A comparison of methods for assessing the thermal insulation value of children’s schoolwear in Kuwait

2012 ◽  
Vol 43 (1) ◽  
pp. 203-210 ◽  
Author(s):  
Khaled Al-Rashidi ◽  
Dennis loveday ◽  
Nawaf Al-Mutawa ◽  
George Havenith
2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Khaled Al-Rashidi ◽  
Radhi Alazmi ◽  
Mubarak Alazmi

Artificial neural network (ANN) was utilized to predict the thermal insulation values of children’s school wear in Kuwait. The input thermal insulation data of the different children’s school wear used in Kuwait classrooms were obtained from study using thermal manikins. The lowest mean squared error (MSE) value for the validation data was 1.5 × 10−5 using one hidden layer of six neurons and one output layer. The R2 values for the training, validation, and testing data were almost equal to 1. The values from ANN prediction were compared with McCullough’s equation and the standard tables’ methods. Results suggested that the ANN is able to give more accurate prediction of the clothing thermal insulation values than the regression equation and the standard tables methods. The effect of the different input variables on the thermal insulation value was examined using Garson algorithm and sensitivity analysis and it was found that the cloths weight, the body surface area nude (BSA0), and body surface area covered by one layer of clothing (BSAC1) have the highest effect on the thermal insulation value with about 29%, 27%, and 23%, respectively.


2020 ◽  
Vol 20 (3) ◽  
pp. 228-243
Author(s):  
Ivana Špelić ◽  
Dubravko Rogale ◽  
Alka Mihelić Bogdanić

AbstractFormer studies done by other authors investigated the first- and second-layered air gaps beneath the clothing garments. None of the previous studies reported multidisciplinary clothing design testing approach linking both the objective measuring methods and subjective responses, while testing the thermal properties linked to a microclimatic volume formed between the layers of garments forming the ensemble. Neither was determined the limiting value of the microclimatic volume for outerwear garments, after which the thermal insulation will start to decrease due to convection. By taking the advantage of the precise three-dimensional (3D) body scanning technology and reverse engineering 3D CAD tool, the volume of the microclimatic air layers formed under outerwear garments was determined to study the impact of the ensemble’s microclimatic volume on the overall insulation value, measured by means of the thermal manikin. The jacket with the smaller microclimatic volume provided 5.2–13.5% less insulation than wider jackets, while the ensembles with tighter jackets showed 0.74–1.9% less insulation in static and 0.9–2.7% more insulation in dynamic conditions, thus proving that the limiting value of the microclimatic volume is greater than previously reported for three-layered ensembles. The effective thermal insulation value was reduced in average by 20.98–25.34% between standing and moving manikins. The thermal manikins are designed for steady-state measurements and do not work well under transient conditions, so three human subjects were employed as evaluators of the clothing thermal quality. In cooler climatic conditions, the measured physiological parameters and subjects’ grades pointed to discomfort while wearing ensembles with tighter jackets.


2020 ◽  
pp. 152808371990067
Author(s):  
Róbert Toma ◽  
Kalev Kuklane ◽  
Miloš Fojtlín ◽  
Jan Fišer ◽  
Miroslav Jícha

2019 ◽  
pp. 152808371988655
Author(s):  
Jana Švecová ◽  
Jan Strohmandl ◽  
Jan Fišer ◽  
Róbert Toma ◽  
Petr Hajna ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document