Tang Ka-Po Maggie, Chau Kam-Hong, Kan Chi-Wai, Fan Jin-Tu
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
College of Human Ecology, Cornell University, Ithaca, NY 14853, USA.
R Soc Open Sci. 2018 Aug 22;5(8):180860. doi: 10.1098/rsos.180860. eCollection 2018 Aug.
Increasing skin wetness tends to increase fabric-skin adhesion and friction, resulting in wear discomfort or skin injuries. Here, the magnitude estimation approach was used to assess the stickiness sensation perceived in fabrics. Seven fabric types were wetted by putting onto wet 'skin' surface and dried for different durations to achieve different wetness levels, simulating wearing conditions during the recovery period after sweating. Results showed that the relationship between magnitude estimates of stickiness and amount of water present in fabric demonstrated a power function. The exponents and constant from power regression show the growth rate of stickiness sensation with moisture intensity and the perceived stickiness under fixed stimulus intensity, respectively. A novel parameter, accumulated stickiness magnitude (ASM), describing how much discomfort a wetted fabric offered throughout the drying period, was developed. Thin cotton fabrics (fabric W01 and W03), having higher saturation level after contacting with wetted skin surface, arouse stronger stickiness feeling and their ASM is remarkably higher. The difference in stickiness estimates is due to the difference in chemical composition and surface geometry. This study suggests us the way to predict perceived stickiness in fabrics with different wetness levels which is useful for applications like sportswear, intimate apparel or healthcare products.
皮肤湿度增加往往会增强织物与皮肤之间的附着力和摩擦力，从而导致穿着不适或皮肤损伤。在此，采用量级估计法来评估织物中感知到的粘性感觉。通过将七种织物类型放置在潮湿的“皮肤”表面进行润湿，并干燥不同时长以达到不同的湿度水平，模拟出汗后恢复期的穿着条件。结果表明，粘性的量级估计与织物中含水量之间的关系呈现幂函数。幂回归的指数和常数分别表示粘性感觉随湿度强度的增长率以及在固定刺激强度下感知到的粘性。开发了一个新参数——累积粘性量级（ASM）来描述湿织物在整个干燥过程中带来的不适程度. 薄棉织物（织物W01和W03）在与潮湿皮肤表面接触后具有较高的饱和度，会引起更强的粘性感觉，且其ASM显著更高。粘性估计的差异是由于化学成分和表面几何形状的差异。本研究为我们提供了预测不同湿度水平织物中感知粘性的方法，这对于运动服装、贴身衣物或医疗保健产品等应用很有用。
