Automated microstructure characterization through deep ice cores using sublimation etching


Contact
Ilka.Weikusat [ at ] awi.de

Abstract

Polar ice sheets can be regarded as unique deformation experiments carried out by nature. Compared to other geological materials forming the earth‘s crust, the microstructure of ice is directly and depthcontinuously accessible in deep ice cores and can be mapped to a great extent utilizing controlled sublimation etching of polished surfaces. This technique is limited in the quantification of crystal orientation, but shows high sensitivity in locating low-angle lattice distortions such as detecting regions of high sub-grain boundary densities. Grain boundary networks extracted and diversely parameterized allow to validate the presence of different recrystallization processes depending on changing (climatic) conditions and deformation history. A dedicated method of digital image processing has been developed to overcome the need for tedious manual analysis. This contribution outlines how small grains (only a few micrometers in cross-section) can be extracted and are optionally considered in grain size analysis. Grain boundaries are characterized by their shape in high resolution and acting driving forces are estimated. Based on large extracted data sets different micro-structural parameterizations are performed and principally analyzed.



Item Type
Conference (Talk)
Authors
Divisions
Primary Division
Programs
Primary Topic
Research Networks
Peer revision
Not peer-reviewed
Publication Status
Published
Event Details
5th International Conference on Recrystallization & Grain Growth, 05 May 2013 - 10 May 2013, Sydney.
Eprint ID
35617
Cite as
Binder, T. , Weikusat, I. , Freitag, J. , Garbe, C. S. , Wagenbach, D. and Kipfstuhl, S. (2013): Automated microstructure characterization through deep ice cores using sublimation etching , 5th International Conference on Recrystallization & Grain Growth, Sydney, 5 May 2013 - 10 May 2013 .


Download
[img]
Preview
PDF
ReXGG2013_Binder.pdf

Download (17MB) | Preview
Cite this document as:

Share

Research Platforms

Campaigns


Actions
Edit Item Edit Item