Experimental Measurement and Prediction of Thermal Resistance in Paratrooper Clothing

Abstract

Combat free fall (CFF) paratrooper's protective clothing comprising of nonwoven fabric, combinations of inherently flame retardant Nomex Õ fabric, and cotton fabric are studied under simulated conditions (wind velocity) of conduction using Thermolabo-II technique. Theoretical predictions of thermal resistance using mathematical modeling have also been carried out by taking into consideration important parameters that affect the functional performance. The results showed that nonwoven insulating fabrics exhibit high thermal resistance in dry contact method under moderate wind velocity and the values predicted by modeling confirm the same.

Thermal resistance prediction of aerogel fabrics after repeated washing based on small-sample data

“…Prior studies have proposed various prediction models for the thermal properties of fabric products, such as statistical models, [8][9][10][11][12][13][14] artificial neural networks, [15][16][17][18] theoretical models of heat transfer, [19][20][21] and finite element models. [22][23][24] More recent studies 3,25,26 have examined the effects of recurrent washing on the thermal insulation performance of textiles, confirming a strong correlation between thermal resistance and parameters such as thickness, weight, air permeability, and porosity. However, these models are insufficient for accurately predicting the thermal resistance of compounded aerogel fabrics, primarily due to limited data and the involvement of multiple physical and mechanical properties.…”

“…Prior studies have proposed various prediction models for the thermal properties of fabric products, such as statistical models, 8–14 artificial neural networks, 15–18 theoretical models of heat transfer, 19–21 and finite element models. 22–24…”