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Study on the method of nonmetallic defects based on ultrasonic tomography and morphology

机译:基于超声层析成像和形态学的非金属缺陷方法研究

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Ultrasonic tomography is a practical method to detect cracks or voids in nonmetallic materials. The typical inversion results were presented by grids based velocity map, and it can not characterized the rapid changes or discontinuities in defects area. When the grid is dense, the solution is non-unique, and the regularization and stochastic method were induced to solve it. However, the regularization constraint will induce subjective judgment thus distort the results, and the using of stochastic method is highly computational cost. Both of them will inhibit the in-situ application. Here we present a new algorithm to depict the defects boundary. The process base on the rough tomography results, which enhance the solution's uniqueness. The model after interpolation will be refined to expected resolution, and we further perform morphological operation to complete defects identification. Fast marching method is induced to calculate the refine model travel time. The output of the proposed algorithm will directly give the optimal solution of defects, and eliminate the human judgment. Two filed data examples will be shown where the tomography results were compared with the algorithm result. The result shows that the proposed algorithm can recur the defects contour properly, without extra measurements and excessively computational cost.
机译:超声层析成像是一种检测非金属材料中裂缝或空隙的实用方法。典型的反演结果由基于网格的速度图表示,无法表征缺陷区域的快速变化或不连续性。当网格密集时,解不是唯一的,并引入正则化和随机方法对其进行求解。然而,正则化约束会引起主观判断,从而扭曲结果,并且随机方法的使用具有很高的计算成本。它们都将抑制原位施用。在这里,我们提出了一种新的算法来描述缺陷边界。该过程基于粗略的层析成像结果,从而增强了解决方案的独特性。插值后的模型将细化为预期的分辨率,我们将进一步执行形态学运算以完成缺陷识别。引入快速行进方法来计算精炼模型的行进时间。所提算法的输出将直接给出缺陷的最佳解决方案,并消除人为的判断。将显示两个领域的数据示例,其中将层析成像结果与算法结果进行比较。结果表明,所提出的算法可以正确地再现缺陷轮廓,而无需进行额外的测量和过多的计算成本。

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