pISSN : 1229-9197 / eISSN : 1875-0052
Fibers and Polymers, the journal of the Korean Fiber Society, provides you with state-of-the-art
research in fibers and polymer science and technology related to developments in the textile
industry. Bridging the gap between fiber science and polymer science, the journal’s topics
include fiber structure and property, dyeing and finishing, textile processing, and apparel science.
Abstracted and indexed in
BFI List
Baidu
CLOCKSS
CNKI
CNPIEC
Chemical Abstracts Service (CAS)
Dimensions
EBSCO Discovery Service
EI Compendex
Google Scholar
INIS Atomindex
INSPEC
Japanese Science and Technology Agency (JST)
Journal Citation Reports/Science Edition
Korea Citation Index (KCI)
Naver
OCLC WorldCat Discovery Service
PaperChem
Portico
ProQuest-ExLibris Primo
ProQuest-ExLibris Summon
SCImago
SCOPUS
Science Citation Index Expanded (SCIE)
Semantic Scholar
TD Net Discovery Service
UGC-CARE List (India)
Wanfang
Latest Publication (Vol. 26, No. 9, Sep. 2025)
Optimizing the Removal of Acid Red 14 Onto Chitosan-Based Electrospun Nanofibers Using Surface Response Technique: Adsorption Kinetic Studies Using Linear and Nonlinear Approaches
Fatemeh Shahverdi Mahmoud Reza Shahverdi
Environmentally friendly chitosan (CS)/polyvinyl alcohol (PVA) mats were produced using electrospinning technology.
The fibers were investigated to see if they worked as Acid Red 14 (AR14) adsorbents. Fourier transform infrared spectroscopy
(FTIR) and scanning electron microscopy (SEM) were used to evaluate the chemical structure and appearance of the
fibers. It successfully modeled and optimized the adsorption process using the Box–Behnken design (BBD). This study
examined the combination of three independent variables: adsorbent dosage (0.005–0.015 g), pH of AR14 solution (2–12),
and initial AR14 concentration (10–100 mg/L) on AR14 removal efficiency (%) in batch systems. The results showed that
the polynomial quadratic model could clearly explain the adsorption process as indicated by the high regression parameters
( R2 value = 0.9695, adjusted R2 value = 0.9302). Furthermore, the proposed model was validated by analysis of variance
(ANOVA). According to the model, the optimum value to achieve 80.99% AR14 removal was estimated as 0.01 g nanofiber,
70 mg/L AR14 concentration, and pH of 2.96. The four distinct pseudo-second-order linear kinetic models were used to assess
the kinetic data. The best-fitting equation was found using error analysis techniques, such as the coefficient of determination
( R2 ) and the chi-square test (χ2). The type 1 pseudo-second-order kinetic model and the pseudo-second-order nonlinear
method were found to be appropriate for estimating the adsorption parameters. The findings of this investigation show that
the synthesized nanofibers are promising and cost-effective adsorbents for the removal of AR14 from aqueous solutions.
Enhancing the Dyeing and Color Fastness Properties of Cotton Fabric Dyed with Curcumin: A Sustainable Double Mordanting Approach Using Waste-Derived Biomordants
Md Morshedur Rahman Sanghyun Yoon Seunga Choi Soohyun Kim Youngdae Kim Ingi Hong Nazrul Hsan Nahyun Oh Santosh Kumar Joonseok Koh
Natural dyes are increasingly favored for their eco-friendly, sustainable, and non-toxic properties. However, their application in textiles is often hindered by limitations such as low color yield and poor fastness, which necessitate the use of mordants. This study investigates the effectiveness of a double mordanting technique to enhance the color strength and fastness of curcumin, a natural yellow dye derived from turmeric, on cotton fabrics. The double mordanting process involved the sequential application of waste-derived biomaterials (pomegranate rind, onion peel, and chitosan) and metallic mordants, followed by dyeing with curcumin. The dyed fabrics were comprehensively evaluated based on color parameters, color strength, levelness, and fastness. Results showed that double mordanting led to a significant improvement in both color strength—up to 69.68% higher—and wash fastness—up to 1.5 grades better—compared to traditional single mordanting. Additionally, the process reduced the residual metal content in the mordant bath by up to 27.00%, promoting a more sustainable dyeing method. Various combinations of biomordants and metal mordants were found to produce fabrics with diverse hues and shades. Notably, the combination of pomegranate rind and iron(II) sulfate yielded a rich, deep black shade on cotton. These findings underscore the potential of using waste-derived biomordants in a double mordanting process as an eco-conscious and effective strategy to enhance the performance of curcumin-dyed cotton while minimizing environmental impact.
