Hostname: page-component-89b8bd64d-shngb Total loading time: 0 Render date: 2026-05-07T00:34:07.643Z Has data issue: false hasContentIssue false

Fundamental considerations in the design and performance assessment of propulsive fuselage aircraft concepts

Published online by Cambridge University Press:  28 November 2024

N.G.M. Moirou*
Affiliation:
Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedfordshire, UK
N.E. Mutangara
Affiliation:
Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedfordshire, UK
D.S. Sanders
Affiliation:
Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedfordshire, UK
*
Corresponding author: Nicolas G.M. Moirou; Email: nicolas.g.moirou@cranfield.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Propulsive fuselage aircraft complement the two under-wing turbofans of current aircraft with an embedded propulsion system within the airframe to ingest the energy-rich fuselage boundary layer. The key design features of this embedding are examined and related to an aero-propulsive performance assessment undertaken in the absolute reference frame which is believed to best evaluate these effects with intuitive physics-based interpretations. First, this study completes previous investigations on the potential for energy recovery for different fuselage slenderness ratios to characterise the aerodynamics sensitivity to morphed fuselage-tail design changes and potential performance before integrating fully circumferential propulsors. Its installation design space is then explored with macro design parameters (position, size and operating conditions) where an optimum suggests up to 11% fuel savings during cruise and up to 16% when introducing compact nacelles and re-scaling of the under-wing turbofans. Overall, this work provides valuable insights for designers and aerodynamicists on the potential performance of their concepts to meet the environmental targets of future aircraft.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society
Figure 0

Figure 1. Schematic of the reference aircraft’s bare fuselage approximation with an ellipsoidal nose and conic tail from an Airbus A321, from Ref. [12].

Figure 1

Figure 2. Grid of the bullet-shaped domain encapsulating the fuselage, grid close to the fuselage wall, and schematic of the domain, boundary conditions and analysis control volume.

Figure 2

Figure 3. 2D axi-symmetric nose modelling of an A321 side- and top-view contours and elliptical approximations of different fineness ratios.

Figure 3

Figure 4. 2D and 3D axi-symmetric boundary layer parameters at cut planes around the fuselage tail, inspired from Ref. [16].

Figure 4

Figure 5. 3D axi-symmetric boundary-layer area (top), displacement area, momentum area and kinetic energy area (left) and wake energy-flux transfers and potential for energy recovery (right) for five different nose shapes at FL350 and ${M_{\rm{B}}} = 0.82$.

Figure 5

Figure 6. 3D axi-symmetric boundary-layer area (top), displacement area, momentum area and kinetic energy area (left) and wake energy-flux transfers and potential for energy recovery (right) for Mach numbers between 0.65 and 0.82 on the hemispherical nose approximation.

Figure 6

Figure 7. Tail morphing sequence from its reference (– –) to its morphed shape (—), from Ref. [12].

Figure 7

Figure 8. 2D axi-symmetric modelling of conic tail-cones of different lengths, and a morphed tail (dashed) derived from L2.

Figure 8

Figure 9. 3D axi-symmetric boundary-layer area (top), kinetic energy area (left) and potential for energy recovery from Equation (6c) (right) for the four conic tails of different lengths and a morphed derivative at FL350 and ${M_{\rm{B}}} = 0.82$.

Figure 9

Figure 10. Comparison of the potential for energy recovery refinement definitions on the different tails from Figure 8 at the fuselage trailing edge, with the PER value of the present study (Equation (6d)) on the tail L2 given in a dashed line for ease of comparison.

Figure 10

Figure 11. Energy decomposition and their evolution along the fuselage surface and in the mid-field wake.

Figure 11

Figure 12. Distribution of mass-flow averaged Mach numbers at the slopes’ end-points with respect to different inclination angles, with 3 identified designs for later use, relative to a threshold of 90% of the Mach number target.

Figure 12

Figure 13. Computed Mach number contours around the three designs identified in Fig. 12.

Figure 13

Figure 14. Schematic of two morphed fuselages for ${L_{{\rm{slope}}}}/{L_{{\rm{tail}}}} = 0.4$ and $0.5$, and s${R_{{\rm{huba}}}}/{R_{{\rm{fus}}}} = 0.6$ and $0.4$, respectively, in grey and yellow with $\bigcirc$.

Figure 14

Figure 15. Potential for energy recovery with respect to the different slope lengths and hub radii given in Fig. 14.

Figure 15

Figure 16. Schematic of an axi-symmetric fuselage with a thruster at its tail featuring a pre-diffusive slope, propulsor intake, cowl, exhaust, and aft-cone, from Ref. [12].

Figure 16

Figure 17. Schematic of an integrated propulsor (—) at ${L_{{\rm{slope}}}}/{L_{{\rm{tail}}}} = 0.5$ and ${R_{{\rm{hub}}}}/{R_{{\rm{fus}}}} = 0.4$ ingesting 60% of the mass-flow present in the boundary layer, as denoted with ${\bigcirc}$, from its morphed fuselage (– –) in Fig. 14.

Figure 17

Figure 18. Comparison of normal static pressure (a) for a propulsor ingesting only the sub-viscous layer (—) and (b) for a propulsor ingesting the entire boundary layer (—), and comparison of (c) pressure coefficients and (d) velocity profiles along the fuselage slopes between the morphed and the ducted geometries at the same position (Fig. 17) from the propulsor highlight axial position. Integration effects upstream are reported as fractions of the propulsors highlight radii.

Figure 18

Figure 19. Overall performance of a propulsive fuselage concept for various BLI propulsor positions along the aircraft tail, with symbols following Fig. 17 convention.

Figure 19

Figure 20. Computed contour map of a propulsive fuselage concept overall performance for various BLI propulsor positions along the aircraft tail.

Figure 20

Figure 21. Computed contour maps of a propulsive fuselage concept overall performance for various BLI propulsor operating conditions at two different positions along the tail.

Figure 21

Figure 22. Normalised distribution of the total pressure along the fan span for the small propulsor $R1$ (left) and large propulsor $R2$ (right) under two fan pressure ratio and three intake lengths.

Figure 22

Table 1. Radial distortion indices for two propulsor’s intake dimensions and two fan pressure ratios

Figure 23

Figure 23. Contours of entropy around large propulsors ($R2$) ingesting the entire boundary layer under fan pressure ratios of (a) 1.20 and (b) 1.50 for two intake/nacelle/plug-cone length combinations.

Figure 24

Table 2. Comparison of fuel saving coefficients (FSC) in percent between the baseline retrofit and the re-scaled turbofans of Concept A: ${L_{{\rm{slope}}}}/{L_{{\rm{tail}}}} = 0.5$, ${R_{{\rm{hub}}}}/{R_{{\rm{fus}}}} = 0.4$, ${\rm{BLR}} = 44.0{\rm{\% }}$, and ${\rm{FPR}} = 1.30$, and Concept B: ${L_{{\rm{slope}}}}/{L_{{\rm{tail}}}} = 0.6$, ${R_{{\rm{hub}}}}/{R_{{\rm{fus}}}} = 0.3$, ${\rm{BLR}} = 42.8{\rm{\% }}$, and ${\rm{FPR}} = 1.29$, relative to existing projects (with * denoting assumed values)