摘要
为了找到一种快速获得赛车尾翼在不同工况下最佳攻角的方法,以中国大学生方程式赛车某高校两片式尾翼为研究对象,根据计算流体力学方法,首先利用传统方法选定不同攻角,并使用Fluent进行模拟获得最佳值,然后,在Workbench平台上,对攻角进行参数化,并利用目标驱动优化方法通过数值模拟获得最佳攻角。研究表明,利用参数化优化的方法更加快速有效。
In order to find a way to get the best attack angles for the racing car rear wings quickly in different working conditions, the two-piece rear wing of a racing car in the Chinese College Students Formula Racing is taken as an object of study. According to Com- putational Fluid Dynamics （CFD）, different attack angles are chosen in the traditional way, and the best data is determined by simula- tion in Fluent Software. Then, the attack angles are parameterized on Workbench platform, and the best attack angle is obtained by u- sing the goal-driven optimization and numerical simulation. Research shows that parameterization is quicker and more efficient.
出处
《机械制造与自动化》
2016年第3期130-133,共4页
Machine Building & Automation
关键词
方程式赛车
尾翼
攻角
参数化
目标驱动优化
formula racing
rear wings
attack angle
parameterize
goal-driven optimization
作者简介
牛贺功（1988-），男，河南沈丘人，硕士研究生，主要研究领域为车辆系统动力学。
