Research on the intelligent fatigue detection of metal components in vehicles

Zhaoran Xue, Qiren Chen, Hongde Du, Esu Xian
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Abstract

With the acceleration of transportation speed, heavy loading of trucks has higher requirements for the quality of wheel axles, and the detection of wheel axles on trucks has become a key focus in corrective maintenance. The automotive industry requires timely detection of vehicle components. Nondestructive testing (NDT) technology provides a method of detecting and analyzing physical quantities on the internal surface of an object without causing damage. It can determine the presence of defects or abnormal conditions. The application of nondestructive testing (NDT) is essential in the automotive industry to guarantee the safety and dependability of vehicles. This article provides an overview of the principles and applications of phased array ultrasound imaging and eddy current testing, focusing on intelligent monitoring solutions for axles. This article proposes an enhanced intelligent monitoring approach that utilizes existing detection methodologies to provide vehicle owners with real-time feedback regarding the fatigue strength of individual automotive parts. This approach aims to prompt the replacement of auto parts when the fatigue trend approaches predetermined warning thresholds.
车辆金属部件智能疲劳检测研究
随着运输速度的加快,重载卡车对轮轴的质量提出了更高的要求,卡车轮轴的检测已成为纠正性维护的重点。汽车行业要求对车辆部件进行及时检测。无损检测(NDT)技术提供了一种在不造成损坏的情况下检测和分析物体内表面物理量的方法。它可以确定是否存在缺陷或异常情况。无损检测(NDT)在汽车行业的应用对于保证汽车的安全性和可靠性至关重要。本文概述了相控阵超声成像和涡流检测的原理和应用,重点介绍了车桥的智能监测解决方案。本文提出了一种增强型智能监测方法,利用现有的检测方法为车主提供有关单个汽车零件疲劳强度的实时反馈。该方法旨在当疲劳趋势接近预定的警告阈值时,提示更换汽车零件。
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