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.
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Latest Publication (Vol. 25, No. 11, Nov. 2024)
Evaluation Method for the Wet Comfort of Hygroscopic Cooling Fabrics
Peihua Zhang Juan Qian Yang Yang Peihua Zhang Yang Zhang
Several effective methods to precisely evaluate the comfort of hygroscopic cooling fabrics transitioning from a wet to dry state were previously lacking. This study employed the heated plate method to mimic bare skin. We integrated a refitted YG606 II Thermal Resistance Tester with a heating control unit to simulate the human body’s thermoregulation following light activity at a basal metabolic rate. This apparatus recorded the heating curves of hygroscopic cooling fabrics in their wet state to monitor temperature variations during drying. We introduced five objective evaluation parameters (Area, FWHM, K1, K2, WCI) based on the temperature differences between the heated plate and wetted fabric samples to differentiate levels of wet comfort among various fabrics. Twelve types of hygroscopic cooling fabrics, varying in material, structure, and hygroscopic properties, were selected from the market to assess the reliability of these parameters. The findings confirmed that these parameters effectively discern variations in wet comfort across the fabric samples. The parameters for cooling capacity (Area) and cooling rate (K1, K2) are critical in evaluating the role of liquid water in fabric on wet comfort, while cooling duration assesses the impact of the fabric’s drying process on human comfort. Furthermore, the wet comfort index (WCI) correlated significantly with perceptions of dampness and coldness; a higher WCI value indicated a sharp, transient discomfort due to dampness and coldness, whereas a lower value suggested a mild, sustained sensation of wetness and coldness. The preference for these contrasting sensations varies by context. This research could facilitate the development of predictive models for wet comfort by evaluating the cooling capacity and wet comfort index of textiles in their wet state, thereby aiding fabric researchers and manufacturers in enhancing the thermal–wet comfort of hygroscopic cooling fabrics.
Modeling the Static Puncture (CBR) Properties of Non-woven Geotextiles Based on Neural Network and Multi-optimization
Mohammad Ahmadi Morteza Vadood Mohammad Saleh Ahmadi Hasan Mashroteh Mohammad Javad Abghary Zahra Hajhosaini
The optimization of geotextile mechanical properties is crucial for enhancing their performance in civil engineering applications such as soil reinforcement and stabilization. This study focuses on the influence of manufacturing parameters on the static puncture (CBR) properties of polyester geotextiles. Polyester geotextile samples were manufactured using various parameters, including needle-punching density, penetration depth, calendering temperature, and speed. The mechanical properties of the samples, specifically strength and elongation, were evaluated using the CBR test according to EN ISO 12236. The data were analyzed using multivariate analysis of variance, followed by statistical analysis to determine the influence of the manufacturing parameters on the mechanical properties. Furthermore, the relationship between these parameters and the mechanical properties was modeled using artificial neural networks (ANN) and regression analysis. The results indicated that all manufacturing parameters significantly impacted the strength and elongation of the geotextiles. The ANN models, employing two hidden layers, predicted the strength and elongation with errors of 1.43% and 1.26%, respectively.