Educational offer - University of Padova

Syllabus

Target skills and knowledge:	Knowledge of physical models and numerical approaches in computational fluid dynamics, also in the case of multiphase and reactive systems. Skills and methods for fluid dynamic simulation and design of process equipment by means of commercial software. Methods and skills for the assessment, design and scale-up of mixing equipment for homogeneous and multiphase flows.
Examination methods:	Written exam (85% of final marks) and homeworks (15%).
Assessment criteria:	Assessment on knowledge of lecture topics and on design of mixing equipment.
Course unit contents:	INTRODUCTION TO COMPUTATIONAL FLUID DYNAMICS: Navier-Stokes equations. Statistical description of turbulent flows. Models for turbulent flow description in computational fluid dynamics: two-equation models. Some mention to large eddy simulation (LES). SOLVING FLUID DYNAMICS MODELS: The finite volume method: steady and transient flows. Availability and selection of numerical methods in commercial software. A brief introduction to meshing criteria. MULTIPHASE FLOWS: Phase coupling analysis (using dimensionless numbers). Eulerian-Lagrangian and Eulerian-Eulerian modeling approaches; some mention to population balance modeling. REACTIVE FLOWS: Multiscale approach to mixing in turbulent systems. Interaction between mixing and reactive phenomena. Reactive flow modeling in computational fluid dynamics: reaction rate models, equilibrium models, flamelet models. USAGE OF COMMERCIAL SOFTWARE FOR EQUIPMENT SIMULATION AND DESIGN: hands-on tutorials for analysing homogeneous, multiphase, and reactive systems. MIXING EQUIPMENT DESIGN: Equipment details in mixing tanks. Mixing in homogeneous systems: criteria for equipment design and scale-up. Multiphase systems: liquid-solid and liquid-gas mixing. Design criteria for interphase mass transfer. Equipment design in reactive systems. Mixing in pipelines: criteria for equipment selection and design.
Planned learning activities and teaching methods:	Lectures. Numerical exercises and software tutorials and exercises.
Textbooks (and optional supplementary readings)	H.K. Versteeg, W. Malalasekera, An introduction to computational fluid dynamics. The finite volume method.. --: Pearson - Prentice Hall, 2007.