| 沙正骁,曾甘露,梁菁,陆铭慧,何方成,陆传雨.应用超声干涉特征识别微小缺陷[J].,2022,41(1):124-131 |
| 应用超声干涉特征识别微小缺陷 |
| Application of ultrasonic interference features to identify micro defects |
| 投稿时间：2021-03-01 修订日期：2022-01-05 |
| 中文摘要: |
| 航空用金属材料中允许存在的缺陷越来越小，有时需要识别几十微米的夹渣缺陷。由于微小缺陷对声波的反射能力弱，常用的超声脉冲反射法的识别能力遇到瓶颈。该文利用超声干涉原理对微小缺陷进行识别。首先，理论分析入射波与微缺陷散射波的干涉机理；其次，采用有限元仿真方法分析了入射波经过微小缺陷后的波形变化，归纳出入射波与微缺陷散射波干涉规律。最后，以底波尾部干涉波列幅值作为成像参量对微小缺陷试样进行了成像检测，得到微小缺陷灰度图像。研究结果表明：该方法能够有效识别埋深5~80 mm、孔径为 φ0.1mm的微小缺陷，当缺陷埋深小于5 mm时，能够有效区分横向间距1 mm、φ0.2mm 的相邻微缺陷。 |
| 英文摘要: |
| The allowable defects in aviation metal materials are getting smaller and smaller, sometimes it is necessary to identify the slag inclusion defects of tens of microns. Due to the weak reflection ability of micro defects to sound waves, the recognition ability of the commonly used ultrasonic pulse reflection method meets the bottleneck. In this paper, the principle of ultrasonic interference is used to identify micro defects. Firstly, the interference mechanism between incident wave and scattering wave is analyzed theoretically. Secondly, the waveform variation of the incident wave after passing through micro defect is analyzed by finite element simulation method, and the interference pattern between the incident and scattering waves is summarized. Finally, the amplitude of the interference pattern at the end of the wave is used as the imaging parameter to identify the micro defect, and the gray image of the micro defect is obtained. The results show that: the method can effectively identify the φ0.1mm micro defects at the depth of 5-80 mm, and can effectively distinguish the adjacent φ0.2mm micro defects with a transverse spacing of 1 mm when the defect depth is less than 5 mm. |
| DOI：10.11684/j.issn.1000-310X.2022.01.015 |
| 中文关键词: 微小缺陷 散射波 超声干涉 有限元仿真 |
| 英文关键词: Micro defects Scattered waves Ultrasonic interference Finite element simulation |
| 基金项目: |
|
| 摘要点击次数: 902 |
| 全文下载次数: 1015 |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
