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Grid information. Grid Number of Nodes Average Off-Wall Spacing Average y +

Grid information. Grid Number of Nodes Average Off-Wall Spacing Average y +

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Context 1
... particular, we are interested in the ratio between friction and pressure drag, and hence size the optimization grid such that this ratio is as close to the grid converged value as possible. An overview of the grids is provided in Table 1. The off-wall spacings in wall units, y + , are based on the flow solutions of the optimized geometries. ...

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... The fin and the unnecessary fuselage length extension lead to a significant wetted area and friction drag penalties, which hinder the induced drag benefits of the concept. Given Prandtl plane concepts are of particular interest for green transport aviation, most recent studies are dedicated to stability issues of large box-wing aircraft concepts [9][10][11][12][13], with extremely few articles about light box-wings. ...
... However, directional stability details are missing in this concept due to it being equipped with a conventional twin tail with large vertical surfaces that ensures enough stability margin at the cost of a significant wetted area. As can be noted from most recent studies [9][10][11][12][13][14][15][16][17][18], longitudinal stability of box-planes has been studied very thoroughly, in particular for heavy transport mission profile at transonic speeds. There is, however, a significant knowledge gap concerning directional stability, especially for a light subsonic box-wing lacking a conventional fin. ...
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This study aimed to explore the directional stability issues of a previously studied light box-wing aircraft model with a pusher propeller engine in the fuselage aft section. Earlier configurations have included the use of fuselage together with a lifting system consisting of two wings joined together at their wingtips with vertical stabilizers. However, these side vertical surfaces failed to provide the aircraft with sufficient directional stability, thus prompting the quest in this study for novel solutions that would exclude the need for a fuselage extension and a typical fin. Solutions included the use of a ducted propeller and few configurations of small "fishtail" vertical fins, which formed part of the aft fuselage itself and coupled with vortex generators on the fuselage surface to improve their interference and heal flow separation at the fuselage aft cone. The results of wind tunnel testing were supported with CFD simulations to explain the flow behavior of each of the studied solutions. Tuft visualization and computed flow patterns allowed identification of the sources of the observed low efficiency in terms of directional stability of the fishtail against a simple idle duct without a propeller. A final configuration with a duct and a modified version of the fuselage fins was achieved that provides enough yaw stability margins for a safe flight.
... In this case, for a fixed lift coefficient, the viscous drag of a box-wing is 26% higher than the one of the elliptical wing, whereas a benefit of 46% in terms of induced drag is obtained. This result is in line with previous aerodynamic shape optimization studies of box-wings, in which Euler-based [14,15] and RANS-based [16] approaches have been implemented to minimize drag considering prescribed design variables and constraints. In both cases, the box-wings were able to redistribute the total lift from one wing to the other, satisfying several design constraints, while simultaneously improving aerodynamic performance. ...
... In this case, the fore and aft wings are characterized by wash-out (i.e., decreasing the incidence angle from the wing root out to the wing tip) and wash-in (i.e., increasing the incidence angle from the root to the tip), respectively. The optimized results are consistent with those of past studies and with theoretical results, providing a reliable estimate of the performance of the BW aircraft [14,16]. Figures 10 and 11 illustrate the surface pressure contours and pressure distributions, respectively, across the vertical wing. ...
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This paper presents an exploration of the aerodynamic design of a box-wing aircraft concept through high-fidelity aerodynamic shape optimization. The optimization framework consists of B-spline parameterization surfaces, an integrated mesh parameterization and deformation scheme based on the theory of linear elasticity , free-form and axial deformation geometry control, a Newton-Krylov-Schur flow solver for the Reynolds-averaged Navier-Stokes equations, a gradient-based optimizer, and the discrete-adjoint method for gradient evaluation. These modules are integrated in an aerodynamic shape optimization framework called Jetstream, which is used to minimize the cruise drag of a single-aisle, medium range box-wing aircraft at transonic flight conditions (Mach = 0.78) with lift, trim, and minimum wing volume constraints. The drag of the optimized box-wing configuration is about 10% lower than the initial concept due to reduced wave drag from the near elimination of shocks and reduced induced drag from an optimal spanwise lift distribution. These results demonstrate the potential aerodynamic advantages of the box-wing concept, and the importance of high-fidelity analysis and optimization tools towards the development and evaluation of novel configurations that can lead to reduced fuel burn and emissions.
