1 citations · 1 across the 7 of their papers we have counts for
7 papers
Macroscale vortex impingement at a porous-fluid interface induces local heat-transfer enhancement
Thibaut K. Kemayo, Vishal Srikanth, Justin Courter +2
Externally generated wakes can impinge on porous layers in several practical heat transfer applications. However, the transport of these macroscale vortices and their resulting inf…
Scale Collapse of Vortices at Porous-Fluid Interfaces
Justin Courter, Vishal Srikanth, Thibaut Kemayo +1
The interaction between externally generated turbulence and porous media is central to many engineering and environmental flows, yet the fate of macroscale vortical structures at a…
Turbulence Kinetic Energy Distribution and Heat Transfer in a Porous Layer Induced by Bluff Body Vortex Shedding
Thibaut K Kemayo, Justin Courter, Vishal Srikanth +3
When a turbulent vortex impinges on a porous layer, it creates a complex multiscale interaction: the wake structures that form in the free fluid engage with the intricate geometry…
Instabilities and bifurcations in turbulent porous media flow
Vishal Srikanth, Andrey V. Kuznetsov
Microscale turbulent flow in porous media is conducive to the development of flow instabilities due to strong vortical and shearing flow occurring within the pore space. When the f…
Symmetry-Breaking of Turbulent Flow in Periodic Porous Media at Intermediate Porosities
Vishal Srikanth, Andrey V Kuznetsov
This paper presents a novel discovery of a symmetry-breaking effect in porous media with porosity between 0.8-0.9, which we are referring to as the intermediate porosity flow regim…
Symmetry-breaking of turbulent flow due to asymmetric vortex shedding in periodic porous media
Vishal Srikanth, Andrey V. Kuznetsov
In this paper, we report new insight into a symmetry-breaking phenomenon that occurs for turbulent flow in periodic porous media composed of cylindrical solid obstacles with circul…
Convolution Neural Network Model Framework to Predict Microscale Drag Force for Turbulent Flow in Porous Media
Vishal Srikanth, Andrey V. Kuznetsov
Convolution Neural Networks (CNN) are well-suited to model the nonlinear relationship between the microscale geometry of porous media and the corresponding flow distribution, there…