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# Advanced Computer Applications in Engineering (MECH0059)

## Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Mechanical Engineering
Credit value
15
Restrictions
Familiarity with mechanics of fluids, mechanics of materials, statics, dynamics and basic calculus. Familiarity with principles of programming
Timetable
Link to online timetable

## Alternative credit options

There are no alternative credit options available for this module.

## Description

Overview:

This module provides an understanding of the principles underpinning Finite Element analysis (FEA) and computational fluid dynamics (CFD). Students are lectured on basics of finite element method and current problems, challenges, insights, developments, etc., relevant to various types of applications of CFD in industry and research: Aerodynamics, F1 racing, gas turbines, internal combustion engines, weather forecasting, heat transfer, fundamental turbulence modelling, etc.

Lectures provide the basic course content and significant self-learning is required by students for them to fully understand the material. The concepts of FEA and CFD are explained and coursework exercises provide students with the opportunity to demonstrate correct and effective application.

Topics covered:

Finite Element Analysis

• Introduction and overview
• Overview of finite element theory
• Shape function
• Elasticity problems formulation
• Higher order elements
• Assembly and solution of FE equations

Computational Fluid Dynamics

• Introduction, overview and applications
• Basic governing equations
• Grid types and mesh generation
• Finite volume method & discretisation
• Pressure correction and turbulence modelling
• Applications and frontiers of modelling

Learning outcomes:

Upon completion of this module students will be able to:

1. Understand the theoretical background to the workings behind commercial FEA and CFD packages.
2. Appreciate the structure of programmes for potential amendment and development.
3. Use commercial software packages for solving problems and assessing their limitations.
4. Take a detached view in checking output.

## Intended teaching term: Term 1     Postgraduate (FHEQ Level 7)

### Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

### Other information

Number of students on module in previous year
85
Professor Mehran Moazen
mecheng.pg-queries@ucl.ac.uk

## Intended teaching term: Term 1     Undergraduate (FHEQ Level 7)

### Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

### Other information

Number of students on module in previous year
31