Zobrazeno 1 - 10
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pro vyhledávání: '"Panda J"'
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 exchanger with twisted tape inserts. The experimental data for the heat excha
Externí odkaz:
http://arxiv.org/abs/2202.00927
In recent times Mechanical and Production industries are facing increasing challenges related to the shift toward sustainable manufacturing. In this article, machining was performed in dry cutting condition with a newly developed coated insert called
Externí odkaz:
http://arxiv.org/abs/2202.00596
Autor:
Panda, J P, Warrior, H V
Computationally efficient and accurate simulations of the flow over axisymmetric bodies of revolution (ABR) has been an important desideratum for engineering design. In this article the flow field over an ABR is predicted using machine learning (ML)
Externí odkaz:
http://arxiv.org/abs/2111.07937
Autor:
Panda, J P
Fluid turbulence is an important problem for physics and engineering. Turbulence modeling deals with the development of simplified models that can act as surrogates for representing the effects of turbulence on flow evolution. Such models correspond
Externí odkaz:
http://arxiv.org/abs/2111.07043
Autor:
Panda, J P
Machine Learning (ML) based algorithms have found significant impact in many fields of engineering and sciences, where datasets are available from experiments and high fidelity numerical simulations. Those datasets are generally utilized in a machine
Externí odkaz:
http://arxiv.org/abs/2109.05574
Autor:
Panda, J P, Warrior, H V
In this article, the mechanics of drag reduction on an axisymmetric body of revolution by shallow dimples is presented by using the high-fidelity Reynolds Stress Modeling based simulations. Experimental results of drag evolution from published litera
Externí odkaz:
http://arxiv.org/abs/2106.15570
Autor:
Panda, J. P., Warrior, H. V.
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 closure approaches. In this article we discuss rationale for the appl
Externí odkaz:
http://arxiv.org/abs/2105.13641
In this article, the hydrodynamic characteristics of Autonomous Underwater Vehicles (AUVs) are investigated and analyzed under the influence of rotating flow fields, that were generated in a recirculating water tank via a rotating propeller. Initiall
Externí odkaz:
http://arxiv.org/abs/2104.13328
Autor:
Panda, J P, Warrior, H V
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 of turbulence stresses and subsequently the other terms of engineering
Externí odkaz:
http://arxiv.org/abs/2103.00907
Publikováno v:
In Alexandria Engineering Journal 1 November 2023 82:82-100
