5 citations · 7 across the 6 of their papers we have counts for
8 papers · 1 filter
Machine learning assisted modeling of thermohydraulic correlations for heat exchangers with twisted tape inserts
J. P. Panda, B. Kumar, A. K. Patil +1
This article presents the application of machine learning (ML) algorithms in modeling of the heat transfer correlations (e.g. Nusselt number and friction factor) for a heat exchang…
Evaluation of machine learning algorithms for predictive Reynolds stress transport modeling
J. P. Panda, H. V. Warrior
The application machine learning (ML) algorithms to turbulence modeling has shown promise over the last few years, but their application has been restricted to eddy viscosity based…
Modelling the Pressure Strain Correlation in turbulent flows using Deep Neural Networks
J P Panda, H V Warrior
The pressure strain correlation plays a critical role in the Reynolds stress transport modelling. Accurate modelling of the pressure strain correlation leads to proper prediction o…
Experimental and numerical investigation of the hydrodynamic characteristics of Autonomous Underwater Vehicles over sea-beds with complex topography
A. Mitra, J. P. Panda, H. V. Warrior
Improved designs for Autonomous Underwater Vehicles (AUV) are becoming increasingly important due to their utility in academic and industrial applications. However, a majority of s…
The effects of free stream turbulence on the hydrodynamic characteristics of an AUV hull form
A. Mitra, J. P. Panda, H. V. Warrior
This article presents experimental and numerical studies on the effect of free stream turbulence on evolution of flow over an autonomous underwater vehicle (AUV) hull form at three…
Pressure strain correlation modelling for turbulent flows
Jyoti Prakash Panda
Accurate and robust models for the pressure strain correlation are an essential component for the success of Reynolds Stress Models in turbulent flow simulations. However replicati…