Title: Barkhausen noise as an intrinsic fingerprint for ferromagnetic components

Journal Article · · Smart Materials and Structures

Here in this work, the suitability of magnetic Barkhausen noise as an intrinsic fingerprint of ferromagnetic components is determined. This technique has potential for this application because it is based inherently on the near surface microstructural features of ferromagnetic materials. All materials typically display some variation in their microstructure simply as a result of the manufacturing process (rolling, heat treating, welding, grinding), thus providing the potential that Barkhausen noise measurements between nominally similar components will be unique. In this work, we demonstrate that Barkhausen noise measurements are both repeatable in time for a single sample made from a ferromagnetic material, and unique across a number of instances of nominally similar samples. The results of this work have profound implications in a variety of applications in forensics and physical security. For example, consider the fabrication of the next generation of tamper-evident containers and devices using conventional processes for steel. In addition, since Barkhausen noise is sensitive to changes in microstructures due to grinding and welding, these measurements can be used to detect clandestine repairs and tampering. Finally, because the method inherently results in a time series measurement at each point on a sample, it is expected to have far higher dimensionality than physically similar eddy current measurement. However, the higher dimensionality of Barkhausen measurements suggest that they should be harder to counterfeit than eddy current measurements.

Research Organization:
Los Alamos National Laboratory (LANL)
Sponsoring Organization:
U.S. Department of State; USDOE Office of Legacy Management (LM), Office of Site Operations (LM-20)
Grant/Contract Number:
89233218CNA000001; AC52-06NA25396
OSTI ID:
1483514
Report Number(s):
LA-UR-18-22941
Journal Information:
Smart Materials and Structures, Journal Name: Smart Materials and Structures Journal Issue: 1 Vol. 28; ISSN 0964-1726
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (19)

Region-Based Hierarchical Image Matching journal September 2007
Detection of plastic deformation during fatigue of mild steel by the measurement of Barkhausen noise journal April 1979
Database-friendly random projections: Johnson-Lindenstrauss with binary coins journal June 2003
Correlation between acoustic emission and magnetic and mechanical Barkhausen effects journal May 1999
Fatigue damage assessment in AISI 8620 steel using Barkhausen noise journal June 2005
Quantitative prediction of residual stress and hardness in case-hardened steel based on the Barkhausen noise measurement journal March 2012
A zero-knowledge protocol for nuclear warhead verification journal June 2014
Physical cryptographic verification of nuclear warheads journal July 2016
Supporting Technology for Chain of Custody of Nuclear Weapons and Materials Throughout the Dismantlement and Disposition Processes journal May 2014
The Use of Modal Testing within Nuclear Weapon Dismantlement Verification journal May 2014
The magnetic barkhausen effect journal January 1976
Quantitative nondestructive measurements of residual stresses journal August 1980
The Barkhausen Effect journal April 1948
A graphite oxide (GO)-based remote readable tamper evident seal journal September 2015
Extensions of Lipschitz mappings into a Hilbert space book January 1984
Dimensionality reduction by random mapping: fast similarity computation for clustering
  • Kaski, S.
  • ICNN '98 - International Conference on Neural Networks, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) https://doi.org/10.1109/IJCNN.1998.682302
conference January 1998
Container integrity verification using laser triangulation conference May 2007
Random projection in dimensionality reduction: applications to image and text data conference January 2001
Advanced Techniques for the Measure of Microstructure and Residual Stress in Components Subject to Rolling Fatigue journal April 2009