Computational Modelling
Owner: Dr Jamie Gawith
Number of students: 2
Formative Deadline: Friday W30
Learning Outcomes
Computational modelling of physical systems is indispensable to modern engineering. While analytical methods can be useful in simple cases, most real-world systems are complex, non-linear and require computational/numerical techniques to model and understand. Physical system modelling is used to analyse electric machines, sensors, and thermal design. Appreciating the fundamentals of computational techniques is important for engineers to understand the utility, pitfalls and limitations of modelling.
Knowledge Requirements
Complete the Simscape Onramp and upload the certificate to your Mahara Webpage: https://matlabacademy.mathworks.com/details/simscape-onramp/simscape
Application Requirements
To claim this skill at Application Level you will use a a commercial Finite Element Analysis tool like Ansys to model a 2D/3D system. You must include: 1) A brief explanation about the system you are modelling, including the physics/equations you are solving and how you have set up the model (50-100 words). 2) Screenshots of the model setup, showing the solution type, boundary conditions, mesh settings and excitations. 3) A screenshot of the 2D or 3D geometry being modelled, showing materials in each region 4) Screenshots of relevant outputs/results from the model, for example the temperature in different parts of the model or the maximum magnetic field on a surface. 5) A short explanation commenting on the outputs/results of the modelling and why these are relevant and useful for design or analysis purposes (50-100 words). All screenshots must show your username.
Synthesis Requirements
To claim this skill at Synthesis Level you will use a a commercial Finite Element Analysis tool like Ansys to model a 2D/3D system as part of a wider engineering project. You must include: 1) A brief explanation about the system you are modelling, including the physics/equations you are solving and how you have set up the model (50-100 words). 2) Screenshots of the model setup, showing the solution type, boundary conditions, mesh settings and excitations. 3) A screenshot of the 2D or 3D geometry being modelled, showing materials in each region 4) Screenshots of relevant outputs/results from the model, for example the temperature in different parts of the model or the maximum magnetic field on a surface. 5) A short explanation commenting on the outputs/results of the modelling and why these are relevant and useful for design or analysis purposes (50-100 words). 6) A reflection on the utility of the model and its limitations.
All screenshots must show your username.
Knowledge Opportunities
Lab W26
Application Opportunities
Lab W29