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Assessing the accumulated stickiness magnitude from fabric–skin friction: effect of wetness level of various fabrics

机译:评估织物与皮肤之间的摩擦所累积的粘性程度:各种织物的湿度水平的影响

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摘要

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.
机译:皮肤湿度的增加往往会增加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受伤。在这里,幅值估计方法用于评估织物中感知到的粘滞感。通过将7种织物类型放在湿的“皮肤”表面上进行润湿,并干燥不同的时间以达到不同的湿度水平,从而模拟出汗后恢复期间的穿着状况。结果表明,粘性值的估计值与织物中存在的水量之间的关系表现出幂函数。幂回归的指数和常数分别显示了在固定刺激强度下随湿度变化的粘性感觉的增长速度和感知到的粘性。开发了一个新的参数,即累积粘性值(ASM),该参数描述了整个干燥过程中湿润的织物有多少不适感。薄棉织物(织物W01和W03)与湿润的皮肤表面接触后具有较高的饱和度,具有更强的粘着感,并且其ASM显着更高。粘性估计值的差异是由于化学成分和表面几何形状的差异。这项研究为我们提供了一种预测具有不同湿度水平的织物的粘着性的方法,该方法对于运动服,内衣和保健产品等应用很有用。

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