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Numerical Simulation and Experiment for Defect Detection of Composites by Thermal Wave NDT

机译:热波NDT缺陷复合材料缺陷检测的数值模拟与实验

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Since the use of advanced composite materials continues to increase in the area of aviation and navigation, the need for a quantitative, rapid, in-service inspection technology has become a critical concern throughout the industry and practice. Thermal Wave Nondestructive Testing (TW-NDT) technology, which has proved to be an effective method, was used to detect defects in composite materials of missile motor in this paper. Based on numerical analysis, the optimum parameters of heat flux and heating time for the best defect detectability was worked out theoretically. And also the factors influencing the testing sensitivity were further studied, including the defect size, depth, thickness and thermal diffusion coefficient, etc. The results show that TW NDT can identify the defect depth, size and position rapidly and effectively, and the bigger, nearer-surface and thicker of the defect, the easier to be inspected by this method. The most important factors which affect the sensitivity of TW inspection are the defect depth and heating parameters. Finally, experiment for a glass-fiber composites sample with three different diameters at different depths was investigated to verify the conclusions of numerical analysis. And image enhancement and segmentation methods were used to reduce noise and improve image contrast, which help to achieve defect recognition.
机译:由于使用先进的复合材料的航空和导航领域的使用,因此需要定量,快速,在职检测技术在整个行业和实践中都成为一个重要问题。被证明是一种有效方法的热波非破坏性测试(TW-NDT)技术用于检测本文导弹电机复合材料中的缺陷。基于数值分析,理论上,基于最佳缺陷可检测性的热通量和加热时间的最佳参数。还进一步研究了影响测试灵敏度的因素,包括缺陷尺寸,深度,厚度和热扩散系数等。结果表明,TW NDT可以快速且有效地识别缺陷深度,尺寸和位置,更大,近表面和较厚的缺陷,通过这种方法更易于检查。影响TW检查敏感性的最重要因素是缺陷深度和加热参数。最后,研究了在不同深度的三个不同直径下进行玻璃纤维复合材料样品的实验,以验证数值分析的结论。和图像增强和分割方法用于降低噪声并改善图像对比度,这有助于实现缺陷识别。

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