Optimization of painting efficiency applying unique techniques of high-voltage conductors and nitrotherm spray: Developing deep learning models using computational fluid dynamics dataset
Mohammad-Reza Pendar(University of Beira Interior), José Páscoa(University of Beira Interior), Sílvio Cândido(University of Beira Interior)
Cited by 25
Related Papers
Dynamics of three-dimensional electrohydrodynamic instabilities on Taylor cone jets using a numerical approach
|Physics of Fluids|2023|27
Optimizing aerodynamic stability in compressible flow around a vibrating cylinder with deep reinforcement learning
|Physics of Fluids|2024|21
On modal decomposition as surrogate for charge-conservative EHD modelling of Taylor Cone jets
|International Journal of Engineering Science|2023|14
Development of a Background-Oriented Schlieren (BOS) System for Thermal Characterization of Flow Induced by Plasma Actuators
|Energies|2023|11
Data-driven surrogate modelling of multistage Taylor cone–jet dynamics
|Physics of Fluids|2024|9