关键词: 织物水分传递, 多向水分传递, 润湿半径, 红外图像, 水分扩散

Abstract: "This study presents a novel method for measuring the multidirectional dynamic moisture transfer property of fabrics using computer image processing technology, with the aim of enhancing the accuracy and efficiency of fabric moisture transfer testing. We employed an infrared thermal imager to record the dynamic process of moisture diffusion in fabrics and developed an automatic measurement system. This system is capable of determining the wetted area of the fabric at any given time and the wetted radius in any direction, thereby providing data on fabric moisture transfer. The experiment utilized the horizontal drip method and tested a total of 20 different types of fabrics. The system automatically extracted data on the wetting area from infrared images at various time intervals. Additionally, the system could measure the wetting radius in 360° directions, thus enabling a comprehensive understanding of the fabric's moisture transfer behavior in different directions. The study analyzed the changes in the wetting radius at different time points and directions (0°, 45°, and 90°). The results revealed significant differences in moisture transfer at these angles for certain fabrics, indicating uneven moisture transfer characteristics that could impact the design of directionally moisture-transporting fabrics. Based on the shape of moisture wetting, this paper categorized fabric wetting into three types: O, C, and X shapes, and analyzed the relationships between these three types of wetting patterns and fabric parameters. To analyze the differences in the wetted radius in various directions during the fabric wetting process, one-way ANOVA was conducted on the wetted radius values at 0° (weft direction), 45° (diagonal direction), and 90° (warp direction) at various times during moisture transfer. The results indicated that for most fabrics in this study, there were significant differences in moisture transfer in the three directions. This paper utilized Simpson's integration method to calculate the wetted area of fabrics based on the wetting radius. By converting pixel-based measurements into actual wetted areas, the system calculated the wetted area over time, thereby accurately representing the moisture distribution. The error between the system's automated measurements and manual calculations was consistently under 4%, demonstrating the high precision and reliability of the system. In conclusion, this study developed a stable, accurate, and efficient measurement system for the dynamic moisture transfer performance of fabrics. By combining infrared thermal imaging with computer image processing, the system is capable of measuring and calculating the wetted area at any given time and the wetting radius in any direction, demonstrating high accuracy. The method proposed in this paper provides an effective testing approach for the development and performance evaluation of fabrics and garments with efficient moisture management capabilities."

Key words: fabric moisture transfer, multidirectional moisture transfer, wetting radius, infrared image, moisture diffusion