Experimental and Statistical Examination of the Use of Acids and Mordants in Wool Dyeing with Cochineal Natural Dye
Siyamak Safapour Tuba Toprak-Cavdur Fatih Cavdur Luqman Jameel Rather Shazia Shaheen Mir Qaiser Farooq Dar
The use of natural dyes in textile dyeing supports sustainable textile production by reducing reliance on synthetic dyes, which are highly detrimental to the environment. Replacing traditional mordants, used to enhance properties like fastness, with eco-friendly alternatives further promotes green production. This study examines the dyeing behavior of wool with cochineal natural dye in the presence of organic and metal mordants. The results were analyzed in terms of colorimetry, fastness, antioxidant, and ultraviolet (UV) protection properties. Variations in color coordinates caused by different mordants were evident in the color shades. Organic acid mordants increased the yellowness and redness of the color, while iron and copper mordants shifted the cochineal tone slightly toward bluish hues, whereas aluminum mordanted samples showed a shift toward yellowish tones. Natural mordants enhanced color strength, particularly when applied after the Fe metal mordant. Comprehensive color fastness assessments demonstrated good washing and light fastness with cochineal-dyed wool using copper–iron/organic mordant combinations. Wool yarns dyed with cochineal exhibited improved antioxidant and UV protection properties, which were further enhanced with mordants. Although natural mordants emerged as viable alternatives to metal mordants, combining them with metal mordants yielded superior results in terms of colorimetry. Additionally, regression analysis was conducted on the experimental results to predict color strength relative to wavelengths for specific mordant combinations. Nonlinear regression models—specifically second-, third-, and fourth-order polynomials—successfully predicted color strengths for given mordant treatments, showcasing the potential of such models to estimate results without conducting experiments. In conclusion, dyeing wool with natural dyes in combination with metal-natural mordants demonstrated promising outcomes.
Lignocellulosic Fiber-Reinforced Sustainable Composite Plates: Structural, Thermal, and Radiation Shielding Properties of Waste-Based Materials
Fehmi Saltan
This work reports on the design, fabrication, and performance evaluation of sustainable composite plates produced from waste wood sawdust (WWS), industrial waste clay (WC), and zinc oxide (ZnO) via a simple hand-pressing technique. Structural analyses by X-ray diffraction (XRD) confirmed successful ZnO incorporation and a dose-dependent increase in composite crystallinity. Surface characterization through SEM revealed that ZnO addition modified surface roughness, with agglomeration becoming noticeable at higher loadings. Thermal stability assessed by thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) demonstrated that composites containing 5, 12.5, and 25% ZnO exhibited, respectively, 12, 24, and 38 °C higher onset degradation temperatures compared to the WWS/WC base plate. Gamma-shielding capabilities were quantified using Am-241 (59.5 keV) and Cs-137 (662 keV) sources in a narrow-beam geometry: the WWS/WC/ZnO 25% sample achieved the highest linear attenuation coefficients (μ = 0.316 cm⁻1 for Am-241; μ = 0.104 cm⁻1 for Cs-137) and corresponding half-value layers (HVL = 2.19 and 6.66 cm). These results exceed those of ZnO-free composites by over 45%. Collectively, our findings demonstrate that ZnO-reinforced, waste-derived composites combine robust thermal performance with effective low‐ and medium‐energy radiation shielding. This dual functionality underscores their potential as lightweight, eco-friendly shielding materials and highlights a viable route for valorizing industrial and biomass wastes into high-value protective products.
Study of Metal-Based Conductive Knitted Fabric Enhanced with Graphene/Iron Oxide Nanoparticles, and Metal-Based Ink
Usman Ahmed Tanveer Hussain Hafiz Shahbaz Ahmad
For cancer patients, shielded fabrics are crucial in protecting against exposure to harmful radiation during certain treatments, such as microwave ablation. Shielding materials are essential for preventing dangerous radiation exposure for cancer patients during specific treatments. By limiting the amount of harmful radiation that can enter the body, these textiles lessen the chance that healthy tissues will be harmed. The knitted fabric was fabricated using a fourteen-gauge flatbed knitting machine, employing 0.03 mm stainless steel wire sheathed in polyester as the primary material. Graphene and iron oxide nanoparticles were synthesized and systematically deposited onto the fabric surface. Additionally, metal-based conductive inks were applied to assess the electromagnetic shielding efficacy of the conductive ink-treated fabrics. A comprehensive analysis of the surface morphology was conducted, confirming the successful deposition of the nanomaterials and conductive ink. The surface resistance measurements revealed distinct variations across the samples. Notably, the electromagnetic interference (EMI) shielding analysis indicated that the fabric treated with graphene and iron oxide nanoparticles exhibited higher shielding effectiveness compared to other treated samples.
