Effect of iterations on result
 

Hi folks I was wondering what is the effect of iterations on the result.

Does increasing iteration increase accuracy of result?

generally:no! why should it?
exception: implicit code, where your matrix inversion has not converged yet....

what kind of iteration (physical / computational) did you mean?

Hi,

Could you let me ask what the physical iteration is?

if you know how to make the whole system and the results to converge
yes more iterations could bring better results

but you may also consider the time/cost of the accuracy

I was sloppy with my language there. What I meant was a physical time step in your iteration, i.e. a delta t.

Do you run a transient or steady state solver?

If the convergence is well behaved then more iterations will generally lead to lower residuals. This is a good thing (to a point) in a steady state solver, but it might not be necessary within a transient solver. I would suggest that you put an iteration number so that you will reach convergence for your variables within most of the time-steps.

Thanks for answers everyone.

If I am wrong please correct me.
If you set an "iteration number" (I guess, you meant maximum iteration) and the solution does not converge to a desired value within a time step, then iteration error will start accumulating. Unless those errors are convected out with the flow, and the solution starts converging to the desired value, your simulation will have high iteration error. For an accurate simulation, generally the minimum number of (non-linear) iterations is set.