Version  1.0 
Unit Name  ADVANCED FLUID DYNAMICS 
Unit Code  MME506A 
Unit Duration  1 Term (online) or 1 Semester (oncampus) 
Award 
Graduate Diploma of Engineering (Mechanical) Master of Engineering (Mechanical) 
Year Level  One 
Unit Coordinator MME Course Coordinator 
Mr. Vijay Kumar Veera Dr Milind Siddhpura 
Stream/ Common/ Elective:  Stream 
Pre/Corequisites  None 
Credit Points 
3 Grad Dip total course credit points = 24 Masters total course credit points = 48 
Mode of Delivery  Online or oncampus. 
Unit Workload 
10 hours per week: Lecture  1 hour Tutorial Lecture  1 hours Practical / Lab  1 hour (where applicable) Personal Study recommended  7 hours (guided and unguided) 
Unit Description and General Aims
This unit will serve as an advanced course in Fluid Dynamics. Students are introduced to classical fluid mechanics and taught the application of continuity and Bernoulli's Equation. This is followed by a derivation of the Navier Stokes equation and its application in solving problems involving fluid dynamics.
The unit will then focus on Computational Fluid Dynamics (CFD) stressing its advantages and applications in solving realworld problems. Students will be given an opportunity to work and formulate the models necessary to study, analyse, and design fluid systems through the application of these concepts, and to develop the problemsolving skills essential to good engineering practice of fluid dynamics in practical realworld applications.
Learning Outcomes
On successful completion of this Unit, students are expected to be able to:
 Determine the governing equations for fluid flow using best practice and use them as guidelines to make judgements on fluid mechanic problems.
 Bloom’s Level 5
 Develop a physical and conceptual understanding of NavierStokes Equations and construct appropriate boundary conditions for predicting turbulent fluid flow behaviour.
 Bloom’s Level 6
 Determine practical application of CFD in industrial systems and other technologies
 Bloom’s Level 5
 Formulate discretization techniques to solve Fluid dynamic transport equations to synthesise solutions for fluid flow problems using CFD and compare with experimental data.
 Bloom’s Level 6
 Evaluate a CFD solution to determine relationships between key parameters to evaluate a physical design and make recommendations to achieve required design criteria.
 Bloom’s Level 5
Student assessment
Assessment Type 
When assessed (e.g. Week 5) 
Weighting (% of total unit marks) 
Learning Outcomes Assessed 
Assessment 1 Type: Weekly Quizzes Description: Students will need to complete multiplechoice quiz questions to demonstrate a good understanding of the fundamental concepts. Topics covered: 211 
Weekly 
10% 
All 
Assessment 2 Type: Practical (Report) and Demonstration Description: Simulations using software in Remote labs. Fluid Dynamics simulation or case study. Topics covered: 16 
After Topic 6 
25% 
15 
Assessment 3 Type: Test (Invigilated) Description: Students will need to answer some short and/or long answer questions and/or solve some numerical problems. Topics covered: 19 
During Topic/Week 10 
25% 
3, 4 
Assessment 4 Type: Research (Report) and Presentation Description: Fluid Dynamics Problem/Project from Industry demonstrating the formulation of a problem based on fluid dynamics concepts and applying the theory and concepts learned to obtain a solution either theoretically or numerically through use of CFD software packages such as OpenFOAM, NASA OVERFLOW, or HiFUN. Word length: 3000, excluding diagrams and references. Topic example: Indoor Airflow Distribution in a Room. A room with an air inlet and an outlet with air passing over room partitions. Topics covered: All 
Final Week 
35% 
1 5 
Attendance / Tutorial Participation Description: Presentation, discussion, group work, exercises, selfassessment/reflection, case study analysis, application. 
