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Lattice Boltzmann methods for multiphase and multicomponent flows, Aug 2019

Posted By: Dr. Dhinakaran
Date:Thu, 8 Aug 2019, 1:39 a.m.

India, August 5, 2019

The Centre for Fluid Dynamics, IIT Indore is organizing 10 days (2 hours
lecture and 1 hour practical session per day) Global
Initiative of Academic Networks (GIAN) Course on 'Lattice Boltzmann methods for multiphase and multicomponent flows'.
Prof. A.A.Mohamad, University of Calgary, Canada is the course instructor.

Description: The topic of multi-phase and multi-complement flow
(MPMC) has wide spectrum of applications. In the
process of oil extraction and transportation, oil is mixed
with water and gases; in digital lab-on chip, droplet
transport in an aqueous solution; boiling and
condensation processes; in manufacturing process
melting and solidification are few examples to mention on
MPMC. Lattice Boltzmann method is very powerful
method to handle the mentioned problems. Since, Lattice
Boltzmann method (LBM) is based on mesoscale, it is
natural to integrate thermodynamics with transport
phenomena. While in conventional methods, such as
finite volume or finite element, it is difficult to integrate the
thermodynamic with transport equations. Also, in LBM
there is no need to track the interface explicitly. Besides,
the coding of LBM is much easier than that of
convectional methods. We think that engineers in
academia and in industry should have a knowledge on
how to simulate sophisticated and challenging problems
involved MPMC. These days single phase flow and
transports can easily be handled with many available
softwares. However, MPMC problems are challenging
and need deep physical understanding and modelling.
LBM should be the method of choice for dealing with
such complex physics. Unfortunately, most engineering
schools do not teach statistical mechanics and
thermodynamics which are the prerequisites for
understanding LBM.

In this course, we will cover a brief history of Lattice
Boltzmann method and the essentials of statistical
mechanics sufficient to build a background to understand
LBM. The course will be very useful for graduate
students and faculty members to perform simulation and
carry their research on LBM. Also, the course is useful to
engineers in industry for the simulation of more complicated


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