Unit
- Course
- Mechanical engineering
- Study-unit Code
- A003424
- Curriculum
- Energia
- Teacher
- Michele Battistoni
- Teachers
-
- Michele Battistoni
- Hours
- 72 ore - Michele Battistoni
- CFU
- 9
- Course Regulation
- Coorte 2023
- Offered
- 2023/24
- Learning activities
- Caratterizzante
- Area
- Ingegneria meccanica
- Academic discipline
- ING-IND/08
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Kinematics and Dynamics of Fluids
Fundamentals of Computational Fluid Dynamics (CFD).
Turbulent flows.
Chemically reactive flows.
Multiphase flows.
Applications to fluid machines, internal flows and external flows.
Introduction to High Performance Computing (HPC). - Reference texts
- Andersson B., et al.: Computational Fluid Dynamics for Engineers, Cambridge Press 2012
Other:
Cengel, Cimbala, Fluid Mechanics – Fundamentals and Applications, McGraw-Hill
Ferziger, Peric, Computational Methods for Fluid Dynamics, Springer - Educational objectives
- Ability to sketch and setup a problem for Computational Fluid Dynamics (CFD) simulation. Selection of models. Analysis of flows in engines, turbines, burners, fuel-cells, external aerodynamics, and device cooling. Knowledge of High Performance Computing platforms and usage.
- Prerequisites
- previous courses: fluid machines, applied physics.
- Teaching methods
- - lectures
- exercises with computer simulations - Other information
- Learning verification modality
- project, tutorials and oral exam
- Extended program
- 1. Kinematics and Dynamics of Fluids. Fundamentals of fluid-dynamics. Flow regimes: compressible and incompressible, laminar and turbulent, single-phase and multi-phase. Modeling: conservation equations in various forms, equation of state, transport properties, viscosity, mass diffusivity, thermal diffusivity.
2. Introduction to computational fluid-dynamics (CFD). Numerical methods. Spatial and temporal discretization methods, accuracy, stability. Equation coupling, pressure-based and density-based solution algorithms. Segregated and coupled solvers.
3. Turbulence fundamentals: energy cascade and turbulence length-scales. Modeling approaches: Direct Numerical Simulation (DNS), Large Eddy Simulations) LES, Reynolds Averaged Navier-Stokes (RANS). Boundary layer treatment.
4. Turbulent mixing and reactive flows. Modeling of turbulent mixing and chemically reacting flows. Premixed vs. non-premixed combustion. Turbulence-chemistry interaction.
5. Multiphase flows. Lagrangian and Eulerian description.
Two-fluid and single-fluid models. Interaction among phases.
6. CFD applications to general turbulent flows, internal combustion engines, turbo-machinery, external flows. Design problems and analyses.
7. Introduction to High Performance Computing (HPC).