Time-lapse misorientation maps for the analysis of electron backscatter diffraction data from evolving microstructures

J. Wheeler; A. Cross; M. Drury; R. M. Hough; E. Mariani; S. Piazolo; D. J. Prior

doi:10.1016/j.scriptamat.2011.06.035

Time-lapse misorientation maps for the analysis of electron backscatter diffraction data from evolving microstructures

J. Wheeler^*, A. Cross, M. Drury, R. M. Hough, E. Mariani, S. Piazolo, D. J. Prior

^*Corresponding author for this work

ARC Centre of Excellence for Core to Crust Fluid Systems (incorporation ARC National Key Centre for Geochemical evolution and Metallogeny of Continents (GEMOC))

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

A "time-lapse misorientation map" is defined here as a map which shows the orientation change at each point in an evolving crystalline microstructure between two different times. Electron backscatter diffraction data from in situ heating experiments can be used to produce such maps, which then highlight areas of microstructural change and also yield statistics indicative of how far different types of boundary (with different misorientations) have moved.

Original language	English
Pages (from-to)	600-603
Number of pages	4
Journal	Scripta Materialia
Volume	65
Issue number	7
DOIs	https://doi.org/10.1016/j.scriptamat.2011.06.035
Publication status	Published - Oct 2011

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10.1016/j.scriptamat.2011.06.035

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AU - Mariani, E.

AU - Piazolo, S.

AU - Prior, D. J.

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AB - A "time-lapse misorientation map" is defined here as a map which shows the orientation change at each point in an evolving crystalline microstructure between two different times. Electron backscatter diffraction data from in situ heating experiments can be used to produce such maps, which then highlight areas of microstructural change and also yield statistics indicative of how far different types of boundary (with different misorientations) have moved.

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Time-lapse misorientation maps for the analysis of electron backscatter diffraction data from evolving microstructures

Abstract

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