Module manager: Dr A Hassanpour
Email: a.hassanpour@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2024/25
Background in fluid dynamics, heat and mass transfer and mathematical techniques.
PEME5312M Multi-Scale Modelling and Simulation
This module is not approved as an Elective
- 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.
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.
Training in commerical simulation software.
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.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 16 | 2 | 32 |
| Practical | 28 | 2 | 56 |
| Independent online learning hours | 94 | ||
| Private study hours | 118 | ||
| Total Contact hours | 88 | ||
| Total hours (100hr per 10 credits) | 300 | ||
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.
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.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Molecular Modelling | 20 |
| Assignment | Computational Fluid Dynamics | 40 |
| Assignment | Discrete Element Modelling | 40 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/29/2024
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