CFD and Heat Transfer (891H1)
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CFD and Heat Transfer
Module 891H1
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module Outline
In this module, you will gain proficiency in the knowledge and application of analytical techniques used
in computational solutions of fluid mechanics and heat transfer problems. You will gain a systematic
understanding of Computational Fluid Dynamics (CFD) and heat transfer knowledge and will be able
to confidently research and apply these to unfamiliar and complex problems involving manufacturing
methods and proposing product design changes. You will be exposed to emergent technologies and
numerical approaches, with a particular emphasis on practical problem-solving in product realisation
and manufacturing. You will be taught through both synchronous lectures and laboratory (computerbased)
practical sessions to develop the theoretical understanding and the practical skills competency
in numerical based engineering analysis.
Indicative Content Outline (CC indicates Core Curriculum activities)
• Introduction to fluid dynamics, basic characteristics of laminar/turbulent fluids and governing
equations
• Navier-Stokes equations and turbulence modelling approaches (RANS/LES/DNS)
• Classification of partial differential equations and boundary conditions
• Introduction to heat transfer modes (Conduction, Convection, Radiation) and governing
equations. Phase-change convection modes.
• Numerical approaches to CFD and heat transfer - Finite difference method, Finite element
method, Finite volume method. Systematic understanding of numerical convergence and error
sources.
• Practical use of industry-grade numerical software (ANSYS) for conducting fluid flow and heat
transfer analysis.
• Steady-state fluid flow and heat transfer problems in two and three dimensions
• Cooling fin design approaches and heat exchange simulation between fluids
• Application of CFD and heat transfer analysis in rapid prototyping
o CC: Rule of Law
• Effective technical report writing in the context of simulation studies.
o CC: English and Maths, Personal/Career Development
Module learning outcomes
Systematically understand key aspects of computational fluid dynamics
and heat transfer and the numerical simulation skills necessary to predict
product performance.
Demonstrate comprehensive understanding of the techniques required to
conduct a computational fluid dynamics simulation using ANSYS Fluent.
Original application of computational fluid dynamics and heat transfer
techniques related to the production environment associated with the
forefront of manufacturing methods.
Evaluate and make product decisions and revisions relating to design and
manufacturing in complex and unfamiliar situations through computational
fluid dynamics and heat transfer analysis.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 7 | 40.00% |
| Report | A1 Week 1 | 60.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 50000000000 |
| Autumn Semester | Laboratory | 2 hours | 50000000000 |
| Autumn Semester | Lecture | 1 hour | 01111111110 |
| Autumn Semester | Laboratory | 3 hours | 01100011100 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof Cyril Crua
Assess convenor
/profiles/630715
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.