Wet fabric clinging to human skin brings physical and mental discomfort. In order to characterize the adhesion force sticking the fabric to human skin, a theoretical model is developed by analyzing the configuration of the liquid bridge between a fabric and large volume of liquid beneath. A new testing method is proposed to evaluate the adhesion force of different fabric materials and the testing results show a reasonably good match with the theoretical prediction. The adhesion performance of a fabric depends on its hydrophilicity, deformability, surface morphology, internal structure and surface tension of the liquid, resulting in different radii and heights of the liquid bridge. The theoretical model and the proposed testing method can predict and evaluate the adhesion force of different kinds of fabrics, and may facilitate design and development of fabrics with minimized skin/fabric adhesion in the wet state.
GaggeAPBurtonACBazettHC. A practical system of units for the description of heat exchange of man with his environment. Science1941; 94: 428–430.
2.
CimilliSNergisBUCandanC. A comparative study of some comfort-related properties of socks of different fiber types. Text Res J2010; 80: 948–957.
3.
SampathMBAruputharajASenthilkumarM. Analysis of thermal comfort characteristics of moisture management finished knitted fabrics made from different yarns. J Ind Text2012; 42: 19–33.
4.
SampathMBSenthilkumarMNalankilliG. Effect of filament fineness on comfort characteristics of moisture management finished polyester knitted fabrics. J Ind Text2011; 41: 160–173.
5.
VarshneyRKKothariVKDhamijaS. A study on thermophysiological comfort properties of fabrics in relation to constituent fibre fineness and cross-sectional shapes. J Text Inst2010; 101: 495–505.
6.
StampfliRBrühwilerPARechsteinerI. X-ray tomographic investigation of water distribution in textiles under compression - possibilities for data presentation. Measurement2013; 46: 1212–1219.
7.
RegoJMVerduPNietoJ. Comfort analysis of woven cotton/polyester fabrics modified with a new elastic fiber, Part 2: detailed study of mechanical, thermo-physiological and skin sensorial properties. Text Res J2010; 80: 206–215.
8.
BertauxEDerlerSRossiRM. Textile, physiological, and sensorial parameters in sock comfort. Text Res J2010; 80: 1803–1810.
9.
KaplanSOkurA. A new dynamic sweating hotplate system for steady-state and dynamic thermal comfort measurements. Meas Sci Technol2010; 21: 1–8.
10.
KarFFanJYuW. Comparison of different test methods for the measurement of fabric or garment moisture transfer properties. Meas Sci Technol2007; 18: 2033–2038.
11.
ZhangCWangXQLvYG. A new method for evaluating heat and water vapor transfer properties of porous polymeric materials. Polym Test2010; 29: 553–557.
12.
LaingRMSimsSTWilsonCA. Differences in wearer response to garments for outdoor activity. Ergonomics2008; 51: 492–510.
13.
FanJTTsangHWK. Effect of clothing thermal properties on the thermal comfort sensation during active sports. Text Res J2008; 78: 111–118.
14.
LeeJYNakaoKTochiharaY. Validity of perceived skin wettedness mapping to evaluate heat strain. Eur J Appl Physiol2011; 111: 2581–2591.
15.
JunYParkCHKangTJ. Effect of heat and moisture transfer properties on microclimate and subjective thermal comfort of caps. Text Res J2010; 80: 2195–2203.
16.
Wang FM, Kuklane K, Gao CS, et al. Development and validation of an empirical equation to predict sweating skin surface temperature for thermal manikins. In: textile bioengineering and informatics symposium proceedings, Shanghai, China, 28–30 May 2010, pp.1213–1218.
17.
LiJLiuQXiaLB. Evaluation and prediction for thermal-wet comfort properties of knitting fabrics based on neural network. Adv Mater Res2011; 187: 448–451.
18.
Wang LY and Mao L. Evaluation and prediction of wet comfort performance of knitted fabric underwear using artificial neural network. In: textile bioengineering and informatics symposium proceedings, Shanghai, China, 28–30 May 2010, pp.1335–1341.
19.
ZhuFLLiKJ. Numerical modeling of heat and moisture through wet cotton fabric using the method of chemical thermodynamic law under simulated fire. Fire Technol2011; 47: 801–819.
20.
CimilliSNergisFBUCandanC. Modeling of heat transfer measurement unit for cotton plain knitted fabric using a finite element method. Text Res J2008; 78: 53–59.
21.
GhaliKOthmaniMJreijeB. Simplified heat transport model of a wind-permeable clothed cylinder subject to swinging motion. Text Res J2009; 79: 1043–1055.
22.
DingDTangTSongG. Characterizing the performance of a single-layer fabric system through a heat and mass transfer model - Part II: thermal and evaporative resistances. Text Res J2011; 81: 945–958.
23.
Wang X and Wang FM. Recommendation of a standard wet condition and friction properties between knitted fabric and skin. In: textile bioengineering and informatics symposium proceedings, Beijing, 2011, pp.1164–1170.
24.
WangXWangFM. Tribological testing method between knitted fabric and skin in wet states. Adv Mater Res2011; 291–294: 1450–1453.
25.
WangXZhangQLWangFM. The standard friction test condition between woven fabric and skin in wet states. Tribol Trans2012; 55: 747–751.
26.
NawazNTroynikovOWatsonC. Evaluation of surface characteristics of fabrics suitable for skin layer of firefighters’ protective clothing. Physics Procedia2011; 22: 478–486.
27.
GerhardtLCSträssleVLenzA. Influence of epidermal hydration on the friction of human skin against textiles. J R Soc Interface2008; 5: 1317–1328.
28.
DerlerSRaoABallistreriP. Medical textiles with low friction for decubitus prevention. Tribol Int2012; 46: 208–214.
29.
Yamada W, Watanabe T, Kakimoto M, et al. Reproduction of the behavior of the wet cloths taking the atmospheric pressure into account. In: ACM special interest group on computer graphics and interactive techniques conference, Anaheim, United States, 21–25 July 2013, poster no. 12.
30.
Ke B. Prediction of fabric subjective thermal-wet comfort properties by inputting the objective parameters. In: 2011 international conference on network computing and information security, Guilin, China, 14–15 May 2011, article no. 5948798, pp.81–84.
31.
KeBCongS. Prediction of knitted fabric subjective thermal-wet comfort properties based on BP neural network. Silk2010; 9: 26–29.
32.
JiFQiuYXieJ. A novel testing method of the wet wearing comfortability of fabrics. Adv Mater Res2013; 627: 476–479.
33.
Ji F, Qiu Y, Li R, et al. A novel objective testing equipment and method for quickly evaluating the adhesion properties of wet fabrics. Patent 201210163310.6, CN, 2012.
34.
SunSJiFWangY. Impact of fabric tensile and bending properties on adhesion property under wet condition at low tension. J Text Res2014; 35: 27–31.
35.
Sun S. Measurement and analysis of adhesion property between fabric and skin in wet conditions. Master’s Dissertation, Donghua University, China, 2014.
