Model Design and Simulation for Reliability Optimization of Automotive Front Cabin Cooling Flow Field
Aiming at the complexity and uncertainty of design variables of automotive front cabin cooling sys-tem,Chebyshev uncertainty analysis was applied to optimization design of front cabin cooling flow field to establish a model for reliability optimization for automotive front cabin cooling flow field range.Taking the front cabin cooling system of a car as an example,Chebyshev function was used to optimize the structure design.Selecting the average flow velocity and airflow volume of the cooler and radiator as the target thresholds,this article adopted k-ε turbu-lence model reliability for finite element analysis and analyzed iteration combined with Chebyshev reliability,to op-timize the structure of the front cabin cooling module and improve the performance of the front cabin cooling flow field.The experimental results show that the performance of front cabin cooling flow field can be improved to some extent by increasing the front energy retaining foam section and optimizing the gap between the fan blade and the bracket.
NETL
NSTL
万方数据
