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Influence of Noise-Generating Factors on Cross-Correlation Electron Backscatter Diffraction (EBSD) Measurement of Geometrically Necessary Dislocations (GNDs)

Published online by Cambridge University Press:  06 March 2017

Landon T. Hansen ,
Brian E. Jackson ,
David T. Fullwood ,
Stuart I. Wright ,
Marc De Graef ,
Eric R. Homer  and
Robert H. Wagoner
Landon T. Hansen*
Affiliation:
Department of Mechanical Engineering, Brigham Young University, 435 Crabtree Building, Provo, UT 84602, USA
Brian E. Jackson
Affiliation:
Department of Mechanical Engineering, Brigham Young University, 435 Crabtree Building, Provo, UT 84602, USA
David T. Fullwood
Affiliation:
Department of Mechanical Engineering, Brigham Young University, 435 Crabtree Building, Provo, UT 84602, USA
Stuart I. Wright
Affiliation:
EDAX-TSL, 392 East 12300, Suite H, Draper, UT 84020, USA
Marc De Graef
Affiliation:
Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA
Eric R. Homer
Affiliation:
Department of Mechanical Engineering, Brigham Young University, 435 Crabtree Building, Provo, UT 84602, USA
Robert H. Wagoner
Affiliation:
Department of Materials Science and Engineering, Ohio State University, 2041 College Rd., Columbus, OH 43210, USA
*
*Corresponding author. landonthansen@gmail.com
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Abstract

Studies of dislocation density evolution are fundamental to improved understanding in various areas of deformation mechanics. Recent advances in cross-correlation techniques, applied to electron backscatter diffraction (EBSD) data have particularly shed light on geometrically necessary dislocation (GND) behavior. However, the framework is relatively computationally expensive—patterns are typically saved from the EBSD scan and analyzed offline. A better understanding of the impact of EBSD pattern degradation, such as binning, compression, and various forms of noise, is vital to enable optimization of rapid and low-cost GND analysis. This paper tackles the problem by setting up a set of simulated patterns that mimic real patterns corresponding to a known GND field. The patterns are subsequently degraded in terms of resolution and noise, and the GND densities calculated from the degraded patterns using cross-correlation ESBD are compared with the known values. Some confirmation of validity of the computational degradation of patterns by considering real pattern degradation is also undertaken. The results demonstrate that the EBSD technique is not particularly sensitive to lower levels of binning and image compression, but the precision is sensitive to Poisson-type noise. Some insight is also gained concerning effects of mixed patterns at a grain boundary on measured GND content.

Keywords

HR-EBSDcross-correlationnoisebinningcompressionsimulated electron backscatter diffraction
Type
Materials Science Applications
Information
Microscopy and Microanalysis , Volume 23 , Issue 3 , June 2017 , pp. 460 - 471
Copyright
© Microscopy Society of America 2017 

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