A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

After three years of waiting, it’s show time! The 2020 International Fluid Power Exposition is co-located with the CONEXPO-CON/AGG construction equipment show at the Las Vegas Convention Center on ...

Mixing of fluids is a critical component in many industrial and chemical processes. Pharmaceutical mixing and chemical reactions, for instance, may require homogeneous fluid mixing. Achieving this ...

The trade-offs necessary to choose a fluid involve a consideration of application requirements such as health, safety, and environmental effects, and fluid properties such as viscosity, stability, ...

A daring speculation offers a potential way forward in one of the great unsolved problems of mathematics: the behavior of the Navier-Stokes equations for fluid flow From Quanta Magazine (find original ...

Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization.

Researchers from Japan adopt a reinforcement learning-based approach to study the process of fluid mixing during laminar flow Fluid mixing is an important part of several industrial processes and ...