2025
Advanced Topics in Computational Fluid Dynamics
Name: Advanced Topics in Computational Fluid Dynamics
Code: EME13166D
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mechanical Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
The student should be able to derive the conservation equations for turbulent reacting flows with the proper turbulence, combustion and radiation closure models. He/she should be able to implement, test and use algorithms for the calculation of combustion problems with one-step or detailed reaction mechanisms. He/she should be able to describe pollutants formation models and calculate pollutants emissions. The student will develop his/her programming skills and be able to use specific software.
Contents
1. Conservation eq. reacting flows. Chemical kinetics. Passive scalars and mixture fractions. Reynolds and Favre decomposition. Conservation eq. turbulent flows.
2. Numerical implement. Finite volume meth. Grid selection. Discretization conservation eqs. Solution meth. disctrized equations. Solution algorith. Numerical accuracy. In-house and commercial software.
3. Turbulence models. Zero equation models. 2-equation models: k-e and variants. Reynolds Stress Models. Large Eddy Simulation. Direct Numerical Simul. Numerical implement of k-e.
4. Radiative heat transfer eq. participating media. Models for radiative prop. of gases and particles. Zone, Monte Carlo, discrete ordinates, discrete transfer and P1 methods. Numerical implement. discrete ordinates method.
5. Formation models and mechanisms:Pollutants; NO; Soot. Numerical implement. Zeldovich model.
6. Solution of reacting flows using a commercial code.
2. Numerical implement. Finite volume meth. Grid selection. Discretization conservation eqs. Solution meth. disctrized equations. Solution algorith. Numerical accuracy. In-house and commercial software.
3. Turbulence models. Zero equation models. 2-equation models: k-e and variants. Reynolds Stress Models. Large Eddy Simulation. Direct Numerical Simul. Numerical implement of k-e.
4. Radiative heat transfer eq. participating media. Models for radiative prop. of gases and particles. Zone, Monte Carlo, discrete ordinates, discrete transfer and P1 methods. Numerical implement. discrete ordinates method.
5. Formation models and mechanisms:Pollutants; NO; Soot. Numerical implement. Zeldovich model.
6. Solution of reacting flows using a commercial code.
Teaching Methods
Teaching is based on theoretical and theoretical/practical classes. The latter are the tutorial support for the computational problems that the students should solve. The learning process should be active and should stimulate students to research and learn more about the topics discussed in the classroom. Since the number of students in the classroom is not too high, the teacher will look at each student as an individual.
Evaluation: Students are evaluated by 5 computational problems that are solved during the 15 weeks of classes.
Evaluation: Students are evaluated by 5 computational problems that are solved during the 15 weeks of classes.
Teaching Staff (2024/2025 )
- Gonçalo Nuno Guerreiro de Jesus Silva [responsible]