Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics

This paper focuses on estimating dynamic stability derivatives using a computational fluid dynamics (CFD)-based force oscillation method, and on separating the coupled dynamic derivatives terms obtained from the method. A transient RANS solver is used to calculate the time history of aerodynamic mom...

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Autores principales: Nadhie Juliawan, Hyoung-Seog Chung, Jae-Woo Lee, Sangho Kim
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:cb2de15c228d4320b8999df008b6c4b42021-11-25T15:57:51ZEstimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics10.3390/aerospace81103542226-4310https://doaj.org/article/cb2de15c228d4320b8999df008b6c4b42021-11-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/354https://doaj.org/toc/2226-4310This paper focuses on estimating dynamic stability derivatives using a computational fluid dynamics (CFD)-based force oscillation method, and on separating the coupled dynamic derivatives terms obtained from the method. A transient RANS solver is used to calculate the time history of aerodynamic moments for a test model oscillating about the center of gravity, from which the coupled dynamic derivatives are estimated. The separation of the coupled derivatives term is carried out by simulating simple harmonic oscillation motions such as plunging motion and flapping motion which can isolate the pitching moment due to AOA rate (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><msub><mi>m</mi><mover accent="true"><mi>α</mi><mo>˙</mo></mover></msub></mrow></msub></mrow></semantics></math></inline-formula>) and the pitching moment due to pitch rate (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><msub><mi>m</mi><mi>q</mi></msub></mrow></msub></mrow></semantics></math></inline-formula>), respectively. The periodic motions are implemented using a CFD dynamic mesh technique with user-defined function (UDF). For the validation test, steady and unsteady simulations are performed on the Army-Navy Finner Missile model. The static aerodynamic moments and pressure distribution, as well as the coupled dynamic derivative results from the pitching oscillation mode, show good agreement with the previously published wind tunnel tests and CFD analysis data. In order to separate the coupled derivative terms, two additional harmonic oscillation modes of plunging and flapping motions are tested with the angle of attack variations from 0 to 85 degrees at a supersonic speed to provide real insight on the missile maneuverability. The cross-validation study between the three oscillation modes indicates the summation of the individual plunging and flapping results becoming nearly identical to the coupled derivative results from the pitching motion, which implies the entire set of coupled and separated dynamic derivative terms can be effectively estimated with only two out of three modes. The advantages and disadvantages of each method are discussed to determine the efficient approach of estimating the dynamic stability derivatives using the forced oscillation method.Nadhie JuliawanHyoung-Seog ChungJae-Woo LeeSangho KimMDPI AGarticledynamic stability derivativesforced oscillationcomputational fluid dynamicsMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 354, p 354 (2021)
institution DOAJ
collection DOAJ
language EN
topic dynamic stability derivatives
forced oscillation
computational fluid dynamics
Motor vehicles. Aeronautics. Astronautics
TL1-4050
spellingShingle dynamic stability derivatives
forced oscillation
computational fluid dynamics
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Nadhie Juliawan
Hyoung-Seog Chung
Jae-Woo Lee
Sangho Kim
Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
description This paper focuses on estimating dynamic stability derivatives using a computational fluid dynamics (CFD)-based force oscillation method, and on separating the coupled dynamic derivatives terms obtained from the method. A transient RANS solver is used to calculate the time history of aerodynamic moments for a test model oscillating about the center of gravity, from which the coupled dynamic derivatives are estimated. The separation of the coupled derivatives term is carried out by simulating simple harmonic oscillation motions such as plunging motion and flapping motion which can isolate the pitching moment due to AOA rate (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><msub><mi>m</mi><mover accent="true"><mi>α</mi><mo>˙</mo></mover></msub></mrow></msub></mrow></semantics></math></inline-formula>) and the pitching moment due to pitch rate (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><msub><mi>m</mi><mi>q</mi></msub></mrow></msub></mrow></semantics></math></inline-formula>), respectively. The periodic motions are implemented using a CFD dynamic mesh technique with user-defined function (UDF). For the validation test, steady and unsteady simulations are performed on the Army-Navy Finner Missile model. The static aerodynamic moments and pressure distribution, as well as the coupled dynamic derivative results from the pitching oscillation mode, show good agreement with the previously published wind tunnel tests and CFD analysis data. In order to separate the coupled derivative terms, two additional harmonic oscillation modes of plunging and flapping motions are tested with the angle of attack variations from 0 to 85 degrees at a supersonic speed to provide real insight on the missile maneuverability. The cross-validation study between the three oscillation modes indicates the summation of the individual plunging and flapping results becoming nearly identical to the coupled derivative results from the pitching motion, which implies the entire set of coupled and separated dynamic derivative terms can be effectively estimated with only two out of three modes. The advantages and disadvantages of each method are discussed to determine the efficient approach of estimating the dynamic stability derivatives using the forced oscillation method.
format article
author Nadhie Juliawan
Hyoung-Seog Chung
Jae-Woo Lee
Sangho Kim
author_facet Nadhie Juliawan
Hyoung-Seog Chung
Jae-Woo Lee
Sangho Kim
author_sort Nadhie Juliawan
title Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
title_short Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
title_full Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
title_fullStr Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
title_full_unstemmed Estimation and Separation of Longitudinal Dynamic Stability Derivatives with Forced Oscillation Method Using Computational Fluid Dynamics
title_sort estimation and separation of longitudinal dynamic stability derivatives with forced oscillation method using computational fluid dynamics
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/cb2de15c228d4320b8999df008b6c4b4
work_keys_str_mv AT nadhiejuliawan estimationandseparationoflongitudinaldynamicstabilityderivativeswithforcedoscillationmethodusingcomputationalfluiddynamics
AT hyoungseogchung estimationandseparationoflongitudinaldynamicstabilityderivativeswithforcedoscillationmethodusingcomputationalfluiddynamics
AT jaewoolee estimationandseparationoflongitudinaldynamicstabilityderivativeswithforcedoscillationmethodusingcomputationalfluiddynamics
AT sanghokim estimationandseparationoflongitudinaldynamicstabilityderivativeswithforcedoscillationmethodusingcomputationalfluiddynamics
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