Far-Field Drag Decomposition Applied to the Drag Prediction Workshop 5 Cases

Gariépy, Martin; Malouin, Benoit; Trépanier, Jean‐Yves; Laurendeau, Éric

doi:10.2514/1.c032204

Cited by 28 publications

(10 citation statements)

References 9 publications

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“…** By doing so, we avoid the need for a viscous volume that is usually required in far-field drag methods. The definition of this volume relies on physical sensors but is not unique and must be calibrated [24,34,35,48], just like the shock surface described next.…”

Section: Generic Control Volume Definitionmentioning

confidence: 99%

Exergy-Based Performance Assessment of the NASA Common Research Model

Arntz

Hue

2016

AIAA Journal

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Section: Generic Control Volume Definitionmentioning

confidence: 99%

Exergy-Based Performance Assessment of the NASA Common Research Model

Arntz

Hue

2016

AIAA Journal

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“…The far field method of integration permits the separation of total drag into its physical components such as viscous drag, wave drag and spurious drag which is an additional component arises because of the numerical and truncation errors. The breakdown of individual physical components of drag includes the difference between thermodynamic reversible and irreversible processes [7] due to the entropy variations in the flow field. Both the wave and viscous drags are irreversible processes which are related to the shock and boundary layer viscous effects whereas induced drag is an exchange of energy and hence it is reversible and is related to the vortices at the wing tip.…”

Section: B Thermodynamic Variablesmentioning

confidence: 99%

Computational Analysis and Estimation of Drag Components through Mid Field Drag Decomposition Method

Shivakumar¹,

Nagapp²,

Shridevi³

2015

IJERT

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Lift and drag are the most important parameters during cruise flight. A small increment in the drag costs more fuel. Therefore accurate prediction of aerodynamic drag is the key element. A computational method for drag decomposition is estimated. The mid field and near field methods are applied to NACA 0012 airfoil.The mid field drag decomposition method separates total drag into viscous, waveand spurious drag components. The spurious drag arises due to the numerical and truncation errors from the flow solution and hence elimination on the spurious drag inherently increases the accuracy of the flow solution. In this research, near field andmid field methods are applied to the airfoil for a transonicflow condition.

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“…However, the estimation of the irreversible axial velocity defect based on Equation (6) is problematic as noted by reference [42]. The radical may become negative at some location within the domain and prevent a computation.…”

Section: Euler-flow Modelmentioning

confidence: 99%

Wake-Model Effects on Induced Drag Prediction of Staggered Boxwings

2018

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Abstract:For staggered boxwings the predictions of induced drag that rely on common potential-flow methods can be of limited accuracy. For example, linear, freestream-fixed wake models cannot resolve effects related to wake deflection and roll-up, which can have significant affects on the induced drag projection of these systems. The present work investigates the principle impact of wake modelling on the accuracy of induced drag prediction of boxwings with stagger. The study compares induced drag predictions of a higher-order potential-flow method that uses fixed and relaxed-wake models, and of an Euler-flow method. Positive-staggered systems at positive angles of attack are found to be particularly prone to higher-order wake effects due to vertical contraction of wakes trajectories, which results in smaller effective height-to-span ratios than compared with negative stagger and thus closer interactions between trailing wakes and lifting surfaces. Therefore, when trying to predict induced drag of positive staggered boxwings, only a potential-flow method with a fully relaxed-wake model will provide the high-degree of accuracy that rivals that of an Euler method while being computationally significantly more efficient.

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Far-Field Drag Decomposition Applied to the Drag Prediction Workshop 5 Cases

Cited by 28 publications

References 9 publications

Exergy-Based Performance Assessment of the NASA Common Research Model

Exergy-Based Performance Assessment of the NASA Common Research Model

Computational Analysis and Estimation of Drag Components through Mid Field Drag Decomposition Method

Wake-Model Effects on Induced Drag Prediction of Staggered Boxwings

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