Pulsed magnetic flux leakage method for hairline crack detection and characterization
The Magnetic Flux leakage (MFL) method is a well-established branch of electromagnetic Non-Destructive Testing (NDT), extensively used for evaluating defects both on the surface and far-surface of pipeline structures. However the conventional techniques are not capable of estimating their approximat...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2018-04-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/1.4994187 |
| _version_ | 1818277335366893568 |
|---|---|
| author | Chukwunonso K. Okolo Turgut Meydan |
| author_facet | Chukwunonso K. Okolo Turgut Meydan |
| author_sort | Chukwunonso K. Okolo |
| collection | DOAJ |
| description | The Magnetic Flux leakage (MFL) method is a well-established branch of electromagnetic Non-Destructive Testing (NDT), extensively used for evaluating defects both on the surface and far-surface of pipeline structures. However the conventional techniques are not capable of estimating their approximate size, location and orientation, hence an additional transducer is required to provide the extra information needed. This research is aimed at solving the inevitable problem of granular bond separation which occurs during manufacturing, leaving pipeline structures with miniature cracks. It reports on a quantitative approach based on the Pulsed Magnetic Flux Leakage (PMFL) method, for the detection and characterization of the signals produced by tangentially oriented rectangular surface and far-surface hairline cracks. This was achieved through visualization and 3D imaging of the leakage field. The investigation compared finite element numerical simulation with experimental data. Experiments were carried out using a 10mm thick low carbon steel plate containing artificial hairline cracks with various depth sizes, and different features were extracted from the transient signal. The influence of sensor lift-off and pulse width variation on the magnetic field distribution which affects the detection capability of various hairline cracks located at different depths in the specimen is explored. The findings show that the proposed technique can be used to classify both surface and far-surface hairline cracks and can form the basis for an enhanced hairline crack detection and characterization for pipeline health monitoring. |
| first_indexed | 2024-12-12T22:59:54Z |
| format | Article |
| id | doaj.art-fbf348e4135440f99e604c18f53215cf |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-12-12T22:59:54Z |
| publishDate | 2018-04-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-fbf348e4135440f99e604c18f53215cf2022-12-22T00:08:51ZengAIP Publishing LLCAIP Advances2158-32262018-04-0184047207047207-1210.1063/1.4994187055891ADVPulsed magnetic flux leakage method for hairline crack detection and characterizationChukwunonso K. Okolo0Turgut Meydan1Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKWolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKThe Magnetic Flux leakage (MFL) method is a well-established branch of electromagnetic Non-Destructive Testing (NDT), extensively used for evaluating defects both on the surface and far-surface of pipeline structures. However the conventional techniques are not capable of estimating their approximate size, location and orientation, hence an additional transducer is required to provide the extra information needed. This research is aimed at solving the inevitable problem of granular bond separation which occurs during manufacturing, leaving pipeline structures with miniature cracks. It reports on a quantitative approach based on the Pulsed Magnetic Flux Leakage (PMFL) method, for the detection and characterization of the signals produced by tangentially oriented rectangular surface and far-surface hairline cracks. This was achieved through visualization and 3D imaging of the leakage field. The investigation compared finite element numerical simulation with experimental data. Experiments were carried out using a 10mm thick low carbon steel plate containing artificial hairline cracks with various depth sizes, and different features were extracted from the transient signal. The influence of sensor lift-off and pulse width variation on the magnetic field distribution which affects the detection capability of various hairline cracks located at different depths in the specimen is explored. The findings show that the proposed technique can be used to classify both surface and far-surface hairline cracks and can form the basis for an enhanced hairline crack detection and characterization for pipeline health monitoring.http://dx.doi.org/10.1063/1.4994187 |
| spellingShingle | Chukwunonso K. Okolo Turgut Meydan Pulsed magnetic flux leakage method for hairline crack detection and characterization AIP Advances |
| title | Pulsed magnetic flux leakage method for hairline crack detection and characterization |
| title_full | Pulsed magnetic flux leakage method for hairline crack detection and characterization |
| title_fullStr | Pulsed magnetic flux leakage method for hairline crack detection and characterization |
| title_full_unstemmed | Pulsed magnetic flux leakage method for hairline crack detection and characterization |
| title_short | Pulsed magnetic flux leakage method for hairline crack detection and characterization |
| title_sort | pulsed magnetic flux leakage method for hairline crack detection and characterization |
| url | http://dx.doi.org/10.1063/1.4994187 |
| work_keys_str_mv | AT chukwunonsokokolo pulsedmagneticfluxleakagemethodforhairlinecrackdetectionandcharacterization AT turgutmeydan pulsedmagneticfluxleakagemethodforhairlinecrackdetectionandcharacterization |