基于Isight和Fluent软件的轿车空调风向优化研究  

Research on Optimization of Car-Air Conditioning Wind Direction Based on Isight and Fluent Software

作　　者：谢金法[1] 段冉[1] 

机构地区：[1]河南科技大学车辆与动力工程学院,河南洛阳471003

出　　处：《郑州大学学报（工学版）》2014年第3期124-128,共5页Journal of Zhengzhou University（Engineering Science）

基　　金：河南省自然科学基金资助项目(082300440100)

摘　　要：运用计算流体力学软件FLUENT,采用压力基耦合求解器,RNGκ-ε两方程模型作为三维湍流模型,研究乘员舱在降温过程中非定常温度场的仿真计算.建立集成数值仿真、近似模型以及优化算法三部分的工作流程.运用数值仿真训练近似模型,采用径向基函数神经网络近似模型代替费时的仿真计算,选用多岛遗传算法优化进风方向.将优化后风向与垂直于进风风口面的风向分别代入仿真软件进行仿真计算.对比优化前后的热流量值以及温度云图可知,前座椅热流量优化后提高11.98%,后座椅热流量优化后提高17.81%.且优化后的降温面积与降温程度得到改善.The cooling process of unsteady temperature field in the crew capsule is simulated, making use of computational fluid dynamics software FLUENT and the algorithm of PBCS, in addition to RNGK - 6 two equation model replaced with the three-dimensional turbulence model. And then the workflow is established, which includes numerical simulation, approximate model and optimization algorithm. The numerical simulation trains approximation model, using radial basis function （RBF） neural network approximation model instead of the high cost of the simulation calculation. Multi-island GA is chosen to optimize the wind direction. The wind direction optimized and the wind direction vertical surface of inlet tuyere are calculated by simulation software respectively. Compared before and after the optimization of heat flow value and temperature contours, front seat heat flow increases by 11.98% after optimization, rear seat heat flow increases by 17.81% after optimization, and the optimized cooling area and cooling degree are improved.

关 键 词：进风方向 径向基函数神经网络 多岛遗传算法 车室降温速率 

分 类 号：U462.1[机械工程—车辆工程]