2024/25 Taught Postgraduate Module Catalogue

CAPE5320M Multi-Scale Modelling and Simulation

30 creditsClass Size: 150

Module manager: Dr A Hassanpour
Email: a.hassanpour@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2024/25

Pre-requisite qualifications

Background in fluid dynamics, heat and mass transfer and mathematical techniques.

Module replaces

PEME5312M 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 multi-scale modelling and simulation approaches desirable.
- To provide an understanding of the concepts underpinning and the steps required for a practical realisation of modern multi-length and multi-time scale modelling and simulation approaches.
- To provide a demonstration of the application of multi-scale modelling and practical experience of implementing and using a number of multi-scale models.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Have a comprehensive knowledge and understanding of mathematics and scientific principles relevant to chemical engineering, demonstrated primarily through their ability to apply them to the solution of complex engineering problems.
2. Be able to apply the underlying chemical engineering principles to more complex problems, critically evaluating the limitations of assumptions of the approach taken.
3. Be able to select and adapt computational techniques to tackle complex problems.
4. Recognise the limitations of standard commercial software for solving chemical engineering problems and identify requirements for more advanced techniques or specialist expertise.
5. Be able to apply knowledge of chemical engineering principles to complex process equipment, and substances with complex behaviour.
6. Understand how to combine and adapt different aspects of systems thinking to complex and novel processes.
7. Have undertaken a development project that provides opportunities for application of research methods, originality and experience in dealing with uncertainty and new concepts.

Skills outcomes
Training in commerical simulation software.

Syllabus

Introduction to modelling and simulation approaches individually; molecular modelling, discrete element methods and computational fluid dynamics. 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 solve practical problems via the digital twin design approach in chemical and process engineering industries.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	16	2.00	32.00
Practical	28	2.00	56.00
Independent online learning hours			94.00
Private study hours			118.00
Total Contact hours			88.00
Total hours (100hr per 10 credits)			300.00

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 four 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 the technical reports associated with each of the projects set.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Molecular Modelling	20.00
Assignment	Computational Fluid Dynamics	40.00
Assignment	Discrete Element Modelling	40.00
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 website

Last updated: 29/04/2024 16:19:34

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