Continuous 
5% 
15 
Prescribed and Recommended readings
Suggested Textbook
 J. Tu, G. H. Yeoh, and C. Liu, Computational Fluid Dynamics  A Practical Approach, 3rd Edition, ButterworthHeinemann, 2018  ISBN: 9780081011270
Reference Materials
 F. M. White, Fluid Mechanics, 8th ed. McGrawHill, 2015.
 I. H. Herron and M. R. Foster, Partial Differential Equations in Fluid Dynamics, 2008
Unit Content
One topic is delivered per contact week
Topic 1
Introduction to Fluid Dynamics
 Introduction to Computational Fluid Dynamics
 Advantages of Computational Fluid Dynamics
 Applications of Computational Fluid Dynamics
Topic 2
Introduction to Fluid Dynamics
 The Future of Computational Fluid Dynamics
 Gas Dynamics of subsonic, transonic and supersonic flows.
 Introduction to Basic Equations of fluid dynamics
Topic 3
Governing Partial Differential Equations for CFD Part 1
 The Continuity Equation
 The Momentum Equation
 The Energy Equation
Topic 4
Governing Partial Differential Equations for CFD Part 2
 The Additional Equations for Turbulent Flow
 Generic Form of NavierStokes Equations
 Boundary Conditions for Governing Equations
Topic 5
CFD Techniques Part 1: Discretization of Governing Equations
 Finite Difference Method
 Finite Volume Method
 Spectral Method
Topic 6
CFD Techniques Part 2: Converting Governing Equations to Algebraic equations systems
 Steady State Diffusion Equation
 Steady State ConvectionDiffusion Equation
 Unsteady State ConvectionDiffusion Equation
Topic 7
CFD Solution Procedure Part 1
 Introduction
 Problem Setup PreProcess
Topic 8
CFD Solution Procedure Part 2
 Numerical Solution CFDSolver
 Result Report and Visualization PostProcess
Topic 9
CFD Solution Analysis Essentials Part 1
 Introduction
 Consistency
 Stability
 Convergence
Topic 10
CFD Solution Analysis Essentials Part 2
 Convergence, Continued
 Accuracy
 Efficiency
Topic 11
CFD Project Guide
 Introduction
 Geometry and Computational Domain
 Mesh Generation
 Solver Configuration
 Results Generation
Topic 12
Unit Review
 Introduction to Fluid Dynamics
 CFD Solution Procedure
 Governing Partial Differential Equations for CFD
 CFD Techniques
 CFD Solution Analysis Essentials
 CFD Software: ANSYS Academic
 Further Reading in CFD
 Recent trends and future scopes
Engineers Australia
The Australian Engineering Stage 1 Competency Standards for the Professional Engineer, approved as of 2013. This table is referenced in the mapping of graduate attributes to learning outcomes and via the learning outcomes to student assessment.
Stage 1 Competencies and Elements Competency 

1. 
Knowledge and Skill Base 
1.1 
Comprehensive, theorybased understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. 
1.2 
Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. 
1.3 
Indepth understanding of specialist bodies of knowledge within the engineering discipline. 
1.4 
Discernment of knowledge development and research directions within the engineering discipline. 
1.5 
Knowledge of engineering design practice and contextual factors impacting the engineering discipline. 
1.6 
Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. 
2. 
Engineering Application Ability 
2.1 
Application of established engineering methods to complex engineering problem solving. 
2.2 
Fluent application of engineering techniques, tools, and resources. 
2.3 
Application of systematic engineering synthesis and design processes. 
2.4 
Application of systematic approaches to the conduct and management of engineering projects. 
3. 
Professional and Personal Attributes 
3.1 
Ethical conduct and professional accountability. 
3.2 
Effective oral and written communication in professional and lay domains. 
3.3 
Creative, innovative, and proactive demeanour. 
3.4 
Professional use and management of information. 
3.5 
Orderly management of self and professional conduct. 
3.6 
Effective team membership and team leadership. 
Software/Hardware Used
Software
 Software: ANSYS SpaceClaim, ANSYS Meshing and ANSYS Fluent
 Version: 2023 R1
 Instructions: N/A
 Additional resources or files: N/A
Hardware
 N/A
Unit Changes Based on Student Feedback
 The due dates of unit assessments were spaced out, which alleviated student stress and provided sufficient time to work on assessments of various units in each semester.
 Assessment 1 was converted from a traditional invigilated assessment to a more manageable ‘Weekly quizzes’ format.