KANNAN B T
SRM UNIVERSITY, Aerospace Engineering, Faculty Member
- IIT Madras, Aerospace Engineering, Department Memberadd
- Aerospace Engineering, Computational Fluid Dynamics, Aeronautical Engineering, Fluid Dynamics, Aerodynamics, Turbulence, and 70 moreJet Impingement Heat Transfer, Reyleigh Bernard Convection, Fluid Mechanics, Turbulence Modelling, Low Speed Aerodynamics, Turbulent Flows, Fluids, World University Rankings, Numerical and Experimental Methods in Fluid Dynamics, Aeronautical, Convection, Smoothed Particle Hydrodynamics, High Speed Aerodynamics, Direct Numerical Simulation, Turbulence modeling, Multiphase flows, Large Eddy Simulation, Transport Phenomena in Porous Media, Transport phenomena, Propulsion, Aeroacoustics, Aeronautics, Turbulent Jets and Plumes, Doctoral education, Unmanned Aerial Vehicles, Bio Fluid Mechanics, LES and DNS, Combustion, Aerospace, Vehicle Aerodynamics, Computational Fluid Dynamics (CFD) modelling and simulation, Experimental Aerodynamics, Bubble Dynamics, Heat and Mass Transfer, Higher Education Policy, Critical Thinking in Doctoral studies, Computational Fluid Mechanics, Wind tunnel testing, Space Propulsion, Aeronautics and aerospace, Unmanned Aerial Vehicle (UAV), Particle image velocimetry (PIV), Rocket Propulsion, Heat Transfer, Airworthiness and Aircraft Accident Investigation, Jet Turbulence, Exergy Analysis, Mass Transfer, Natural and mixed convection, Combustion modelling, Turbulent jet (unconfined ), Natural Convection, Wall Jets, Fluid flow in porous media, CFD Analysis, Doctoral Supervision, Flow Control, Turbomachinery Aerodynamics, Biomedical fluid mechanics, GAS TURBINE, Boundary Layers, Applied Mechanics, Unsteady RANS, Phd Writing, Natural ventilation as a passive cooling strategy, Experimental Fluid Dynamics, Vortex dynamics, Wind Turbines, Airport Planning, and MHD (Fluid Dynamics)(Jet Impingement Heat Transfer, Reyleigh Bernard Convection, Fluid Mechanics, Turbulence Modelling, Low Speed Aerodynamics, Turbulent Flows, Fluids, World University Rankings, Numerical and Experimental Methods in Fluid Dynamics, Aeronautical, Convection, Smoothed Particle Hydrodynamics, High Speed Aerodynamics, Direct Numerical Simulation, Turbulence modeling, Multiphase flows, Large Eddy Simulation, Transport Phenomena in Porous Media, Transport phenomena, Propulsion, Aeroacoustics, Aeronautics, Turbulent Jets and Plumes, Doctoral education, Unmanned Aerial Vehicles, Bio Fluid Mechanics, LES and DNS, Combustion, Aerospace, Vehicle Aerodynamics, Computational Fluid Dynamics (CFD) modelling and simulation, Experimental Aerodynamics, Bubble Dynamics, Heat and Mass Transfer, Higher Education Policy, Critical Thinking in Doctoral studies, Computational Fluid Mechanics, Wind tunnel testing, Space Propulsion, Aeronautics and aerospace, Unmanned Aerial Vehicle (UAV), Particle image velocimetry (PIV), Rocket Propulsion, Heat Transfer, Airworthiness and Aircraft Accident Investigation, Jet Turbulence, Exergy Analysis, Mass Transfer, Natural and mixed convection, Combustion modelling, Turbulent jet (unconfined ), Natural Convection, Wall Jets, Fluid flow in porous media, CFD Analysis, Doctoral Supervision, Flow Control, Turbomachinery Aerodynamics, Biomedical fluid mechanics, GAS TURBINE, Boundary Layers, Applied Mechanics, Unsteady RANS, Phd Writing, Natural ventilation as a passive cooling strategy, Experimental Fluid Dynamics, Vortex dynamics, Wind Turbines, Airport Planning, and MHD (Fluid Dynamics))edit
- Dr. KANNAN B T, Ph.D, M.I.E, C.Eng (I) is an Aerodynamicist & Information Scientist. PhD in Aerospace Engineering (... moreDr. KANNAN B T, Ph.D, M.I.E, C.Eng (I) is an Aerodynamicist & Information Scientist.
