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Snow Characterization Workshop 2008

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Presentation on theme: "Snow Characterization Workshop 2008"— Presentation transcript:

1 Snow Characterization Workshop 2008
3D (Lecture 2) Martin Schneebeli

2 3D microstructural analysis
two methods for 3D microstructural analysis: polycut = serial sectioning microCT = micro computer tomography polycut microCT

3 2D-section: 3D image: serial

4 2D-section: 3D image: tomography

5 chloro-naphthalene (three-phase)

6 3D image: tomography-BET

7 Principle of the new method
working point -20°C 5×10-2 mbar Temperature -20°C und Vakuumdruck einzeichnen

8 Principle of the new method
snow phthalate new method raw CT images "digital replica" snow image processing segmented images image inversion

9 Sample preparation: casting
casting technique is identical as for polycut replace the air in the pores by diethyl phthalate diethyl phthalate: melting point -3°C, but solidification temperature is much lower (c. -30°C) freeze with dry ice

10 Sample preparation: trimming
at -20°C to prevent melting of the phthalate cut and trim samples to cylinders of 18 mm diameter

11 Experimental setup: vacuum
store samples in vacuum desiccator high vacuum pump: final pressure ~5×10-2 mbar optional: put drying agent in desiccator

12 Experimental setup: microCT
when sublimation terminated: microCT measurement same measurement protocol as for snow

13 raw CT-images: Gaussian filtered (3D)
Image processing raw CT-images: Gaussian filtered (3D) image segmentation: local minimum of the histogram as threshold threshold threshold phthahlate air ice air

14 Sublimation process

15 Weight loss vacuum pressure is a good indicator of the progress
drying agent significantly accelerates the sublimation process normalized weight vacuum pressure

16 measurement of the phthalate after sublimation  digital replica
Validation: samples special sample holder for validation measurements CT-measurement of snow before casting casting and vacuum sublimation in the CT sample holder measurement of the phthalate after sublimation  digital replica comparison between digital replica and orginal snow structure

17 Validation: visual comparison
original snow digital replica difference image zusätzliche Vergleiche

18 Validation: structural parameters
trabecular thickness trabecular spacing zusätzliche Vergleiche structural parameters: density, SSA, trabecular thickness, trabecular spacing, etc.  relative errors are very small (a few percent)

19 anaglyph images of rounded snow
zusätzliche Vergleiche

20 anaglyph images of new snow
zusätzliche Vergleiche


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