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动车组车轮轮辋相控阵超声探伤成像优化研究 被引量:4

Optimization of Phased Array Ultrasonic Image for EMU Wheel Rim Inspection
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摘要 动车组车轮缺陷主要发生在轮辋部位,有效确定轮辋内部疲劳裂纹尺寸和形态对保障车轮运行安全、延长车轮使用寿命至关重要。目前,车轮超声探伤主要通过基本的扫描超声成像发现缺陷,但因裂纹走向或闭合状态的不确定性无法实现准确定量。针对常规轮辋超声探伤成像能力的不足,将相控阵全矩阵捕获及全聚焦成像方法应用到轮辋超声探伤成像优化研究中,并与传统相控阵线性扫查成像和扇形扫查成像进行对比分析。基于有限元法的成像仿真和实车缺陷轮测试表明,相控阵超声全聚焦成像技术的应用可以减少探伤近场成像盲区,改善轮辋内部缺陷成像质量,有利于更准确地评估缺陷尺寸及其扩展趋势。 Given the occurrence of most of the EMU wheel defects in the rim,effectively determining the size and shape of defects accurately is essential to ensure the safety of the wheel operation and prolong the service life of the wheel.At present,defects are inspected through basic scanning ultrasonic imaging,but accurate quantification cannot be achieved due to the uncertain propagation or closure state of the crack.In this paper,in order to optimize the current ultrasonic imaging ability for wheel rim defects detection,the phased array full matrix capture and total focusing method were applied.Compared with traditional phased array linear scanning imaging and sector scanning imaging by simulation and experiment,the imaging simulation based on the finite element method and the test of the defect wheel of the real vehicle show that the TFM can reduce the blind area of the near-field imaging of defect detection and improve the ultrasonic imaging quality of the internal defect of the rim,providing more accurate assessment of defect size and propagation.
作者 穆鑫 MU Xin(Locomotive&Car Department,China National Railway Group Limited,Beijing 100844,China)
出处 《铁道学报》 EI CAS CSCD 北大核心 2021年第11期47-51,共5页 Journal of the China Railway Society
基金 中国国家铁路集团有限公司科技研究开发计划(2019F001)。
关键词 车轮轮辋探伤 相控阵超声成像 全聚焦成像 wheel rim crack detection phased array ultrasonic imaging Total Focusing Method
作者简介 穆鑫(1976—),男,吉林白城人,高级工程师,博士。E-mail:guanyanchun@sohu.com。
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