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    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 230, No. 13 ( 2016-11), p. 1808-1821
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 230, No. 13 ( 2016-11), p. 1808-1821
    Abstract: By optimizing the aerodynamic shape parameters, the aerodynamic performance of the vehicle becomes better as the aerodynamic drag decreases. The driving stability also becomes better as the aerodynamic lift decreases. This research presents aerodynamic shape optimization which employs the multi-variable parametric model and the iterative optimal approach to reduce the aerodynamic drag and the aerodynamic lift. For aerodynamic studies with computational fluid dynamics simulations, a parametric surface grid model was used to morph and enhance the mesh quality by linear deformation of the exterior surfaces. This method employed the radial basis function model, and integrated optimization with multi-software provides excellent morphing ability and reasonable optimal designs. In this paper, the process of aerodynamic optimization for a vehicle body is divided into two phases. The first phase is two-dimensional body optimization aimed at a global search, and the second phase aims at a local approximation by running three-dimensional body optimization. The iterative optimal approach can optimize efficiently the aerodynamic characteristics with a reduction in the aerodynamic drag of 13.23% and a marked improvement in the aerodynamic lift. Sensitivity analysis of the design parameters demonstrated that the hood angle is the major factor in the aerodynamic drag coefficient C D . For the aerodynamic lift coefficient C L , the trunk lid angle is the major factor. In addition, the angle of the windshield and the angle of the side window have small influences on C L . The results obtained are accurate reference values for application in automotive engineering.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2032754-7
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