Acoustic wave detection of laser shock peening
In order to overcome the existing disadvantages of offline laser shock peening detection methods, an online detection method based on acoustic wave signals energy is provided. During the laser shock peening, an acoustic emission sensor at a defined position is used to collect the acoustic wave signa...
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Institue of Optics and Electronics, Chinese Academy of Sciences
2018
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oai:doaj.org-article:1e2680df55dd4aa58e46d7796a4df4902021-11-11T10:06:36ZAcoustic wave detection of laser shock peening2096-457910.29026/oea.2018.180016https://doaj.org/article/1e2680df55dd4aa58e46d7796a4df4902018-12-01T00:00:00Zhttp://www.oejournal.org/article/doi/10.29026/oea.2018.180016https://doaj.org/toc/2096-4579In order to overcome the existing disadvantages of offline laser shock peening detection methods, an online detection method based on acoustic wave signals energy is provided. During the laser shock peening, an acoustic emission sensor at a defined position is used to collect the acoustic wave signals that propagate in the air. The acoustic wave signal is sampled, stored, digitally filtered and analyzed by the online laser shock peening detection system. Then the system gets the acoustic wave signal energy to measure the quality of the laser shock peening by establishing the correspondence between the acoustic wave signal energy and the laser pulse energy. The surface residual stresses of the samples are measured by X-ray stress analysis instrument to verify the reliability. The results show that both the surface residual stress and acoustic wave signal energy are increased with the laser pulse energy, and their growth trends are consistent. Finally, the empirical formula between the surface residual stress and the acoustic wave signal energy is established by the cubic equation fitting, which will provide a theoretical basis for the real-time online detection of laser shock peening.Wu JiajunZhao JibinQiao HongchaoLiu XuejunZhang YinuoHu TaiyouInstitue of Optics and Electronics, Chinese Academy of Sciencesarticlelaser shock peeningacoustic wavelaser pulse energysurface residual stressacoustic wave signal energyonline detectionlaser shock peeningacoustic wavelaser pulse energysurface residual stressacoustic wave signal energyonline detectionOptics. LightQC350-467ENOpto-Electronic Advances, Vol 1, Iss 9, Pp 180016-1-180016-5 (2018) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
laser shock peening acoustic wave laser pulse energy surface residual stress acoustic wave signal energy online detectionlaser shock peening acoustic wave laser pulse energy surface residual stress acoustic wave signal energy online detection Optics. Light QC350-467 |
| spellingShingle |
laser shock peening acoustic wave laser pulse energy surface residual stress acoustic wave signal energy online detectionlaser shock peening acoustic wave laser pulse energy surface residual stress acoustic wave signal energy online detection Optics. Light QC350-467 Wu Jiajun Zhao Jibin Qiao Hongchao Liu Xuejun Zhang Yinuo Hu Taiyou Acoustic wave detection of laser shock peening |
| description |
In order to overcome the existing disadvantages of offline laser shock peening detection methods, an online detection method based on acoustic wave signals energy is provided. During the laser shock peening, an acoustic emission sensor at a defined position is used to collect the acoustic wave signals that propagate in the air. The acoustic wave signal is sampled, stored, digitally filtered and analyzed by the online laser shock peening detection system. Then the system gets the acoustic wave signal energy to measure the quality of the laser shock peening by establishing the correspondence between the acoustic wave signal energy and the laser pulse energy. The surface residual stresses of the samples are measured by X-ray stress analysis instrument to verify the reliability. The results show that both the surface residual stress and acoustic wave signal energy are increased with the laser pulse energy, and their growth trends are consistent. Finally, the empirical formula between the surface residual stress and the acoustic wave signal energy is established by the cubic equation fitting, which will provide a theoretical basis for the real-time online detection of laser shock peening. |
| format |
article |
| author |
Wu Jiajun Zhao Jibin Qiao Hongchao Liu Xuejun Zhang Yinuo Hu Taiyou |
| author_facet |
Wu Jiajun Zhao Jibin Qiao Hongchao Liu Xuejun Zhang Yinuo Hu Taiyou |
| author_sort |
Wu Jiajun |
| title |
Acoustic wave detection of laser shock peening |
| title_short |
Acoustic wave detection of laser shock peening |
| title_full |
Acoustic wave detection of laser shock peening |
| title_fullStr |
Acoustic wave detection of laser shock peening |
| title_full_unstemmed |
Acoustic wave detection of laser shock peening |
| title_sort |
acoustic wave detection of laser shock peening |
| publisher |
Institue of Optics and Electronics, Chinese Academy of Sciences |
| publishDate |
2018 |
| url |
https://doaj.org/article/1e2680df55dd4aa58e46d7796a4df490 |
| work_keys_str_mv |
AT wujiajun acousticwavedetectionoflasershockpeening AT zhaojibin acousticwavedetectionoflasershockpeening AT qiaohongchao acousticwavedetectionoflasershockpeening AT liuxuejun acousticwavedetectionoflasershockpeening AT zhangyinuo acousticwavedetectionoflasershockpeening AT hutaiyou acousticwavedetectionoflasershockpeening |
| _version_ |
1718439195256553472 |