Wang Chenwei, Han Rui, Zhang Yihui, Wang Yuzhong, Zi Yanyang, Zhao Jiyuan
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
School of Automation, Beijing Information Science and Technology University, Beijing 100192, China.
Sensors (Basel). 2024 Nov 25;24(23):7519. doi: 10.3390/s24237519.
Surface angled cracks on critical components in high-speed machinery can lead to fractures under stress and pressure, posing a significant threat to the operational safety of equipment. To detect surface angled cracks on critical components, this paper proposes a "Quantitative Detection Method for Surface Angled Cracks Based on Full-field Scanning Data". By analyzing different ultrasonic signals in the full-field scanning data from laser ultrasonics, the width, angle, and length of surface angled cracks can be determined. This study investigates the propagation behavior of ultrasonic waves and their interaction with surface angled cracks through theoretical calculations. The crack width is solved by analyzing the distribution of Rayleigh waves in the full-field scanning data. This paper also discusses the differences in ultrasonic wave propagation between near-field and far-field detection and identifies the critical point between these regions. Different computational methods are employed to calculate the inclination angle and the crack endpoint at various scan positions. Four sets of experiments were conducted to validate the proposed method, with results showing that the errors in determining the width, angle, and length of the surface angled cracks were all within 5%. This confirms the feasibility of the method for detecting surface angled cracks. The quantitative detection of surface angled cracks on critical components using this method allows for a comprehensive assessment of the component's condition, aiding in the prediction of service life and the mitigation of operational risks. This method shows promising application potential in areas such as aircraft engine blade inspection and gear inspection.
高速机械关键部件上的表面斜裂纹在应力和压力作用下可能导致断裂，对设备的运行安全构成重大威胁。为检测关键部件上的表面斜裂纹，本文提出一种“基于全场扫描数据的表面斜裂纹定量检测方法”。通过分析激光超声全场扫描数据中的不同超声信号，可确定表面斜裂纹的宽度、角度和长度。本研究通过理论计算研究超声波的传播行为及其与表面斜裂纹的相互作用。通过分析全场扫描数据中瑞利波的分布来求解裂纹宽度。本文还讨论了近场检测和远场检测中超声波传播的差异，并确定了这些区域之间的临界点。采用不同的计算方法来计算不同扫描位置处的倾斜角度和裂纹端点。进行了四组实验来验证所提出的方法，结果表明，表面斜裂纹宽度、角度和长度的测定误差均在5%以内。这证实了该方法检测表面斜裂纹的可行性。使用该方法对关键部件表面斜裂纹进行定量检测，可以全面评估部件的状态，有助于预测使用寿命并降低运行风险。该方法在飞机发动机叶片检测和齿轮检测等领域具有广阔的应用潜力。
