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Novel distance-based slicing algorithm for ultrasonic propagation imaging
Structural Control and Health Monitoring ( IF 5.4 ) Pub Date : 2021-09-12 , DOI: 10.1002/stc.2846
Abi Rahman Syamil 1 , Yunshil Choi 2 , Jung‐Ryul Lee 2
Affiliation  

In this paper, a novel distance-based slicing (DBS) algorithm is proposed for the visualization of inclusion defects within a thick solid structure. The algorithm is based on the propagation distance traveled by the ultrasonic wave signals and was integrated with the generation laser scanning ultrasonic propagation imaging (UPI) system in which the fixed sensor was positioned to detect the induced through-the-thickness ultrasonic signals. The advantages provided by the UPI system allow for an in-situ non-destructive evaluation for real world applications. An investigation of an isotropic solid specimen of large thickness with multiple internal inclusion defects of different shapes and depth location was performed using the proposed algorithm and system. The results in the form of ultrasonic propagation freeze frames show that the algorithm is much more effective in detecting each individual defect and is particularly useful for a thick-walled specimen. Additionally, a relationship was determined between the visualized result of each defect and the source position during data acquisition which enabled us to estimate the depth location of the defect within the specimen.

中文翻译:

一种新的基于距离的超声传播成像切片算法

在本文中,提出了一种新的基于距离的切片 (DBS) 算法,用于可视化厚实心结构内的夹杂物缺陷。该算法基于超声波信号的传播距离,并与固定传感器定位的生成激光扫描超声传播成像(UPI)系统集成,以检测感应的穿透厚度的超声信号。UPI 系统提供的优势允许对现实世界的应用进行原位无损评估。使用所提出的算法和系统对具有多个不同形状和深度位置的内部夹杂物缺陷的大厚度各向同性固体试样进行了研究。超声波传播冻结帧形式的结果表明,该算法在检测每个单独的缺陷方面更加有效,尤其适用于厚壁试样。此外,在数据采集期间确定了每个缺陷的可视化结果与源位置之间的关系,这使我们能够估计样本内缺陷的深度位置。
更新日期:2021-11-05
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