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Unit of study_
AERO5200: Advanced Aerodynamics
2023 unit information
Objectives/Expected Outcomes: To develop a specialist knowledge in the fields of computational, non-linear and unsteady aerodynamics. The develop familiarity with the techniques for predicting airflow/structure interactions for aerospace vehicles. Syllabus Summary: Advanced two and three dimensional panel method techniques; calculation of oscillatory flow results; prediction of aerodynamic derivatives. Pressure distributions for complete aircraft configuration. Unsteady subsonic flow analysis of aircraft; calculation of structural modes. Structural response to gusts; aeroelasticity; flutter and divergence. Solution of aerospace flow problems using finite element methods. Unsteady supersonic one-dimensional flow. Hypersonic flow; real gas effects. Introduction to the use of CFD for transonic flow.
Unit details and rules
Managing faculty or University school:
Aerospace, Mechanical and Mechatronic
| Code | AERO5200 |
|---|---|
| Academic unit | Aerospace, Mechanical and Mechatronic |
| Credit points | 6 |
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Prerequisites:
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AERO3260 or AERO8260 or AERO9260 or equivalent study at another institution |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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BE in the area of Aerospace Engineering or related Engineering field |
At the completion of this unit, you should be able to:
- LO1. understand the limitations of theory and the effect of second-order parameters (Reynolds number, Mach Number) to the primary fluid-flow properties
- LO2. construct simple computer algorithms that will allow more complex geometries to be solved and determine the best approach from survey of existing methods
- LO3. predict flow properties for general aircraft wing sections to obtain lift, drag and pitching moment
- LO4. extrapolate section results to predict unsteady flow effects and three-dimensional wing behaviour
- LO5. demonstrate an improved understanding of the use of software packages to solve fluid flow problems
- LO6. undertake experiments and analyse data to verify theoretical predictions.
Unit availability
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Modes of attendance (MoA)
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Important enrolment information
Departmental permission requirements
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