Thickness optimization of multilayer thermal protective clothing

Purpose This study aims to enhance the thermal and moisture transfer performance within the “human-fabric-environment” system in high-temperature environments. The goal is to extend the maximum working time for personnel and prevent burns by optimizing the design of multi-layer thermal protective clothing. Design/methodology/approach The research begins with an analysis of the thermal and moisture transfer model for multi-layer thermal protective clothing. An optimization problem is formulated to determine the optimal thickness of the air layer and textile material layer. The mathematical mechanisms of the model are deeply analyzed to understand how changes in the thickness of these layers affect the performance of protective clothing. A particle swarm optimization algorithm is then employed to solve the thickness optimization problem. Findings The study identifies the optimal relationship between the thickness of the fabric layer and air layer and the burn time under various conditions. Numerical simulations are conducted to verify the rationality of the proposed optimization problem. Originality/value The findings provide a solid scientific foundation for the design of protective clothing in high-temperature environments, ensuring enhanced thermal and moisture management, which can significantly extend the safe working time for individuals in such conditions.