Multi Phase Field Model with Isotropic Interface Energy

From Micro and Nano Mechanics Group
Jump to navigation Jump to search

Multi Phase Field Model with Isotropic Interface Energy

Seunghwa Ryu, Yanming Wang and Wei Cai

This tutorial describes the theory and numerical implementation of a 3D multi phase phase field model with isotropic interface energy. The model has been implemented in both matlab and in MD++. We describe the algorithm of these codes and how to use them in detail. A brief introduction of the phase field model can be found in Chapter 11 of

Computer Simulations of Dislocations, V. V. Bulatov and W. Cai, Oxford University Press (2006).


Download files

The matlab program can be downloaded from this link: Pf3d multi iso.m. For the test case you need only one matlab file. You can download it into a directory of your choice, using the following command

wget http://micro.stanford.edu/mediawiki/images/b/b7/Pf3d_multi_iso.m.txt -O Pf3d_multi_iso.m

and run it within Matlab.

Theory

The fundamental degrees of freedom in multi phase field model are a series of phase fields ,where i=1:N and N is the number of different phases in the system. The range of the value of each phase field is between 0 and 1. We can think of the region where as in the ith phase and the region where as not in the ith phase. Thereby, Similar to the previous wiki page but considering the interfaces between different phases, the free energy functional and the local free energy density are given by



Intuitively, if we let , then will be reduced to a formalism similar to the single phase model.


In the Ginzburg-Landau model, The evolution of the ith phase without constraint can be expressed with the following equation of motion,

  (GL)

where  is the mobility of i-k interface, and  

For the free energy density function given above, the explicit expression of the variational derivative is,


In the Cahn-Hillard model, the system evolves with the following equation of motion that conserve the total amount of each phase,

  (CH)

Algorithm

In matlab, We present liquid , solid , and vapor , three phase fields by a cell. Each element phi{i}(m,n,p) of the cell is a three-dimensional array, of size . i goes from 1 to 3, m goes from 1 to , n goes from 1 to , and p goes from . For simplicity, a uniform grid size is used in all three directions. Similar to the previous wiki page, by default, periodic boundary conditions (PBC) are applied in all three directions.

For each phase , the first derivatives, , , , and the second derivative, , are computed the following manner.

dphidx{i} = (phi{i}(pxind,:,:)-phi{i}(nxind,:,:))/(2*h);
dphidy{i} = (phi{i}(:,pyind,:)-phi{i}(:,nyind,:))/(2*h);
dphidz{i} = (phi{i}(:,:,pzind)-phi{i}(:,:,nzind))/(2*h);
d2phi{i}  = (phi{i}(pxind,:,:)+phi{i}(nxind,:,:) ...
             +phi{i}(:,pyind,:)+phi{i}(:,nyind,:) ...
             +phi{i}(:,:,pzind)+phi{i}(:,:,nzind)-6*phi{i})/(h^2);

Based on these derivatives, the free energy for each i-k pair and the total free energy are computed as,

for i=1:N_phases,
       for k=i+1:N_phases,
           grad_term = (phi{i}.*dphidx{k} - phi{k}.*dphidx{i}).^2 ...
                     + (phi{i}.*dphidy{k} - phi{k}.*dphidy{i}).^2 ...
                     + (phi{i}.*dphidz{k} - phi{k}.*dphidz{i}).^2 ;
           F_pair(i,k) = vareps(i,k) * sum(sum(sum( grad_term ))) ...
                       + U(i,k) * sum(sum(sum( phi{i}.^2.*phi{k}.^2 )));
           F = F + F_pair(i,k);
       end
end

And the variational derivative of each is computed as,

 for i=1:N_phases,
       for k=1:N_phases,
           if k ~= i
               dFikdphii = 2*U(i,k)*phi{i}.*phi{k}.*(phi{k}-phi{i}) ...
                         + 4*m(i,k)*phi{i}.*phi{k} ...
                         - 2*vareps(i,k)*(phi{k}.*d2phi{i}-phi{i}.*d2phi{k});
               dphidt0{i} = dphidt0{i} - M(i,k) * dFikdphii;
           end
       end
 end

The asymmetric potential can be applied by assigning the parameter m a nonzero value in the above equation.

For Ginzburg-Landau model (equation_type == 0), we use

 dphidt{i} = dphidt0{i};

For Cahn-Hillard model (equation_type == 1), we use

d2dphidt0{i} = (dphidt0{i}(pxind,:,:)+dphidt0{i}(nxind,:,:) ...
                          +dphidt0{i}(:,pyind,:)+dphidt0{i}(:,nyind,:) ...
                          +dphidt0{i}(:,:,pzind)+dphidt0{i}(:,:,nzind) ...
                          -6*dphidt0{i})/(h^2);
           dphidt{i} = d2dphidt0{i};

We have also implemented a Ginzburg-Landau model with a constraint on the total volume of each phase (equation == 2), in which we use

dphidt{i} = dphidt0{i} - mean(mean(mean(dphidt0{i})));

In addition, to calculate the evolution of the whole system, a for loop from 1:N_phases is used to count the changes in all phases.

Test cases

Spherical interface

We can initialize the solid phase to be a sphere,

clear all;
solid_radius = 0.3; equation_type = 0; pf3d_multi_iso

Cylinderical interface

We can also initialize the solid phase to be a cylinder,

clear all;
solid_shape = [0 1 1]; solid_radius = 0.25; equation_type = 0; pf3d_multi_iso