The ultrasonic testing method is a well-known non-destructive testing technique which has been applied to the tube inspection for guarantying the quality of the production. However, there exist several challenges to detect the defects of tubes with small diameter and thin-wall due to the complex of multiple reflections and waveform conversion. Parameters selection of the transducer takes key role to enhance the detection sensitivity such as frequency, size, refraction angle, distance offset, and focal point distance. This selection is generally dependent on human experience as it is highly time-consuming and subjective. In this paper, a novel parameter selection method based on physical perspective linked forward-inverse intelligence strategy has been proposed for ultrasonic immersed testing method. The optimized parameters can be calculated automatically while both testing and calibration repeated experiments can be avoided. The proposed method is computationally affordable and yields a high accuracy objective performance. Both simulation and experiments have been conducted to verify the efficacy of the proposed method.

中文翻译：

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小直径薄壁管超声传感诊断的物理视角正逆学习

超声波检测方法是众所周知的无损检测技术，已应用于管材检测，以保证生产质量。然而，由于多次反射和波形转换的复杂性，检测小直径薄壁管的缺陷存在一些挑战。换能器的参数选择对提高频率、尺寸、折射角、距离偏移和焦点距离等检测灵敏度起着关键作用。这种选择通常取决于人类经验，因为它非常耗时且主观。本文提出了一种基于物理视角关联正逆智能策略的超声波浸入式检测方法的参数选择新方法。优化参数可以自动计算，同时可以避免测试和校准重复实验。所提出的方法在计算上是负担得起的，并且产生了高精度的客观性能。已经进行了仿真和实验以验证所提出方法的有效性。