Unit FLUID DYNAMICS OF MACHINES

Course
Industrial engineering
Study-unit Code
A001206
Curriculum
In all curricula
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 internal combustion engines, fuel sprays, combustion devices, and external aerodynamics. 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).
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