Prediction of Aircraft Dynamic Stability Derivatives Using Time-Spectral Computational Fluid Dynamics

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Author(s)

    • MIYAJI Koji
    • Faculty of Engineering, Yokohama National University
    • YOSHIDA Yu
    • College of Engineering Science, Yokohama National University

Abstract

<p>In this study, the dynamic stability derivatives of an aircraft model are calculated using CFD for the forced-pitch oscillation. The time-spectral, or reduced-frequency, method has been developed for RANS simulations on unstructured grids. It achieves faster computations than the time-marching method for periodically unsteady flows. The efficiency and accuracy of the method are first validated through comparisons with the transonic experiment of a pitching LANN wing. Next, the longitudinal dynamic-stability derivatives of a simplified aircraft model are calculated. Dependency of the damping-in-pitch and oscillatory longitudinal stability on the Mach number agreed reasonably well with the experimental results. Both the instantaneous flow field and frequency characteristics obtained directly from the time-spectral results are discussed to determine the effect of Mach number on the stability derivatives.</p>

Journal

  • TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

    TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 62(6), 291-298, 2019

    THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

Codes

  • NII Article ID (NAID)
    130007741729
  • Text Lang
    ENG
  • ISSN
    0549-3811
  • Data Source
    J-STAGE 
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