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Detection and Evaluation of Internal Defect in Materials by Infrared Thermography and Numerical Simulation

机译:红外热成像和数值模拟材料中材料内部缺陷的检测与评估

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Infrared thermography is a two-dimensional, non-contact inspection technique for surface temperature mapping. It has been widely used for quality assurance of manufacturing processes and for non-destructive evaluation of engineering products. In this study, two infrared approaches, active and passive thermography, were adopted to acquire the temperature distribution from which internal defect in metals, composite structures and electronic circuit boards can be identified. Abnormal temperature distributions due to invisible artificial defects in the specimens were observed in thermal images when the specimens were transiently heated up by external or internal heat sources. To evaluate the accuracy of the inspection results, radiography was also used so that comparison could be made. The system was applied to metal and composite samples with defects of flat-bottom holes in varying diameters and at different depths. Furthermore, Finite Element Modelling (FEM) for steady-state heat conduction was performed to study the defect-induced thermal and mechanical behaviours of the structures. All these have provided insights into the defect detection capability of thermographic imaging techniques.
机译:红外热成像是表面温度映射的二维,非接触式检查技术。它已广泛用于制造工艺的质量保证和对工程产品的非破坏性评估。在该研究中,采用了两种红外方法,主动和无源热成像来获取可以识别金属,复合结构和电子电路板中的内部缺陷的温度分布。当样品通过外部或内部热源瞬时加热时,在热图像中观察到由于样本中的隐形人为缺陷导致的异常温度分布。为了评估检查结果的准确性,还使用射线照相,以便可以进行比较。将该系统应用于金属和复合样品,其具有不同直径和不同深度的平底孔的缺陷。此外,进行了用于稳态导热的有限元建模(FEM)以研究结构的缺陷诱导的热和机械行为。所有这些都提供了洞察热成像技术的缺陷检测能力。

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