Computational Flow Modelling (CFD)

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

Thin Film flow over topography

Many chemical engineering applications involve coating a substrate with a film of macroscopic thickness. Frequently such substrates are patterned which lead to perturbations on the coating flowing film. Most of the modelling studies use lubrication approximation to study these, neglecting inertial effects as a first approximation. The presence of a topographic pattern can lead to inertial effects becoming significant with the possibility of interactions between topographic and inertial effects. This project aims to understand the resultant instabilities on such thin films due to topography.  read more »

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

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 of enzyme 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

Porous carbon and silica based nanocomposites: Synthesis, dynamics and applications (TA/FA)

We synthesize porous carbon and silica nanoparticles as host nanomaterials; which we
functionalize and impregnate with a second nanoparticle or enzyme. The resulting hybrids
are desirable in catalysis and sensor applications, respectively; primarily because of their
large solid-fluid interfacial area and thermochemically inert, stable host environment. In this project, one
can perform both continuum scale modeling and atomic scale simulations, to investigate nanoparticle
structure, location and related adsorption and diffusion issues in nanopores as a function of pore diameter  read more »

Proposing Faculty
Research Area
  • Adsorption
  • Catalysis
  • Colloids
  • Computational Flow Modelling (CFD)
  • Enzymology
  • Molecular Simulations
  • Nano-composites
  • Porous Media
  • Surface Science