Accurate Location of Key Features in Ultrasonic-based Spot Weld Inspection

A. Baradarani, A. Denisov, R. Maev
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引用次数: 0

Abstract

Ultrasonic-based non-destructive spot weld inspection techniques heavily rely on advanced signal processing al-gorithms developed for this particular application. RSWA-F1® [1] and RSWA-F2® [2] are two portable ultrasonic devices from Tessoni® designed and manufactured for the use in automotive industry to evaluate the quality of resistance spot welds. Both the RSWA-F1® and RSWA-F2® employ the multi-channel matrix transducer technology to collect and analyze data from the surface and internal structures of the weld. The original signal processing algorithm used in the first generation of the RSWA was based on detecting the amplitude of internal reflection between welded metal plates. The second generation on the other hand incorporated the secondary echo detection analysis because the amplitudes of internal reflections were often small compared to noise. In this paper, we briefly introduce a new technique that a further developed version of it may be used in the third generation of the RSWAs to extract accurate location of key features more efficiently. High degree of accuracy is obtained for the correct location of the key characteristics, e.g., the delay line, surface pulse, first echo, backwall and potential defects inside the weld nugget.
超声点焊检测关键特征的精确定位
基于超声的无损点焊检测技术在很大程度上依赖于为这种特殊应用而开发的先进信号处理算法。RSWA-F1®[1]和RSWA-F2®[2]是Tessoni®设计和制造的两款便携式超声波设备,用于评估汽车行业的电阻点焊质量。RSWA-F1®和RSWA-F2®都采用多通道矩阵传感器技术来收集和分析焊缝表面和内部结构的数据。第一代RSWA中使用的原始信号处理算法是基于检测焊接金属板之间的内反射幅度。另一方面,由于与噪声相比,内部反射的幅度通常较小,因此第二代纳入了二次回波检测分析。在本文中,我们简要介绍了一种新技术,该技术的进一步开发版本可能用于第三代rswa,以更有效地提取关键特征的准确位置。对延迟线、表面脉冲、第一回波、后壁和焊核内部潜在缺陷等关键特征的准确定位获得了很高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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