Multiphase Flow

When a bubble ascends in an electric field, vortices form due to variations in electrical conductivity and permittivity ratios. These vortices cause deformation. In column (a) without an electric field, no vortices are seen during bubble ascent. In columns (b) and (c) with an electric field, (b) depicts horizontal deformation, while (c) shows vertical deformation. Clear vortices appear outside the bubble in both cases. Physics of Fluid 2023

Taylor drop rising in a non-Newtonian liquid. We have investigated the dynamics of a Taylor drop rising under the influence of non-Newtonian continuous phase. Silicone oils and Sodium Carboxymethyl Cellulose (CMC) solutions are used as dispersed and continuous phases, respectively. Industrial & Engineering Chemistry Research, 2023

Charge density distribution and streamlines. EHD assissted melting in a square cavity with a circular electrode was studied. A paramteric study was conducted to investigate the influence of relative strengths of Coulomb and buoyancy forces. International Journal of Heat and Mass Transfer, 2022

Velocity and vapour fraction contours obtained using URANS-DCM model. A study was performed to compare the efficacy of different modelling approaches to predict turbulence and cavitation-induced phase changes. International Journal of Numerical Methods for Heat & Fluid Flow, 2022

Vorticity contours due to flow past elliptic cylinder. A numerical study was conducted to analyze the wake of an elliptic cylinder in the presence of fluid-fluid interface. ASME Journal of Fluids Engineering, 2020

Heat Transfer

Heat transfer enhancement in a minichannel heat sink using EHD-induced active vortices. In this study, Onsager-Wien effect induced EHD conduction pumping is employed to disrupt the thermal boundary layer and enhance heat transfer.
Applied Thermal Engineering, 2023

Streamlines and isotherms over a backward facing step for different types of stationary fin arrangement. The study compared heat transfer performance by different stationary fin arrangements with that by oscillating fin.
International Journal of Heat and Mass Transfer, 2019

Turbulent shear stress and turbulent kinetic energy the center plane of square duct roughened with square (SQ) rib, Backward step (BS) rib, and Forward step (FS) rib . The aim of the study was to understand the effect of rotation on heat transfer of a square ribbed duct using Large Eddy Simulation. Numerical Heat Transfer – Part A Application, 2021

Vorticity contours for fluid flow past four elliptic cylinders. The study looked at influence of cylinder arrangement on heat transfer characteristics was investigated. Heat Transfer Engineering, 2021

Instantaneous and time-averaged isotherms from the control rod in unbound condition. In this study, the influence of the wall proximity on the heat transfer for flow past a cylinder with an upstream control rod was investigated and compared with that of an unbound condition. Numerical Heat Transfer – Part A Application, 2013

Turbulence Modelling

Turbulent viscosity predicted by different hybrid models for flow in a cyclone separator. The study explored three different hybrid LES/RANS approaches, namely, detached eddy simulation (DES), delayed detached eddy simulation (DDES), and improved delayed detached eddy simulation (IDDES) for flow in cyclone separator. ASME Journal of Fluids Engineering, 2022

Mean span-wise vorticity for uniform flow past two unequal sized square cylinders arranged side-by-side. LES technique was employed to simulate flow for different transverse gaps. International Journal of Computational Fluid Dynamics, 2009

Instantaneous vortical structures for flow past a square cylinder. Large eddy simulation of planar shear flow past a bluff body was studied. International Journal of Computational Fluid Dynamics, 2009

Time-averaged streamlines from non-linear k–ε, improved k–ω and DNS for flow over a wall mounted cube. The study compared the predictions by two equation turbulence models for complex flow structure over the cube. International Journal of Heat and Mass Transfer, 2008

Unsteady Aerodynamics

Lagrangian coherent structures along the spanwise axis of different wings. In this study, the aerodynamics of flapping wings sujected to gusty inflow was investigated. The Aeronautical Journal, 2019

Time evolution of vorticity and pressure contours for tandem flapping wings. The study focussed on the ground effect on the aerodynamics of tandem flapping wings. Computers and Fluids, 2017

Instantaneous vorticity contours from a rotating cylinder. Laminar flow past a rotating cylinder near a plane wall was studied using immersed boundary method to understand the effects of wake-wall interactions. Journal of Ocean Engineering, 2017

Contours of vorticity from flapping wings. A 2D numerical study was conducted to investigate the unsteady aerodynamic forces acting on falpping insect wings. Computers and Fluids, 2010

Research Collaborations
Name University
Professor Danesh K Tafti Department of Mechanical Engineering, Virginia Tech, USA
Professor Andre Benard Department of Mechanical Engineering, Michigan State University, USA.
Professor P.Nithiarasu Swasea University, UK
Professor Satoshi Yokojima Shizuoka University, Japan
Dr. Srinidhi N.G University of Twente, Netherlands
Dr. Deepthi UWE Bristol, UK
Dr. Immanuvel Paul Newcastle University, UK
Dr. Y. Sudhakar IIT Goa
Professor YVSS Sanyasiraj Department of Mathematics, IITM
Professor Dhiman Chatterjee Department of Mechanical Engineering, IITM
Professor Ramkumar Department of Mechanical Engineering, IITM
Professor Srinivas Jayanthi Department of Chemical Engineering, IITM
Professor G Saravana Kumar Department of Engineering Design, IITM
Professor Sarith Sathian Department of Applied mechanics and Biomedical Engineering, IITM
Professor Anubhab Roy Department of Applied mechanics and Biomedical Engineering, IITM
Professor K. Arul Prakash Department of Applied mechanics and Biomedical Engineering, IITM
Computing Resources
System Cores CPU RAM (GB)
Master Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz 8 16 161
Node 1 Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz 10 20 161
Node 2 Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz 10 40 161
Node 3 Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz 10 32 126
Node 4 Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz 10 32 126