PhD in Aerospace Engineering (Aerodynamics) from IIT Madras.
M.B.A in Airline & Airport Management from Manonmaniam Sundaranar University, India.
M.E in Aeronautical Engineering from Hindustan University, Chennai, India.
B.E in Aeronautical Engineering from Anna University - Chennai, India.
Areas of expertise include Fluid Mechanics, Aerodynamics, Turbulence, Heat Transfer and CFD using OpenFOAM.
Present research interests include Multiphase flows, Jet flows, Aero-acoustics and Automotive Aerodynamics.
--(Dr. KANNAN B T, Ph.D, M.I.E, C.Eng (I) is an Aerodynamicist & Information Scientist. <br /><br />PhD in Aerospace Engineering (Aerodynamics) from IIT Madras.<br />M.B.A in Airline & Airport Management from Manonmaniam Sundaranar University, India. <br />M.E in Aeronautical Engineering from Hindustan University, Chennai, India. <br />B.E in Aeronautical Engineering from Anna University - Chennai, India. <br /><br /> Areas of expertise include Fluid Mechanics, Aerodynamics, Turbulence, Heat Transfer and CFD using OpenFOAM. <br /><br />Present research interests include Multiphase flows, Jet flows, Aero-acoustics and Automotive Aerodynamics.<br /><br />--)edit
Purpose: This study aims to investigate the effects of nozzle momentum flux distribution on the flow field characteristics. Design/methodology/approach : The nozzle configuration consists of a central nozzle surrounded by four nozzles.... more
Purpose: This study aims to investigate the effects of nozzle momentum flux distribution on the flow field characteristics.
Design/methodology/approach : The nozzle configuration consists of a central nozzle surrounded by four nozzles. All nozzles have same diameter and constant separation between nozzles. OpenFOAM® is used for simulating the jet flow. Reynolds Averaged Navier Stokes (RANS) equations are solved iteratively with a first order closure for turbulence. Pitot-static tube with differential pressure transducer is used for mean velocity measurements. The comparison of computed results with experimental data shows similar trend and acceptable validation.
Findings: According to the results, the momentum flux distribution significantly alters the near field of multiple turbulent round jets. Highly non-linear decay region in the near field is found for the cases having higher momentum in the outer jets. As a result of merging, increased positive pressure is found in the mixing region. Higher secondary flows and wider mixing region are reported as a result of momentum transfer from axial to lateral directions by Reynolds stresses.
Research limitations/implications : The present study is limited to isothermal flow of air jet in air medium.
Social implications: Optimum momentum flux distribution in multijet injector of a combustor can reap better mixing leading to better efficiency and lesser environmental pollution.
Originality/value: As summary, the contributions of this paper in the field of turbulent jets are following: simulations for various momentum distribution cases have been performed. In all the cases, the flow at the nozzle exit is subsonic along with constant velocity profile. To simulate proper flow field, a large cylinder type domain with structured grid is used with refinements towards the nozzle exit and jet axis. The results show that the non-linearity increases with increase in momentum of outer jets. Longer merging zones are reported for cases with higher momentum in outer nozzles using area averaged turbulent kinetic energy. Similarly, wider mixing regions are reported using secondary flow parameter and visualizations.
Design/methodology/approach : The nozzle configuration consists of a central nozzle surrounded by four nozzles. All nozzles have same diameter and constant separation between nozzles. OpenFOAM® is used for simulating the jet flow. Reynolds Averaged Navier Stokes (RANS) equations are solved iteratively with a first order closure for turbulence. Pitot-static tube with differential pressure transducer is used for mean velocity measurements. The comparison of computed results with experimental data shows similar trend and acceptable validation.
Findings: According to the results, the momentum flux distribution significantly alters the near field of multiple turbulent round jets. Highly non-linear decay region in the near field is found for the cases having higher momentum in the outer jets. As a result of merging, increased positive pressure is found in the mixing region. Higher secondary flows and wider mixing region are reported as a result of momentum transfer from axial to lateral directions by Reynolds stresses.
Research limitations/implications : The present study is limited to isothermal flow of air jet in air medium.
Social implications: Optimum momentum flux distribution in multijet injector of a combustor can reap better mixing leading to better efficiency and lesser environmental pollution.
