AERO4260: Semester 1, 2022

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Units AERO4260 Semester 1 2022 [Normal day]

Unit outline_

AERO4260: Aerodynamics 2

Semester 1, 2022 [Normal day] - Remote

Overview

This unit aims to introduce students to: elementary and advanced topics in Gasdynamics (High Speed Flows). Course content will include review of Equations of Gasdynamics, One-Dimensional Gas Flow, Isentropic Flows, Normal Shock, Flow in a Converging and Converging-Diverging Nozzle, Steady Two-dimensional Supersonic Flow, Shock waves (Normal and Oblique), Method of Characteristics, Two-dimensional Supersonic Aerofoils, Introduction to Three Dimensional Effects, Unsteady Flows, Moving Shocks, Shock Tube Flow and Transonic Flow and Compressible Boundary Layers, introduction to turbulent flows. At the end of this unit the student will be able to calculate a high speed flow about an aerofoil and compressible flow through a duct of varying cross-section and will have a good appreciation of Transonic and Hypersonic Flows.

Unit details and rules

Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	6
Prerequisites ?	AMME2200 or AMME2261
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Ben Thornber, ben.thornber@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Take-home short release)	Final exam Type D Exam	60%	Formal exam period	1.5 hours
Outcomes assessed:
Assignment	Distributed assignment Single analytical question set each Friday and hand in on Monday.	10%	Multiple weeks	n/a
Outcomes assessed:
Assignment	Assignment Individual assignment with analytical and numerical design tasks	30%	Week 12	8 weeks
Outcomes assessed:
= Type D final exam ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Multiple weeks	6.5 hours of independent study per week required to keep up to speed with lecture material and tutorial questions.	Independent study (84.5 hr)
Week 01	Introduction. Thermodynamics	Online class (2 hr)
Week 02	Governing equations, steady form	Lecture and tutorial (4 hr)
Week 03	Isentropic relations, nozzle flows	Lecture and tutorial (4 hr)
Week 04	Rayleigh and Fanno Flows	Lecture and tutorial (4 hr)
Week 05	Normal shock/oblique shocks	Lecture and tutorial (4 hr)
Week 06	Shock reflections/Prandtl-Meyer deflection	Lecture and tutorial (4 hr)
Week 07	Supersonic airfoils and intakes	Lecture and tutorial (4 hr)
Week 08	Characteristic theory - linear advection and Euler	Lecture and tutorial (4 hr)
Week 09	Shock tube solutions	Lecture and tutorial (4 hr)
Week 10	1. Introduction to hypersonics; 2. Introduction to CFD	Lecture and tutorial (4 hr)
Week 11	CFD for compressible flows - fundamentals of discretisation	Lecture and tutorial (4 hr)
Week 12	CFD: numerical methods	Lecture and tutorial (4 hr)
Week 13	CFD for compressible flows: higher-order accuracy	Lecture and tutorial (4 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. defend a specific choice of CFD method to compute a high speed flow
LO2. synthesise available information to determine which analytical approach and CFD method to apply in the analysis and optimisation of ducts, nozzles, intakes or aerofoils
LO3. describe qualitatively and evaluate a compressible flow through a duct of varying cross section, including the exiting plume, with or without heat addition or subtraction. Qualitatively describe duct flow with friction.
LO4. Derive and apply steady and unsteady isentropic flow analysis and application to one and two dimensional rarefactions. Understand assumptions and articulate the limitations.
LO5. Classify the three fundamental wave types present in compressible fluids. Understand the formation of a shock wave and how to compute post-shock properties of normal and oblique waves.
LO6. Understand and apply the fundamentals of numerical analysis, including stability, accuracy and convergence for upwind discretisations of the one dimensional linear advection equations. Appreciate the application of the method to second order in space and time schemes to solve the Euler equations.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

1. I will fill in the gaps in the lecture notes 2. Improve the ANSYS Fluent material 3. Include more example questions in the lectures.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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