Instrumental Evaluation of Stickiness of Textiles Under Wet Skin Surface

Tang, Ka-Po Maggie; Chau, Kam-Hong; Kan, Chi Wai; Fan, Jintu

doi:10.1109/access.2018.2829151

Cited by 12 publications

(7 citation statements)

References 41 publications

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“…9.7 mg cm 22 ); reference stimulus ¼ 0.8 g (i.e. 5.6 mg cm 22 )) was sprayed onto the plastic card (12 Â 12 cm). Subsequently, each sample was put onto the wetted plastic card and pressed at 2.5 g cm 22 rsos.royalsocietypublishing.org R. Soc.…”

Section: Apparatus and Experimental Protocolmentioning

confidence: 99%

“…Tang et al . [ 23 ] found that there is interaction effect between fibre type and moisture content of the fabric on stickiness property, implying that fabrics having good performance in dry state might not perform well in moist condition. Indeed, the chemical composition of the fibres governs the amount and speed of water absorption and so affects the adhesion between the two surfaces [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…Or else, wear trials [15,19] or in vivo experiments [4,20,21] were performed. So far, researchers have mainly focused on the tactile properties of fabrics in dry condition [3,12,22]. Tang et al [23] found that there is interaction effect between fibre type and moisture content of the fabric on stickiness property, implying that fabrics having good performance in dry state might not perform well in moist condition.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Apparatus and Experimental Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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“…The shirt gives a wet sensation to the wearer for an extended period of time before it turns dry. In addition to wet perception, water at skin -fabric interface will increase friction or adhesion at the interface [16][17][18][19]. When there is prolonged contact between skin and wetted fabric, skin injuries can be induced [20,21].…”

Section: Introductionmentioning

confidence: 99%

Subjective wet perception assessment of fabrics with different drying time

Chau¹,

Tang²,

Kan³

2018

R. Soc. open sci.

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Wet perception involves a complex neurobiological mechanism and it is a crucial factor affecting the wear comfort in daily life. A subjective wet perception assessment was conducted against wetted fabrics. The assessment method was set to demonstrate the sensation felt by the wearer in recovery period after light activities, and assumes that there is no further sweat secretion. Twenty participants participated in the assessment. Participants were presented with fabrics dried with different duration for simulating garments dry during recovery period. A new fabric driver was built to simulate body movements during wear. The driver drove specimens and reference fabrics on participants' forearms. The two-arm configuration of the fabric driver helps to enhance the reliability of assessment results. The participants were asked to give wetness rating on each sample in ratio scale. We conclude that log10 of subjective wetness rating has linear relationship with drying time of fabric (DToF) and amount of water in fabric. A novel wetness factor (WF) is developed to quantify the effects of wet perception and exposure time induced by a drying fabric. WF is the area under curve of wetness rating against DToF. A smaller WF indicates that a user suffers less from wet sensation.

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“…The Fabric Touch Tester (FTT) was developed by SDL Atlas, measuring the physical properties to characterize softness, smoothness and warmth as tactile properties. 16 Other simple instruments for measuring human perception 17,18 only focus on the study of friction. 19,20 Zahouani et al 21 developed a tribo-acoustical probe with a microphone-equipped artificial finger, which compared the acoustical level to assess the relative smoothness of surfaces to give the signature of softness.…”

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confidence: 99%

Measuring and multilevel fuzzy comprehensive predicting comfort parameters of soft materials by a new handle evaluation system

Sun

Shao

Zheng

et al. 2020

Textile Research Journal

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In this paper, a multilevel fuzzy comprehensive evaluation (FCE) model consisting of tactile comfort and four primary handle characteristics (FPHCs) is developed. The physiological perceptions of 30 home textile fabrics were predicted, to verify the practicability of the FCE model and the reliability of the objective measurement based on the self-developed Quick-Intelligent Handle Evaluation System (QIHES). Moreover, comparisons between the FCE model and subjective evaluation of the FPHCs and total handle value (THV) were investigated. The results showed that the values of the coefficients of determination ( R2) and the slopes of linear correlation functions were approximate to 1, which revealed that the results of the FCE model and subjective evaluation were highly consistent, and the FCE model established was accurate. In addition, the performance of the soft fabrics depends on the combined effect of the properties of three directions. It has been confirmed that the fullness, stiffness and roughness are important factors that affect THV together. Thus, the FCE method based on the QIHES measurement was demonstrated to be effective and reliable, could be applied for assessing tactile comfort and estimating human feel when touching textiles and soft materials.

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Instrumental Evaluation of Stickiness of Textiles Under Wet Skin Surface

Cited by 12 publications

References 41 publications

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

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

Subjective wet perception assessment of fabrics with different drying time

Measuring and multilevel fuzzy comprehensive predicting comfort parameters of soft materials by a new handle evaluation system

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