Issue 6 / 2025 
Inner covers
Article: Development and characterisation of conductive knitted fabrics as humidity sensors for automatic hemostasis detection
Authors: EMILIA VISILEANU, ALEXANDRA GABRIELA ENE, RAZVAN RADULESCU, FELICIA DONDEA, LAURENTIU DINCA, ADRIAN SALISTEAN
Pages: 739–748
DOI: 10.202539/IT.076.06.202536
Published online: December 2025
Abstract
Conductive knitted fabrics can function as humidity sensors, detecting the presence of liquids on their surface through
changes in electrical resistance. This property can be leveraged for automatic hemostasis systems, where the detection
of blood at a wound site triggers real-time intervention. In this study, conductive yarns including Shieldex (Statex: 60-
440 W/m), AgSiS (Lib-40: 5 W/m), and stainless steel (60 W/m) were integrated into knitted fabrics using a Shima Seiki
machine. The fabrics were characterised for mechanical strength, abrasion resistance (1,000 and 5,000 cycles),
washing durability (1 and 5 cycles), and resistance to acidic and alkaline perspiration. Electrical resistance was
measured under exposure to four aqueous media simulating physiological and wound conditions: deionised water (pH 6,
244 mS/cm), acidic perspiration (pH 5.5, 10.73 mS/cm), alkaline perspiration (pH 8, 11.35 mS/cm), and 20% saline
solution (pH 5.0, 9.5 mS/cm). Morphological and compositional analyses were conducted using SEM, EDX, and FTIR
spectroscopy. The results demonstrated that all fabrics exhibited measurable and repeatable resistance variations, with
the strongest response observed for the 20% saline solution and Lib-40 conductive yarn, highlighting their potential as
humidity sensors for real-time detection of bleeding events in automatic hemostasis systems.
Keywords: conductive textiles, knitted fabrics, humidity sensor, automatic hemostasis system, electrical resistance monitoring, combat garment
Citation: Visileanu, E., Ene, A.G., Radulescu, R., Dondea, F., Dinca, L., Salistean, A., Development and characterisation of conductive knitted fabrics as humidity sensors for automatic hemostasis detection, In: Industria Textila, 2025, 76, 6, 739–748, https://doi.org/10.35530/IT.076.06.202536
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Article: Contemporary interpretation of the elegance of Minoan costume
Authors: ANGELINKA KOSINKOVA-STOEVA, LILIANA INDRIE, VANYA STOYKOVA, ZLATINA KAZLACHEVA, JULIETA ILIEVA, PETYA DINEVA, ZLATIN ZLATEV
Pages 749–761
DOI: 10.35530/IT.076.06.2024179
Published online: December 2025
Abstract
The article addresses a highly relevant topic: the application of artificial intelligence (AI) to the design of Minoan-inspired
clothing by transforming fashion illustrations into photorealistic visualisations of physical, wearable garments. Advanced
AI systems have been used to develop innovative and practical fashion design solutions that capture the timeless
elegance of Minoan costumes while giving them contemporary flair. The study includes an application-based analysis
of five affordable AI systems that can transform fashion drawings into photorealistic images. A comparative analysis
highlights the observed differences in colours and shapes between the original fashion drawings and the AI-generated
models. The effectiveness of these AI systems was validated through a survey and principal component analysis. The
results obtained have practical implications in areas such as fashion design, custom clothing production, sustainable
fashion, marketing and the training of professionals in this field.
