How to generate different grain sizes and homogeneity of grain size in Neper

[Ali141272]

Hello Everyone,
How to generate different grain sizes model such as Fine grain (FG), Medium grain (MG0 and Coarse grain (CG)? as shown in Fig.1
The description of Fig.1 is as follow:
The size of the models is 22.5 × 45 mm. There is total 500 number of grains in the model as shown in Fig.1.Three different specimens are generated by varying the average edge length in Voronoi tessellation procedure (Fig. 1), which are 1, 1.5 and 2 mm for FG, MG and CG, respectively.

Homogeneity of Grain Size
Is it possible to generate homogeneity of grain size in Neper as you can see in Fig.2?
The sorting coefficient (So) is employed in the same model as shown in Fig.1, to represent the degree of homogeneity of the grain size distribution.

Thank you.

[rquey]

Here would be the typical command for top (c):

neper -T -domain "square(22.5,45)" -dim 2 -morpho "diameq:lognormal(2,0.2),1-sphericity:lognormal(0.1,0.03)" -n from_morpho -o micro
neper -V micro.tess -datacellcol white -dataedgecol "20:180:20" -dataedgerad 0.07 -print img

Just vary the average cell size and sphericity values (and standard deviations) to obtain the actual figures.

[rquey]

The sorting coefficient is related to the standard deviation, so, yes, using the standard deviation. (You'll have to look for the exact relationship.)

[Ali141272]

Noted Professor, Thanks once again

[Ali141272]

Professor, for generating sorting coefficient (So)/degree of homogeneity you have mentioned that “The sorting coefficient is related to the standard deviation, so, yes, using the standard deviation (You'll have to look for the exact relationship)”.
Professor now I have two type standard deviations which are;
diameq:lognormal(1,0.35) and 1-sphericity:lognormal(0.145,0.03), so which standard deviation I will use for sorting coefficient (So)/degree of homogeneity let me know.
Professor, if you have time, please give me one example using the following any sorting coefficients:
a) So =1.05; b) So =1.09

Thank you.

[rquey]

I don't use sorting coefficients, but (as I said) the concept seems related to the standard deviation. I can't help here - this is not really a Neper question.

[Ali141272]

Thank you Professor for your valuable time.