Thermal Environment Analysis and Ventilation Parameter Optimization of Passenger Cabin
In order to improve the cooling efficiency of natural ventilation in cabin in summer,a method of top ventilation in cab-in is proposed,and the multi-objective genetic algorithm is used to optimize the top ventilation parameters.The flow field in the cabin was numerically simulated by fluent.The realizable k-ε turbulence model was selected and the solar radiation model was introduced.Taking the inlet velocity and inlet angle as design variables and the temperature of monitoring points as the optimiza-tion objective,the sample points were designed by Latin hypercube method and the numerical simulation was carried out.The sec-ond-order response surface models of six monitoring points were established,and the multi-objective genetic algorithm was used to optimize the response surface model.Finally,the flow field of the numerical simulation of the optimized inlet parameters was an-alyzed and compared with that before optimization.The results show that with the reasonable change of ventilation parameters,the average temperature in the cabin is obviously changed.The foot of the front row is reduced by 1.65℃,and the head of the rear row is reduced by 1.44℃.The flow field distribution in the cabin is more reasonable after optimization.
CabinVentilation and CoolingCFDExperimental DesignResponse Surface MethodologyOptim-ization for Design
万方数据
维普