Originality/value: As summary, the contributions of this paper in the field of turbulent jets are following: simulations for various momentum distribution cases have been performed. In all the cases, the flow at the nozzle exit is subsonic along with constant velocity profile. To simulate proper flow field, a large cylinder type domain with structured grid is used with refinements towards the nozzle exit and jet axis. The results show that the non-linearity increases with increase in momentum of outer jets. Longer merging zones are reported for cases with higher momentum in outer nozzles using area averaged turbulent kinetic energy. Similarly, wider mixing regions are reported using secondary flow parameter and visualizations.
Research Interests: Computational Fluid Dynamics, Fluid Mechanics, Turbulence, Turbulence Modelling, Computational Fluid Mechanics, and 26 moreCombustion, Fluid Dynamics, Turbulent Flows, Combustion modelling, Internal Combustion Engines, Oxy-Fuel Combustion, Internal Combustion Engine, Mixing, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, HCCI Combustion Engine, Turbulent boundary layer, Mecanica de los Fluidos, Direct-Injection Gasoline Engines, Turbulent Flow, Turbulence modelling using CFD, Fluid flow, Fuel injection, Jet Propulsion, Turbulence Model, Fuel Injection System, Two-equation Turbulence Models, Turbulence Models, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics(Combustion, Fluid Dynamics, Turbulent Flows, Combustion modelling, Internal Combustion Engines, Oxy-Fuel Combustion, Internal Combustion Engine, Mixing, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, HCCI Combustion Engine, Turbulent boundary layer, Mecanica de los Fluidos, Direct-Injection Gasoline Engines, Turbulent Flow, Turbulence modelling using CFD, Fluid flow, Fuel injection, Jet Propulsion, Turbulence Model, Fuel Injection System, Two-equation Turbulence Models, Turbulence Models, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics)
(Combustion, Fluid Dynamics, Turbulent Flows, Combustion modelling, Internal Combustion Engines, Oxy-Fuel Combustion, Internal Combustion Engine, Mixing, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, HCCI Combustion Engine, Turbulent boundary layer, Mecanica de los Fluidos, Direct-Injection Gasoline Engines, Turbulent Flow, Turbulence modelling using CFD, Fluid flow, Fuel injection, Jet Propulsion, Turbulence Model, Fuel Injection System, Two-equation Turbulence Models, Turbulence Models, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics)
Turbulent jet flows with multiple nozzle inlets are investigated computationally using OpenFOAM. The configurations vary from single to five axisymmetric nozzles. First order closure is used with Reynolds Averaged Navier-Stokes equations.... more
Turbulent jet flows with multiple nozzle inlets are investigated computationally using OpenFOAM. The configurations vary from single to five axisymmetric nozzles. First order closure is used with Reynolds Averaged Navier-Stokes equations. Computed results are compared with the available experimental data. The effect of nozzle configuration on the jet flow field is discussed with predicted mean flow and turbulent flow data. Near field of multiple jets shows non-linear behavior. Multiple jets show better performance in the near field based on entrainment, secondary flows and area averaged turbulent kinetic energy. The downstream evolution of multiple jets differs for configurations with and without central jet. The shape parameter confirms the evolution of multiple jets towards an axisymmetric jet.
Research Interests: Computational Fluid Dynamics, Fluid Mechanics, Turbulence, Turbulence Modelling, Computational Fluid Mechanics, and 15 moreFluid Dynamics, Turbulent Flows, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, Mecanica de los Fluidos, Turbulent Flow, Fluid flow, Momentum, Kinetic Energy, Turbulence Model, Velocity Profile, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics(Fluid Dynamics, Turbulent Flows, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, Mecanica de los Fluidos, Turbulent Flow, Fluid flow, Momentum, Kinetic Energy, Turbulence Model, Velocity Profile, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics)
(Fluid Dynamics, Turbulent Flows, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, Mecanica de los Fluidos, Turbulent Flow, Fluid flow, Momentum, Kinetic Energy, Turbulence Model, Velocity Profile, Computational Fluids Dynamics (CFD), Jet Turbulence, and Numerical and Experimental Methods in Fluid Dynamics)
Conventional method of defining half velocity widths is applicable only for axisymmetric jets. Hence, geometry based definition of half velocity width is used for non-circular jets. Usefulness of this method becomes less when there is no... more
Conventional method of defining half velocity widths is applicable only for axisymmetric jets. Hence, geometry based definition of half velocity width is used for non-circular jets. Usefulness of this method becomes less when there is no symmetry based on geometry. Hence, a new half velocity width is proposed based on equivalent area method. Newly proposed half velocity width is computed for a conventional circular jet and a non-circular jet. The comparison of half velocity widths obtained using conventional method and newly proposed method shows good agreement with each other for circular jet. Geometry based half width and equivalent area based half velocity width agree in the near field for the non-circular jet. Equivalent area based method is found as better representation of half velocity width for non-circular turbulent jets.
