Optimal Design of Thermal Insulation Performance of Transport Packaging Box Based On Response Surface Algorithm

On the premise of ensuring thermal insulation performance and structural strength, lightweight design of spacecraft transport packaging box is helpful to energy saving and emission reduction. In order to achieve this goal, based on the finite element analysis method of heat conduction process, the influence of design variables such as insulation layer size, material type and aluminum square tube size on the box performance is studied. The experimental scheme was designed by response surface method, and each scheme was simulated by Ansys Fluent. The obtained data were fitted by multiple quadratic regression to obtain the mapping relationship between each parameter and weight, and the optimal scheme was obtained through processing and analysis. The results show that the safety factor of the optimized box structure is 1.21, which meets the design requirements. After 4 hours, the internal temperature of the box is 23.86℃, which is lower than the external temperature of the box to meet the expected requirements, and the box quality is reduced by 13.3% compared with that before optimization. Through the application of response surface algorithm, the weight of the box is reduced to the greatest extent under the dual constraints of thermal insulation performance and structural strength, and the lightweight optimization design of the transportation packaging box is realized.