B1993 - SIMULAZIONE MULTISCALA DI APPARECCHIATURE PER L'INDUSTRIA CHIMICA

Learning outcomes

The purpose of the course is to provide the main tools for the simulation of equipment adopted in the industrial chemical processes, with special focus on multiphase, porous media and soft matter systems (e.g. suspensions, emulsions, foams, granular materials), aimed at optimization and scale-up. The module will expose the student to the use of Machine Learning models (surrogate models) for multiscale modelling. At the end of the course, the student will be able to identify suitable modelling strategies and relevant coupling methods for the equipment simulation at different scales, from the mesoscale up to the macroscale.

Course contents

Prerequisites

• Mass and energy balances

• Fluid dynamics

• Mechanisms of heat and mass transfer

Program

• Review of vector calculus, differential equations, and statistical mechanics

• Multiscale transition: from discrete to continuous

• Continuum fluid dynamics

• Turbulence modeling as a multiscale process: application to the simulation of equipment used in the chemical industry

• Introduction to porous media theory: scale transition in porous media, volume averaging

• Introduction to the simulation of dispersed systems: Population Balance Equation

• Examples of applications of computational fluid dynamics (CFD) calculations

Readings/Bibliography

• Berendsen, H. C “Simulating the physical world : hierarchical modeling from quantum mechanics to fluid dynamics”, Cambridge : Cambridge University Press, 2007
• Ramkrishna, D.: Population Balances: Theory and Applications to Particulate Systems in Engineering, Academic Press, 2000
• Bear, J. And Bachmat, Y. “Introduction to Modeling of Transport Phenomena in Porous Media”, Kluwer Academic Publishers, Dordrecht, The Netherlands 1990
• Wilcox, D. C. “Turbulence modeling for CFD”, DCW Industries 1993

 

NOTE: The listed textbooks are recommended reference materials that contain sections useful for exploring specific parts of the course content in greater depth; they are not followed in detail.

Teaching methods

In class lectures

Assessment methods

Learning assessment is carried out through a final exam to be taken after the end of the lectures. It consists of an unstructured oral examination.

The exam aims to verify the student’s understanding of the principles underlying multiscale modeling. It will also assess the ability to identify the most appropriate models to describe selected cases discussed during the course at different relevant scales, as well as the methods for their coupling.

The dates of the six exam sessions for each academic year are established in accordance with the academic calendar and published online at least one month before the scheduled date. To take the exam, students must register through “Alma esami”, within the deadlines provided.

Students with learning disorders and\or temporary or permanent disabilities: please, contact the office responsible (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students ) as soon as possible so that they can propose acceptable adjustments. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, taking into account the teaching objectives.

Teaching tools

The material useful for exam preparation (outlines, diagrams, worksheets, and exercise texts) is made available to students in electronic format through platform Virtuale.

Office hours

See the website of Nicodemo Di Pasquale