Research Interests: Engineering, Mechanical Engineering, Civil Engineering, Aerospace Engineering, Computational Fluid Dynamics, and 24 moreFluid Mechanics, Turbulence, Design Methods, Methodology, Aeronautical Engineering, Aerodynamics, Aerospace, Low Speed Aerodynamics, High Speed Aerodynamics, Fluid Dynamics, Turbulent Flows, Fluids, Turbulent Jets and Plumes, Computational Fluid Dynamics (CFD) modelling and simulation, Mecanica de los Fluidos, Turbulent Flow, Aeronautics, Jet Impingement Heat Transfer, Water Jet, Natural ventilation as a passive cooling strategy, Turbulent Mixing, Turbulent jet (unconfined ), Measurements of entrainment and mixing in turbulent jets, and Heat Transfer Fluid Mechanics CFD(Fluid Mechanics, Turbulence, Design Methods, Methodology, Aeronautical Engineering, Aerodynamics, Aerospace, Low Speed Aerodynamics, High Speed Aerodynamics, Fluid Dynamics, Turbulent Flows, Fluids, Turbulent Jets and Plumes, Computational Fluid Dynamics (CFD) modelling and simulation, Mecanica de los Fluidos, Turbulent Flow, Aeronautics, Jet Impingement Heat Transfer, Water Jet, Natural ventilation as a passive cooling strategy, Turbulent Mixing, Turbulent jet (unconfined ), Measurements of entrainment and mixing in turbulent jets, and Heat Transfer Fluid Mechanics CFD)
(Fluid Mechanics, Turbulence, Design Methods, Methodology, Aeronautical Engineering, Aerodynamics, Aerospace, Low Speed Aerodynamics, High Speed Aerodynamics, Fluid Dynamics, Turbulent Flows, Fluids, Turbulent Jets and Plumes, Computational Fluid Dynamics (CFD) modelling and simulation, Mecanica de los Fluidos, Turbulent Flow, Aeronautics, Jet Impingement Heat Transfer, Water Jet, Natural ventilation as a passive cooling strategy, Turbulent Mixing, Turbulent jet (unconfined ), Measurements of entrainment and mixing in turbulent jets, and Heat Transfer Fluid Mechanics CFD)
The present work is a numerical investigation which examines the effects of geometric parameters on the axisymmetric jet impingement heat transfer. Two cases are considered such as flat plate, and grooved plate. Nozzle diameter (d) of 2... more
The present work is a numerical investigation which examines the effects of geometric parameters on the axisymmetric jet impingement heat transfer. Two cases are considered such as flat plate, and grooved plate. Nozzle diameter (d) of 2 cm is fixed as constant, nozzle-to-plate spacing (H) of 4cm is used for validation and 8cm for all the other simulations. The jet flow is in the range of fully turbulent flow with Reynolds number of 23,000. Grid independent study reveals each model has its own style of dependency. Validation of the turbulence model for H/d=2 shows secondary peak at exact location. Results about effect of grooves are discussed in detail based on the surface Nusselt number and averaged Nusselt number.
