| contributor author | Mawhin | |
| contributor author | M. A.;Seuaciuc-Osorio | |
| contributor author | T. | |
| date accessioned | 2022-08-18T12:55:06Z | |
| date available | 2022-08-18T12:55:06Z | |
| date copyright | 5/10/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 2572-3901 | |
| identifier other | nde_5_4_041003.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4287098 | |
| description abstract | Determination of the present condition of grade 91 steels commonly used in fossil plants presents an ongoing challenge for the industry. Current individual methods of nondestructive evaluations (NDEs) are challenged to reliably determine steel microstructures and are impractical for deployment over large areas such as piping systems. This work investigates the discriminatory potential of an integral assessment combining multiple NDE techniques: magnetic methods (including coercive field, incremental permeability, and Barkhausen noise), thermoelectric power, and ultrasonic methods (including attenuation, backscatter, and absorption). Using a sample inventory of manufactured representative microstructure conditions in thin-walled tubes, five of the eight microstructure conditions could be identified by data fusion. Combined magnetic methods appeared as a primary technique, as this can identify four out of the eight conditions, while the ultrasonic methods can be seen as complimentary tests to increase confidence in classification and identify a fifth condition. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Nondestructive Microstructure Characterization of Tempered Martensitic Steels Through Data Fusion | |
| type | Journal Paper | |
| journal volume | 5 | |
| journal issue | 4 | |
| journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
| identifier doi | 10.1115/1.4054230 | |
| journal fristpage | 41003-1 | |
| journal lastpage | 41003-9 | |
| page | 9 | |
| tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 004 | |
| contenttype | Fulltext | |