摘要
针对面向性能的发动机冷却风扇叶片几何形状优化的问题,将参数化建模技术应用到对冷却风扇叶片安装角的描述中,建立了冷却风扇的参数化模型,以多学科优化平台Isight和商业流体模拟软件Fluent为基础,建立了一种模型参数化、网格划分、CFD分析和多目标优化相结合的发动机冷却风扇优化集成平台,并运用非支配排序遗传算法对冷却风扇进行了优化。对优化结果与试验结果进行了对比,分析了冷却风扇的内部流场。研究结果表明,优化后的风扇模型静压提高了12.840 6%,动压和风扇效率也有所提高,冷却风扇的整体性能得到了优化。
Aiming at the problem of performance-based optimization of the automotive engine cooling fan blade geometry, the parametric modeling technology was applied to description of the cooling fan blade installation angle, and a parameterized model of cooling fan was established. A platform for optimization design of engine cooling fan was built based on multidisciplinary optimization software isight and commercial fluid simulation software fluent. In the platform, parameterization modeling, meshing, computational simulation and optimization were combined together. In addition, the optimization of fan was performed on the platform, using non-donminated sorting genetic algorithms Ⅱ. The optimization results were compared with the test results. Moreover, the inner flow field of cooling fan was analyzed. The results indicate that the static pressure increased by 12. 840 6%, and dynamic pressure and efficiency of fan are also improved. The overall performance of fan has been optimized.
出处
《机电工程》
CAS
2015年第6期744-749,共6页
Journal of Mechanical & Electrical Engineering
关键词
发动机
冷却风扇
计算流场分析
优化
engine
cooling fan
computational fluid dynamics （CFD）
optimization
