2014 - Fellow of the American Society of Mechanical Engineers
Danesh K. Tafti mainly investigates Mechanics, Reynolds number, Turbulence, Heat transfer and Thermodynamics. His Mechanics research incorporates themes from Solver and Simulation. His biological study spans a wide range of topics, including Flow separation, Louver and Classical mechanics.
His research integrates issues of Navier–Stokes equations and Laminar flow in his study of Turbulence. The study incorporates disciplines such as Hydraulic diameter, Turbine blade, Internal flow, Duct and Meteorology in addition to Heat transfer. His work investigates the relationship between Thermodynamics and topics such as Fin that intersect with problems in Length scale, Flow, Heat exchanger, Drag and Parasitic drag.
Danesh K. Tafti focuses on Mechanics, Reynolds number, Heat transfer, Turbulence and Large eddy simulation. His work carried out in the field of Mechanics brings together such families of science as Duct, Thermodynamics and Classical mechanics. As a member of one scientific family, Danesh K. Tafti mostly works in the field of Reynolds number, focusing on Turbine blade and, on occasion, Internal flow.
His studies deal with areas such as Secondary flow, Meteorology, Fin and Mean flow as well as Heat transfer. His work deals with themes such as Dimple, Laminar flow and Boundary layer, which intersect with Turbulence. His research investigates the link between Large eddy simulation and topics such as Coolant that cross with problems in Composite material.
Danesh K. Tafti mainly focuses on Mechanics, Drag, Heat transfer, Reynolds number and Thrust. His work on Turbulence and Trailing edge as part of general Mechanics research is frequently linked to Immersed boundary method and Order of magnitude, thereby connecting diverse disciplines of science. His Drag research includes elements of Artificial neural network, Test data generation, Machine learning, Artificial intelligence and Leading edge.
His Heat transfer research is multidisciplinary, incorporating elements of Fluidized bed, Thermal conduction, CFD-DEM and Immersed tube. His work in Reynolds number tackles topics such as Suspension which are related to areas like Orientation and Ellipsoid. Danesh K. Tafti interconnects Kinematics, Aerodynamics, Vortex, Flapping and Centripetal force in the investigation of issues within Thrust.
Danesh K. Tafti spends much of his time researching Drag, Mechanics, Artificial neural network, Machine learning and Artificial intelligence. His Drag research includes elements of Suspension and Reynolds number. His research integrates issues of Point particle and Work in his study of Suspension.
His Reynolds number study combines topics from a wide range of disciplines, such as Orientation, Aspect ratio, Representation, Spherical geometry and Ellipsoid. Danesh K. Tafti is studying Turbulence, which is a component of Mechanics. His study in the field of Deep learning is also linked to topics like Context.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimal control and simulation of multidimensional crystallization processes
David L. Ma;Danesh K. Tafti;Richard D. Braatz.
Computers & Chemical Engineering (2002)
Study of discrete test filters and finite difference approximations for the dynamic subgrid‐scale stress model
F. M. Najjar;D. K. Tafti.
Physics of Fluids (1996)
High-Resolution Simulation of Multidimensional Crystal Growth
David L. Ma;Danesh K. Tafti;Richard D. Braatz.
Industrial & Engineering Chemistry Research (2002)
Investigation of dimpled fins for heat transfer enhancement in compact heat exchangers
Mohammad A. Elyyan;Ali Rozati;Danesh K. Tafti.
International Journal of Heat and Mass Transfer (2008)
Heat transfer enhancement mechanisms in inline and staggered parallel-plate fin heat exchangers
L.W. Zhang;S. Balachandar;D.K. Tafti;F.M. Najjar.
International Journal of Heat and Mass Transfer (1997)
Evaluating the role of subgrid stress modeling in a ribbed duct for the internal cooling of turbine blades
International Journal of Heat and Fluid Flow (2005)
Experimental validation of large eddy simulations of flow and heat transfer in a stationary ribbed duct
Evan A. Sewall;Danesh K. Tafti;Andrew B. Graham;Karen A. Thole.
International Journal of Heat and Fluid Flow (2006)
Passive energy recapture in jellyfish contributes to propulsive advantage over other metazoans
Brad J. Gemmell;Brad J. Gemmell;John H. Costello;John H. Costello;Sean P. Colin;Sean P. Colin;Colin J. Stewart.
Proceedings of the National Academy of Sciences of the United States of America (2013)
GenIDLEST: A Scalable Parallel Computational Tool for Simulating Complex Turbulent Flows
D. K. Tafti.
ASME 2001 International Mechanical Engineering Congress and Exposition (2001)
Efficient parallel CFD-DEM simulations using OpenMP
Amit Amritkar;Surya Deb;Danesh Tafti.
Journal of Computational Physics (2014)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: