Suppr超能文献

一种用于二维小缺陷多视图超声阵列检测的模型。

A model for multi-view ultrasonic array inspection of small two-dimensional defects.

作者信息

Budyn Nicolas, Bevan Rhodri L T, Zhang Jie, Croxford Anthony J, Wilcox Paul D

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2019 Apr 11. doi: 10.1109/TUFFC.2019.2909988.

Abstract

The multi-view total focusing method (TFM) is an imaging algorithm for ultrasonic full matrix array data that exploits internal reflections and mode conversions in the inspected object to create multiple images, the views. Modelling the defect response in multi-view TFM is an essential first step in developing new detection and characterisation methods which exploit the information present in these views. This paper describes a ray-based forward model for small two-dimensional defects and compares its results against finite-element simulations and experimental data for the inspection of a side-drilled hole, a notch and a crack. A simpler version of this model, based on a single-frequency approximation, is derived and compared. A good agreement with the multi-frequency model and a speed-up of several orders of magnitude are achieved.

摘要

多视图全聚焦方法(TFM)是一种用于超声全矩阵阵列数据的成像算法,它利用被检测对象中的内部反射和模式转换来创建多个图像,即视图。对多视图TFM中的缺陷响应进行建模是开发利用这些视图中存在的信息的新检测和表征方法的重要第一步。本文描述了一种用于二维小缺陷的基于射线的正向模型,并将其结果与有限元模拟以及用于检测侧钻孔、缺口和裂纹的实验数据进行了比较。推导并比较了基于单频近似的该模型的简化版本。该简化版本与多频模型取得了良好的一致性,并且速度提高了几个数量级。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验