Keywords: ancient Greek clothing, Minoan costume, AI tools, fashion design, principal component analysis
Citation: Kosinkova-Stoeva, A., Indrie, L., Stoykova, V., Kazlacheva, Z.,
Ilieva, J., Dineva, P., Zlatev, Z., Contemporary interpretation of the elegance of Minoan costume, In: Industria Textila, 2025, 76, 6, 749–761,
https://doi.org/10.35530/IT.076.06.2024179
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Article: Quantification and evaluation of chemical footprint with four methods: A case of the dyeing and printing process of a polyester dress
Authors: JI XIANG, GUO ZHAOXIA, GUO YIQI, WANG LAILI
Pages 762–769
DOI: 10.35530/IT.076.06.2024122
Published online: December 2025
Abstract
The textile printing and dyeing industry, with huge chemical demand, has a negative impact on the ecosystem. Chemical
footprint quantifies the toxic impacts of chemical pollutants by assessing their behaviour in the environment. In this
paper, four methods were used to calculate and evaluate the chemical footprint of a polyester dress printing and dyeing
process. The chemical footprint of the printing and dyeing process of a polyester dress, calculated with USEtox,
Assessment of Mean Impact, Score System, and Strategy Tool, was 1585.51 PAF×m3×day, 14089.04 l, 331, and 75,
respectively. Scouring, colouring, pretreatment, and printing were identified as the major procedures contributing, with
the antifoaming agents and the chelating disperse agents as the major auxiliaries contributing. The results of the
Strategy Tool are limited in their representativeness of environmental load. Compared to other methods, AMI ensures
that the evaluation results are scientific while maintaining user-friendliness.
Keywords: chemical footprint, polyester, printing and dyeing, toxic effects, environmental impact
Citation: Xiang, J., Zhaoxia, G., Yiqi, G., Laili, W., Quantification and evaluation of chemical footprint with four methods: A case of the dyeing and printing process of a polyester dress, In: Industria Textila, 2025, 76, 6, 762–769, https://doi.org/10.35530/IT.076.06.2024122
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Article: A dynamic capability perspective on the influencing factors of supply chain resilience in Chinese small and medium-sized green textile enterprises
Authors: CHEN TONG, LING LIN, WANMAN GAO
Pages 770–786
DOI: 10.35530/IT.076.06.202513
Published online: December 2025
Abstract
With the increasingly intensified market competition, Chinese small and medium-sized green textile enterprises
(SMGTEs) are now facing more supply chain challenges, such as sharp demand fluctuations, rising costs and even
supply chain disruptions. As one of the most important abilities to deal with uncertainty and risk, supply chain resilience
is of great significance for the survival and development of Chinese SMGTEs. Therefore, this study first constructed a
theoretical framework of the influencing factors of supply chain resilience from a dynamic capability perspective for
Chinese SMGTEs based on in-depth interviews. The measurement model was then designed, followed by a
questionnaire survey and factor analysis. This study also used statistical models to empirically verify the effect of
dynamic capability factors on supply chain resilience for Chinese SMGTEs. The research results will provide practical
guidance for Chinese SMGTEs to sustainably improve their supply chain resilience and market competitiveness.
Keywords: dynamic capability, supply chain resilience, Chinese enterprises, small and medium-sized enterprises, green textile industry
Citation: Tong, C., Lin, L., Gao, W., A dynamic capability perspective on the influencing factors of supply chain resilience in Chinese small and medium-sized green textile enterprises, In: Industria Textila, 2025, 76, 6, 770–786, https://doi.org/10.35530/IT.076.06.202513
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Article: Weaving techniques and pathology of the historical textiles at the Moghadam Museum from Iran
Authors: REZA MAJIDINAJAFABADI, HAMID R. TAGHIYARI, DORINA CAMELIA ILIES, LILIANA INDRIE, MARIANA RATIU, ANA CORNELIA PERES
Pages 787–793
DOI: 10.35530/IT.076.06.202518
Published online: December 2025
Abstract
Textiles at the Moghadam Museum (Tehran, Iran) are considered a valuable heritage collection that has a historical
legacy of more than 2,200 years. They comprise a variety of weaving and stitching techniques, textures, materials,
patterns and designs, and they are from a wide range of national and ethnic people who lived in the Persian plateau
during the above-mentioned two millennia. The valuable collection was gathered by its founders, Dr. Mohsen Moghadam
and his wife, Mrs. Selma Kiyoomjian. They utilised different sustainable preservation techniques and restoration
methods, based on the historical value, size, and material of the textiles. After their demise, facilities limitations and poor
maintenance gave way to the occurrence of irreparable damage to the collection. High fluctuations of the environmental
conditions, in humidity and temperature, accompanied by low ventilation, resulted in the growth of fungi and the attack
of insects on some of the textiles. Exposure to light also paled the colours in some of the textiles. In terms of weaving
technique, three textile types are discussed in the present research study, including mixed-weaving technique (the
Parthian Empire, 247 BC till 224 AD), Ghalamkaar textiles and textiles with metal-threads (both during the Safavid
dynasty, 1501 AD till 1722 AD).
