Details of the turbulence modeling
, turbulence-chemistry interaction, and numerical solver setting are discussed in the subsequent sections.
Based on the assumption that turbulence modeling
has a significant influence on the prediction of the highly transient buoyancy driven airflow, analyses with several different turbulence models were conducted.
First, attention was focused on turbulence modeling
The k-m model is used for turbulence modeling
in a range of Reynolds number varying from 500 to 5000.
With respect to turbulence modeling
, two subgrid scales models have been considered, namely, the standard Smagorisnky-Lilly (SM) model and the Kinetic Energy Transport (KET) model.
Even complex numerical simulations are of limited use because they show a strong dependence of the results of the method used, particularly the turbulence modeling
Define turbulence model: There are several approaches to turbulence modeling
such as: Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS).
The 44 papers delivered during the 2014 conference present recent advances in computational methods for solving heat transfer problems, numerical solution algorithms for non-linear partial differential equations, computing algorithms for rapid simulation of thermal behavior, turbulence modeling
, and measuring technologies.
This study was focused on the eddy dissipation concept model whereas is widely used for turbulence modeling
and adopted for non-premixed combustion modeling.
Among the topics are the computational multiphase fluid dynamics framework, mechanistic models for gas-liquid and liquid-liquid flows, solution methods and turbulence modeling
, and some applications of population balance with examples.
On the other hand, a fairly rigorous test for both computational fluid dynamics and turbulence modeling
is required to succeed in treating cases with strongly interacting free turbulent shear flows.
Currently it is not possible to predict breaking of gravity waves since it occurs on very small time and space scales, but extensive work is ongoing to identify areas favorable for this activity in turbulence modeling