Wake-model effects on induced drag prediction of staggered boxwings

Schirra, J, Bissonnette, W and Bramesfeld, G 2018, 'Wake-model effects on induced drag prediction of staggered boxwings', Aerospace, vol. 5, no. 1, pp. 1-15.


Document type: Journal Article
Collection: Journal Articles

Title Wake-model effects on induced drag prediction of staggered boxwings
Author(s) Schirra, J
Bissonnette, W
Bramesfeld, G
Year 2018
Journal name Aerospace
Volume number 5
Issue number 1
Start page 1
End page 15
Total pages 15
Publisher M D P I AG
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.
Subject Aircraft Performance and Flight Control Systems
Keyword(s) Boxwing
Induced drag
Potential-flow theory
Wake-model
DOI - identifier 10.3390/aerospace5010014
Copyright notice © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
ISSN 2226-4310
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