Statistical characterization of twin transmission across grain boundaries in magnesium
Abstract
Here, a detailed statistical analysis of twin transmission (TT) across grain boundaries is performed in rolled, commercial purity magnesium compressed along the rolling direction. EBSD images are acquired from two different cuts: a section containing the rolling (RD) and normal (ND) directions; and a section at 35° to the ND which contains transverse direction (TD). An automated twinning analysis software, METIS, is used to obtain the statistical correlations between deformation twins and other microstructural features by analyzing EBSD microstructures comprising thousands of grains and twins. This detailed statistical analysis reveals that the TT propensity is sensitive to the grain boundary (GB) misorientation angle but not to the GB misorientation axis. Specifically, TT propensity decreases with increasing GB misorientation angle; however, the decreasing trend is not monotonic. Further, the detailed analysis of TT events combining macroscopic Schmid factor and the geometric measures (m’: accounts for the alignment of both twin plane normal and shear directions; m”: accounts for the alignment of only twin shear directions; and m”’: accounts for the alignment of only twin plane normal) helps in understanding and identifying the process of twin-pair formation, i.e., co-nucleation versus transmission, also to identify the role of local stresses at GBs inducedmore »
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Universite de Lorraine (France); Centre National de la Recherche Scientifique (CNRS) (France); Arts et Métiers ParisTech (France)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1898358
- Alternate Identifier(s):
- OSTI ID: 1962125
- Report Number(s):
- LA-UR-22-20355
Journal ID: ISSN 1044-5803
- Grant/Contract Number:
- 89233218CNA000001; FWP 06SCPE401
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Materials Characterization
- Additional Journal Information:
- Journal Volume: 194; Journal ID: ISSN 1044-5803
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; Magnesium; Deformation twinning; Microstructure; Bayesian inference; EBSD
Citation Formats
Kumar, Mariyappan Arul, McCabe, Rodney James, Taupin, Vincent, Tomé, Carlos N., and Capolungo, Laurent. Statistical characterization of twin transmission across grain boundaries in magnesium. United States: N. p., 2022.
Web. doi:10.1016/j.matchar.2022.112457.
Kumar, Mariyappan Arul, McCabe, Rodney James, Taupin, Vincent, Tomé, Carlos N., & Capolungo, Laurent. Statistical characterization of twin transmission across grain boundaries in magnesium. United States. https://doi.org/10.1016/j.matchar.2022.112457
Kumar, Mariyappan Arul, McCabe, Rodney James, Taupin, Vincent, Tomé, Carlos N., and Capolungo, Laurent. Fri .
"Statistical characterization of twin transmission across grain boundaries in magnesium". United States. https://doi.org/10.1016/j.matchar.2022.112457. https://www.osti.gov/servlets/purl/1898358.
@article{osti_1898358,
title = {Statistical characterization of twin transmission across grain boundaries in magnesium},
author = {Kumar, Mariyappan Arul and McCabe, Rodney James and Taupin, Vincent and Tomé, Carlos N. and Capolungo, Laurent},
abstractNote = {Here, a detailed statistical analysis of twin transmission (TT) across grain boundaries is performed in rolled, commercial purity magnesium compressed along the rolling direction. EBSD images are acquired from two different cuts: a section containing the rolling (RD) and normal (ND) directions; and a section at 35° to the ND which contains transverse direction (TD). An automated twinning analysis software, METIS, is used to obtain the statistical correlations between deformation twins and other microstructural features by analyzing EBSD microstructures comprising thousands of grains and twins. This detailed statistical analysis reveals that the TT propensity is sensitive to the grain boundary (GB) misorientation angle but not to the GB misorientation axis. Specifically, TT propensity decreases with increasing GB misorientation angle; however, the decreasing trend is not monotonic. Further, the detailed analysis of TT events combining macroscopic Schmid factor and the geometric measures (m’: accounts for the alignment of both twin plane normal and shear directions; m”: accounts for the alignment of only twin shear directions; and m”’: accounts for the alignment of only twin plane normal) helps in understanding and identifying the process of twin-pair formation, i.e., co-nucleation versus transmission, also to identify the role of local stresses at GBs induced by inter-grain interaction versus twinning shear transformation processes. In addition, Bayesian inference is used to draw statistically meaningful conclusions as to the likelihood of transmission given misorientation angles. Lastly, twin chain frequency as a function of chain length is predicted using the probability distribution obtained from the Bayesian inference and compared with the actual data from the EBSD microstructures.},
doi = {10.1016/j.matchar.2022.112457},
journal = {Materials Characterization},
number = ,
volume = 194,
place = {United States},
year = {Fri Nov 04 00:00:00 EDT 2022},
month = {Fri Nov 04 00:00:00 EDT 2022}
}
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