The Open UniversitySkip to content
 

Characterisation of electric current treated austenite using misorientation angle distributions in martensite

Omoigiade, Osamudiamen; Haldar, Arunansu and Qin, Rongshan (2017). Characterisation of electric current treated austenite using misorientation angle distributions in martensite. Materials Science and Technology, 33(12) pp. 1432–1441.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (30MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1080/02670836.2017.1304619
Google Scholar: Look up in Google Scholar

Abstract

The angle misorientation distribution of martensite formed from electric current treated and non-treated austenite samples are studied using electron backscatter diffraction. The electric currents are pulsed with a loading width of 80 μs, at a frequency of 100 Hz and current density of 4.21 A/mm2 supplied by a DC Voltage. The majority of angle misorientations are < 5° and exist within the martensite grains, while only a minority of all misorientations are derived from the prior austenite grain boundary and were found to lie in the range 20–50°. Distinct textures develop in both electric current treated and non-treated samples with increased quenching temperature. Analysis of the prior austenite shows reduced grains in the electric current treated samples at all quenching temperatures considered.

Item Type: Journal Item
ISSN: 1743-2847
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 49007
Depositing User: Rongshan Qin
Date Deposited: 22 Mar 2017 16:54
Last Modified: 02 May 2018 14:27
URI: http://oro.open.ac.uk/id/eprint/49007
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU