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CAE (CFD, FEA) & Physical Correlation

Engineering simulation is an essential solution in many engineering problems in today’s industry as it reduces the cost of design and product development or optimises the current engineering systems. Computer Aided Engineering introduces the mathematical and numerical methods to simulate the engineering problems by utilising state of the art engineering tools and packages.

Module aims

  • This module aims to further enhance both the theoretical and practical appreciation of CAD, whilst introducing the supporting role of finite element analysis (FEA) and computational fluid dynamics (CFD) to achieve the engineering of a product or a system.
  • Furthermore, this module introduces methods to validate engineering simulation through physical correlation.
  • The participants will appreciate how mathematics, numerical analysis and computed technology are combined to model and simulate the behaviour of physical systems.
  • The participants also develop their understanding of the importance and relevance of modelling engineering systems before embarking on detailed designs and modelling processes developed with software packages.
  • They will gain confidence and be experienced in the use of software as a design aid in a wide range of engineering problems.

At the end of this module the student will be able to:

  • Execute and successfully complete a substantial piece of advanced independent work relative to the theories, practical issues and problems in the area of Computer Aided Engineering.
  • Make informed decisions on the application and deployment of CAD/CAE technologies in a range of engineering sectors.
  • Develop the ability to critically review and consolidate knowledge in a number of areas of study relating to Computer Aided Engineering.
  • Demonstrate the ability to simulate the behaviour of a physical system by transferring the practical problem into a mathematical model and using suitable numerical methods to solve the problem with an engineering software.
  • Identify the types of error in numerical analysis and how to improve the accuracy of numerical results.
  • Critically assess and evaluate the relevant empirical evidence to refine or refute any current theories relating to the engineering problems towards making a computer model of the engineering problems.
  • Make use of software as a design aid in a wide range of engineering problems.
  • Critically evaluate a number of different design processes.
  • Communicate the findings of the investigation in an orderly, reasoned and analytical manner and how to present their results.