Keywords: cultural heritage, historical textiles, environmental conditions, insects, Moghadam Museum
Citation: Majidinajafabadi, R., Taghiyari, H.R., Ilieș, D.C., Indrie, L., Ratiu, M., Peres, A.C., Weaving techniques and pathology of the historical textiles at the Moghadam Museum from Iran, In: Industria Textila, 2025, 76, 6, 787–793, https://doi.org/10.35530/IT.076.06.202518
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Article: Comparative research about the moisture management and thermal properties of some knitted fabrics produced from different blended yarns spun on ring, mechanical compact and Siro spinning
Authors: GIZEM KARAKAN GÜNAYDIN, IREM ÇELİK, ERHAN KENAN ÇEVEN, HÜSEYIN GAZI TÜRKSOY
Pages 794–809
DOI: 10.35530/IT.076.06.202537
Published online: December 2025
Abstract
The yarn spinning method and the utilised raw material play a significant role in determining the comfort properties of
fabrics. Spinning methods, such as conventional ring, mechanical compact, and Siro spinning, influence the yarn’s
structure, uniformity, and surface characteristics, which in turn affect fabric properties like moisture management and
thermal comfort. This study explores the moisture management and thermal comfort properties of knitted fabrics
produced from different blended yarns spun on three distinct spinning techniques: Conventional ring, mechanical
compact, and Siro spinning. For analysing how different spinning methods and yarn types influence some comfort
properties, Moisture Management Test (MMT), Alambeta Tests and air permeability tests were performed in the context
of this research. For the statistical analyses, a Two-way ANOVA test was performed in order to investigate the effect of
yarn spinning method and yarn type on moisture management, thermal comfort and air permeability properties of knitted
samples. The findings revealed that spinning methods and fibre blends significantly impact the properties of the fabric.
The research aims to provide insights into the relationship between yarn structure and fabric behaviour, offering valuable
guidance for textile development and innovation.
Keywords: yarn spinning, mechanical compact spinning, Siro spinning, moisture management, thermal properties, air permeability
Citation: Günaydin, G.K., Çelik, I., Çeven, E.K., Türksoy, H.G., Comparative research about the moisture management and thermal properties of some knitted fabrics produced from different blended yarns spun on ring, mechanical compact and Siro spinning, In: Industria Textila, 2025, 76, 6, 794–809, https://doi.org/10.35530/IT.076.06.202537
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Article: Relationship between green human resource management practices & environmental sustainability by green innovation
Authors: MUHAMMAD WAQAS NAZIR, SHEN ZUNHUAN, LIAQUAT ALI RAHOO
Pages 810–823
DOI: 10.35530/IT.076.06.202490
Published online: December 2025
Abstract
Protecting natural resources for future generations has become an important concern in the debates among
policymakers and institutions. Sindh is the third largest province by geography and the second most urbanised province,
located in the southeast of Pakistan. This study aims to empirically analyse the role of green human resource
management practices on environmental sustainability in higher educational institutions in Sindh, Pakistan, particularly
those offering degrees and responsible for research in textile engineering and fashion design. Further, we explore
whether green innovation as a potential mediator stimulates the relationship between green human resource
management and environmental sustainability. We employed a quantitative research technique and retrieved data from
376 respondents who are employees of higher education institutions. This study for analysis used SPSS 26 and partial
least squares based on structural equation modelling (SEM). Our outcomes suggested that green human resource
management promotes environmental sustainability. Notably, green recruitment and selection (0.384) exerts the
strongest influence on environmental sustainability, followed by green training and development (0.341), green
compensation and reward (0.232) lastly green performance management (0.184) also contribute positively to
environmental sustainability. All relationships observed in the study were statistically significant (p<0.05). The current
study finds that green innovation partially mediates the relationships between all constructs and plays a crucial role in
enhancing environmental sustainability. This study provides insightful recommendations for educational institutions
currently operating in Pakistan and other emerging economies to achieve sustainability objectives. It also promotes
eco-friendly practices and raises awareness among stakeholders, contributing to the achievement of environmental
sustainability.
