. Data was collected from the employees of the Saudi Arabian garment sector. Collected data was analyzed by applying structure equation modelling (SEM) by using smart-PLS. Results indicate that three dimensions of e-HRM positively and significantly impact firm performance. Results further suggest that SEHRM substantially mediates the relationship between e-HRM practices and firm performance. To establish SEHRM systems, an emphasis must be placed on e-HRM practices that improve employees' abilities and motivation. Once employees comprehend the importance of EHRM, they will be attracted towards this system routinely for activities such as goal planning and performance evaluation. Creating SEHRM helps improve the functions of the business. This study will help business professionals to adapt EHRM to improve the firm performance.
Keywords: electronic HRM, ability enhancing, opportunity enhancing, motivation enhancing, firm performance, garments sector

Citation: Alshammari, A.S., Alhamdhawi, F.F., Muneer, S., An investigation of firm performance via electronic ability-motivation-opportunity enhancing practices towards Saudi Arabian garment sector employees, In: Industria Textila, 2023, 74, 6, 733–740,  http://doi.org/10.35530/IT.074.06.2022143

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Article: Comparative Investment decisions in emerging textile and FinTech industries in India using GARCH models with high-frequency data

Authors: BHARAT KUMAR MEHER, G.L. PUNTAMBEKAR, RAMONA BIRAU, IQBAL THONSE HAWALDAR, CRISTI SPULBAR, MIRCEA LAURENTIU SIMION
Pages 741–752 
DOI: 10.35530/IT.074.06.202311
Published online: December 2023

Abstract
The domestic textiles and apparel industry stood at $152 billion in 2021, growing at a CAGR of 12% to reach $225 billion by 2025. The textiles and apparel industry in India has strengths across the entire value chain from fibre, yarn, and fabric to apparel. On the other hand, many FinTech companies gained enough importance and attention during the Demonetization and COVID-19 pandemic situation where most people are dependent and prefer cashless payments and receipts over hard cash payments and receipts. Due to the growth of FinTech companies in India, consumer lending FinTech companies in India make up 17% of total FinTech enterprises. Many angel investors are coming forward to invest in such FinTech companies as this industry has much potential to grow in future. As there is enough scope for the expansion of FinTech companies in India, retail investors come forward to invest in the stocks of listed FinTech companies. As retail investors always look forward to returns either in the form of dividends or appreciation of stock prices, it is also necessary to analyse and model the stock price volatility of FinTech companies in India before investing. Hence, this research study is an attempt to use high-frequency data i.e. 1-minute closing prices, to formulate suitable GARCH (Generalised Autoregressive Conditional Heteroscedasticity) models for stock price volatility of listed textiles and FinTech companies that could also capture the asymmetric volatility if it exists due to third phase of COVID-19 pandemic and Russia-Ukraine war. The results concluded that there is a presence of positive shocks which might be due to the third wave of the COVID-19 pandemic that might have again shot the demand for financial products and services of these FinTech companies namely Paytm and PolicyBazaar and there is no negative shock of Russia-Ukraine war.
Keywords: textile industry of India, FinTech companies, asymmetric volatility, high-frequency data, Indian Stock Market, GARCH models

Citation: Meher, B.K., Puntambekar, G.L., Birau, R., Hawaldar, I.T., Spulbar, C., Simion, M.L., Comparative Investment decisions in emerging textile and FinTech industries in India using GARCH models with high-frequency data, In: Industria Textila, 2023, 74, 6, 741–752,  http://doi.org/10.35530/IT.074.06.202311

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Article: Evaluation of the comfort properties of functional knitted fabrics for people with special needs

Authors: DOINA TOMA, ALINA POPESCU, CLAUDIA NICULESCU, ADRIAN SALISTEAN, CRISTINA LITE, MINELA NENECIU, SARA WECHSLER, IONUT DANIEL ION, MIRELA GRETI PUIU, CRINA RAICAN
Pages 753–759 
DOI: 10.35530/IT.074.06.2022153
Published online: December 2023

Abstract
In this study, several comfort properties of knitted fabrics were investigated. Seven types of knitted fabrics made of combinations of natural fibres (e.g., cotton, wool, and bamboo), artificial fibres (e.g., modal) and synthetic fibres (e.g., polyester and acrylic) were produced. The knitted samples were subjected to several comfort tests, including air permeability, thermal resistance and water vapour resistance assessments. To determine the correlations among the comfort properties of the fabric, fabric structural properties, such as fabric weight and fabric thickness, were considered. Moreover, statistically significant differences were found in terms of dry thermal resistance, water vapour resistance and air permeability depending on the structural parameters of the fabric.
Keywords: knitted fabrics, thermal comfort, air permeability, water vapour resistance, thermal resistance

Citation: Toma, D., Popescu, A., Niculescu, C., Salistean, A., Lite, C., Neneciu, M., Wechsler, S., Ion, I.D., Puiu, M.G., Raican, C., Evaluation of the comfort properties of functional knitted fabrics for people with special needs, In: Industria Textila, 2023, 74, 6, 753–759,  http://doi.org/10.35530/IT.074.06.2022153

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