Design and Experimental Study of Automated Eddy Current Testing System for Turbine Blade Crack

SONG Kai; WANG Chong; ZHANG Lipan; WANG Chan; LI Yiming; ZHAO Zhizhong

doi:10.16080/j.issn1671–833x.2018.19.045

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Design and Experimental Study of Automated Eddy Current Testing System for Turbine Blade Crack

更新时间：2025-10-30

- Design and Experimental Study of Automated Eddy Current Testing System for Turbine Blade Crack
- Aeronautical Manufacturing Technology Vol. 61, Issue 19, Pages: 45-49(2018)
- 作者机构：
  
  1. 南昌航空大学无损检测技术教育部重点实验室,南昌,330063
  2. 西安航空动力股份有限公司,西安,710021
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671–833x.2018.19.045
  CLC：
- Published：2018
- 稿件说明：
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宋凯1，王冲1，张丽攀1，王婵2，李轶名1，赵志忠1. 航空发动机涡轮叶片裂纹的自动仿形涡流检测系统设计及试验研究[J]. 航空制造技术, 2018, 61(19): 45-49.

SONG Kai1, WANG Chong1, ZHANG Lipan1, WANG Chan2, LI Yiming1, ZHAO Zhizhong1. Design and Experimental Study of Automated Eddy Current Testing System for Turbine Blade Crack. Aeronautical Manufacturing Technology, 2018, 61(19): 45-49.
宋凯1，王冲1，张丽攀1，王婵2，李轶名1，赵志忠1. 航空发动机涡轮叶片裂纹的自动仿形涡流检测系统设计及试验研究[J]. 航空制造技术, 2018, 61(19): 45-49. DOI： 10.16080/j.issn1671–833x.2018.19.045.

SONG Kai1, WANG Chong1, ZHANG Lipan1, WANG Chan2, LI Yiming1, ZHAO Zhizhong1. Design and Experimental Study of Automated Eddy Current Testing System for Turbine Blade Crack. Aeronautical Manufacturing Technology, 2018, 61(19): 45-49. DOI： 10.16080/j.issn1671–833x.2018.19.045.

摘要

针对航空发动机涡轮叶片的快速检测难题，研制了机械自补偿差动式涡流探头，开发了专用五轴联动自动仿形扫查系统，开展了涡轮叶片自动涡流检测试验研究。试验结果表明，使用研制的探头配合自动扫查系统可以消除提离信号，减小抖动干扰，显著提高裂纹缺陷的检测信噪比，可望应用于涡轮叶片类复杂曲面构件的缺陷检测。

Abstract

Based on the fast detection problem of aero-engine turbine Blades

a new differential eddy current sensor is developed with mechanical self-compensation

the research of automated eddy current testing experiment on turbine blade of aero-engine is developed with the five axis linkage contour automatic detection system. The results show that using the eddy current sensor with the automatic detection system is able to eliminate the lift-off signal

reduce jitter interference

and effectively improve the signal-to-noise ratio compared with manual detection. This method is expected to be applied to the metal with complex curved surface like turbine blade.

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