Results 181 to 190 of about 62,131 (245)

Evaluation of the stress gradient of the superficial layer in ferromagnetic components based on sub-band energy of magnetic Barkhausen noise

Nondestructive Testing and Evaluation, 2021
Since magnetic Barkhausen noise is very sensitive to the change of the stress or residual stress level in components, it is feasible to detect the stress or residual stress profile along the depth direction by the magnetic Barkhausen noise method.
J. Di, C. He, Y. Lee, Xiucheng Liu
semanticscholar   +1 more source

Evaluation of the wear mechanism of ferromagnetic materials based on magnetic barkhausen noise

Nondestructive Testing and Evaluation
As a typical form of damage, wear greatly affects the service properties of products, and non-destructive evaluation of the degree of wear is urgently needed.
Zhengchun Qian, Xinglin Miao, Jie Wang, Chaolin Yang, Wei Zhang, Zhaoguo Chen, Guangrong Li, Hong-Fei Xu, Huanbo Cheng, Haihong Huang   +9 more
semanticscholar   +1 more source

Barkhausen Noise and Size Effects in Magnetic Microstructures

Journal of Applied Physics, 2001
The properties of the Barkhausen noise in a series of permalloy squares have been measured with a magneto-optical hysteresigraph. The magnetic structures have been litographically defined in a permalloy film (thickness 160 nm) as squares having a size from 20 to 320 μm.
L. Callegaro, PUPPIN, EZIO
openaire   +4 more sources

Multigradient Characterization of the Strain in Low-Carbon Steel Components Based on Magnetic Barkhausen Noise Method

IEEE Sensors Journal
Based on the hypothesis that each magnetic domain is considered as a magnetic Barkhausen noise (MBN) emission “source,” a layered model describing the generation mechanism and propagation attenuation of the “source” signal is built.
J. Di
semanticscholar   +1 more source

Effect of Noise on Accuracy of Grain Size Evaluation by Magnetic Barkhausen Noise Analysis

International Journal of Automation Technology
Magnetic Barkhausen noise (MBN) is a magnetic signal caused by domain wall motion and is used for non-destructive testing and evaluation of ferromagnetic materials because of its sensitivity to both mechanical and magnetic properties.
Kanna Omae, T. Yamazaki, Kohya Sano, C. Oka, J. Sakurai, Seiichi Hata   +5 more
semanticscholar   +1 more source

Simulation of the magnetic Barkhausen noise

2020
Non-destructive magnetic controls are increasing in the industrial field 1. In this domain, the expectation for simulation tools able to anticipate the magnetic signature, improve the understanding and avoid fastidious and uncertain experimental pre-characterizations is high.
Fagan, Patrick, Ducharne, Benjamin, Daniel, Laurent, Skarlatos, Anastasios   +3 more
openaire   +1 more source

Magnetic Barkhausen Noise Testing for Subsurface Discontinuities under DC Magnetization

Materials Evaluation, 2020
Subsurface discontinuities are inevitably formed during the long-term operations of pipelines, oil tanks, ship hulls, and the like. However, it is still a big challenge to detect deeply buried subsurface discontinuities using existing nondestructive testing methods.
Chenyong Liu, Jianbo Wu, Song Ding, Zihan Wang, Yunfei Zhang   +4 more
openaire   +1 more source

An improved hidden Markov model with magnetic Barkhausen noise and optimized Gaussian mixture feature for fatigue prediction

Measurement science and technology
Evaluating fatigue states of metallic materials is essential for predicting their failures and ensuring structural safety. Magnetic Barkhausen noise (MBN) analysis, a non-destructive testing method, provides efficient and reliable methods for identifying
Xiang Li, Wei Guo, Xin Deng, Yitong Guo, Yang Zheng, Jinjie Zhou, Peng Zhan   +6 more
semanticscholar   +1 more source

MAGNETIC BARKHAUSEN NOISE INDICATORS OF CRACKS IN STEEL

Nondestructive Testing and Evaluation, 1997
High resolution magnetic Barkhausen noise (MBN) measurements were performed on cracks that were present in a section of 390 mm diameter and 29 mm thick steel pipe. The MBN indicators considered were the MBN energy signal, the number of events, and the variation of pulse height distributions (PHD) in the crack vicinity.
THOMAS W. KRAUSE, D.L. ATHERTON, S.P. SULLIVAN   +2 more
openaire   +1 more source

Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples

, 2021
Martensitic grade stainless-steel is generally used to manufacture steam turbine blades in power plants. The material degradation of those turbine blades, due to fatigue, will induce unexpected equipment damage. Fatigue cracks, too small to be detected,
Zi Li, Bharath Basti Shenoy, L. Udpa, S. Udpa, Yiming Deng   +4 more
semanticscholar   +1 more source