clothing comfort
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Polymers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 140
Author(s):  
Karel Adámek ◽  
Antonin Havelka ◽  
Zdenek Kůs ◽  
Adnan Mazari

In the field of textile comfort of smart textiles, the breathability of the material is very important. That includes the flow of air, water and water vapours through the textile material. All these experiments are time consuming and costly; only air permeability is much faster and economical. The research is performed to find correlation between these phenomena of breathability and to predict the permeability based on only the air permeability measurement. Furthermore, it introduces a new way of expressing the Ret (water vapour resistance) unit according to SI standards as it is connected with the air permeability of garments. The need to find a correlation between air permeability and water vapour permeability is emphasised in order to facilitate the assessment of clothing comfort. The results show that there is a strong relation between air permeability and water vapour permeability for most of the textile material.


Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1318
Author(s):  
Ching-I Lai ◽  
Chang-Franw Lee ◽  
Fu-Jin Wei

In response to global aging, there have been improvements in healthcare, exercise therapy, health promotion, and other areas. There is a gradually increasing demand for such equipment for health purposes. The main purpose of smart clothing is to monitor the physical health status of the user and analyze the changes in physiological signals of the heart. Therefore, this study aimed to examine the factors that affect the measurement of the heart’s physiological parameters and the users’ comfort while wearing smart clothing as well as to validate the data obtained from smart clothing. This study examined the subjective feelings of users (aged 20–60 years) regarding smart clothing comfort (within 12 h); the median values were comfortable and above (3.4–4.5). The clothing was combined with elastic conductive fiber and spandex to decrease the relative movement of the fiber that acts as a sensor and increase the user’s comfort. Future studies should focus on the optimization of the data obtained using smart clothing. In addition to its use in medical care and post-reconstructive surgery, smart clothing can be used for home care of older adults and infants.


2021 ◽  
Vol 72 (04) ◽  
pp. 361-367
Author(s):  
MARIJA PEŠIĆ ◽  
VASILIJE PETROVIĆ ◽  
NENAD ĆIRKOVIĆ ◽  
JOVANA STEPANOVIĆ

Clothing comfort is very important feature which is considered as a result of different process of heat exchange between human body, clothing and environment. The purpose of this paper is to analyse the impact of clothing insulation on the heat transfer. The measurements were carried out on commercially 1x1 RIB knitted fabrics used for the production of next-to-skin shirts. The one group of samples are made from 100% cotton yarn and another with 96% cotton and 4%lycra. It is noticed that knitted material composition affected the change in heat resistance. Also, this paper presents and verifies the correlation between the measured values of thermal resistance (Rct) and the knitwear thickness (dpl), the covering factor (K), the porosity of the twists (e) and the surface coefficient (dp). Based on these results, a mathematical model for calculating thermal resistance is proposed. Comparing the results obtained with the proposed equation and the measured results, we can see that the deviations are minimal. The highest deviation for sample C4 is 0.05%,while the largest deviation for sample CL4 is 4.6%.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julia Wilfling ◽  
George Havenith ◽  
Margherita Raccuglia ◽  
Simon Hodder

Purpose Sports garments play an important role in the well-being of an athlete by protecting the wearer from changing environmental conditions and providing a comfortable feel. Clothing requirements have changed in recent years and demand for apparel with a higher comfort performance has been rising. Hence, the purpose of this study is to explore consumers’ expectations and perception of comfort and to examine how different textiles are perceived by consumers to provide useful knowledge that allows to engineer comfort into fabrics and sports garments. Design/methodology/approach This online survey comprised 292 respondents, classified by sex, age, nationality and physical activity. The respondents were asked a total of 18 questions through the Bristol Online Survey tool to explore expectation, perception and preference of clothing comfort, specifically of sportswear. Findings Fit and comfort are closely linked together, both forming part of the clothing comfort concept. When purchasing garments online, the haptics of fabrics were identified as a crucial missing parameter. However, priorities of attributes within the concept varied according to the person’s sex and nationality. Women put more emphasis on garment fit and showed a higher need for tactile input, whereas men prioritised physiological comfort descriptors, i.e. properties which facilitate thermoregulation. Furthermore, there is an increased importance of physiological comfort parameters for people exercising for 10 or more hours per week. Finally, it was possible to identify common associations and preferences for textile materials (cotton, polyester, cotton/polyester blend and wool). However, consideration should be taken concerning sex and nationality. Originality/value Sex and nationality are parameters modulating the clothing comfort concept and the conceptualised feel of materials. Therefore, the sex and nationality of the end-consumer should be considered during the development phase of sports garments and particular attention should be given to the targeted market in which these will be sold.


2021 ◽  
pp. 1-10
Author(s):  
H C Meena ◽  
D B Shakyawar ◽  
R K Varshney ◽  
Vinod Kadam
Keyword(s):  

2021 ◽  
pp. 004051752110342
Author(s):  
Yuki Karasawa ◽  
Mayumi Uemae ◽  
Hiroaki Yoshida ◽  
Masayoshi Kamijo

The clothing comfort sensation is a combination of complex components, including psychological and physiological responses. General linear analysis is not always sufficient for the evaluation of the clothing comfort sensation. The current study sought to predict the clothing comfort sensation of wearing an undershirt using an artificial neural network (ANN). We constructed ANN models with psychological sensation data and physiological response data as inputs, including electrocardiogram and thermo-physiological indicators, and the clothing comfort sensation as the output. For the input layer of the model, three conditions were used: the psychological response data only, the physiological response data only, and both the psychological and physiological data. The number of hidden layers in the models ranged from one to three, and the number of units in each hidden layer was changed when fixed values of 30, 60, and 90 were used, or according to the number of data points in the input conditions. The results revealed that, among the three conditions, the accuracy rate was higher when both psychological and physiological response data were used as input. The prediction results exhibited an accuracy rate of up to 85% for unknown test data. The results suggest that the method of evaluating the state of clothing comfort sensation when wearing an undershirt using psychophysiological response measurement was effective and that neural networks are useful for predicting the clothing comfort sensation.


Author(s):  
Mohamed Ghaith Chakroun ◽  
Sofien Benltoufa ◽  
Faten Fayala

Many parameters affect sportswear comfort. Therefore, we selected five sportswear fabrics designed for jogging and hiking T-shirts to study their structural characteristics and to investigate the influence of these characteristics on the clothing comfort properties. The areal weight, the thickness, the loop length and the course and wales densities were calculated. Investigations were performed on air permeability, water vapor resistance and drying time/rate properties of selected fabrics. We found that an increase in the mass per square meter and in thickness decreases the air permeability and increases the water vapor resistance of knitted fabrics. The air permeability is proportional to the loop length, while the water vapor resistance is inversely proportional to the loop length. Finally we did not find any significant relation between the fabric’s structure characteristics and the drying time/rate.


2021 ◽  
Vol 7 (3) ◽  
pp. 98-103
Author(s):  
Devanand Uttam ◽  
Ramratan .

The clothing is not worn only for protecting the human body, but it helps to obtain comfort during high level activities or in unfavorable environmental conditions. Heat generated by the working human body in hot climate or high physical activity, which must be dissipated to the environment. Similarly, in the cold environment, the body is going to be shielded from cold feeling. Thermophysiological clothing comfort related to warmth and moisture transport behaviour of clothing. Good clothing helps to maintain body temperature during various level of physical activities and surrounding environmental condition. Therefore, some improved functional properties are desirable in the clothing. For clothing comfort, thermophysiological comfort properties of fabrics which are related to heat and moisture transport properties play very vital role. These properties can be introduced in the clothing by using various fibrous material and modifying the structure of yarns, fabrics and garments.


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