Click on ** Solution Methods** then click on

Here, the flow field will be initialized to the values at the inlet. To carry out the initialization click on ** Solution Initialization** then click on

Then click ** initialize **to initialize the domain with an initial guess. This completes the initialization.

Fluent reports a residual for each governing equation being solved. The residual is a measure of how well the current solution satisfies the discrete form of each governing equation. We'll iterate the solution until the residual for each equation falls below 1e-6. To specify the residual criteria ** (Click) Monitors > Residuals > Edit...**, as shown in the image below.

Next, change the residual under ** Convergence Criterion** for

Lastly, click ** OK** to close the

Note that, we have to run the transient simulation to a statistically stationary state and then collect statistics. Click on ** Run Calculation** then choose the

As a safeguard save the project now. Now, click on ** Calculate** to run the calculation. The residuals for each iteration are printed out as well as plotted in the graphics window as they are calculated. The residuals decrease during the inner iterations and jump again when we advance by one time step as shown in image below.

From the above inputs, it is clear that 20 inner iterations are carried out to advance the simulation by one time step and we requested for 20,000 time steps. So, typically these simulations are very long even if we use four processors. To reduce the simulation time, one can opt to use High Performance Computing (HPC) resources. The calculations performed for this tutorial are based on the simulations run on an HPC cluster using 48 cores.

In this simulation, it is verified that the statistically stationary state is reached by advancing the simulation from 0 s to 0.1 s in physical time, i.e. using only 10,000 time steps with 1e-05s time step size with 20 inner iterations. When a statistically stationary state is reached, statistics have to be collected by advancing the physical time from 0.1 s to at least 0.15 s. Use 5,000 time steps with 1e-05 time step size with 20 inner iterations. This is done as shown in the figure below. Select the ** Data Sampling for Time Statistics **to start collecting the statistics. You will see the physical time for which the statistics have been collected across

Collect the statistics for 0.05 s (this corresponds to marching from 0.1 s to 0.15 s in time) as shown in the above figure. At this point save the project once again.