Networked-oscillator-based modeling and control of unsteady wake flows

Modeling Evaporating Droplets in Complex Unsteady Flows

In many applications, a moving fluid carries a suspension of droplets of a second phase which may change in size due to evaporation or condensation. Examples include liquid fuel drops in engines and raindrops or ice-crystals in a thunderstorm. If the number of such particles is very large, and, if further, the flow is inhomogeneous, unsteady or turbulent, it may be practically impossible to exp...

Markovian Delay Prediction-Based Control of Networked Systems

A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...

Subgrid Modeling of Unsteady Two-Phase Turbulent Flows*

A subgrid scalar mixing and combustion model originally developed for gas phase combustion has been extended in this study to include the liquid phase. This approach includes a more fundamental treatment of the effects of the final stages of droplet vaporization, molecular diffusion, chemical reactions and small scale turbulent stirring than other LES closure techniques. As a result, Reynolds, ...

Modeling unsteady turbulent flows over ripples: RANS versus LES

Unsteady Flows in Turbines