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奥氏体焊缝检测用部分浸没聚焦超声换能器的设计与应用。

Design and Application of Partial Immersion Focused Ultrasonic Transducers for Austenitic Weld Inspection.

机构信息

School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China.

Department of Mechanical Engineering, Wonkwang University, Iksan 54538, Korea.

出版信息

Sensors (Basel). 2022 Mar 30;22(7):2671. doi: 10.3390/s22072671.

Abstract

Austenitic stainless steel is a widely used material in the industry, and the welding technique enables stainless steel components to have different shapes for different applications. Any flaws in the weld will degrade the performance of the austenitic component; thus, it is essential to ultrasonically and nondestructively test flaws in welds to ensure service safety. Recently, weld inspection has been performed using contact transducers, but missed detections or false positives for flaws in welds usually occur due to a poor coupling condition in the detection, a low signal-to-noise ratio, and instantaneous noises. In this study, a partial immersion focused (PIF) ultrasonic transducer is designed and used for austenitic weld inspection to address the above issues. The detailed design and manufacture of the PIF transducer are described, and the advantages of the transducer are shown by comparing the results detected using different kinds of transducers. In addition, in order to suppress false positives, a B-image method optimized using a time-dependent threshold is proposed. Experiments are performed to detect flaws in a welded specimen. All the artificial flaws are evaluated using the developed transducer and the proposed method, but minor flaws are mis-detected when planar transducers are used, verifying the method proposed in this paper.

摘要

奥氏体不锈钢是工业中广泛使用的材料,焊接技术使不锈钢部件能够具有不同的形状,以满足不同的应用需求。焊缝中的任何缺陷都会降低奥氏体部件的性能;因此,对焊缝中的缺陷进行超声无损检测以确保使用安全是至关重要的。最近,已经使用接触式换能器进行焊缝检测,但由于检测中的耦合条件差、信噪比低和瞬时噪声等原因,通常会出现缺陷的漏检或误检。在这项研究中,设计并使用了部分浸没聚焦(PIF)超声换能器来进行奥氏体焊缝检测,以解决上述问题。详细描述了 PIF 换能器的设计和制造,并通过比较不同类型换能器检测到的结果展示了换能器的优势。此外,为了抑制误报,提出了一种基于时变阈值的 B 图像方法进行优化。实验对焊接试样中的缺陷进行了检测。使用开发的换能器和提出的方法对所有人工缺陷进行了评估,但当使用平面换能器时,一些小缺陷会被误检,验证了本文提出的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ea0/9002934/e37bfdfb7abc/sensors-22-02671-g001.jpg

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