2009
DOI: 10.4271/2009-01-0421
|View full text |Cite
|
Sign up to set email alerts
|

Advanced Techniques for the Measure of Microstructure and Residual Stress in Components Subject to Rolling Fatigue

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2018
2018

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 3 publications
0
3
0
Order By: Relevance
“…For the purpose of this work, the only component of the measurement that was recorded and used for analysis was the magnetoelastic parameter (MP). The MP parameter is the root mean square value (RMS) value of the filtered Barkhausen noise burst [3]. All measurements in this work were completed using the Rollscan 350 finite impulse response (FIR) filter set with a passband from 10 to 70 kHz.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…For the purpose of this work, the only component of the measurement that was recorded and used for analysis was the magnetoelastic parameter (MP). The MP parameter is the root mean square value (RMS) value of the filtered Barkhausen noise burst [3]. All measurements in this work were completed using the Rollscan 350 finite impulse response (FIR) filter set with a passband from 10 to 70 kHz.…”
Section: Methodsmentioning
confidence: 99%
“…Barkhausen noise is a magnetic noise phenomena that is observed in ferromagnetic materials when they are exposed to a time-varying magnetic field. This phenomena was discovered by Heinrich Barkhausen [1][2][3] and is caused by rapid shifting of the walls of magnetic domains (regions where electron 'spin' arrangements are the same for all atoms) in ferromagnetic materials. With the aid of vacuum tube amplifiers he observed the presence of weak magnetic field noise emanating from ferromagnetic materials when a timevarying magnetic field was applied.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation