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. 27, No. 3, Mar. 2026)
An ANN-Based Prediction Method for Mechanical Properties of Hybrid Reinforced Composites
Jun Ke Rongkun Li Jiaqiang Zhang Zhenyu Wu Zhongping Le Wenqi Lu
The design of conventional three-dimensional (3D) orthogonal woven composites often relies on extensive theoretical computations, time-consuming simulations, or costly experimental testing. These methods involve high expenses and extended development cycles, which pose significant challenges to rapid design processes. This study develops a parametric multi-scale finite element (FE) model along with a corresponding artificial neural network (ANN) surrogate model for predicting the elastic properties of three-dimensional orthogonal woven composites. The FE model systematically investigates the influence of various parameters on elastic constants, demonstrating less than 4% deviation in both tensile and shear moduli compared to mechanical tests. An automated workflow bridging TexGen and Abaqus was employed to generate a dataset of 4655 samples, encompassing variations in microstructural composition, yarn fabrication, preform weaving, and curing conditions. Based on this dataset, an artificial neural network-based surrogate model was trained, achieving a mean absolute percentage error of only 2.34% relative to the full FE simulations, while reducing computational time by a factor of 58,000. This integrated framework provides a robust foundation for the rapid design and optimization of 3D orthogonal woven composites, establishing an efficient pathway for the development of advanced fiber-reinforced materials.
Sustainable Recycling of EDM Wire Waste on Nylon Mesh in Carbon Fiber Composites for a Circular Economy
G. Rajamurugan R. Elayaraja Prabu Krishnasamy Gurtej Singh Sur Amod Paba
This invention presents a new composite material made of waste electrical discharge machining (EDM) wire woven into a nylon mesh, which is then sandwiched between layers of carbon fiber. While recycling industrial waste to promote sustainability, the main goal is to improve mechanical properties including tensile strength, flexural strength, and impact resistance. Incorporating waste EDM wire into the nylon mesh greatly enhances load distribution and bonding strength inside the composite. Combined with epoxy resin and carbon fiber mats, the material has a tensile strength of 310 MPa, flexural strength of 152.94 MPa, and impact resistance of 10.5 Joule. X-ray diffraction (XRD) research demonstrates the presence of both crystalline (from nylon and metallic EDM wire) and amorphous (from carbon fiber) phases, indicating that all components are effectively integrated. FESEM and EDX examination shows a well-bonded microstructure with carbon fibers incorporated in the nylon matrix and trace metallic residues, indicating the composite’s structural integrity and wear resistance. These developments show significant increases over conventional carbon fiber composites, therefore stressing the efficacy of the reinforcement approach. The method also tackles important problems like delamination and low flexural strength usually seen in conventional composites by using waste materials, and the invention not only improves material performance but also helps environmental sustainability by supporting circular economy ideas. Its lightweight and robust character makes it especially appropriate for automotive, aerospace, and building sectors where cutting weight without sacrificing strength is critical by lowering raw material prices, the invention also offers an economically feasible manufacturing technique by means of thorough mechanical testing and validation, and the invention shows great promise for replacing more durable, less sustainable materials in high-performance applications. All things considered. This study makes a significant contribution toward creating high-strength composite materials that are environmentally friendly for advanced industrial applications.
Computational Studies on the Strain Energy and Natural Frequency of a Parabolic Deployable Composite Boom for Space Antenna Structures
S. Balamurali Siva Aswika T. Aharthi N. Naga Thanmai V. M. Sreehari Hariharan Sankara Subramanian Sidharth Tiwary Milind Undale Mariya Ratlami
Composite thin-walled lenticular booms are lightweight, foldable structures and are highly useful in satellite missions. The deployable lenticular booms, characterized by their high strain capacity, have gained significant interest and are increasingly utilized in the spacecraft sector due to their exceptional mechanical properties and folding capabilities. The present study focuses on the effect of geometric parameters for the parabolic deployable composite boom (DCB) featuring a lenticular cross section. A dynamic, nonlinear finite element model was developed using ABAQUS software to analyze strain energy accumulation during coiling and deployment and to perform modal analysis. The different combinations of cross-sectional characteristics, including variation of the height of the parabolic DCB (300–400 mm) and the radii of curvature of lenticular cross section (7–34 mm) were taken for analysis. The natural frequency drops when the height increases with larger radius of curvature for the parabolic DCB. The strain energy reached its maximum value at a radius of curvature of 11 mm, which attained 0.2 kJ at 400 mm height. Consequently, this analysis aids in the selection of the geometric characteristics of the parabolic DCB’s that are suitable for the application.
Honeycomb Structures with Conical Pits and Tetrahedral Confined Spaces: A Comprehensive Study on Mechanical Attributes
Muhammad Umair Adeel Abbas Ahmed Habib Umar Draz Khubab Shaker Yasir Nawab Abdel-Fattah M. Seyam
Different researches have been carried out on honeycomb weaves while focusing on shrinkage, sound absorption, and thermal protection via variation in cell size. However, limited research found about the examination of stretchable honeycomb woven fabrics’ mechanical properties by usage of elastomeric weft yarn. To address this research gap and expand the applications of honeycomb fabrics to apparels and technical textiles, the respective study analyzed the mechanical properties including tensile and tear strength, needle penetration resistance, and stretch and recovery of twelve woven honeycomb samples with three different structures, i.e., single ridge, double ridge, and Brighton weaves accompanying different weft sequences of cotton and T-400 stretch yarns. Characterization data highlighted that single ridge honeycomb weave structure exhibited the highest tensile strength and tear resistance owing to its highest average weave factor of 3.25, followed by Brighton honeycomb tensile and tear strength with 9% and 6% difference, respectively. While double ridge interlacement pattern exhibited the least and comparable tensile strength and needle puncture resistance to Brighton honeycomb structure. However, stretch and recovery test revealed that cotton-based single ridge structure showed the least stretch up to 1.3%, while Brighton structure with elastomeric weft yarn found better with up to 55% recovery.
Thermo-physiological Comfort Assessment of Bi-layer Knitted Structures
C. Hemachalaeswari S. Kubera Sampath Kumar
This study investigates the thermo-physiological comfort behavior of bi-layer knitted fabrics composed of bamboo viscose, micro-polyester, and spun polyester yarns arranged in varied face–back layer configurations. Six bi-layer samples were developed and evaluated for air permeability, water vapor permeability (Ret), thermal conductivity, and thermal resistivity using standard instruments, such as Alambeta and Permetest. The results revealed that fiber composition and layer orientation significantly influence heat and moisture transfer characteristics. Fabrics with bamboo as the outer layer and micro-polyester as the inner layer exhibited optimal comfort performance, demonstrating low thermal conductivity, high thermal resistivity, and excellent moisture vapor permeability. Micro-polyester layers enhanced breathability, while bamboo fibers contributed to insulation and moisture management. The findings highlight the importance of selecting appropriate fiber combinations and structural configurations for designing high-performance sportswear that maintains thermal balance and comfort under varying physiological and environmental conditions.
