# Module IES-4104:Modelling & Design

### Module Facts

Run by School of Computer Science and Electronic Engineering

15 Credits or 7.5 ECTS Credits

Semester 1

Organiser: Dr Julian Burt

### Overall aims and purpose

Practical modelling and design is taught using the multiphysics modelling package “Comsol Multiphysics”. Guided projects are undertaken to model and analyse physical systems. Students are required to research their chosen system and identify significant design parameters. Simulation and analysis will be aimed at identifying an optimal configuration for the chosen system

### Course content

• Finite Element Method. General introduction. Elements in 1D, 2D and 3D. Element considerations. Example electric field calculation • Theory. Flow equations (Mass/momentum conservation, Navier Stokes), Thermal equations (Thermal field, Heat transfer), Electomagnetic equations (Electrostatic, conduction, magnetic field), Mechanical stress/strain. • Problem generation. Geometry generation, Boundary conditions, Meshing and mesh design considerations. Solution methods. • Post processing. Field presentation, data extraction. Limitations and errors • Methodology. Descretisation, parametric processes, multiphysics modelling, modular design • Introduction to Comsol Multiphysics Geometry creation and meshing. Model specification. Boundary and material specification. Solution processing. Simulation management. Post processing • Literature survey of chosen topic. Inspection and problem identification. • Analysis of chosen problem and identification of controlling parameters. Optimisation of design to meet given specification

### Learning outcomes mapped to assessment criteria

threshold

50%

good

60%

excellent

70%

Understand and be able to apply the Finite Element method to physical problems using Comsol Multiphysics

State and use the principle of the Finite element method to solve simple problems. Explain and use the principle of the Finite element method to solve problems that require are non standard. Have appreciation of the limits of the simulations Discuss and use the principle of the Finite element method to solve problems that are complex in nature. Solution methodology adapted to the limits of the simulations technique.

Understand the methods for graphically representing scale and vector quantities that have real and imaginary components

Communication skills are sufficient to convey the essence of the project and its outcomes. Communication skills demonstrate an ability to summarise the project and draw sensible conclusions in a concise manner. Presentations skills demonstrate an appreciation of the current state of the art and place work in a wider context.

### Assessment Methods

Type Name Description Weight
Assignment 1 20
Assignment 2 40
Assignment 3 40

### Teaching and Learning Strategy

Hours
Private study

Self Study

125
Tutorial

Three 2 hour sessions per week + 1 hour lecture durin the first week

25

### Transferable skills

• Computer Literacy - Proficiency in using a varied range of computer software
• Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
• Exploring - Able to investigate, research and consider alternatives
• Information retrieval - Able to access different and multiple sources of information
• Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
• Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
• Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team

### Subject specific skills

• Apply underpinning concepts and ideas of engineering;
• Apply knowledge and understanding of the specialist cognate area of electronic engineering in an international context;
• Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions, especially ones that include embedded microprocessors
• Solve problems logically and systematically;
• Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions.
• Access and synthesize information and literature sources;
• Analyse and display data using appropriate methods and mathematical techniques;
• Demonstrate familiarity with relevant subject specific and general computer software packages.