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基于波速分析的激光超声检测技术

曾伟, 王海涛, 田贵云, 胡国星, 杨先明, 万敏

曾伟, 王海涛, 田贵云, 胡国星, 杨先明, 万敏. 基于波速分析的激光超声检测技术[J]. 无损检测, 2014, 36(12): 38-41.
引用本文: 曾伟, 王海涛, 田贵云, 胡国星, 杨先明, 万敏. 基于波速分析的激光超声检测技术[J]. 无损检测, 2014, 36(12): 38-41.
ZENG Wei, WANG Hai-tao, TIAN Gui-yun, HU Guo-xing, YANG Xian-ming, WAN Min. Laser Ultrasound Detection Technology Based on Velocity Analysis[J]. Nondestructive Testing, 2014, 36(12): 38-41.
Citation: ZENG Wei, WANG Hai-tao, TIAN Gui-yun, HU Guo-xing, YANG Xian-ming, WAN Min. Laser Ultrasound Detection Technology Based on Velocity Analysis[J]. Nondestructive Testing, 2014, 36(12): 38-41.

基于波速分析的激光超声检测技术

基金项目: 

江苏省研究生培养创新工程KYLX_0252中央高校基本科研业务费专项资金资助、国家科技部国际合作资助项目(2011DER71080)欧盟FP7资助项目“Health monitoring of offshore wind farms”(FP7-PEOPLE-2010-IRSES 269202)

详细信息
    作者简介:

    曾伟(1984-), 男, 博士生, 主要从事激光超声波无损检测技术工作。

  • 中图分类号: TN247;TG115.28

Laser Ultrasound Detection Technology Based on Velocity Analysis

  • 摘要: 介绍了一种基于波速分析的激光超声波成像技术, 在铝材料表面进行二维扫描, 同时在扫描区域一侧采取超声波传感器接收信号, 详细分析了超声波在有缺陷和无缺陷的不同位置传播的波速图像。试验结果表明:超声波波速图像技术能有效地检测出被检测材料表面缺陷的位置, 这为缺陷的定量检测提供了基础。
    Abstract: This paper describes a laser ultrasound imaging technology based on velocity analysis.Scanning the Al surface in two dimensions, simultaneously the ultrasonic wave was simultaneously received by the transducer on the other side of the scanning area, and detailed analysis of the ultrasonic propagation velocity image at the different positions within defect and no-defect was carried out. The experimental results show that the laser ultrasound imaging technology based on velocity analysis can effectively detect the position of the defect, which provides the basis for the quantitative defect detection.
  • [1] 周德强, 张斌强, 田贵云, 等. 脉冲涡流检测中裂纹的深度定量及分类识别[J].仪器仪表学报, 2009, 30(6):1190-1194.
    [2] 赵慎, 杨俊, 乔纯捷, 等.超声信号拉盖尔模型及在渡越时间测量中的应用[J]. 仪器仪表学报, 2013, 34(3):797-802.
    [3] 曾伟, 杨先明, 王海涛, 等,激光超声技术及其应用[J].无损检测,2013,35(12):49-52.
    [4] 曾伟,王海涛,田贵云, 等.激光超声波成像技术在奥氏体不锈钢焊缝检测中的研究[J].中国激光 2014,41(7):0703004 1-5.
    [5] 曾伟,王海涛,田贵云, 等. 基于能量分析的激光超声波缺陷检测研究[J].仪器仪表学报 2014,35(3):14-19.
    [6] HALL J S, MICHAELS J E. Minimum variance ultrasonic imaging applied to an in situ sparse guided wave array[J]. IEEE Trans. Ultrasonis. Ferroelectr. Freq.Control. 2010,57 (10): 2311–2323.
    [7] HALL J S, MCKEON P, SATYANARAYAN L, et al. Minimum variance guided wave imaging in a quasi-isotropic composite plate[J]. Smart Materials and Structures. 2011,1 (14): 025-013.
    [8] HIROSHI TSUDA, JUNG-RYUL LEE, YISHENG GUAN. Investigation of fatigue crack in stainless steel using a mobile fiber bragg grating ultrasonic sensor[J]. Optical Fiber Technology ,2007, 13(3) :209-214.
    [9] Wei ZENG, Haitao WANG, Guiyun TIAN, et al. Application of a non-contact laser ultrasonic Imaging technique in surface defect detection[J].Proceedings of 2014 IEEE Far East Forum on Nondestructive Evaluation/testing: New Technology & Application,2014,23(1):30-33.
    [10] 曾伟,王海涛,田贵云,等.基于Hilbert变换的激光超声波成像技术在缺陷检测中的应用[J].中国激光,2014,41(5):1-7.
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出版历程
  • 收稿日期:  2014-06-24

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