Procedures

1.Extracting Region of Interest and Contrasting 

ppnew.png

 

Before processing with ExFact Analysis for Porous/Particles, the greyscale images can be trimmed with ExFact VR to reduce the system load and contrasted to differentiate the materials from the void. The purpose of contrasting is to change the position of demarkation in the distribution of brightness, and therefore to make areas that seem white become white and darker areas black, resulting in the clearer display of the image. Raw data and VRF files are produced after the process.

 

2.Binalization

porous_flow2.gifSome of the data is not clear enough due to noise as shown in the picture on the right. ExFact has kringing algorism that discerns materials and voids, and binalizes the images to remove the noise.

 

 

3.Thinning Process

porous_flow3.jpgThinning process first puts very thin line that cuts voids in a half in the perpendicular direction. Then, the parts of the lines are coloured differently in accordance with the distance between the line and the boundary of the void in the perpendicular direction. As the distance becomes shorter, the line is represented in a reddish colour, whereas bluish colours thicker ones.

 

 

4.Preparing for Quantitative Analysis

porous_flow4.jpgVoids are separated at throats, which are the narrowest part of the voids where line passes. The resulting void is called pore.

 

 

 

 

 

 

 

 

5.Exporting Analysis Results

bg_h4.gif Distribution of the volume of nodal pore

porous_fig1.gif Horizontal Avis:Volume of nodal pore
Vertical Axis:Probability of having specific volume

 

bg_h4.gif Distribution of effective radius of pores

porous_fig2.gif

Horizontal radius:Effective radius
Vertical Axis:Probability of having specific effective radius

porous_fig2a.gif


bg_h4.gif Distribution of surface area of throat

porous_fig3.gif Horizontal Axis:Surface area of throat
Vrtical Axis:Probability of having specific surface area


bg_h4.gif Distribution of effective radius of throat

porous_fig4.gif   porous_fig4a.gif
Horizontal Axis:Effective Radius
Vertical Axis:Probability of having specific effective radius
 


bg_h4.gif Scatter pplot reprsenting the correlation of the sizes of neighbouring pores

porous_fig5.gif

Horizontal Axis:Volumes of nodal pores
Vertical Axis:Average volume of adjacent nodal pore 
porous_fig5a.gif
porous_fig5b.gif 


bg_h4.gif Distribution of effective radius of pores flanking a throat

porous_fig6.gif porous_fig6a.gif


bg_h4.gif Coordination numbers of nodal pores

porous_fig7.gif porous_fig7b.gif
Horizontal Axis:Effective radius of nodal pore of interst
Verical Axis:Coordination number of nodal pore of interest


bg_h4.gif Degree of narrowness of throat relative to the radius of pores.

porous_fig8.gif porous_fig8a.gif
The sizes of pores relative to throats are expressed as a ratio of their effective radius, and the distribution is described in a bar graph.
r = Effective radius of throat
R= Effective radius of pore
r / R = degree of narrowness of throat relative to the radius of pores


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