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Ultrasound wave excitation in thermal NDE for defect detection

机译:热NDE中的超声波激发,用于缺陷检测

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摘要

Sonic Infrared Imaging is a novel non-destructive evaluation method that has received attention in the NDE community. It uses ultrasound excitation and infrared imaging to detect defects in different materials, including metals, metal alloys, and composites. When a high-frequency ultrasonic pulse injects into the test object, the sound wave will cause the opposing surfaces of the crack to rub each other resulting in a noticeable temperature change. This thermal signal can be captured by an IR camera and used to locate the defect within the target. The probability of detection is significantly improved when nonlinearity is observed. Nonlinearity in the coupling between the ultrasound transducer and the target need to be studied to enhance the repeatability and reliability of this technology. In this paper, we present our study including the experimental as well as the FEA modelling of a sonic IR system with an emphasis on the vibration characteristics in the crack vicinity.
机译:Sonic红外成像是一种新的非破坏性评估方法,在NDE社区中受到关注。 它使用超声激励和红外成像来检测不同材料的缺陷,包括金属,金属合金和复合材料。 当高频超声波脉冲喷射到测试对象中时,声波将导致裂缝的相对表面彼此摩擦,导致明显的温度变化。 可以通过IR相机捕获该热信号,并用于定位目标内的缺陷。 观察非线性时,检测的概率显着提高。 在超声换能器与目标之间的耦合中的非线性需要研究以提高该技术的可重复性和可靠性。 在本文中,我们介绍了我们的研究,包括实验以及Sonic IR系统的FEA造型,重点是裂缝附近的振动特性。

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