通过 CFD 数值优化 FSAE 赛车鼻锥的空气动力性能

Q2 Mathematics
Amol Dhumal, Nitin Ambhore, Pradip Tamkhade, Atharv Marne, Nihal Muzawar
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引用次数: 0

摘要

本文介绍了 SAE 级方程式赛车鼻锥的优化和空气动力性能。研究的目的是最大限度地减少阻力,同时增强下压力以提高车辆的牵引力和加速度。考虑到底盘尺寸、离地间隙和 SAE 级方程式赛车规则限制等因素,开发了大量鼻锥 CAD 模型。计算流体动力学 (CFD) 分析在 ANSYS 2021 Fluent 模块中进行。使用四面体单元创建流体域并划分网格,使用可实现的 k-ε 湍流模型预测流场。模拟结果显示了包括阻力和升力系数以及压力和速度等值线在内的重要信息。对升力和阻力系数的深入分析为优化鼻锥设计提供了指导。研究最终确定了一种能产生最有利阻力系数的鼻锥设计,其阻力系数范围在 0.2-0.3 之间。研究还发现,下压力增加了 27%。事实证明,这种设计能非常有效地减少车辆的阻力和足够的下压力,从而提高加速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Optimization for Aerodynamic Performance of Nose Cone of FSAE Vehicle through CFD
This paper presents the optimization and aerodynamic performance of a Formula SAE vehicle nose cone. The purpose of the study is to minimize drag while simultaneously enhancing downforce to improve traction and acceleration of the vehicle. Numerous CAD models of the nose cone were developed, taking into account factors such as chassis dimensions, ground clearance, and Formula SAE rulebook constraints. Computational Fluid Dynamics (CFD) analysis is carried out in ANSYS 2021 Fluent module. The fluid domain was created and meshed using tetrahedral cells, and the flow field was predicted using the Realizable k-ε turbulence model. The simulation results revealed essential information including drag and lift coefficients, as well as pressure and velocity contours. An in-depth analysis of lift and drag coefficients guided the optimization of the nose cone design. The study ultimately identified a nose cone design that yielded the most favorable drag coefficient and is found in the range between 0.2-0.3. The study also observed that the down force is increased by 27%. This design proved highly effective in reducing the vehicle's drag and sufficient downforce to enhance acceleration.
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来源期刊
CFD Letters
CFD Letters Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
3.40
自引率
0.00%
发文量
76
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