| Description |
1 online resource |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Series |
Woodhead Publishing Series in Electronic and Optical Materials |
|
Woodhead Publishing series in electronic and optical materials.
|
| Note |
Includes index. |
| Contents |
Intro -- Title page -- Table of Contents -- Copyright -- Contributors -- Preface -- Acknowledgment -- 1: Introduction -- Abstract -- 1.1 Brief history of Barkhausen noise -- 1.2 Physical foundations of Barkhausen noise -- 1.3 Spatial distribution and detection of BN -- 1.4 Relationship between Barkhausen noise and hysteresis -- 1.5 Stochastic vs. deterministic nature of Barkhausen noise -- 1.6 Applications -- 2: Measurement methods -- Abstract -- 2.1 Historical overview -- 2.2 Sample magnetization -- 2.3 Barkhausen noise detection -- 2.4 Signal processing -- 2.5 Measurement repeatability |
|
3: Quantitative characterization of Barkhausen noise -- Abstract -- 3.1 Introduction -- 3.2 Magnitudes that characterize the BN signal -- 3.3 BN jump parameters -- 3.4 Probabilistic neural networks (PNN) -- 3.5 Feature extraction -- 3.6 The general self-organizing maps (SOM) algorithm -- 3.7 Initialization method for the SOM using BN signals -- 3.8 Deep neural networks -- 3.9 Concluding remarks -- 4: Materials -- Abstract -- 4.1 Introduction -- 4.2 Microstructural characteristics of low-carbon steels -- 4.3 Methods for the investigation of low-carbon steels |
|
5: Barkhausen noise for material characterization -- Abstract -- 5.1 Introduction -- 5.2 Advantages and disadvantages of BN for material characterization -- 5.3 Dependence of BN on grain size -- 5.4 Influence of the carbon content on BN -- 5.5 Influence of applied tensile stress on BN -- 5.6 Influence of the uniaxial applied tensile stress on the BN signal -- 5.7 Influence of applied tensile stress on the angular dependence of BN -- 5.8 Influence of the uniaxial plastic deformation on the BN -- 5.9 Influence of simultaneous variation microstructural parameters on BN |
|
5.10 Dependence of BN on plastic deformation and carbon content -- 5.11 Concluding remarks -- 6: Correlation between Barkhausen noise and magnetocrystalline anisotropy energy -- Abstract -- Acknowledgments -- 6.1 Introduction -- 6.2 MAE in a crystal -- 6.3 Determination of MAE in polycrystalline materials -- 6.4 MAE from EBSD microtexture measurements -- 6.5 Estimation of MAE from Barkhausen noise measurements in APL 5L steels -- 6.6 Correlation between MAE and Barkhausen noise -- 6.7 Correlation between EBSD microtexture-derived MAE and Barkhausen noise measurements |
|
7: Model for the correlation between Barkhausen noise and, microstructure, and physical properties -- Abstract -- 7.1 Introduction -- 7.2 Review of current models of Barkhausen noise -- 7.3 Modeling the BN time-dependent signal -- 7.4 Modeling the average MAE from Barkhausen noise -- 7.5 Concluding remarks -- 8: Micromagnetic nondestructive testing Barkhausen noise vs other techniques -- Abstract -- 8.1 Introduction -- 8.2 Eddy current testing -- 8.3 Magnetic incremental permeability -- 8.4 Single and double needle probe method -- 8.5 Magnetic Barkhausen noise nondestructive testing method |
| Subject |
Barkhausen effect.
|
|
Nondestructive testing.
|
|
Effet Barkhausen.
|
|
Contrôle non destructif.
|
|
nondestructive testing.
|
|
Barkhausen effect
|
|
Nondestructive testing
|
| Added Author |
Manh, Tu Le.
|
| Other Form: |
Print version: Barkhausen noise for nondestructive testing and materials characterization in low-carbon steels. Duxford : Woodhead Publishing, 2020 0081028008 9780081028001 (OCoLC)1127114597 |
| ISBN |
9780081028780 (electronic bk.) |
|
0081028784 (electronic bk.) |
|
9780081028001 |
|
0081028008 |
| Standard No. |
AU@ 000067506987 |
|
AU@ 000068659022 |
|
UKMGB 019811035 |
|
