基于超声TOFD法直通波幅度分布的近表面缺陷检测
Near-surface Defect Inspection Based on Amplitude Distribution of the Through Wave in Ultrasonic TOFD Method
摘 要
针对超声衍射时差法(TOFD)的近表面检测盲区问题，提出一种基于直通波幅度分布分析的近表面缺陷检测方法。在近表面缺陷检测信号的直通波部分选取多个关键点，揭示了各关键点幅度分布与近表面缺陷深度的关系，获得了用于近表面缺陷检测的幅度分布特征值。试验结果表明，该方法能准确检测出埋深1.0 mm的人工缺陷，有效地提高了对近表面缺陷的识别能力。
近表面缺陷
直通波幅值
特征值
TOFD technique
Near-surface defects
Through wave amplitude
Characteristic numbers
Abstract
To solve the rather low recognition capability of near surface defect in ultrasonic time of flight diffraction method, a near-surface defect detection method based on the through wave amplitude distribution analysis is proposed. Several key points in the part of through wave of testing signal are extracted and relationship between the amplitude distribution of key points and depth of near-surface defect is analyzed. The characteristic numbers of amplitude distribution which can be used to test near-surface defect is obtained. The experimental results showed that this technique could accurately detect the artificial defects with buried depth of 1.0mm, and the recognition ability to near-surface defect was effectively improved.
中图分类号 TG115.28
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(11104129);无损检测技术教育部重点实验室开放基金资助项目(ZD201029001)
收稿日期 2013/4/2
修改稿日期
网络出版日期
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备注陈振华(1982-)，男，博士，讲师，主要从事超声数字无损检测技术及其系统方面的研究。
引用该论文: CHEN Zhen-Hua,HU Huai-Hui,LU Chao. Near-surface Defect Inspection Based on Amplitude Distribution of the Through Wave in Ultrasonic TOFD Method[J]. Nondestructive Testing, 2013, 35(11): 47～50
陈振华,胡怀辉,卢超. 基于超声TOFD法直通波幅度分布的近表面缺陷检测[J]. 无损检测, 2013, 35(11): 47～50
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参考文献
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【11】迟大钊, 刚铁, 姚英学, 等. 一种基于超声 TOFD 法的近表面缺陷检测模式［J］. 焊接学报, 2011,32(2):25-28.
【2】Gang Tie, Chi Dazhao. Novel approach to the enhancement of ultrasonic TOFD B-scan image for the measurement of weld crack ［J］. Science and Technology of Welding and Joining,2007 ,12(1):87-93.
【3】迟大钊. 基于超声TOFD法的焊缝缺陷表征研究［D］. 哈尔滨:哈尔滨工业大学，2007:52-71.
【4】陈伟, 詹红庆, 杨贵德, 等. 基于直通波抑制的超声TOFD图像缺陷检测新方法［J］. 无损检测,2010,32(6):402-405.
【5】Atkinson I. High accuracy defect sizing for CRDM penetration adapters using the ultrasonic TOFD technique［J］.Insight: Non–Destructive Testing and Condition Monitoring , 1995, 37( 3) : 175-178.
【6】Chi D Z，Gang T, Gao S S. Background removal and weld defect detection based on energy distribution of image［J］.China Welding,2007,16(1):14-18．
【7】张 锐, 万明习, Cao W W. 超声衍射—回波渡越时间方法焊缝裂纹原位定量无损估计［J］ .机械工程学报, 2000, 36 (5):54-57.
【8】陈天璐, 阙沛文. 基于超声衍射反射回波渡越时间的缺陷识别技术［J］. 化工自动化及仪表, 2006, 33(4):50-52.
【9】Baskaran G, Balasubramaniam K, Rao C L. Shear-wave time of flight diffraction (S-TOFD) technique ［J］. NDT＆E International,2006,39(6):458-467.
【10】孙忠波, 齐向前, 张平. TOFD检测中采用二次波评定进扫查面缺陷尺寸的方法［J］. 无损检测, 2009,31(9):694-696.
【11】迟大钊, 刚铁, 姚英学, 等. 一种基于超声 TOFD 法的近表面缺陷检测模式［J］. 焊接学报, 2011,32(2):25-28.
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