Aircraft Performance, Propulsion and Wing – Key Vocabulary
Aims and Objectives
- Aim: Introduce the basics of flight within Aircraft Performance, Propulsion and Wing (AE2111).
- Objectives
• Establish deeper understanding of aircraft performance.
• Further introduce aircraft propulsion knowledge.
• Develop broader understanding of wings and airfoils.
Learning Outcomes
- Apply fundamental principles of fluid flow to solve simple problems.
- Apply flight-mechanic & aerodynamic principles to estimate aircraft performance.
- Describe boundary-layer flow characteristics over a wing.
- Describe & perform calculations in transonic and supersonic flows.
Teaching Arrangement & Weekly Topics
- 30 Jan Introduction & Cruise Performance
- 06 Feb Range Calculation
- 13 Feb Drag Estimation
- 20 Feb Take-Off Performance
- 27 Feb Aircraft Propulsion
- 05 Mar Propellers
- 12 Mar Airfoils
- 19 Mar Wing Aerodynamic Performance
- 26 Mar Longitudinal Stability & Control
- 16 Apr Reading Week (incl. Flying)
- 23 Apr Airworthiness
- 30 Apr Revision
Assessment Overview
- Coursework (30 %) – shared with other module parts; within this part: 15 % Drag-calculation assignment.
- Exam (70 %) – explanation, discussion & calculation questions.
Introduction: What Is Aircraft Performance?
- Concerned with extreme quantities of translational motion of the aircraft CG that govern operational & economic use.
- Typical outputs:
• Flight envelope (min/max ).
• Range & endurance.
• Climb/Descent, Cruise, Turning, Take-off & Landing performance.
Aircraft Performance Analysis – Sub-Domains
- Mathematical modelling (3-DOF point-mass EoM, environment, aero, engine, systems).
- Analytical calculations.
- Non-linear desktop simulation for complex/dangerous manoeuvres.
- Flight-test validation.
Key Performance Parameters
- Speeds: .
- Range (Bréguet).
- Endurance (Loiter).
- ratio.
- Loading factor .
- Thrust-to-weight .
- Wing loading .
Equations of Motion (Point-Mass 1-D Example)
- Newton’s 2nd law: .
• Forces: (steady level).
• If constant → .
• Velocity: . • Position: .
Thrust–Velocity Curves
- Derived from drag polar by equating in steady level flight.
- Curve indicates thrust required & excess thrust across range.
Phase Mission Profile (Range & Endurance)
0–1 Engine start → 1–2 Taxi → 2–3 Take-off → 3–4 Climb → 4–5 Cruise → 5–6 Loiter → 6–7 Descent → 7–8 Divert → 8–9 Land/Shutdown.
V–n & Gust Diagram Basics
- Defines structural/operational envelope (limit load factors vs. airspeed).
- Includes design-gust lines, flap-down limits, dive speed , manoeuvre speed .
Cruise Performance Topics
- Recap aerodynamics (drag polar).
- Specific range & fuel flow for turbofan vs. propeller.
- Optimisation with compressibility & wind effects.
Aerodynamic Fundamentals Recap
- Lift: .
- Drag: .
- Drag polar: with .
- Minimum occurs at but flight impossible → examine instead.
Zero-Lift Drag
- Dominated by skin-friction & form drag.
- Typical values: to .
- Depends on wetted-area/wing-area ratio (≈2 for flying wing, 5–6 for transport).
- Reduction methods: better streamlining or lower wetted-area ratio.
Induced Drag Coefficient & Minimum
- .
- To reduce : raise aspect ratio or achieve elliptic lift distribution ().
- Ratio .
- Minimum occurs at giving .
- Same independent of altitude ⇒ same minimum , but corresponding speed increases with altitude because .
Example: Drag vs. Airspeed at Multiple Altitudes
- Given: .
- Procedure:
• Choose speed grid, compute . • Evaluate via polar, then . - Result: curves shift rightward with altitude; minimum-drag speed higher aloft.
Fuel Flow Models
- Turbofan: .
- Propeller: , with prop efficiency ⇒ .
Minimum Fuel Flow (Maximum Endurance) Speed
Turbofan:
- Occurs at minimum drag speed.
- , .
- Slightly lower at high altitude since sfc drops.
Propeller: - Fuel proportional to power ⇒ graph power vs. .
- Minimum power occurs at .
- ; rises with altitude.
- Aircraft is speed-unstable near (drag decreases when speeding up).
Specific Range (SR)
- Definition (instantaneous): .
- Turbofan analytic form in cruise (steady): (for unit weight loss).
- Classic Bréguet Range: .
Graphical Optimisation of SR
- Plot thrust-required (drag) curve.
- Draw rays from origin; slope .
- Tangency point gives max SR.
- Increasing altitude: curve shifts; optimal grows, SR improves due to lower sfc & higher product .
Spreadsheet Optimisation Example
- Given: .
- Sea-level optimal ; at 10 km optimal with higher SR.
Analytical Optimisation Result
- Substitute and into SR; differentiate.
- Maximum SR for turbofan occurs at (same as max ).
- Speed follows from lift equation.
Propeller Aircraft – SR Characteristics
- .
- Max SR independent of altitude; governed by same as minimum drag (not power).
- Graphical: draw rays from origin on power-required curve.
Compressibility Effects (High-Subsonic & Transonic)
- Above : drag polar depends on Mach: .
- Optimisation now seeks max rather than .
- Plot vs. to pick optimal Mach/ combination.
M(L/D) Optimisation & Step-Climb Logic
- In stratosphere, speed of sound nearly constant with altitude ⇒ fixed Mach implies fixed TAS.
- To keep optimal while weight drops, aircraft climbs (step climbs) maintaining Mach; may be ATC-constrained.
- Available thrust limits high-altitude operation especially post-engine failure.
Wind Effects
- Distinguish airspeed and ground speed (tailwind positive).
- Specific range with wind: .
- Tailwind ⇒ higher SR & lower optimum ; headwind opposite.
Drag-Characteristics “Three Speeds” (Level Flight)
- Minimum power speed (prop focus).
- Minimum drag speed (turbofan endurance).
- Max speed (gives max range for given sfc).
- Designers balance these according to mission.
Recap – Core Formulae
- Drag polar: .
- Induced-drag factor: .
- Lift & Drag: .
- Min : .
- Min power : .
- Prop efficiency: .
- Bréguet range: .
- Endurance: .
Ethical & Practical Considerations
- Efficient cruise reduces emissions & operating cost.
- Range/endurance predictions critical for safety (fuel reserves, diversion).
- High-altitude cruise must respect structural loads (V-n diagram) & thrust availability.
- Step-climb vs. ATC constraints illustrate trade-off between optimal performance and operational rules.