Computational Thermo-Fluid Dynamics

Dublin City University

Course Description

  • Course Name

    Computational Thermo-Fluid Dynamics

  • Host University

    Dublin City University

  • Location

    Dublin, Ireland

  • Area of Study

    Mechanical Engineering

  • Language Level

    Taught In English

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    The objectives of this module are to provide a thorough description of the mathematical methods and numerical techniques used in Computational Fluid Dynamics (CFD) and to provide a practical experience in the use of a state of the art commercial modelling software. The module covers incompressible laminar and turbulent flow with heat transfer and involves both theoretical exercises and practical computational modelling of fluid and heat transfer problems.

    Learning Outcomes
    1. Interprete the theoretical foundations of core numerical methods and mathematical models found in Computational Fluid Dynamics
    2. Select appropriate governing equation to model specific fluid or heat transfer problem and make appropriate simplification to allow discretisation and solution
    3. Formulate and set-up CFD models for the solution of simple but realistic thermo-fluid problems
    4. Appreciate the limitations and capabilities of the main models and solution methods available with state of the art CFD Softwares based on the Finite Volume Method
    5. Quantify the order of accuracy of a CFD model based on the choice of discretisation scheme
    6. Evaluate critically the quality of a mesh, model set-up and results
    7. Propose improvements to existing model setup with a view to adressing specific issues including limited computational power or memory
    8. Demonstrate the importance of careful validation by comparison with experimental and/or analytical solutions

Course Disclaimer

Courses and course hours of instruction are subject to change.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.