Keywords: environmental sustainability, green HRM, green innovation, textile and fashion design, higher educational institutions, Pakistan
Citation: Nazir, M.W., Zunhuan, S., Rahoo, L.A., Relationship between green human resource management practices & environmental sustainability by green innovation, In: Industria Textila, 2025, 76, 6, 810–823, https://doi.org/10.35530/IT.076.06.202490
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Article: On-demand fashion: wardrobe management and trading community
Authors: MA LING, GUO ZIYI, LI TAO, LIU ZHENG, ZOU FENGYUAN
Pages 824–832
DOI: 10.35530/IT.076.06.2024176
Published online: December 2025
Abstract
The concept of on-demand fashion has been around for some time. Still, its implementation remains challenging due to
fast-paced consumer habits that prioritise quick acquisition over thoughtful decision-making. Intelligent wardrobe
management and second-hand fashion exchange have emerged to maximise the use of existing clothing and promote
more conscious and sustainable consumption behaviours. This study first provides an in-depth analysis of relevant
research and the current state of the industry, summarising the technological pain points in existing wardrobe
management systems and second-hand trading platforms, as well as the negative user experiences that impact user
engagement. It then addresses typical issues faced by consumers in managing their wardrobes and collects 512 valid
feedback responses. Finally, based on consumer feedback and a review of the current situation, this study proposes the
construction of an on-demand fashion community that integrates both wardrobe management and second-hand trading.
The platform consists of four main modules: My Wardrobe, Outfit, Community, and Profile, with a particular focus on the
interactive scenarios of the innovative Outfit and Community modules. The platform proposed in this study is expected
to promote more sustainable and conscious fashion consumption.
Keywords: fashion on demand, fashion community, smart wardrobe, second-hand, sustainability
Citation: Ling, M., Ziyi, G., Tao, L., Zheng, L., Fengyuan, Z., On-demand fashion: wardrobe management and trading community, In: Industria Textila, 2025, 76, 6, 824–832, https://doi.org/10.35530/IT.076.06.2024176
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Article: A study on branding strategies (green innovation and international marketing) and their impact on purchase decision involvement of customers in the textile industry, with disposable income as a moderating factor
Authors: R. YASHWANTH, N. RAMKUMAR, J. JOSHUA SELVAKUMAR
Pages 833–841
DOI: 10.35530/IT.076.06.202521
Published online: December 2025
Abstract
Branding strategies and customer involvement have become central to Indian businesses as sustainability gains
prominence across both offline and online businesses. Due to rising environmental concerns, companies are focusing
on sustainable practices, energy-efficient solutions, and eco-friendly products to meet consumer demands and
regulatory standards. Purchasing the products based on green innovative marketing strategies has attracted people
from various nations, too. However, purchasing decisions vary from one individual to another based on the driving
factors like persona, psychological, economic, payment mode, social, quality, trust, cost, reputation, reviews and offers.
In this research, the association between branding strategies as an independent factor using green innovation and
international marketing strategies against the dependent factor, customer involvement in the textile industry, is
examined. The moderating factor ‘disposable income’ is adopted here, which gives this research its uniqueness,
significance and novelty. The research adopts SEM analysis for examining the variables and the Hayes Process for
moderating factor analysis. The targets are people who are interested in fashion clothing. The sample size used is
n=589. The findings showed that there exists an association between green innovation in marketing (GIM) and purchase
decision involvement (PDI) and international marketing (IM) and PDI. Similarly, the moderating factor, disposable income
(DI), moderates the association between GIM and PDI; whereas it doesn’t moderate the IM and PDI. Thus, the research
concluded that the disposable income as a moderating factor certainly impacts the purchase decision of the customers
and international marketing strategies in the fashion clothing in textile industry.
