A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy

Directional reflectance microscopy (DRM) is a new optical technique that enables grain orientation mapping in crystalline solids by capturing and analyzing light reflectance signals generated by chemically etched surfaces. Currently, orientation indexing by DRM relies on fitting the optical signals...

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Main Authors: Zhu, Chenyang, Seita, Matteo
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162146
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1621462022-10-05T07:38:59Z A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy Zhu, Chenyang Seita, Matteo School of Mechanical and Aerospace Engineering School of Materials Science and Engineering Engineering::Mechanical engineering Engineering::Materials Directional Reflectance Microscopy Crystal Orientation Mapping Directional reflectance microscopy (DRM) is a new optical technique that enables grain orientation mapping in crystalline solids by capturing and analyzing light reflectance signals generated by chemically etched surfaces. Currently, orientation indexing by DRM relies on fitting the optical signals to identify user-defined features that carry orientation information. This approach is inevitably error-prone and material-dependent. These shortcomings hinder the adoption of DRM as a universal characterization method in materials science. We propose a new indexing method to improve the robustness and versatility of DRM. Our method relies on building a dictionary of all possible reflectance signals generated by a metal, which we simulate using a physics-based forward model that takes crystal orientation as input. We then compare each measured reflectance signal acquired by DRM to all the entries in the dictionary in search of the best match, and thus the correct crystal orientation. We demonstrate our dictionary indexing DRM (DI-DRM) approach on nickel and aluminum polycrystals, which produce markedly different optical reflectance signals. We find that DI-DRM yields measurements with improved accuracy compared to those enabled by fitting the optical signal on both materials and across all crystal orientations considered. We also show that the measurement error (∼3°) is mildly sensitive to experimental variability, including noise, measurement settings, and sample surface preparation. DI-DRM represents a considerable step forward towards the implementation of DRM as a streamline materials characterization technique. Ministry of Education (MOE) This research was funded by the Ministry of Education of Singapore, Official Number: MOE2017-T2–2-119. 2022-10-05T07:38:59Z 2022-10-05T07:38:59Z 2022 Journal Article Zhu, C. & Seita, M. (2022). A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy. Acta Materialia, 231, 117863-. https://dx.doi.org/10.1016/j.actamat.2022.117863 1359-6454 https://hdl.handle.net/10356/162146 10.1016/j.actamat.2022.117863 2-s2.0-85127680280 231 117863 en MOE2017-T2–2-119 Acta Materialia © 2022 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Engineering::Materials
Directional Reflectance Microscopy
Crystal Orientation Mapping
spellingShingle Engineering::Mechanical engineering
Engineering::Materials
Directional Reflectance Microscopy
Crystal Orientation Mapping
Zhu, Chenyang
Seita, Matteo
A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
description Directional reflectance microscopy (DRM) is a new optical technique that enables grain orientation mapping in crystalline solids by capturing and analyzing light reflectance signals generated by chemically etched surfaces. Currently, orientation indexing by DRM relies on fitting the optical signals to identify user-defined features that carry orientation information. This approach is inevitably error-prone and material-dependent. These shortcomings hinder the adoption of DRM as a universal characterization method in materials science. We propose a new indexing method to improve the robustness and versatility of DRM. Our method relies on building a dictionary of all possible reflectance signals generated by a metal, which we simulate using a physics-based forward model that takes crystal orientation as input. We then compare each measured reflectance signal acquired by DRM to all the entries in the dictionary in search of the best match, and thus the correct crystal orientation. We demonstrate our dictionary indexing DRM (DI-DRM) approach on nickel and aluminum polycrystals, which produce markedly different optical reflectance signals. We find that DI-DRM yields measurements with improved accuracy compared to those enabled by fitting the optical signal on both materials and across all crystal orientations considered. We also show that the measurement error (∼3°) is mildly sensitive to experimental variability, including noise, measurement settings, and sample surface preparation. DI-DRM represents a considerable step forward towards the implementation of DRM as a streamline materials characterization technique.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Zhu, Chenyang
Seita, Matteo
format Article
author Zhu, Chenyang
Seita, Matteo
author_sort Zhu, Chenyang
title A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
title_short A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
title_full A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
title_fullStr A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
title_full_unstemmed A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
title_sort physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy
publishDate 2022
url https://hdl.handle.net/10356/162146
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