... From the point of view of academic projects, many authors have used low-fidelity [22][23][24]26], medium fidelity [27,28] and high-fidelity [29,30] methodologies to compare the aerodynamic benefits of BW configurations against CTW designs. Despite their obvious differences, mainly regarding aerodynamic modeling and optimization algorithms, the studies have offered useful insight into the basic patterns and trade-offs of the large-scale geometric parameters of a BW design. ...
... For the BW case, sweep values ( Λ ) are determined by the stagger variation so that the fore wing has an aft-swept and the aft wing has a forward-swept while keeping their tips aligned, i.e., the vertical tip fin [3] has zero cant angle. Since the sweep angle has a significant Previous studies on BW concepts have shown the Lift-to-Drag (L/D) ratio improves when height-to-span and staggerto-span ratios increase [16,28,30]. Therefore, the fore wing leading edge station was chosen as a design variable, enabling the BW concept to be compatible with both the fuselage length of the reference aircraft and the current airport infrastructure. ...
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... The fin and the unnecessary fuselage length extension lead to a significant wetted area and friction drag penalties, which hinder the induced drag benefits of the concept. Given Prandtl plane concepts are of particular interest for green transport aviation, most recent studies are dedicated to stability issues of large box-wing aircraft concepts [9][10][11][12][13], with extremely few articles about light box-wings. ...
... However, directional stability details are missing in this concept due to it being equipped with a conventional twin tail with large vertical surfaces that ensures enough stability margin at the cost of a significant wetted area. As can be noted from most recent studies [9][10][11][12][13][14][15][16][17][18], longitudinal stability of box-planes has been studied very thoroughly, in particular for heavy transport mission profile at transonic speeds. There is, however, a significant knowledge gap concerning directional stability, especially for a light subsonic box-wing lacking a conventional fin. ...
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This study aimed to explore the directional stability issues of a previously studied light box-wing aircraft model with a pusher propeller engine in the fuselage aft section. Earlier configurations have included the use of fuselage together with a lifting system consisting of two wings joined together at their wingtips with vertical stabilizers. However, these side vertical surfaces failed to provide the aircraft with sufficient directional stability, thus prompting the quest in this study for novel solutions that would exclude the need for a fuselage extension and a typical fin. Solutions included the use of a ducted propeller and few configurations of small “fishtail” vertical fins, which formed part of the aft fuselage itself and coupled with vortex generators on the fuselage surface to improve their interference and heal flow separation at the fuselage aft cone. The results of wind tunnel testing were supported with CFD simulations to explain the flow behavior of each of the studied solutions. Tuft visualization and computed flow patterns allowed identification of the sources of the observed low efficiency in terms of directional stability of the fishtail against a simple idle duct without a propeller. A final configuration with a duct and a modified version of the fuselage fins was achieved that provides enough yaw stability margins for a safe flight.
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... Exploratory design may be considered as a third class of problem or as a subcategory within preliminary design, combining large geometric flexibility with often unknown design spaces, and searching for novel designs. Common examples of exploratory optimization include the study of hybrid wing body (HWB) geometries [3,12], box-wing aircraft [13] or other unconventional designs. In preliminary or exploratory design, aerodynamic shape optimization is often combined with other disciplines as in multidisciplinary optimization. ...