Selection of Hydrogen Peroxide-Treated Coir Geotextile for Road Pavement using Grey Relational Analysis
Dinesh Bhatia Kavita Kapil Dev Rishav Sharma
The primary purpose of this study is to select hydrogen peroxide-treated coir geotextiles for the road pavement applications, utilizing the Triangular Fuzzy Analytical Hierarchy Process and Grey Relational Analysis (GRA) methods. 15 different samples of hydrogen peroxide-treated coir geotextiles were prepared by using the Box–Behnken design by varying the concentrations, temperatures, and treatment durations. The triangular fuzzy AHP method was employed to ascertain the weights of different properties by constructing a pairwise matrix based on an absolute number of priority levels for various road pavement characteristics. The various treated geotextiles with hydrogen peroxide were subsequently evaluated to find the optimum rank was done by using Grey Relational Analysis (GRA). The optimum rank was achieved for coir geotextile subjected to treatment at 35 °C for three hours with 20% concentration of hydrogen peroxide. The results of the best selected treated geotextile with hydrogen peroxide show a reduction in permeability and water absorption by 9.27% and 11.86%, respectively, 31.40% enhancement in adhesion, 39.09% higher CBR, 35.24% higher interface friction angle, and 13% and 15.01% higher tensile strength in warp and weft direction, respectively, in comparison to untreated geotextile. FTIR and SEM analyses show that the treated coir geotextiles had noticeable changes on their surface, which improved their mechanical and physical properties.
Enhancement of Mechanical, Physiochemical and Water Resistance Properties of TiO2-Coated Jute Fibers: Effects of Gamma Irradiation, Chemical Treatments and Crystallinity
Md. Monirul Islam Mohammad Asaduzzaman Chowdhury Anik Talukder Nayem Hossain Md. Masud Rana Shuva Chandra Das Minhaz Hossain Md. Rifat Khandaker Md. Ahadul Islam Patwary Ruhul Amin Khan
This study introduces a novel, synergistic surface modification approach combining peracetic acid (PAA) treatment, TiO2 nanoparticle coating, and gamma irradiation to significantly enhance jute fibers' mechanical strength, surface morphology, crystallinity, and water resistance. Integrating these three unique methods enables profound structural alteration and surface functionalization, resulting in a more hydrophobic, durable, and mechanically robust fiber. The strategic sequence of treatments promotes adequate TiO2 adhesion, fiber densification, and improved fiber matrix compatibility. This approach addresses critical limitations in raw jute fiber performance and offers a scalable path forward for bio-based composite development in packaging, textiles, and other industrial applications. Raw jute fibers exhibited low breaking force and high water absorption. TiO2 coating improved these properties, with further enhancements observed upon gamma irradiation at 3 kGy. The most significant improvements were the chemical treatment to remove lignin and hemicellulose (cellulose JF) and per-acetic acid (PAA) treatment, combined with TiO2 coating and gamma irradiation. PAA-treated fibers showed the highest breaking force (492.23 N, a 112% increase compared to raw fibers), tensile strength (169.85% increase), elastic modulus (237.26% increase), and toughness (116% increase). These fibers also exhibited the lowest moisture content (3.86%, a 67.54% reduction), moisture regain (4.01%, a 70.24% reduction), and water absorption (102.26%, a 52.92% reduction), along with the highest water contact angle (86.25°, a 117.51% increase). SEM analysis revealed that PAA treatment resulted in a more compact and uniform fiber structure, promoting better TiO2 adhesion and mitigating some micro-cracking induced by gamma radiation. FTIR spectroscopy confirmed the presence of TiO2 and indicated significant structural changes, especially with PAA treatment. Crystallinity also increased with each treatment step, reaching a maximum of 83.53% for the PAA-treated fibers. These findings demonstrate the synergistic effects of TiO2 coating, gamma irradiation, and chemical treatments in enhancing the properties of jute fibers for high-performance applications.
