The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

Transitional–turbulent spots bridge the deterministic laminar state with the stochastic
turbulent state and affect the transition zone length in engineering flows. Turbulent spot …

We introduce a reinforcement learning (RL) environment to design and benchmark control
strategies aimed at reducing drag in turbulent fluid flows enclosed in a channel. The …

Superhydrophobic surface gives prominence to its application potential in the field of anti-
adhesion and drag reduction in the microchannels, because of its low adhesion and high …

Pipeline hydraulic transport is a highly efficient and low energy-consumption method for
transporting solids and is commonly used for tailing slurry transport in the mining industry …

The current revolution in the field of machine learning is leading to many interesting
developments in a wide range of areas, including fluid mechanics. Fluid mechanics, and …

Flexible bionic drag reduction surfaces have attracted increasing attention in recent years
owing to its potential to address the daunting energy crisis. Inspired by the skin of pufferfish …

We investigate experimentally the effects of micro-grooves on the development of a zero
pressure gradient turbulent boundary layer at two different values of the friction Reynolds …

We report on an experimental investigation on the effect of sinusoidal riblets on the near-
wall characteristics of a turbulent boundary layer. The investigated riblets are characterized …

Turbulent drag reduction (DR) through streamwise travelling waves of the spanwise wall
oscillation is investigated over a wide range of Reynolds numbers. Here, in Part 1, wall …