Vortex force map method to estimate unsteady forces from snapshot flowfield measurements

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Shūji Ōtomo, Pascal Gehlert, Holger Babinsky, Juan Li
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引用次数: 0

Abstract

An accurate non-intrusive force measurement is challenging in many situations, especially those involving animals and vehicles. This paper reports a non-intrusive technique based on the vortex force map (VFM) method, which computes forces from snapshot velocity and vorticity fields obtained from the particle image velocimetry (PIV) flow measurement. This study is the first application of the VFM method to PIV velocity data. The VFM method is applied to three different kinematic families for surging flat plates and pitching NACA 0018 aerofoils at Reynolds numbers of \({ \mathcal {O}\left( {10^{4}}\right) }\), where flowfields are characterised by massive flow separation with the shedding of the coherent leading-edge and trailing-edge vortices. In all three cases, we observe an agreement between the direct force measurements and the VFM method even if a relatively small region around aerofoils is captured for PIV. Moreover, physical explanations of the linkage between the forces and vortical structures are provided based on the visualised force contribution of each vortex. The VFM method is highly robust to noise (a significant feature in experimental fluid mechanics) and can be applied to snapshot data.

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来源期刊
Experiments in Fluids
Experiments in Fluids 工程技术-工程:机械
CiteScore
5.10
自引率
12.50%
发文量
157
审稿时长
3.8 months
期刊介绍: Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.
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