Last Updated S222020


Unit Code MME506
Unit Duration 1 Term (online) or 1 Semester (on-campus)

Graduate Diploma of Engineering (Mechanical)
Duration: 1 year

Master of Engineering (Mechanical)
Duration 2 years

Year Level 1st
Unit Creator / Reviewer Shailesh Vaidya & Vijay Kumar Veera / Dr Milind Siddhpura
Core/Elective: Core
Pre/Co-requisites None
Credit Points


Grad Dip total course credit points = 24
(3 credits x 8 (units))

Masters total course credit points = 48
(12 credits (Thesis) + 3 credits x 12 (units))

Mode of Delivery Online or on-campus. 
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. The topics covered in this unit include an introduction to basic fluid equations such as Bernoulli’s Equation and an introduction to partial differential equations in fluid dynamics i.e. Navier-Stokes Equations. Students will be introduced to the continuity equation, momentum equation, energy equation and formulations of problems and identifying boundary conditions, all considered at a master level. The unit will focus on computational fluid dynamics (CFD) stressing its advantages and applications in solving real-world 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 problem-solving skills essential to good engineering practice of fluid dynamics in practical real-world applications.

Learning Outcomes

On successful completion of this Unit, students are expected to be able to:

  1. Derive governing equations for fluid flow using best practice and use them as guidelines to make judgements on fluid mechanic problems.
    • Bloom’s Level 5
  2. Develop a strong physical and conceptual understanding of Navier-Stokes Equations and construct appropriate boundary conditions for predicting turbulent fluid flow behaviour.
    • Bloom’s Level 6
  3. Determine practical application of CFD in industrial systems and other technologies
    • Bloom’s Level 5
  4. Apply 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
  5. Construct 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 (e.g. Assignment - 2000 word essay (specify topic) Examination (specify length and format)) When assessed (e.g. Week 5) Weighting (% of total unit marks) Learning Outcomes Assessed

Assessment 1

Type: Multi-choice test (Proctored) / Group work / Short answer questions / Role Play / Self-Assessment / Presentation

Example Topic: Up to topic 5. Fundamental concepts of Fluid Dynamics.


Topic 4
15% 1, 2

Assessment 2 - mid-semester test

Type: Mid-semester test (Proctored) / Report / Research / Paper / Case Study / Site Visit / Problem analysis / Project / Professional recommendation

Example: Short/Long answers and Problems to solve

Topic example:  Formulation of a CFD Problem and obtaining a solution or all the topics up to topic 8.


Topic 8
25% 3, 4

Assessment 3

Type: Practical assessments, Remote labs, Simulation software or Case studies.

Example: Fluid Dynamics simulation or case study


Topic 11

20% 1- 5

Assessment 4

Type: Report (Final Project)

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: 4000

Topic example: Indoor Airflow Distribution in a Room. A room with an air inlet and an outlet with air passing over room partitions.   


Topic 12
35% 1- 5

Attendance / Tutorial Participation

Example: Presentation, discussion, group work, exercises, self-assessment/reflection, case study analysis, application.

Continuous 5% 1-5

Prescribed and Recommended readings

Suggested Textbook

  • J. Tu, G. H. Yeoh, and C. Liu, Computational Fluid Dynamics - A Practical Approach, 3rd Edition, Butterworth-Heinemann, 2018 - ISBN: 9780081011270

Reference Materials

  • F. M. White, Fluid Mechanics, 8th ed. McGraw-Hill, 2015.
  • I. H. Herron and M. R. Foster, Partial Differential Equations in Fluid Dynamics, 2008

Unit Content

One topic is delivered per contact week, with the exception of part-time 24-week units, where one topic is delivered every two weeks.


Topic 1

Introduction to Fluid Dynamics

  1. Introduction to Computational Fluid Dynamics
  2. Advantages of Computational Fluid Dynamics
  3. Applications of Computational Fluid Dynamics

Topic 2

Introduction to Fluid Dynamics

  1. The Future of Computational Fluid Dynamics
  2. Gas Dynamics of subsonic, transonic and supersonic flows.
  3. Introduction to Basic Equations of fluid dynamics

Topic 3

Governing Partial Differential Equations for CFD Part 1

  1. The Continuity Equation
  2. The Momentum Equation
  3. The Energy Equation

Topic 4

Governing Partial Differential Equations for CFD Part 2

  1. The Additional Equations for Turbulent Flow
  2. Generic Form of Navier-Stokes Equations
  3. Boundary Conditions for Governing Equations

Topic 5

CFD Techniques Part 1: Discretization of Governing Equations

  1. Finite Difference Method
  2. Finite Volume Method
  3. Spectral Method

Topic 6

CFD Techniques Part 2: Converting Governing Equations to Algebraic equations systems

  1. Steady State Diffusion Equation
  2. Steady State Convection-Diffusion Equation
  3. Unsteady State Convection-Diffusion Equation

Topic 7

CFD Solution Procedure Part 1

  1. Introduction
  2. Problem Setup- Pre-Process

Topic 8

CFD Solution Procedure Part 2

  1. Numerical Solution CFD-Solver
  2. Result Report and Visualization Post-Process

Topic 9

CFD Solution Analysis Essentials Part 1

  1. Introduction
  2. Consistency
  3. Stability
  4. Convergence

Topic 10

CFD Solution Analysis Essentials Part 2

  1. Convergence, Continued
  2. Accuracy
  3. Efficiency

Topic 11

CFD Project Guide

  1. Introduction
  2. Geometry and Computational Domain
  3. Mesh Generation
  4. Solver Configuration
  5. Results Generation

Topic 12

Unit Review

  1. Introduction to Fluid Dynamics
  1. CFD Solution Procedure
  2. Governing Partial Differential Equations for CFD
  3. CFD Techniques
  4. CFD Solution Analysis Essentials
  5. CFD Software: ANSYS Academic
  6. Further Reading in CFD

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, theory based 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 In-depth 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 pro-active demeanor.
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: ANSYS SpaceClaim, ANSYS Meshing and ANSYS Fluent

·        Version: 2020 R1

·        Instructions:  N/A

·        Additional resources or files: N/A


·        N/A