This work reports the application of a model-free deep reinforcement learning (DRL) based flow control strategy to suppress perturbations evolving in one-dimensional linearised Kuramoto–Sivashinsky (KS) equation and two-dimensional boundary layer flows. The former is commonly used model disturbance developing flat-plate These systems are convectively unstable, being able amplify upstream distur...

This study examines the Blasius flow with Cu-Al2O3 hybrid nanoparticles over a moving plate. Additionally, effects of viscous dissipation and radiation are considered. Similarity transformation is employed to convert respective model into similarity equations. The results generated by using bvp4c in MATLAB. Findings reveal that two solutions attained when both free stream plate move opposite di...

We consider the Nusselt–Rayleigh number problem of Rayleigh–Bénard convection and make hypothesis that velocity thermal boundary layer widths, $\delta _u$ _T$ , in absence a strong mean flow are controlled by dissipation scales turbulence outside layers and, therefore, order Kolmogorov Batchelor scales, respectively. Under this assumption, we derive $Nu \sim Ra^{1/3}$ high $Ra$ limit, independe...