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Research on Optimized Algorithm of Phased Array Ultrasonic Detection for Wheel Rim Defects

机译:轮辋缺陷相控阵超声检测优化算法研究

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摘要

The wheel rim is an important part of the locomotive operation which carries the weight of entire train. The conventional phased array inspection method for wheel rim is poor efficiency and has poor resolution for some special angle defects. Therefore, in this paper, a frequency domain synthetic aperture algorithm based on virtual source technology is proposed to solve problems mentioned above. First, the focus of phased array is focused as arc inside the wheel rim forming many virtual sources. Then, high-resolution lines are synthesized used the delay rule with the A-scan data. Finally, the B scan is drawn based on the phase shift migration method in cylindrical coordinates. Through simulation and experiment, the results could show that the optimization algorithm proposed in this paper makes full use of the beam deflection and focusing of the phased array which improves the quality of the image, improves the detection ability of the far field, and increases the detection resolution of special angles. The algorithm could efficiently reduce the time of the imaging taking the speed advantage of the frequency domain imaging.
机译:轮辋是机车运行的重要组成部分,承载着整个火车的重量。常规的轮辋相控阵检测方法效率低,对某些特殊角度缺陷的分辨力差。因此,本文提出了一种基于虚拟源技术的频域合成孔径算法来解决上述问题。首先,相控阵的焦点集中在车轮轮辋内部的弧上,形成许多虚拟源。然后,使用延迟规则将高分辨率线与A扫描数据进行合成。最后,基于相移迁移方法在圆柱坐标系中绘制B扫描。通过仿真和实验,结果表明本文提出的优化算法充分利用了相控阵的光束偏转和聚焦特性,提高了图像质量,提高了远场检测能力,提高了成像效率。特殊角度的检测分辨率。利用频域成像的速度优势,该算法可以有效地减少成像时间。

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