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3D numerical investigation of the air flow in the wake of a compact SUV-type vehicle fitted with optimized horizontal Savonius turbines

机译:配备优化水平 Savonius 涡轮机的紧凑型 SUV 型车辆尾流的 3D 数值研究

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摘要

This paper presents a numerical study of the airflow characteristics in the wake of a compact SUV vehicle on which two models of Savonius optimized wind turbines (Bach optimized and conventional with a ratio overlap of 0.2) are mounted in the "bull bars. " The turbines consist of two blades placed horizontally at the end of which are two generators capable of converting wind energy into electrical energy necessary for the operation of vehicle accessories. The Fluent solver was used to perform the steady-state incompressible 3D numerical simulations of the RANS equations, and the realizable k-epsilon turbulence model with the Menter-Lechner wall functions was used to solve the problem mathematically. The numerical results obtained show, respectively, 0.403 of the drag coefficient for the vehicle alone and 0.404 of the drag coefficient for the vehicle equipped with "bull bars. " By integrating the wind turbines in the "bull bars " located at the front of the vehicle, we were able to obtain 0.404 as the maximum values of the drag coefficient for the optimized Bach wind turbine when the angle of attack of the blade was 120 DEG; and 0.408 for the conventional turbine with 80 DEG; as the angle of attack. The position and optimized profile of the turbines had no impact on the aerodynamic characteristics of the base vehicle and only contributed 0 for the first model and 0.99 increase in drag for the second model. The optimized Bach model is therefore the most favorable.
机译:本文对一辆紧凑型SUV车辆的气流特性进行了数值研究,该车辆上安装了两种型号的Savonius优化风力涡轮机(Bach优化风力涡轮机和传统风力涡轮机,比率重叠为0.2)。涡轮机由两个水平放置的叶片组成,叶片末端是两个发电机,能够将风能转换为车辆配件运行所需的电能。利用Fluent求解器对RANS方程进行稳态不可压缩三维数值模拟,利用Menter-Lechner壁函数实现的k-ε湍流模型进行数学求解。得到的数值结果分别显示,单独车辆的阻力系数为0.403,配备“防撞杆”的车辆的阻力系数为0.404。通过将风力涡轮机集成到位于车辆前部的“公牛杆”中,当叶片的迎角为120&DEG时,我们能够获得0.404作为优化的Bach风力涡轮机的阻力系数的最大值;0.408 用于 80 & DEG 的常规涡轮机;作为攻角。涡轮机的位置和优化轮廓对基础车辆的空气动力学特性没有影响,第一个模型仅贡献了 0%,第二个模型的阻力增加了 0.99%。因此,优化后的巴赫模型是最有利的。

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