Snow Characterization Workshop 2008

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Presentation transcript:

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

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

2D-section: 3D image: serial

2D-section: 3D image: tomography

chloro-naphthalene (three-phase)

3D image: tomography-BET

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

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

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

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

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

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

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

Sublimation process

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

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

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

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)

anaglyph images of rounded snow zusätzliche Vergleiche

anaglyph images of new snow zusätzliche Vergleiche