Keywords: disposable income, green innovation, branding, branding strategies, international marketing, and purchase decision
Citation: Yashwanth, R., Ramkumar, N., Joshua Selvakumar, J., A study on branding strategies (green innovation and international marketing) and their impact on purchase decision involvement of customers in the textile industry, with disposable income as a moderating factor, In: Industria Textila, 2025, 76, 6, 833–841, https://doi.org/10.35530/IT.076.06.202521
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Article: Unveiling aesthetic preferences: a Kansai engineering approach to rapport formats in home textiles
Authors: UZUNER NIHAN, CEYLAN ÖZGÜR
Pages 842–851
DOI: 10.35530/IT.076.06.2024170
Published online: December 2025
Abstract
Rapport formats, a fundamental element of textile design, significantly influence the aesthetic appeal of patterned
fabrics. Despite their importance in shaping visual perception, limited research has systematically investigated the
impact of different rapport formats on user preferences. This study addresses this gap by exploring the aesthetic
preferences for various rapport formats applied to floral and geometric patterns in home textiles, employing a Kansei
Engineering approach to understand and quantify user perceptions. The research investigates the impact of five
commonly used rapport formats -straight, half-drop, diagonal half-drop, mirror, and turned- on both floral and geometric
patterns. A survey of 115 participants, comprising textile industry professionals and design academics, was conducted
to evaluate the designs. Participants rated the patterns on a semantic differential scale, assessing their emotional and
aesthetic responses. Descriptive statistics and exploratory factor analysis were employed to analyse the collected data,
revealing patterns and relationships between rapport formats and perceived aesthetic qualities. The findings indicate
that straight and mirror rapports consistently emerged as the most preferred formats across both floral and geometric
designs. This preference stemmed from their visual balance, simplicity, and modern appeal, suggesting a desire for
order and clarity in textile patterns. In contrast, more complex rapports, such as turned and diagonal half-drop, while
perceived as visually intriguing, lacked the same level of order and clarity favoured by participants. These findings
provide textile designers with evidence-based guidance for selecting rapport formats that enhance the aesthetic appeal
and user acceptance of their designs, ultimately contributing to more user-centred and appealing textile products.
Keywords: textile pattern design, rapport formats, home textiles, aesthetic evaluation, Kansei engineering
Citation: Nihan, U., Özgür, C., Unveiling aesthetic preferences: a Kansai engineering approach to rapport formats in home textiles, In: Industria Textila, 2025, 76, 6, 842–851, https://doi.org/10.35530/IT.076.06.2024170
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Article: Perceptual evaluation of female trench coat design based on Quantitative Theory I
Authors: HONGRU CHANG, YUE HU, YAN DONG
Pages 852–860
DOI: 10.35530/IT.076.06.2024143
Published online: December 2025
Abstract
In the process of apparel design, understanding consumers’ emotional demand is crucial to creating satisfactory
garment styles. To solve the problem of the mismatch between consumers’ personalised needs and the design of trench
coat styles. This paper focuses on women’s trench coats and proposes a style design research method that combines
Quantification Theory I and Kansei Engineering. Initially, it employs the Semantic Difference Analysis Method to extract
consumers’ emotional evaluations of trench coat samples. Using SPSS software, it analyses the emotional ratings and
identifies key emotional factors, constructing a two-dimensional emotional distribution map for trench coat styles.
