Your browser doesn't support javascript.
loading
Time-distance domain transformation for Acoustic Emission source localization in thin metallic plates.
Grabowski, Krzysztof; Gawronski, Mateusz; Baran, Ireneusz; Spychalski, Wojciech; Staszewski, Wieslaw J; Uhl, Tadeusz; Kundu, Tribikram; Packo, Pawel.
Afiliación
  • Grabowski K; AGH University of Science and Technology, Krakow, Poland.
  • Gawronski M; AGH University of Science and Technology, Krakow, Poland.
  • Baran I; Cracow University of Technology, Krakow, Poland.
  • Spychalski W; Warsaw University of Technology, Warsaw, Poland.
  • Staszewski WJ; AGH University of Science and Technology, Krakow, Poland.
  • Uhl T; AGH University of Science and Technology, Krakow, Poland.
  • Kundu T; University of Arizona, Tucson, USA.
  • Packo P; AGH University of Science and Technology, Krakow, Poland. Electronic address: pawel.packo@agh.edu.pl.
Ultrasonics ; 68: 142-9, 2016 May.
Article en En | MEDLINE | ID: mdl-26950889
Acoustic Emission used in Non-Destructive Testing is focused on analysis of elastic waves propagating in mechanical structures. Then any information carried by generated acoustic waves, further recorded by a set of transducers, allow to determine integrity of these structures. It is clear that material properties and geometry strongly impacts the result. In this paper a method for Acoustic Emission source localization in thin plates is presented. The approach is based on the Time-Distance Domain Transform, that is a wavenumber-frequency mapping technique for precise event localization. The major advantage of the technique is dispersion compensation through a phase-shifting of investigated waveforms in order to acquire the most accurate output, allowing for source-sensor distance estimation using a single transducer. The accuracy and robustness of the above process are also investigated. This includes the study of Young's modulus value and numerical parameters influence on damage detection. By merging the Time-Distance Domain Transform with an optimal distance selection technique, an identification-localization algorithm is achieved. The method is investigated analytically, numerically and experimentally. The latter involves both laboratory and large scale industrial tests.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ultrasonics Año: 2016 Tipo del documento: Article País de afiliación: Polonia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ultrasonics Año: 2016 Tipo del documento: Article País de afiliación: Polonia
...