Computational Flow Modelling (CFD)

Computational Modelling of Mixing and Segregation in Crude Tanks

Crude oil stored in tanks often get segregated due to variations in their density coming from different sources, or due to the presence of water. Agitators used to mix the fluids are not efficient in achieving a uniform density. It is needed to understand the origin of this inefficiency and design the selection and placement of agitators. We will adopt a theoretical and computational methodology to study the problem and come up with designs that can be tested on the field.

Proposing Faculty
Research Area
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability

Jetting and droplet formation in two phase flows

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Proposing Faculty
Research Area
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability

Atomization: Break-up of thin liquid sheets

The process of atomization, which involves the break-up of a mass of liquid into tiny droplets, plays an important role in many industrial applications such as spray combustion, spray painting, agricultural sprays, ink jet printing, and powdered milk processing to name a few. One of the main objectives of the atomization process is to control the drop size distribution so as to achieve the desired process efficiently.  read more »

Proposing Faculty
Research Area
  • Coatings
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability

Discrete Element Method (DEM) simulation for structure of fractal aggregates and their hydrodynamic properties

A simulation project for estimating mobility of nano-particle aggregates. These are looslely packed, non-spherical fluffy structures formed during processes such as synthesis of catalyst particles, transport of nano-particle slurries, transport of pollutants, etc..  read more »

Proposing Faculty
Research Area
  • Aerosols
  • Climate Change
  • Colloids
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability
  • Molecular Simulations
  • Nanoparticles
  • Pollution
  • Reactor Modelling
  • Rheology

Design of microfluidic device for sorting of biological cells.

Microfluidics has
emerged as an important area of study because of its potential applications in
new technologies. Some of the advantages of microfluidics are low cost, low
volumes, fast response time, flow reversibility, real time imaging to name a
few. The project is aimed at designing microfluidic devices for high throughput
applications such as analysis and sorting of biological cell populations. To
this end mathematical modeling and computer simulation will be employed and the
optimal designs will subsequently be experimentally validated.
 read more »

Proposing Faculty
Research Area
  • Computational Flow Modelling (CFD)
  • Modelling
  • Optimisation
  • Process Control

Mathematical Analysis of Phoretic Motion

A suspension of colloidal particles can be subjected to various intermolecular forces that can lead to their mean motion, resulting in some intriguing macroscopic flows. This study will focus on the mathematical modelling and analysis, using semi-analytical and numerical methods to understand these flows.

Keywords: Diffusiophoresis, Electro-osmosis, Transport Phenomena, Computational Fluid Dynamics

Proposing Faculty
Research Area
  • Colloids
  • Computational Flow Modelling (CFD)
  • Electrohydrodynamics
  • Fluid Mechanics and Stability
  • Heat and Mass Transfer

Fluid flow on an inclined plane: Experiments and simulations (joint supervision with Prof. Partha S. Goswami)

Fluid flow on an inclined plane: Experiments and simulations (joint supervision with Prof. Partha S. Goswami)  read more »

Proposing Faculty
Research Area
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability

Modeling and experiments with enzymes or nanoparticles in a porous adsorbent for catalytic applications (TA/FA)

Comparison of a continuum model (based on mass and momentum balances), possibly with a stochastic simulation (based on a Brownian diffusion algorithm) has to be performed, to evaluate the efficacy of catalytic properties of enzyme and metal nanoparticles, embedded in a porous, solid, particulate host. Further input into the model may come from detailed molecular simulation of flow of an aqueous solution past a nanoparticle, embedded on a host.  read more »

Proposing Faculty
Research Area
  • Catalysis
  • Colloids
  • Computational Flow Modelling (CFD)
  • Molecular Simulations
  • Nanoparticles
  • Porous Media
Ratul Dasgupta

Functional Nanoparticles: Experiments, modeling, simulation (TA/FA)

Nanoparticles and their clusters show new and interesting properties different from bulk
materials due to their extremely small size (diameter) and large specific
surface area. It is thus critical to understand the variables that control
its formation leading to a desired property. Control of nanoparticle size,
size distribution and particle-cluster formation is the first step in all these applications. To gain
further insight into the mechanism of formation of nanoparticles and its clusters, we will  read more »

Proposing Faculty
Research Area
  • Colloids
  • Computational Flow Modelling (CFD)
  • Molecular Simulations
  • Nanoparticles
  • Polymer Physics
  • Surface Science
  • Surfactants