基于TFM的奥氏体不锈钢成像算法检测

Imaging Algorithm for Austenitic Stainless Steel Based on Total Focusing Method

以奥氏体不锈钢为研究对象,针对现有超声相控阵技术,用仿真软件建立了大小为50 mm×50 mm的声源平面.在声源平面上建立了超声相控阵声场的可视化仿真模型,仿真了中心频率为5 MHz,阵元数为16的线性阵列换能器,按照TFM算法要求的规则采集回波信号并成像,并与现有超声相控阵成像结果进行系统地比较,发现TFM可以更准确地获得缺陷的位置信息,将TFM应用于超声相控阵检测,可以获得较好的缺陷检测效果.

Ultrasonic phased array inspection technology was a common way to detect defects in non-destructive test. However, under uniform structure of non-destructive testing material, the resolution of the defect detection is poor. An austenitic stainless steel model was deduced, the simulation software was uesed to establish the size of 50 mm×50 mm source plane in view of the existing ultrasonic phased array technology. Visualization simulation model was set up on source plane. At the same time, the linear array transducer frequency 5 MHz and element number 16 were stimulated. According to rules for TFM algorithm, the echo signal was collected and imaged. TFM and ultrasonic detection in the experiment were systematically compared. Results show that TFM can more accurately obtain the position of the defect information; using TFM to ultrasonic phased array detection, defect detection can obtain good results.