Adaptive Data Acquisition for Fast Ultrasonic Imaging Using Laser Induced Phased Arrays

Peter Lukacs, T. Stratoudaki, Geo Davis, A. Gachagan
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引用次数: 1

Abstract

This study introduces a novel data acquisition method, the Selective Matrix Capture (SMC), that can adapt the array geometry during data acquisition, to the demands of the inspected structure, such as the defects encountered. The adaptive data acquisition method is enabled by the use of Laser Induced Phased Arrays (LIPAs). We have previously demonstrated high-resolution ultrasonic images of the interior of components using Full Matrix Capture (FMC) and the Total Focusing Method (TFM). However, capturing the FMC requires long synthesis time due to signal averaging and mechanical laser scanning, compromising the application potential of LIPAs. Given that most components are defect free, significant time savings can be obtained by only acquiring high-fidelity data when a defect is indicated. The paper presents the Selective Matrix Capture that acquires data more efficiently without a priori knowledge of the location of the defects, while still achieving the superior imaging quality provided by an FMC data set.
激光诱导相控阵快速超声成像的自适应数据采集
本文介绍了一种新的数据采集方法,即选择性矩阵捕获(SMC),它可以在数据采集过程中调整阵列的几何形状,以适应被检测结构的要求,例如遇到的缺陷。采用激光诱导相控阵(LIPAs)实现了自适应数据采集。我们之前已经使用全矩阵捕获(FMC)和全聚焦方法(TFM)展示了组件内部的高分辨率超声图像。然而,由于信号平均和机械激光扫描,捕获FMC需要较长的合成时间,从而影响了LIPAs的应用潜力。假设大多数组件是无缺陷的,那么当缺陷被指出时,通过获取高保真度的数据可以节省大量的时间。本文提出了一种选择性矩阵捕获方法,该方法可以更有效地获取数据,而无需先验地了解缺陷的位置,同时仍然可以获得FMC数据集提供的优越成像质量。
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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