Complex Patterned Fabric Defects Detector Based on Improved RT-DETR
Zhanpeng Jin Mengyuan Fang
Fabric defect detection is a crucial step in the textile manufacturing pipeline. For fabrics with monotonous patterns and simple backgrounds, existing algorithms can already meet industrial requirements in terms of detection accuracy and real-time performance. However, when it comes to diverse defect types with complex backgrounds, especially those with significant scale variations, current detection methods still fall short. To enhance fabric defect detection performance, this paper proposes an improved model based on RT-DETR, named PEA-MAN-DRFD-DETR (PMD-DETR). First, we design a novel PConv-Efficient Attention Block (PEA-Block) applied to the backbone network, which balances local and global feature space information through partial convolution (PConv) and cross-channel interactive learning. This not only reduces redundant computations within the model but also enhances the feature extraction capability for fabric defects in complex backgrounds. Second, we replace the feature fusion strategy in the Cross-scale Feature Fusion (CCFF) module with a Mixed Aggregation Network (MAN) to optimize multi-scale feature interaction. During feature fusion, we employ the deep robust feature downsampling (DRFD) module instead of traditional convolutional downsampling to better preserve fine-grained defect details in shallow features, thereby improving the representation capability of low-dimensional features. Experimental results show that compared to the original RT-DETR, PMD-DETR improves AP50 by 3.1% and AP50:95 by 1.8% on the Alibaba Cloud Tianchi Fabric Dataset, while reducing parameter count and computational cost by 5%, all while maintaining a high frame rate and meeting real-time performance requirements.
A Comprehensive Experimental and Numerical Analysis on Free Vibration and Axial Buckling Behavior of Hybrid Composites
Muhammet Raci Aydin
In parallel with technological advancements, studies on the hybridization of fiber-reinforced laminate composites have continued to increase. In this study, the effects of axial buckling and free vibration on interply and intraply hybridization are analyzed experimentally and numerically to enhance the stability and dynamic behavior of composite structures. Three different types of fabric were used: aramid (A), glass (G), and aramid/glass (GA) hybrid fabric, all having the same areal density and woven structure. Composite plates with five different configurations, including aramid and glass reference groups, two different interply hybrid composite groups [interply_1 (G/A/A/G) and interply_2 (A/G/G/A)], and one intraply (GA/AG/AG/GA) hybrid composite group, were manufactured by The Vacuum-Assisted Resin Transfer Molding (VARTM) method. Comparative analyses were conducted on natural frequency, damping ratio, axial buckling load, and axial buckling stress by preparing specimens according to the relevant ASTM standard. The results showed that the interply_2 hybrid configuration, which features aramid on the outer surface and glass layers on the inner layers, has a natural frequency value that is 19% higher than those of the other two hybrid structures. In comparison to the glass composites, this hybridization achieved frequency values that were 70% higher. Regarding axial buckling, the interply_2 specimens obtained 26% higher values compared to the interply_1 specimens and 123% higher values compared to glass. The intraply hybrid structures demonstrated superior damping performance compared to other hybrids.
An Experimental and Numerical Study for Ballistic Impact Behavior of Natural Fiber-Based Laminated Sheet Against the Hemispherical Projectile
Deepu Kumar Singh Gaurav Tiwari
In this paper, the ballistic behavior of laminated jute sheets was analyzed against projectile impact through experimentation as well as numerical simulations. The size of the laminated jute sheets was considered to be 150 mm × 150 mm, with varying thicknesses of 3 and 5 mm with different stacking sequences. The laminated jute sheets were impacted by 17 gm hemispherical projectile having 10 mm diameter and 26 mm length. The ballistic tests were conducted within a velocity range of 15 to 47 m/s. For the ballistic impact experiments on the laminated jute sheets, a pneumatic gas gun was used, while numerical simulations were carried out using explicit ANSYS/LS-DYNA. To simulate the damage behaviors of the fiber material, the Chang-Chang damage model was employed. The numerical model was validated against the experimental results in terms of residual velocity, energy absorption, ballistic limit, back face signature, and damage pattern, and the results showed good correlation. Additionally, scanning electron microscope (SEM) testing was conducted to investigate the failure mechanisms, revealing fiber breakage and matrix cracking as the primary failure modes in the laminated jute sheets. Moreover, to compare the performance with other high-strength fibers, a performance and economic work analysis were also included.