孙静茹,李京龙,豆建新,等.铝合金回填式搅拌摩擦点焊缺陷的超声检测及信号识别[J].精密成形工程,2019,11(6):65-72.
SUN Jing-ru,LI Jing-long,DOU Jian-xin,et al.Ultrasonic Testing and Signal Identification of the Defects in Aluminium Alloy Refill Friction Stir Spot Welding[J].Journal of Netshape Forming Engineering,2019,11(6):65-72. |
| 铝合金回填式搅拌摩擦点焊缺陷的超声检测及信号识别 |
| Ultrasonic Testing and Signal Identification of the Defects in Aluminium Alloy Refill Friction Stir Spot Welding |
| 投稿时间：2019-08-31 修订日期：2019-11-10 |
| DOI：10.3969/j.issn.1674-6457.2019.06.011 |
| 中文关键词: 回填式搅拌摩擦点焊 超声检测 时频变换 小波分析 |
| 英文关键词: RFSSW ultrasonic C-scan time-frequency transform wavelet analysis |
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| 中文摘要: |
| 目的 利用水浸聚焦超声C扫描对2524铝合金回填式搅拌摩擦点焊（RFSSW）接头进行检测并完成缺陷识别。方法 以A扫描时域信号为对象，绘制能量谱与金相作对照，确定焊合区；分析未焊合、聚集型孔洞及弥散型孔洞的时域和频域波形特征，并对频域信号进行小波分析，提取特征量。结果 缺陷区反射回波的归一化能量不低于0.02；不同形式的缺陷（聚集型孔洞、弥散型孔洞、弱连接）其频谱形状特征不同，具有不同的峰值个数。结论 通过金相验证，表明超声波C扫描对接头缺陷可进行有效的检测和区分。 |
| 英文摘要: |
| The paper aims to conduct immersion ultrasonic C-scan test for identifying different defects of the 2524 aluminum alloy joints with refill friction stir spot welding (RFSSW). With A-scan signal as the object, the energy spectrum was compared with the microstructures to determine the welded area. The time-domain and frequency-domain waveform characteristics of the unwelded, aggregated and dispersed holes were analyzed. The frequency-domain signal was analyzed by wavelet analysis to extract the feature. The normalized energy of reflection echo in the defect zone was not less than 0.02; different defects (aggregated, dispersed holes and kissing bond) had different frequency spectrum features and different peaks. The result of metallographic verification demonstrates that ultrasonic C-scan can effectively detect and distinguish defects of the joints. |
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