Introduction to Computational Fluid Dynamics (CFD)
Engineers need to know a wide spectrum of modern techniques and tools to be able to apply them in their professional work. Modelling and simulation are examples of the techniques that are commonly undertaken by modern engineers, especially in the context of the Industry 4.0 concept. During the course there will be demonstrations of solving some engineering problems by means of simulation software. In addition, the course includes examples of typical tasks to be performed in the practical implementation of simulation. The different methodologies that will be presented here can be applied to a wide variety of topics such as fluid motion, heat transfer dynamics and more. This course does not intend to go in depth into any numerical method or process and does not provide any recipe for the resolution of a particular problem. It is rather a guide towards different methodologies that can be applied to solve any kind of problem and help you pick the one best suited for you.
£300 per person
£300 per person
- Introduction to computational modelling and the use of simulation in the design process
- Information about commercial packages for each stage.
- Overview of steps involved in the modelling process;
- Identification of the physics involved,
- The effect of problem simplifications and assumptions on the solution,
- Determining an appropriate analysis type,
- The importance of validation.
- Introduction to steps involved in computational modelling, CAD and meshing: Examples of common problems associated with these stages and techniques to avoid them; importance of solution mesh independence, Solution procedures, simulation solver software, Post-processing, Interpretation of results, visualisation and optimisation
- Introduction to software tools used in this module, CAD, meshing, analysis and visualisation packages.
- Analysis techniques: Overview of finite difference, finite volume and finite element methods.
- Case studies
- Ability to apply computational methods, using alternative approaches and understanding their limitations.
- Understand and evaluate business, customer and user needs.
- Knowledge and understanding of mathematical and computational models relevant to the engineering.
- Improve the understanding of simulation results and discussion around design parameters and financial advantages.
- Computing and software skills.
- Data assimilation and reporting skills.
- Be more competitive in the business environments.
- Increase confident in processing results.
- Understanding of latest technology developments.
- Cost saving via reduced prototyping and testing.
Duration3 days plus assessment.
- In-class course work
- Written report based on information-data provided during the 3 days course (to be submitted 2 weeks after the last day of teaching)