Functions

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arrow06c.gifPriduct Overviewarrow06c.gifarrow06c.gifOperation Environment and Features

1.Extracting Region of Interest and Contrasting Procedures

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Before processing with ExFact Analysis for Porous/Particles,the greyscale images can betrimmed with ExFactVR 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

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Some 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

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Thinning 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

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Voids 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.gifDistribution of the volume of nodal pore

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

bg_h4.gifDistribution of effective radius of pores

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

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bg_h4.gifDistribution of surface area of throat

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

bg_h4.gifDistribution of effective radius of throat

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

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bg_h4.gifScatter pplot reprsenting the correlation of the sizes of neighbouring pores

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Horizontal Axis:Volumes of nodal pores
Vertical Axis:Average volume of adjacent nodal pore

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bg_h4.gifDistribution of effective radius of pores flanking a throat

bg_h4.gifCoordination numbers of nodal pores

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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.

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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

Product Overviewlistmark3-2.pnglistmark3.pngOperation Environment