Simultaneously, it analyses style characteristics to extract the main design elements. Building on this, it integrates
Quantification Theory I and performs linear regression, predicting relationships between emotional factors and design
elements and establishing a mathematical model. This model exhibits a high degree of fit between measured and
predicted values and adheres to normal distribution requirements, demonstrating its effectiveness. Ultimately, the study
validates the mathematical model through real consumer design cases, further confirming that it can effectively translate
consumers’ emotional needs into trench coat design elements, thus providing significant insights and references for
women’s trench coat style design.
Keywords: Quantitative Theory I, trench coat, Kansei Engineering, design element, factor, perceptual words
Citation: Chang, H., Hu, Y., Dong, Y., Perceptual evaluation of female trench coat design based on Quantitative Theory I, In: Industria Textila, 2025, 76, 6, 852–860, https://doi.org/10.35530/IT.076.06.2024143
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Article: The effect of fabric parameters on the evaporative cooling heat flow kinetics
Authors: SOFIEN BENLTOUFA, HIND ALGAMDY
Pages 861–867
DOI: 10.35530/IT.076.06.202519
Published online: December 2025
Abstract
This study explored how fabric parameters and walking speed affect the dynamics of evaporative cooling. Walking
speed is equivalent to 1 m/s, while running speed is 2 m/s. Knitting fabrics made from natural and synthetic fibres were
used to examine how hydrophilic and hydrophobic properties influence evaporation. Visualising the evaporative cooling
heat flow kinetics allowed us to identify different evaporation stages. We defined new parameters: Qmax, Qmin, Qeq, Flow
drop (Qmax – Qmin), and equilibrium time. Qmax represents the thermal absorptivity of water vapour at the very first
moment of contact between the fabric and the skin. Qmin signifies the decrease in the cooling flow. Teq denotes the
equilibrium time. These parameters describe the dynamics of water vapour transfer.
The results showed that incorporating synthetic fibres into a fabric enhances its breathability, lowers the temperature,
accelerates drying, and provides a refreshing sensation when first touched by the skin. It was found that Coolmax is
twice as cool as wool.
Keywords: walking speed, evaporation, cooling, dynamic heat flow
Citation: Benltoufa, S., Algamdy, H., The effect of fabric parameters on the evaporative cooling heat flow kinetics, In: Industria Textila, 2025, 76, 6, 861–867, https://doi.org/10.35530/IT.076.06.202519
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Article: Optimisation of combed yarn properties based on yarn number and machine jaw range using artificial neural networks
Author: BEKIR YITIK
Pages 868–875
DOI: 10.35530/IT.076.06.20257
Published online: December 2025
Abstract
The need for natural clothing is increasing day by day. To meet this demand, the apparel industry is developing new
systems to enhance production and raw material usage. Using healthy products is essential for a healthy life, which
increases the need for natural raw materials. Cotton is the ideal natural raw material for a renewable and sustainable
production line. Despite the growing production, it cannot fully meet the demand. Therefore, new systems are being
developed to improve the quality of cotton production. The foundation of the textile industry is yarn, and yarn production
lines consist of systematically operated machines. These production systems include carded, combed, and open-end
methods. In combed production, high-quality and long fibres are used to produce yarns with counts such as Ne 30 or
Ne 50. In combed yarn production, fibre length and ratio can be adjusted through machine settings. Lap feeding cylinder
gaps in combed yarn machines are critical for this adjustment. In this study, experimental results were obtained using
4 different yarn counts produced from the same blend and 5 different combed feeding jaw settings. These results were
optimised using artificial neural networks. In the analysis, yarn count and combing cylinder gap were used as input data,
while the physical properties of the yarn were used as output data.
