2018/19 Taught Postgraduate Module Catalogue
CAPE5335M Computational Fluid Dynamics
15 creditsClass Size: 50
Module manager: Professor M Fairweather
Email: m.fairweather@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2018/19
Pre-requisite qualifications
Background in fluid dynamics and mathematical techniques.This module is mutually exclusive with
| CAPE5320M | Multi-Scale Modelling and Simulation |
This module is not approved as an Elective
Objectives
- To provide an appreciation of current scientific, engineering and technological challenges that render development of computational fluid dynamics approaches desirable.- To provide an understanding of the concepts underpinning and the steps required for a practical realisation of computational fluid dynmics approaches.
- To provide a demonstration of computational fluid dynamics and practical experience of implementing and using computational fluid dynamics software.
Learning outcomes
The module will deliver an overview of modelling and simulation techniques, for example, computational fluid dynamics and process systems modelling. It will also provide an understanding of how different techniques can be formally integrated. Finally, it will show how computational fluid dynamics can be applied to solve practical problems of relevance to the chemical and process engineering industries via a number of case studies.
This module will enhance, significantly, computer based skills, problem solving skills, research skills and information literacy as well as a students' ability to write project reports based on a number of computer-based projects and targeted reading of topics related to computational fluid dynamics.
Skills outcomes
Training in commerical and in-house modelling and simulation software.
Syllabus
Introduction to modelling and simulation approaches. Typical examples showing application of each technique, and scope for integrating multi-scale modelling concepts in chemical and process engineering applications. Training in use of modelling and simulation approaches, and their application to practical problems of relevance to chemical and process engineering industries.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 20 | 1.00 | 20.00 |
| Practical | 10 | 1.00 | 10.00 |
| Independent online learning hours | 20.00 | ||
| Private study hours | 100.00 | ||
| Total Contact hours | 30.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Independent online learning will be by way of familiarisation and self-training in the use of computer software, and computer-based modelling software applications that will be used to construct multi-scale models in accordance with the coursework project briefs.The time allocated for private study will include a structured programme of reading against a list of sources provided to the students and the review of weekly lecture notes. Researching and preparation of reports on the 5 set assignments are included in this total.
Opportunities for Formative Feedback
Progress will be monitored through the training and demonstrator-assisted sessions and through feedback sessions in lectures, in which academic staff and demonstrators will be present. It will also be monitored via the submission of five technical reports associated with each of the projects set.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Report | CFD technical report - 15000 words approx. | 100.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 30/04/2018
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