Modelling solid-fluid turbulent flows with application to predicting erosive wear

Computational Fluid Dynamic Modelling of Atomisation Processes in Turbulent Flows

Atomisation of liquids is frequently encountered in the liquid-gas flows used in many practical chemical and process engineering applications, and an ability to reliably predict such flows is of benefit to the optimisation and performance improvement of existing equipment and processes, as well as the evaluation of retrofit options and the design of new equipment, systems and plant. This paper ...

Application of viscous-inviscid interaction methods to transonic turbulent flows

Application of PDF methods to compressible turbulent flows

A particle method applying the probability density function ~PDF! approach to turbulent compressible flows is presented. The method is applied to several turbulent flows, including the compressible mixing layer, and good agreement is obtained with experimental data. The PDF equation is solved using a Lagrangian/Monte Carlo method. To accurately account for the effects of compressibility on the ...

Application of the Turbulent Potential Model to Complex Flows

The turbulent potential model is a RANS model that avoids modeling the Reynolds stress tensor. As a result it has the ability to obtain the physical accuracy of Reynolds stress transport equation models at a cost and complexity comparable to popular two equation models. The model’s ability to predict channel flow, free-shear layers, homogeneous shear flow, stagnation point flow, backward facing...

Decoupling schemes for predicting compressible fluid flows

Numerical simulation of compressible fluid flows is performed using the Euler equations. They include the scalar advection equation for the density, the vector advection equation for the velocity and a given pressure dependence on the density. An approximate solution of an initial–boundary value problem is calculated using the finite element approximation in space. The fully implicit two–level ...