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Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys
Crystals, Volume: 8, Issue: 5, Start page: 212
Swansea University Author: Thomas Simm
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DOI (Published version): 10.3390/cryst8050212
Abstract
Diffraction peak profile analysis (DPPA) is a valuable method to understand the microstructure and defects present in a crystalline material. Peak broadening anisotropy, where broadening of a diffraction peak doesn’t change smoothly with 2θ or d-spacing, is an important aspect of these methods. Ther...
Published in: | Crystals |
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ISSN: | 2073-4352 |
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MDPI
2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa40138 |
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2018-08-06T14:25:08.5404669 v2 40138 2018-05-14 Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys 10fa7732a6aee5613ff1364dc8460972 0000-0001-6305-9809 Thomas Simm Thomas Simm true false 2018-05-14 Diffraction peak profile analysis (DPPA) is a valuable method to understand the microstructure and defects present in a crystalline material. Peak broadening anisotropy, where broadening of a diffraction peak doesn’t change smoothly with 2θ or d-spacing, is an important aspect of these methods. There are numerous approaches to take to deal with this anisotropy in metal alloys, which can be used to gain information about the dislocation types present in a sample and the amount of planar faults. However, there are problems in determining which method to use and the potential errors that can result. This is particularly the case for hexagonal close packed (HCP) alloys. There is though a distinct advantage of broadening anisotropy in that it provides a unique and potentially valuable way to develop crystal plasticity and work-hardening models. In this work we use several practical examples of the use of DPPA to highlight the issues of broadening anisotropy. Journal Article Crystals 8 5 212 MDPI 2073-4352 diffraction peak profile analysis (DPPA); contrast factor; dislocations; twinning; crystal plasticity; planar faults; powder diffraction 13 5 2018 2018-05-13 10.3390/cryst8050212 COLLEGE NANME COLLEGE CODE Swansea University ERDF 2018-08-06T14:25:08.5404669 2018-05-14T11:21:55.3697468 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Thomas Simm 0000-0001-6305-9809 1 0040138-14052018112302.pdf crystals-08-00212(1).pdf 2018-05-14T11:23:02.8670000 Output 13867624 application/pdf Version of Record true 2018-05-14T00:00:00.0000000 true eng |
title |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
spellingShingle |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys Thomas Simm |
title_short |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
title_full |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
title_fullStr |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
title_full_unstemmed |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
title_sort |
Peak Broadening Anisotropy and the Contrast Factor in Metal Alloys |
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10fa7732a6aee5613ff1364dc8460972 |
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Thomas Simm |
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Thomas Simm |
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Crystals |
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Diffraction peak profile analysis (DPPA) is a valuable method to understand the microstructure and defects present in a crystalline material. Peak broadening anisotropy, where broadening of a diffraction peak doesn’t change smoothly with 2θ or d-spacing, is an important aspect of these methods. There are numerous approaches to take to deal with this anisotropy in metal alloys, which can be used to gain information about the dislocation types present in a sample and the amount of planar faults. However, there are problems in determining which method to use and the potential errors that can result. This is particularly the case for hexagonal close packed (HCP) alloys. There is though a distinct advantage of broadening anisotropy in that it provides a unique and potentially valuable way to develop crystal plasticity and work-hardening models. In this work we use several practical examples of the use of DPPA to highlight the issues of broadening anisotropy. |
published_date |
2018-05-13T13:28:28Z |
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1821321679970762752 |
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11.048042 |