Simulation and understanding of the aerodynamic characteristics of a badminton shuttle

HART, John (2014). Simulation and understanding of the aerodynamic characteristics of a badminton shuttle. Procedia engineering, 72, 768-773.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.proeng.2014.06.130
Link to published version:: https://doi.org/10.1016/j.proeng.2014.06.130
Related URLs:

    Abstract

    This paper presents a study in the simulation and understanding of the aerodynamic characteristics of a badminton shuttle, using Computational Fluid Dynamics. Modeled shuttle geometry was based upon a high quality synthetic shuttle, a Yonex Mavis 370. The study investigated the use of Reynolds Averaged Navier Stokes (RANS) simulation in comparison to Scale Resolving Simulation (SRS), for the prediction of the complicated flow fields that are associated with the bluff body aerodynamics of badminton shuttles. RANS are known to struggle with predicting large bluff body separations, in comparison to SRS modeling. However SRS modeling can require significant computational resource, and the models require careful application with consideration made to spatial and temporal resolution. It was found that unsteady RANS was capable of predicting comparable time averaged flow field data to the SRS models. Both approaches produced feasible drag coefficient values for the shuttle. However RANS was incapable of predicting the complicated turbulent vortex structures within the shuttle wake, which were captured by SRS.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Centre for Sports Engineering Research
    Identification Number: https://doi.org/10.1016/j.proeng.2014.06.130
    Page Range: 768-773
    Depositing User: Hilary Ridgway
    Date Deposited: 13 Aug 2014 08:45
    Last Modified: 18 Mar 2021 10:45
    URI: http://shura.shu.ac.uk/id/eprint/8347

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics