AEE546 COMPUT.FLUID DYNAMICS ON UNSTRUCT.GRIDS

Course Code:5720546
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Aerospace Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assoc.Prof.Dr. NİLAY SEZER UZOL
Offered Semester:Fall or Spring Semesters.

Course Objectives

  • To refresh your knowledge in governing fluid flow equations
  • To cover the basic methods in unstructured grid generation
  • To cover the fundamentals of Finite Volume Method and convective flux evaluations
  • To implement basic algorithms for the solution of RANS equations
  • To improve your coding and computer skills.
  • To encourage you to work in teams and to communicate effectively

Course Content

Navier-Stokes equations in integral form, waves and the Riemann problem, one-equation turbulence models, unstructured grid generation, Delaunay triangulation, advancing front triangulation, Finite volume Method, flux evaluation, Euler forward/backward time integration, higher order reconstruction of flow variables, solution-adaptive unstructured grids, Total Variation Diminishing schemes and limiters, Essentially Non Oscillatory schemes, preconditioning methods for low speed flows, GMRES iterative solution method, parallel processing on unstructured grids, message-passing libraries: MPI and PVM


Course Learning Outcomes

  • To have a good understanding of the conservation equations of fluid flow
  • To be able to generate proper unstructured grids for various flow solutions 
  • To have an applied experience in coding  finite volume based flow solvers 
  • To have an applied experience with convective and diffusive flux evalution methods 
  • To improve technical report writing abilities 
  • To be able to function effectively in a teamwork environment

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1Possesses advanced knowledge in one or more subfields of aerospace engineering and applies this knowledge effectively in engineering practices and solution processes.
2Follows current scientific and technological developments in the field, identifies research problems, generates solutions using appropriate methods, and interprets the results.
3Employs analytical thinking and numerical methods in solving complex engineering problems and, when necessary, develops and applies appropriate experimental approaches.
4Uses appropriate modeling, analysis, simulation, and experimental methods for complex engineering problems, evaluates the results, and makes engineering decisions.
5Clearly and systematically communicates scientific and technical knowledge in written and oral form, works effectively in intra-disciplinary and interdisciplinary teams, and assumes leadership when necessary.
6Acts with professional ethics and awareness of social and environmental responsibility and evaluates the possible impacts of engineering solutions.
7Understands the importance of lifelong learning and effectively uses methods to access new knowledge.
8Is aware of fundamental engineering problems related to national aerospace, defense, and energy technologies and possesses the competence to contribute to these areas.