Computational Heat and Fluid Flows

Unit code:NEF4001Study level:Undergraduate

Credit points

12
(Generally, 1 credit = 10 hours of classes and independent study.)

Location

Footscray Park

Prerequisites

NEF1201 - Engineering Mathematics 2; and
NEF1202 - Engineering Physics 2; and
Completion of 240 credit points.
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)

Overview

This unit introduces students to the use of commercial computational simulation tools, with a focus on ANSYS, for solving engineering problems in heat transfer and fluid flow relevant to mechanical, electrical, and electronic systems. Students will learn the fundamentals of computational fluid dynamics (CFD) and its application to analysing flow paths and heat transfer in complex systems. Topics include steady-state and transient conduction, natural and forced convection, and radiative heat transfer. The unit emphasises the design and optimisation of thermal management systems for electronics, data centres, and telecommunication environments, equipping students with the ability to model, simulate, and interpret real-world heat and fluid flow scenarios to improve reliability and performance.

Learning Outcomes

On successful completion of this unit, students will be able to:

Analyse steady-state heat conduction in plane, cylindrical, and spherical geometries;
Evaluate convective heat transfer in laminar and turbulent flows for internal and external surfaces;
Design CFD models for both simple, verifiable systems and complex geometries with unknown flow behaviour;
Critically assess the accuracy and reliability of CFD simulation results; and
Design and interpret heat removal and thermal management systems using CFD to optimise performance and reliability.

Assessment

For Melbourne campuses

Assessment type: Exercise | Grade: 15%

Analysing steady heat conduction problems. (1000 words) (Individual)

Assessment type: Test | Grade: 35%

In-class invigilated test on the understanding of the theory of Heat Transfer. (60 mins) (Individual)

Assessment type: Assignment | Grade: 25%

Application of CFD for solving electro and mechanical problems.

Assessment type: Test | Grade: 25%

In-class invigilated test on the theory on Computational Fluid Dynamics and in class CFD simulations. (60 mins) (Individual)

Exercise: This in-class assessment evaluates students’ ability to analyse heat conduction problems.

Tests: These secure invigilated in class assessments have an unpredictable problem-solving scenario format that tests understanding, requires explanation of reasoning and process, and involves applying knowledge to new contexts.

Assignment: This secure assessment ensures accountability through structured reflection and progressive milestone checks. These milestones are recorded and incorporated into the overall marking process.