ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 102 Hours of tutorials: 6 Expository Class: 18 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician
Type: Ordinary subject Master’s Degree RD 1393/2007 - 822/2021
Departments: Applied Mathematics
Areas: Applied Mathematics
Center Faculty of Mathematics
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
The Course Objective is the learning of a commercial package of Computational Fluid Mechanics. Concretely, the software chosen is Fluent of the ANSYS Company. We do not only learn the use of the package, but also to deep into the Numerical Methods used in the resolution of the different equations that compose the models.
[1] Review of models of Fluid Mechanics .
[2] Description of the package.
• Ansys Workbench
• Pre-process: creation of geometry with Design Modeler and mesh generation with Meshing .
• Simulation ("solver") using the graphical user interface for defining the problem to be solved: model selection, input, boundary and initial conditions, etc.
• Post-process: visualization and analysis of results.
• Introduction to UDF's.
[3] Numerical Methods.
• Analysis of numerical methods used in Fluent. Finite volume method.
[4] Resolution of various problems of fluid mechanics.
• Incompressible inviscid fluids:
o Outer flow through a cylinder and a sphere.
• Incompressible viscous fluids:
o Flows with low Reynolds number: Couette and Poisseuille flows, on an incline plane, Hagen-Poisseuille in ducts, etc.
o Flows with moderate Reynolds number: a study of boundary layers.
o Flows with moderate/high Reynolds numbers: destabilization of laminar solutions.
o Flows with high Reynolds numbers: modeling of turbulent flows.
• Compressible viscous flows:
o Thermal convection phenomena: Boussinesq approximation.
o Reactive flows.
o Thermal radiation.
o Multiphase flows: Eulerian-Lagrangian (VOF) and Eulerian-Eulerian descriptions.
o Turbomachinery.
• Basic:
1. Ansys Fluent Theory Guide.
2. Ansys Fluent User Guide.
3. Bermúdez. Mathematical methods in Fluid Mechanics. Universidad de Santiago de Compostela, 2002.
4. H.K. Versteeg, W. Malalasekera. An introduction to Computational Fluid Dynamics. The finite volume method. Prentice Hall, 1995.
• Complementary:
1. Y.A. Çengel, J.M. Cimbala. Mecánica de Fluidos. Mc Graw Hill, 2013.
2. M. Griebel, T. Dornseifer, T Neunhoeffer. Numerical simulation in Fluid Dynamics. A practical introduction. SIAM, 1998.
3. J.H. Ferziger, M. Perić. Computational methods for Fluid Dynamics. Springer-Verlag, 1997.
4. C.A.J. Fletcher. Computational techniques for Fluid Dynamics. Volume I and II. Springer-Verlag, 1988.
5. M.E. Gurtin. An introduction to Continuum Mechanics. Academic Press, 1981.
6. Hirsch. Numerical computation of internal and external flows. Volume I and II. John Wiley & Sons, 1991.
7. Mohammadi, O. Pironneau. Analysis of the K-Epsilon turbulence model. John Wiley & Sons, Masson, 1994.
8. S.V. Patankar. Numerical heat transfer and fluid flow. Hemisphere, Washington, D.C., 1980.
Basic:
CG1: To have knowledge that provide a basis or opportunity for originality in developing and / or applying ideas, often within a research context, knowing how to translate industrial needs in terms of R & D in the field of mathematics Industrial.
CG4: To have the ability to communicate the findings to specialist and non-specialist audiences in a clear and unambiguous way.
Specific:
CE4: To be able to select a set of numerical techniques, languages and tools, appropriate to solve a mathematical model.
CE5: To be able to validate and interpret the results, comparing them with visualizations, experimental measurements and functional requirements of the physical engineering system.
Numerical specialization:
CS1: To know, be able to select or use how to handle most suitable professional software tools (both commercial and free) for the simulation of processes in the industrial and business sector.
CS2: To adapt, modify and implement software tools for numerical simulation.
- Theoretical Classes: 10 Hours. It will present the Mathematical Models that we are going to manage and Numerical Methods used in their Resolution.
- Practical Classes: 50 Hours. It will realize necessarily in a Computer Class. In these classes the Students will learn to use the Software associated to these Methods. The Teacher will point out generic guidelines so that each student can realize his work. In the same way, the teacher will attend the questions presented by the students and will take a Control of the realized works by them.
CRITERIA FOR THE 1ST ASSESSMENT OPPORTUNITY
Tasks to be evaluated:
- The participation in the classes is very important since it will favor the interrelationship of the student with the teacher, who will thus be able to carry out a better follow-up of the same one
- Individual Exercises: exercises that the teacher will propose along the course.
- Exam: The exam will consist on a simulated case study.
Score
Tasks maximum
Exam 3
Personal work 7
Total 10
- Any student who participates in at least one assessable activity will be considered as submitted.
NOTE: In the case of fraudulent exercises or tests, the provisions of the Regulations for the Evaluation of Students' Academic Performance and the Revision of Grades shall apply.
Skills to acquire in this matter are evaluated in the manner shown in the following table:
Exam: CE4, CE5
Personal work: CG1, CG4, CE4, CE5, CS1, CS2
Hours Presence Time Factor Hours Work Student Total
Theory and Practices 7 1 7 14
Laboratory 35 2 70 105
Works 28 28
Exam 3 0 0 3
Total 45 105 150
- To have the Subject update.
- To participate actively in the Classes.
José Luis Ferrín González
Coordinador/a- Department
- Applied Mathematics
- Area
- Applied Mathematics
- Phone
- 881813191
- joseluis.ferrin [at] usc.es
- Category
- Professor: University Lecturer
| Monday | |||
|---|---|---|---|
| 12:00-14:00 | Grupo /CLE_01 | Spanish | Computer room 5 |
| Tuesday | |||
| 12:00-14:00 | Grupo /CLE_01 | Spanish | Computer room 5 |