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Further Development of the Simulation of Sonic IR Imaging of Cracks in Metals with Finite-Element Models

机译:进一步发展有限元模型的金属裂缝Sonic IR成像模拟

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Sonic IR imaging, which combines infrared imaging and ultrasound excitation, as a relative new member of the NDE family, has been drawing wider and wider attention due to its fast, wide area inspection capability. In our previous presentations and publications, we have described the application of acoustic chaos to Sonic IR imaging and have provided experimental illustrations as well. In addition, we have described realistic finite-element models that simulate the heating of cracks in metals by both chaotic and non-chaotic sound. These models allow for both friction and plastic deformation as sources of heating. In this paper, we present our further study on the physical mechanisms that are responsible for the advantages of chaotic sound for Sonic IR crack detection. Using finite-element analysis, here we will present theoretical explanations, both for the origin of the chaos, and for the mechanisms responsible for the chaotic enhancement of crack detection.
机译:Sonic IR成像将红外成像和超声波激励结合为NDE家族的相对新成员,这一直在借鉴,由于其快速,广泛的面积检查能力而宽宽。在我们以前的演讲和出版物中,我们已经描述了声学混沌的应用于Sonic IR成像,并提供了实验说明。此外,我们已经描述了逼真的有限元模型,通过混沌和非混沌声音模拟金属裂缝的加热。这些型号允许摩擦和塑性变形作为加热源。在本文中,我们介绍了对声音混乱声音的优势的物理机制进一步研究了Sonic IR裂纹检测。使用有限元分析,我们将在这里呈现对混乱起源的理论解释,以及负责混沌增强裂纹检测的机制。

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