Numerical Optimization Research on Rear Characteristic Angles Based on MIRA Model for Aerodynamic Drag Reduction

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Abstract:

The rear characteristic angles of the passenger car in this study were defined as the inclination angle of rear window and the bottom inclination angle of aft based on the MIRA model. The numerical optimization method was used to analyze the influence of combined variation of two angles on the external flow field and the CD of the passenger car, in which we combined genetic algorithm with the CFD simulation to reduce aerodynamic drag by seeking the relatively optimal combination of two parameters above. The study reveals that when the combination of the inclination angle of rear window and bottom inclination angle of aft is 25oand 0.067o, the total pressure and streamline distribution in the flow fields of the MIRA model are improved greatly and the CD is reduced compared with the worst combination. This conclusion will have profound guiding significance in the aerodynamic design of the rear styling and shape of a car.

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Periodical:

Advanced Materials Research (Volumes 774-776)

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428-432

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] FU Li-min. Automotive aerodynamics. Beijing: China Machine Press (2006).

Google Scholar

[2] WANG Fu-jun. Computational fluid dynamics analysis: CFD software principle and application. Beijing: Tsinghua University Press (2004).

Google Scholar

[3] ZHANG Ling-xin and JIANG Jin-ren, et al. Latin Hypercube Sampling And Its Application to Structural Reliability[J]. World Information on Earthquake Engineering, 1997, 4.

Google Scholar

[4] YAN peng, WU Guang-qiang, FU Li-min and HU Xing-jun, et al. Numerical Simulation of Flow Field around Car[J]. Journal of Tongji University, (Natural and Science Edition), 2003, 9.

Google Scholar

[5] HU Xing-jun, LI Teng-fei, and WANG Jing-yu, et al. Numerical simulation of influence of rear-end panels on flow field in wake of a heavy-duty truck[J]. Journal of Jilin University, (Engineering and Technology Edition), 2013, 5.

Google Scholar

[6] XUAN Guang-nan, CHENG Run-wei. Genetic Algorithms and Engineering Optimization. Beijing: Tsinghua University Press (2004).

Google Scholar