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mob_corr

Posted: Mon Jun 25, 2018 2:28 pm
by CharMIC
Hej Bernd,

Could you explain bit more about this backward and forward redistribution behavior for the elements.

BR
Chamara

Re: mob_corr

Posted: Mon Jun 25, 2018 4:38 pm
by Bernd
Dear Chamara,

The "backward" optional input has only relevance in conjunction with the unsymmetrical models "nple" and "para"/"paraTQ". For those models, the redistribution behaviour depends on the movement direction of the interface (NPLE, paraequilibrium/nple). Thus, it is possible e.g. to use nple for the forward and para for the backward direction.

Bernd

Re: mob_corr

Posted: Sun Jul 22, 2018 9:57 pm
by CharMIC
Hej Bernd,

Could you please explain the different between atc and normal mob_corr

BR
Chamara

Re: mob_corr

Posted: Mon Jul 23, 2018 9:00 am
by Bernd
Dear Chamara,

I am not sure in which respect you wish more details. Do you more information how the nple model works? In any case, using different redistribution models depending on moving direction of the interface is very specific, and I even don't know a concrete application case...

Bernd

Re: mob_corr

Posted: Mon Jul 23, 2018 3:43 pm
by CharMIC
Hej Bernd,

Let me ask a specific question then.

Could you explain why atc mob_corr has been used in "T015_Gamma_Alpha_FeC_Acicular" example. Cant we use normal mob_corr

BR
chamara

Re: mob_corr

Posted: Mon Jul 23, 2018 8:40 pm
by Bernd
Hej Chamara,

The "normal mob_corr" option should be sufficient if the key issue is to assure correct interface kinetics. However, the artifacts from a not-thin interface - if not corrected - not only lead to wrong kinetics but also to a incorrect solute distribution inside the interface region. The consequence can be an artificial trapping of solute, which has the side effect that there might be a slightly wrong redistribution, especially in case of non-stationary growth, which can be more efficiently corrected using the "atc mob_corr" option. In this case, an explicit anti-trapping current is applied to achieve the correct solute distribution profile through the interface (at least in the 1d approximation).

While this trapping effect might be of interest especially in case of quantitative benchmarks, for the technical applications the question is more important whether the "atc" option could perhaps increases or decreases stability. Up to now, we did not make a systematic evaluation on that. I, personally, don't use "atc" at present, because in complex multicomponent simulations it definitively would increase complexity, because it could be very difficult to identify additional problems which theoretically could be triggered by this option. To the contrary, Janin (who designed the "T015_Gamma_Alpha_FeC_Acicular" example) typically uses "ATC", and perhaps I am wrong, and "ATC" increases stability...

Anyway, we up to now never had negative experiences with the option. Everybody is invited to try it out him/her-self (and comment in this forum!).