基于多目标遗传算法的特种车舱室送风系统优化设计

Due to the narrow and densely-populated space in the cabin of the special vehicle, it is difficult for the air supply system to meet the thermal comfort requirements of all the occupants, and thus it is necessary to optimize the design of the air supply system with reasonable layout of the special vehicle cabin. A simplified three-dimensional model of a type of special vehicle cabin was established. Predicted mean vote (PMV), air age, weighted temperature, and temperature difference between head and foot were selected as the evaluation criteria of the air supply system. Combined with the CFD and multi-objective genetic algorithm, the layout and parameters of the air supply system were simulated and optimized. The simulation results showed that the crew,s thermal comfort can be effectively improved by using the top left and right seams and the foot air inlet. With a further analysis of the Pareto optimal solution, we obtained the optimal parameter values of the top air inlet position, air supply angle and return air vent position. The optimized design results meet the requirements of the design indicators, and provide a new idea for the design and optimization of the special vehicle,s air supply system.