Performance optimization design of lightweight composite thermal insulation structure for vehicle shelter

Abstract

Aiming at the thermal insulation problem of vehicle shelter in high heat and cold environment, with polyurethane foam as the base material, vacuum insulation board and aerogel with low thermal conductivity as the core material, a new composite insulation structure called dual-core cladding thermal insulation structure suitable for vehicle shelter is proposed. Based on the secondary development of ANSYS, the batch CFD simulation of the sample points of the dual-core cladding thermal insulation structure is realized, and it is concluded that its surface density increases linearly and effective thermal conductivity decreases nonlinearly with the increasing of thickness of the core material. Comparing with aerogel, the thickness of the vacuum insulation board has a more obvious influence on the performance of the insulation structure. The proxy model and the second-generation non-inferior ranking genetic algorithm are used to perform the multi-objective optimization of performance of the dual-core cladding thermal insulation structure. After optimization, the effective thermal conductivity of the thermal insulation structure reduced by 55.56%, and the thermal insulation effect is better than that of the single-core thermal insulation structure. The new dual-core cladding thermal insulation structure was applied to the middle roof of a vehicle shelter, the analysis results showed that the heat transfer coefficient of the middle roof reduced by 15.76% under the requirement of surface density, which improved significantly the heat insulation performance of the vehicle shelter slab.

Keywords

• vehicle shelter
• insulation structure
• ansys secondary development
• cfd simulation
• multi-objective optimization