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Force moment partitioning and scaling analysis of vortices shed by a 2D pitching wing in quiescent fluid.

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Title: Force moment partitioning and scaling analysis of vortices shed by a 2D pitching wing in quiescent fluid.
Authors: Zhu, Yuanhang1,2 (AUTHOR) yuanhang_zhu@brown.edu, Lee, Howon1,3 (AUTHOR), Kumar, Sushrut4 (AUTHOR), Menon, Karthik5 (AUTHOR), Mittal, Rajat4 (AUTHOR), Breuer, Kenneth1 (AUTHOR)
Source: Experiments in Fluids. Oct2023, Vol. 64 Issue 10, p1-18. 18p.
Subjects: Torque, Vortex shedding, Fluids, Moments method (Statistics)
Abstract: We experimentally study the dynamics and strength of vortices shed from a NACA 0012 wing undergoing sinusoidal pitching in quiescent water. We characterize the temporal evolution of the vortex trajectory and circulation over a range of pitching frequencies, amplitudes and pivot locations. By employing a physics-based force and moment partitioning method (FMPM), we estimate the vortex-induced aerodynamic moment from the velocity fields measured using particle image velocimetry. The vortex circulation, formation time and vorticity-induced moment are shown to follow scaling laws based on the feeding shear-layer velocity. The vortex dynamics, together with the spatial distribution of the vorticity-induced moment, provide quantitative explanations for the nonlinear behaviors observed in the fluid damping (Zhu et al. in J Fluid Mech, 923:R2, 2021). The FMPM-estimated moment and damping are shown to match well in trend with direct force measurements, despite a discrepancy in magnitude. Our results demonstrate the powerful capability of the FMPM in dissecting experimental flow field data and providing valuable insights into the underlying flow physics. [ABSTRACT FROM AUTHOR]
Copyright of Experiments in Fluids is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Force moment partitioning and scaling analysis of vortices shed by a 2D pitching wing in quiescent fluid.
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  Data: <searchLink fieldCode="JN" term="%22Experiments+in+Fluids%22">Experiments in Fluids</searchLink>. Oct2023, Vol. 64 Issue 10, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Torque%22">Torque</searchLink><br /><searchLink fieldCode="DE" term="%22Vortex+shedding%22">Vortex shedding</searchLink><br /><searchLink fieldCode="DE" term="%22Fluids%22">Fluids</searchLink><br /><searchLink fieldCode="DE" term="%22Moments+method+%28Statistics%29%22">Moments method (Statistics)</searchLink>
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  Data: We experimentally study the dynamics and strength of vortices shed from a NACA 0012 wing undergoing sinusoidal pitching in quiescent water. We characterize the temporal evolution of the vortex trajectory and circulation over a range of pitching frequencies, amplitudes and pivot locations. By employing a physics-based force and moment partitioning method (FMPM), we estimate the vortex-induced aerodynamic moment from the velocity fields measured using particle image velocimetry. The vortex circulation, formation time and vorticity-induced moment are shown to follow scaling laws based on the feeding shear-layer velocity. The vortex dynamics, together with the spatial distribution of the vorticity-induced moment, provide quantitative explanations for the nonlinear behaviors observed in the fluid damping (Zhu et al. in J Fluid Mech, 923:R2, 2021). The FMPM-estimated moment and damping are shown to match well in trend with direct force measurements, despite a discrepancy in magnitude. Our results demonstrate the powerful capability of the FMPM in dissecting experimental flow field data and providing valuable insights into the underlying flow physics. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Experiments in Fluids is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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