Zhou, L. Q., Patel, R. L., Frangeskou, Angelo, Nikitin, Alexander, Green, Ben L., Breeze, Ben, Onoda, S., Isoya, J. and Morley, Gavin W. (2020) Data for Imaging damage in steel using a diamond magnetometer. [Dataset]

Archive (ZIP) (Zip archive) 1) Steel Open Source Data.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (519Mb)

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Abstract

We demonstrate a simple, robust, and contactless method for nondestructive testing of magnetic materials such as steel. This uses a fiber-coupled magnetic sensor based on nitrogen-vacancy centers (NVCs) in diamond without magnetic shielding. Previous NVC magnetometry has sought a homogeneous bias magnetic field on the diamond to improve the sensitivity. In contrast, here we show that the spatial resolution for imaging is improved by applying an inhomogeneous magnetic field to the steel even though this leads to an inhomogeneous magnetic field on the diamond. Structural damage in the steel distorts the inhomogeneous magnetic field and by detecting this distortion we reconstruct the damage profile through quantifying the shifts in the NVC Zeeman splitting. With a 1-mm magnet as the source of our inhomogeneous magnetic field, we achieve a high spatial resolution of 1 mm in the plane parallel and 0.1 mm in the direction perpendicular to the surface of the steel. This works even when the steel is covered by a nonmagnetic material. The lift-off distance of our sensor head from the surface of 316 stainless steel is up to 3 mm.

Item Type:	Dataset
Subjects:	Q Science > QC Physics
Divisions:	Faculty of Science, Engineering and Medicine > Science > Physics
Type of Data:	Experimental data
Library of Congress Subject Headings (LCSH):	Steel -- Magnetic properties, Magnetic fields -- Measurement, Magnetic resonance, Diamonds -- Nondestructive testing
Publisher:	University of Warwick, Department of Physics
Official Date:	16 December 2020
Dates:	Date Event 16 December 2020 Created
Status:	Not Peer Reviewed
Publication Status:	Published
Media of Output (format):	.csv, .txt
Access rights to Published version:	Open Access
Description:	Data record consists of a single zip archive organised according to data contained. Raw data is primarily in csv format, with each subfolder containing an explanatory readme txt file.
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID EP/L015315/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 Impact Accelerator Account [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 EP/M013243/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 EP/T001062/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 UNSPECIFIED Royal Society http://dx.doi.org/10.13039/501100000288
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Depositor Morley, Gavin W. 47872

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