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Numerical simulation of free surface water waves around wavy hydrofoils: Prediction of hydrodynamic coefficients using machine learning
This study uses computational methods to investigate the fluid flow characteristics around a
wavy NACA 63 (4)-021 hydrofoil near the water surface. It introduces notable contributions …
wavy NACA 63 (4)-021 hydrofoil near the water surface. It introduces notable contributions …
Assessment of the dispersion of pollutants from automobile exhaust, taking into account relative humidity, pavement temperature, wind direction and speed, which …
A Issakhov, A Abylkassymova - … Communications in Heat and Mass Transfer, 2024 - Elsevier
This paper investigates the spread of pollutants in a residential area of Almaty city. To
implement the problem, special attention is paid to taking into account real weather …
implement the problem, special attention is paid to taking into account real weather …
[HTML][HTML] Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models
Currently, there is a growing industry-wide focus on enhancing the thermohydraulic
performances of devices, with the goal of achieving more efficient energy management …
performances of devices, with the goal of achieving more efficient energy management …
[HTML][HTML] On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance
Microfin design for industrial applications has been extensively studied in the past, but the
use of innovative techniques that can reveal hitherto unfamiliar morphologies realizable with …
use of innovative techniques that can reveal hitherto unfamiliar morphologies realizable with …
[HTML][HTML] Non-intrusive, transferable model for coupled turbulent channel-porous media flow based upon neural networks
Turbulent flow over permeable interfaces is omnipresent featuring complex flow topology. In
this work, a data-driven, end-to-end machine learning model has been developed to model …
this work, a data-driven, end-to-end machine learning model has been developed to model …