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

Wei Huang, Xiaorong Gao, Jian-qiang Guo
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引用次数: 1

Abstract

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.
相控阵超声检测轮辋缺陷的优化算法研究
轮辋是机车运行的重要部件,承载着整个列车的重量。传统的轮辋相控阵检测方法效率较低,对某些特殊角度缺陷的分辨力较差。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,相控阵的焦点以圆弧的形式聚焦在轮辋内,形成许多虚拟光源。然后,利用a扫描数据的延迟规则合成高分辨率线。最后,基于相移法在柱坐标下绘制B扫描图。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,提高了图像质量,提高了远场检测能力,提高了特殊角度的检测分辨率。该算法利用频域成像的速度优势,有效地缩短了成像时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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