First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
INO2043210, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
IN0530, Degree course structure A.Y. 2012/13, A.Y. 2019/20
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination FLUID DYNAMICS SIMULATION
Department of reference Department of Industrial Engineering
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge FABRIZIO BEZZO ING-IND/25

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-IND/25 Chemical Plants 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 6.0 48 102.0 No turn

Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2012 course timetable

Prerequisites: None
Target skills and knowledge: Knowledge of physical models and numerical approaches in computational fluid dynamics (CFD), 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 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%).
The written exam comprises a numerical exercise and few open question concerning theoretical topics. The objective is to evaluate:
a. the capability to design and assess mixing equipment
b. the knowledge on models and their applicability for representing turbulent phenomena, multiphase flows, reactive flows
c. the knowledge of numerical methods used in computational fluid dynamics
Homeworks aim at assessing the capability of utilising a commercial CFD software in a critical way.
Assessment criteria: Assessment of the knowledge of lecture topics and of design methods for mixing equipment.
Course unit contents: COMPUTATIONAL FLUID DYNAMICS AND TURBULENT FLOW MODELLING (10 hours): 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 (5 hours): 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 (4 hours): Phase coupling analysis (using dimensionless numbers). Eulerian-Lagrangian and Eulerian-Eulerian modeling approaches; some mention to population balance modeling.
REACTIVE FLOWS (6 hours): 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 (9 hours): hands-on computational lab for analysing homogeneous, multiphase, and reactive systems. CFD usage in the process industry.
DESIGN OF MIXING EQUIPMENT (14 hours): 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. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem based learning
  • Case study
  • Working in group
  • Questioning
  • Use of online videos
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Kaltura (desktop video shooting, file loading on MyMedia Unipd)

Sustainable Development Goals (SDGs)
Industry, Innovation and Infrastructure