Page 91 - 《应用声学》2019年第6期

第 38 卷 第 6 期 Vol. 38, No. 6
2019 年 11 月 Journal of Applied Acoustics November, 2019

⋄ 研究报告 ⋄

铝板裂纹缺陷兰姆波阵列瞬时相位包络

成像及补偿 ∗

范佳伟 1,2 李光海 2† 王 强 1

(1 中国计量大学质量与安全工程学院 杭州 310018)

(2 中国特种设备检测研究院 北京 100029)
摘要 针对板结构中多裂纹缺陷的识别和定位问题，提出了瞬时相位全聚焦成像的包络算法以及基于激励信
号脉冲时长的波速补偿方法。通过数值仿真和实验，验证了波速补偿后的瞬时相位包络全聚焦成像对多缺陷
的识别和定位能力。结果表明：与幅值全聚焦成像相比，该方法可以有效减小噪声、直达波、端面回波引起的虚
像，提高缺陷的识别率；与相位全聚焦成像相比，该方法可以实现缺陷处的单峰值聚焦，更便于缺陷的定位。使
用该成像算法在 1000 mm × 500 mm × 1 mm 的铝板上对实现了 5 个缺陷的成像和定位，其定位的平均误差
为 12.24 mm。
关键词 兰姆波，超声阵列，瞬时相位包络算法，波速补偿，全聚焦成像
中图法分类号: O429 文献标识码: A 文章编号: 1000-310X(2019)06-0993-06
DOI: 10.11684/j.issn.1000-310X.2019.06.012

Instantaneous phase envelope imaging and compensation in aluminum plate

using array of Lamb waves

FAN Jiawei 1,2 LI Guanghai 2 WANG Qiang 1

(1 College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China)
(2 China Special Equipment Inspection and Research Institute, Beijing 100029, China)

Abstract Aiming at the problem of the identification and location of multi-crack in the plate structure, an
envelope algorithm for instantaneous phase total focus imaging and a velocity compensation method based
on the pulse duration of the excitation signal are proposed. The ability of identifying and locating multi-
crack by instantaneous phase envelope total focus imaging after velocity compensation is verified by numerical
simulation and experiment. The results show that compared with amplitude total focus imaging, this method
can effectively reduce the virtual image caused by noise, direct wave and end echo, and improve the recognition
rate of defects. Compared with phase total focus imaging, this method can achieve single-peak focusing at the
defect and facilitate the positioning of defects. Five defects are imaged and located on the aluminum plate
using the imaging algorithm and the average error of the location was 12.24 mm.
Key words Lamb wave, Ultrasonic array, Instantaneous phase envelope algorithm, Wave velocity compen-
sation, Total focus imaging

2019-02-24 收稿; 2019-07-01 定稿
国家重点研发计划项目 (2016YFF0203002)
∗
作者简介: 范佳伟 (1994- ), 男, 浙江嘉兴人, 硕士研究生, 研究方向: 超声无损检测技术。
† 通讯作者 E-mail: liguanghai@tsinghua.org.cn