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... An induced drag evaluation in compressible flow at M ∞ 0.5 was performed in Ref. [14], where the optimal shape of the Box Wing was presented and Euler equations were numerically solved. In Ref. [16], the investigation was further refined by performing an aerodynamic shape optimization of a Box-Wing system for regional aircraft applications. Compressibility effects were included at M ∞ 0.78, and Reynolds-averaged Navier-Stokes equations were considered. ...
... The result indicated that the increase of vertical aspect ratio was preferred by the optimizer, which is a property found also in Ref. [8] for the incompressible inviscid case. Thus, the study [16] was an indirect proof that induced drag is one of the key aspects of the Box Wing for flight conditions well beyond the original ones adopted by Prandtl in 1924 [3], when he first introduced this concept. This is the main technical point addressed by the present contribution: the goal is to precisely assess the relative importance of the different drag components, and it will even go forward to demonstrate that the theoretical predictions made in Ref. [8] for incompressible and inviscid flow can actually be directly applied to the most general compressible and even transonic regimes. ...
... At M ∞ 0 (incompressible case), Eqs. (15)(16)(17) have been used with F rev given by Eq. (12) and F irr by Eq. (13). At M ∞ 0.3 (subsonic case), the aerodynamic force breakdown has been provided by Eqs. ...
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Prandtl introduced the best wing system or Box Wing a century ago and showed its exceptional lift-induced drag performance with respect to wing systems having the same wingspan and lift (Prandtl, L., “Induced Drag of Multiplanes,” NACA TN-182, 1924.). In this work, and for the first time, their superior induced drag properties are verified in compressible and transonic regimes. The aerodynamic forces are obtained by analyzing computational fluid dynamics data, and the drag is subdivided in induced, viscous, and wave contributions. This decomposition is provided by a recently introduced aerodynamic force breakdown technique based on the vortex-force theory and allows an unambiguous definition of the lift-induced drag. The methodology is applicable to incompressible, compressible, and transonic flows. This paper will address whether the Best Wing system provides interesting induced drag performance also in transonic viscous flow.
... The current literature features many box wing aerodynamic studies using simulation, analytical and parametric methods [7][8][9][10]. Research has shed light on the aerodynamic benefits of the box-wing design. ...
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... In [43,44], the authors reported developing a strategy that used non-interactive and interactive techniques, respectively, to formulate the design problem and improve the optimisation speed. To deliver a sufficient level of fidelity to the DM at very fast computational times, the low fidelity flow solver Athena Vortex Lattice (AVL) was used to capture the physics of the problem [45][46][47][48]. Improving the ability of the developed method to accelerate the search while retaining all the useful information in the design space was the main area of work. ...
... The flow solver used to evaluate worthwhile solutions is the Athena Vortex Lattice (AVL) [51,52]. Many codes utilize Vortex Lattice Method (VLM) for aerodynamic characteristics calculations, but AVL is the most well-known and provides the most accurate and efficient results when compared with other aerodynamic analysis software employing the same method [45][46][47][48]52]. In addition, AVL code is easy to use and capable of manipulating a large number of design parameters within a short computational time and limited cost. ...
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This article presents an optimisation framework that uses stochastic multi-objective optimisation, combined with an Artificial Neural Network (ANN), and describes its application to the aerodynamic design of aircraft shapes. The framework uses the Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm and the obtained results confirm that the proposed technique provides highly optimal solutions in less computational time than other approaches to the same design problem. The main idea was to focus computational effort on worthwhile design solutions rather than exploring and evaluating all possible solutions in the design space. It is shown that the number of valid solutions obtained using ANN-MOPSO compared to MOPSO for 3000 evaluations grew from 529 to 1006 (90% improvement) with a penalty of only 8.3% (11 min) in computational time. It is demonstrated that including an ANN, the ANN-MOPSO with 3000 evaluations produced a larger number of valid solutions than the MOPSO with 5500 evaluations, and in 33% less computational time (64 min). This is taken as confirmation of the potential power of ANNs when applied to this type of design problem.