Research Interests: Heat Transfer, Heat and Mass Transfer, Computational Fluid Dynamics (CFD) modelling and simulation, CFD Analysis, CFD and AERODYNAMICS, and 7 moreCFD and numerical grid generation, Turbine Design, Gas Turbines Applications, Onshore/Offshore Wind Turbines, Renewable Energy Technologies, Environmental Engineering, CFD, CFD fluent, Computational Fluid Dynamics ( CFD) Modeling and Simulation, CFD simulation, Computational Fluids Dynamics (CFD), and Heat Transfer Fluid Mechanics CFD(CFD and numerical grid generation, Turbine Design, Gas Turbines Applications, Onshore/Offshore Wind Turbines, Renewable Energy Technologies, Environmental Engineering, CFD, CFD fluent, Computational Fluid Dynamics ( CFD) Modeling and Simulation, CFD simulation, Computational Fluids Dynamics (CFD), and Heat Transfer Fluid Mechanics CFD)
(CFD and numerical grid generation, Turbine Design, Gas Turbines Applications, Onshore/Offshore Wind Turbines, Renewable Energy Technologies, Environmental Engineering, CFD, CFD fluent, Computational Fluid Dynamics ( CFD) Modeling and Simulation, CFD simulation, Computational Fluids Dynamics (CFD), and Heat Transfer Fluid Mechanics CFD)
The present work is a numerical simulation of a turbulent free jet issuing from an axisymmetric orifice into quiescent air environment. The numerical simulation was carried out by solving the Reynolds Averaged Navier-Stokes equations... more
The present work is a numerical simulation of a turbulent free jet issuing from an axisymmetric orifice into quiescent air environment. The numerical simulation was carried out by solving the Reynolds Averaged Navier-Stokes equations using OpenFOAM. The standard two-equation k-ɛ eddy viscosity turbulence model was used to simulate the turbulent flow field in a three dimensional cylindrical domain. The numerical predictions are compared with experimental data in order to assess the capability/limitations of the turbulence model to reproduce the physics involved and the code using jet case examined in this work. The standard k-ɛ model predictions in terms of centre line mean velocity decay, spread rate, entrainment, self-similarity, turbulence intensities and Reynolds stress, are found to reproduce the physics of the jet flow and agree approximately with experimental data. New information such as evolution of turbulent kinetic energy budget, length scales and time scales is provided.
Research Interests: Computational Fluid Dynamics, Computational Mechanics, Fluid Mechanics, Turbulence, Turbulence Modelling, and 27 moreComputational Fluid Mechanics, Computational Modelling, Fluid Dynamics, Turbulent Flows, Computational Mathematics, Turbulent Jets and Plumes, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, CFD Analysis, Computational Science and Engineering, Mecanica de los Fluidos, OpenFOAM, CFD and AERODYNAMICS, Turbulent Flow, Turbulence modelling using CFD, CFD and numerical grid generation, Turbulent jet (unconfined ), Computational Fluid Dynamics ( CFD) Modeling and Simulation, Turbulence Model, CFD simulation, Turbulence Models, Open Source CFD, Computational Fluids Dynamics (CFD), Jet Turbulence, Heat Transfer Fluid Mechanics CFD, and Cfd(Computational Fluid Mechanics, Computational Modelling, Fluid Dynamics, Turbulent Flows, Computational Mathematics, Turbulent Jets and Plumes, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, CFD Analysis, Computational Science and Engineering, Mecanica de los Fluidos, OpenFOAM, CFD and AERODYNAMICS, Turbulent Flow, Turbulence modelling using CFD, CFD and numerical grid generation, Turbulent jet (unconfined ), Computational Fluid Dynamics ( CFD) Modeling and Simulation, Turbulence Model, CFD simulation, Turbulence Models, Open Source CFD, Computational Fluids Dynamics (CFD), Jet Turbulence, Heat Transfer Fluid Mechanics CFD, and Cfd)
(Computational Fluid Mechanics, Computational Modelling, Fluid Dynamics, Turbulent Flows, Computational Mathematics, Turbulent Jets and Plumes, Turbulence modeling, Computational Fluid Dynamics (CFD) modelling and simulation, Turbulent boundary layer, CFD Analysis, Computational Science and Engineering, Mecanica de los Fluidos, OpenFOAM, CFD and AERODYNAMICS, Turbulent Flow, Turbulence modelling using CFD, CFD and numerical grid generation, Turbulent jet (unconfined ), Computational Fluid Dynamics ( CFD) Modeling and Simulation, Turbulence Model, CFD simulation, Turbulence Models, Open Source CFD, Computational Fluids Dynamics (CFD), Jet Turbulence, Heat Transfer Fluid Mechanics CFD, and Cfd)
This work reports the evolution of multiple turbulent jets that emanate from axisymmetric nozzles arranged in a particular configuration. Five cases were considered for this work. Reynolds number based on the equivalent diameter was kept... more
This work reports the evolution of multiple turbulent jets that emanate from axisymmetric nozzles arranged in a particular configuration. Five cases were considered for this work. Reynolds number based on the equivalent diameter was kept constant for all the cases. The measurements along the geometric centreline provides details about the axial evolution. Profiles of measured mean velocity shows the merger and growth of multiple jets at various axial downstream locations. Non-linear behaviour of multiple jets was found in the near field region. The evolutions of flow from nozzle configurations with and without central jets were found to be different.