header

Using Grain Boundary Irregularity to Quantify Dynamic Recrystallization in Ice

70 Pages Posted: 7 Jan 2021 Publication Status: Published

See all articles by Sheng Fan

Sheng Fan

University of Otago

David J. Prior

University of Otago

Andrew J. Cross

Woods Hole Oceanographic Institution

David L. Goldsby

University of Pennsylvania

Travis F. Hager

University of Pennsylvania

Marianne Negrini

University of Otago

Chao Qi

Institute of Geology and Geophysics, Chinese Academy of Sciences

Abstract

Dynamic recrystallization is an important mechanical weakening mechanism during the deformation of ice, yet we currently lack robust quantitative tools for identifying recrystallized grains in the “migration” recrystallization regime that dominates ice deformation at temperatures close to the ice melting point. Here, we propose grain boundary irregularity as a quantitative means for discriminating between recrystallized (high sphericity, low irregularity) and remnant (low sphericity, high irregularity) grains. To this end, we analyzed cryogenic electron backscatter diffraction (cryo-EBSD) data of deformed polycrystalline ice, to quantify dynamic recrystallization using grain boundary irregularity statistics. Grain boundary irregularity has an inverse relationship with a sphericity parameter, ψ, defined as the ratio of grain area and grain perimeter, divided by grain radius in 2-D so that the measurement is grain size independent. Sphericity (ψ) typically decreases with increasing grain size, up to a threshold grain size, above which ψ either plateaus (at temperature, T < -10 °C) or increases much more gradually (at T  ≥ -10 °C). There is no apparent relationship between grain sphericity and grain  c -axis orientation, suggesting little crystallographic control on the activity of grain boundary migration (GBM) that governs grain boundary irregularity. Decreasing sphericity up to the threshold grain size can be explained by newly-formed, small, spherical recrystallized grains growing via strain-induced GBM and thereby developing increasingly irregular grain boundaries. We suggest that the plateau (or gradual decrease) in sphericity at larger sizes represents a population of original grains (i.e., remnant grains) that becomes increasingly irregular (at similar rates) due to GBM. In this interpretation, the threshold grain size represents the largest grain size reached by a recrystallized grain at the end of each experiment. Thus, grain boundary irregularity provides a means for discriminating between recrystallized and remnant grains—a capability that is potentially useful for evaluating dynamic recrystallization processes in ice deformed at temperatures close to the melting point. The threshold grain size and experiment duration can be used to calculate the rates of recrystallization and grain size evolution associated with GBM. Grain size evolution rates are similar at high and low temperatures, suggesting similar GBM rates. Previous studies show that grain boundary mobility decreases with decreasing temperature. The driving force of GBM, on the other hand, has a positive correlation with stress, which increases with a decreasing temperature if strain rate remains unchanged. The balance between boundary mobility and driving force is likely the cause of similar GBM rates between high and low temperatures.

Keywords: high-temperature deformation; grain boundary irregularity; dynamic recrystallization; grain boundary migration; crystallographic orientation; electron backscatter diffraction

Suggested Citation

Fan, Sheng and Prior, David J. and Cross, Andrew J. and Goldsby, David L. and Hager, Travis F. and Negrini, Marianne and Qi, Chao, Using Grain Boundary Irregularity to Quantify Dynamic Recrystallization in Ice. Available at SSRN: https://ssrn.com/abstract=3762203 or http://dx.doi.org/10.2139/ssrn.3762203

Sheng Fan (Contact Author)

University of Otago

P.O. Box 56
Dunedin, 9010
New Zealand

David J. Prior

University of Otago

P.O. Box 56
Dunedin, 9010
New Zealand

Andrew J. Cross

Woods Hole Oceanographic Institution

United States

David L. Goldsby

University of Pennsylvania

Philadelphia, PA 19104
United States

Travis F. Hager

University of Pennsylvania

Philadelphia, PA 19104
United States

Marianne Negrini

University of Otago

P.O. Box 56
Dunedin, 9010
New Zealand

Chao Qi

Institute of Geology and Geophysics, Chinese Academy of Sciences ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
68
Abstract Views
532
PlumX Metrics