Keywords: combed yarn, natural raw materials, fibre length, artificial neural network, optimisation
Citation: Yitik, B., Optimisation of combed yarn properties based on yarn number and machine jaw range using artificial neural networks, In: Industria Textila, 2025, 76, 6, 868–875, https://doi.org/10.35530/IT.076.06.20257
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Article: AI-enabled robotic sorting for circular textile waste management: A scalable solution for India’s recycling sector
Authors: MITHUN S ULLAL, VIRGIL POPESCU, RAMONA BIRAU, COSTEL MARIAN IONASCU, GENU ALEXANDRU CARUNTU, DUMITRU DOREL D. CHIRITESCU, STEFAN MARGARITESCU
Pages 876–882
DOI: 10.35530/IT.076.06.202593
Published online: December 2025
Abstract
The global textile industry faces a critical inflexion point as circular economy mandates intensify and waste volumes soar
beyond 100 million tonnes annually. Central to realising circularity is the efficiency and fidelity of textile waste sorting, a
longstanding bottleneck dominated by manual, low-throughput, and error-prone methods. This paper investigates the
deployment of an AI-enabled robotic sorting system integrating hyperspectral imaging (HSI) and deep learning
algorithms within the context of India’s fragmented textile recycling ecosystem. We demonstrate that spectral imaging
combined with convolutional neural networks (CNNs) achieves over 95% classification accuracy across heterogeneous,
post-consumer Indian textile waste streams, including multi-fibre blends that typically confound manual sorters. Drawing
from industrial benchmarks such as Sweden’s SipTex and U.S.-based Refiberd, we design a prototype that integrates
conveyor automation, real-time classification, and robotic actuation. Comparative analysis reveals that the AI system
achieves throughput rates exceeding 1,000 garments per hour, representing a 20× gain over manual processes while
reducing misclassification rates by more than 60%. A techno-economic model suggests payback periods under four
years when scaled to medium-sized facilities, with significant reductions in labour dependency and waste-to-landfill
ratios.
Our findings have strong implications for policy and industry: AI sorting systems not only align with India’s National
Textile Policy and MITRA initiatives but also represent an enabling infrastructure for chemical recycling, extended
producer responsibility, and traceable material flows. By bridging technological innovation with operational scalability,
this study advances the industrial feasibility of circular textiles in the Global South.
Keywords: AI sorting, hyperspectral imaging, textile recycling, circular economy, robotic automation, India
Citation: Ullal, M.S., Popescu, V., Birau, R., Ionașcu, C.M., Căruntu, G.A., Chirițescu, D.D.D., Mărgăritescu, Ș., AI-enabled robotic sorting for circular textile waste management: A scalable solution for India’s recycling sector, In: Industria Textila, 2025, 76, 6, 876–882, https://doi.org/10.35530/IT.076.06.202593
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Article: Investigation of sound and thermal properties of basalt, aramid and carbon reinforcement layered composites
Authors: ÇİĞDEM SARPKAYA, EMEL CEYHUN SABIR
Pages 883–890
DOI: 10.35530/IT.076.06.202522
Published online: December 2025
Abstract
Especially for the construction and transportation sectors, layered composites are important in terms of heat and sound
insulation, energy saving and cost reduction. This study aims to investigate the heat and sound insulation properties of
textile-reinforced, layered designed hybrid composite materials. In the study, textile reinforcement is fabric, and
high-performance fabrics such as basalt fabric, aramid and carbon are the main components of the layered design. The
matrix component is epoxy. The hybrid composite manufacturing method is the combined use of hand lay-up and
vacuum infusion methods. The layers are 3 and 2 layers, and a total of 6 samples were produced according to the test
plan. In thermal insulation, the lowest heat transfer coefficient and in sound insulation, the highest sound transfer loss
are taken into account. At the end of the study, the lowest heat transfer coefficient was obtained as 0.0341 W/mK in the
Aramid/Basalt composite sample and 16 dB for sound transmission loss in the Carbon/Aramid/Basalt composite sample.
In cases where insulation is not desired in heat conduction, the best composite plate is the Carbon/Aramid/Basalt hybrid
composite, which has the highest heat conduction value, with a value of 0.0514 W/mK.
Keywords: sound and thermal properties, basalt, aramid, carbon, hybrid composites
Citation: Sarpkaya, Ç., Sabir, E.C., Investigation of sound and thermal properties of basalt, aramid and carbon reinforcement layered composites, In: Industria Textila, 2025, 76, 6, 883–890, https://doi.org/10.35530/IT.076.06.202522
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