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 Outcomes | No | Yes |
1 | Possesses advanced knowledge in one or more subfields of aerospace engineering and applies this knowledge effectively in engineering practices and solution processes. | | ✔ |
2 | Follows current scientific and technological developments in the field, identifies research problems, generates solutions using appropriate methods, and interprets the results. | | ✔ |
3 | Employs analytical thinking and numerical methods in solving complex engineering problems and, when necessary, develops and applies appropriate experimental approaches. | | ✔ |
4 | Uses appropriate modeling, analysis, simulation, and experimental methods for complex engineering problems, evaluates the results, and makes engineering decisions. | | ✔ |
5 | Clearly 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. | | ✔ |
6 | Acts with professional ethics and awareness of social and environmental responsibility and evaluates the possible impacts of engineering solutions. | | ✔ |
7 | Understands the importance of lifelong learning and effectively uses methods to access new knowledge. | | ✔ |
8 | Is aware of fundamental engineering problems related to national aerospace, defense, and energy technologies and possesses the competence to contribute to these areas. | ✔ | |