北京理工大学机械与车辆学院,北京,100081
纸质出版:2019
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徐春广,马朋志,肖定国,刘然. 航空发动机叶片机械手无损检测技术[J]. 航空制造技术, 2019, 62(14): 42-48.
XU Chunguang, MA Pengzhi, XIAO Dingguo, LIU Ran. Robotic Nondestructive Testing Technology for Aero-Engine Blades. Aeronautical Manufacturing Technology, 2019, 62(14): 42-48.
徐春广,马朋志,肖定国,刘然. 航空发动机叶片机械手无损检测技术[J]. 航空制造技术, 2019, 62(14): 42-48. DOI: 10.16080/j.issn1671–833x.2019.14.042.
XU Chunguang, MA Pengzhi, XIAO Dingguo, LIU Ran. Robotic Nondestructive Testing Technology for Aero-Engine Blades. Aeronautical Manufacturing Technology, 2019, 62(14): 42-48. DOI: 10.16080/j.issn1671–833x.2019.14.042.
航空发动机叶片具有复杂的曲面结构和变厚度的特点,常规的检测方法无法实现自动化检测。为解决叶片的自动化无损检测,由此提出一种基于工业机械手超声无损检测方法。首先根据叶片的结构特点,选择超声纵波垂直入射检测叶身和厚度,超声纵波斜入射检测进排气边和叶根等部位;其次基于叶片模型规划机械手扫查轨迹,同时以叶片试块为被测对象进行缺陷和厚度检测试验。试验结果表明,所提出的机械手超声检测方法可以识别叶片上最小直径为0.15mm的人工平底孔缺陷和宽度0.15mm人工裂纹缺陷,叶片厚度测量精度为±0.03mm,整体叶片检测周期少于20min,满足叶片检测要求。因此机械手超声无损检测技术是实现叶片自动化检测的有效技术手段。
The aero-engine blade with characteristics of complex curved surfaces and variable thickness is unable to be accurately and automatically detected by conventional inspection method. For this issue
an automatic and non-destructive inspection method based on the combination of ultrasonic testing and industrial robot is proposed. Firstly
according to the structural characteristics of the blade
the ultrasonic longitudinal waves are applied to detect the defeats and measure the thickness of blade body through vertical incidence and to inspect the LTE (the leading and the trailing edges) and roots of blade through oblique incidence
respectively. Secondly
the defeats and thickness of a test block of blade are also detected and measured respectively based on the manipulator scanning trajectory planned according to the CAD model of blade. The inspection results show that a flat bottom hole with a minimum diameter of 0.15mm and a crack with a width of 0.15mm can be identified
the accuracy of thickness is ±0.03mm
and the inspection period for whole blade is less than 20min. These results meet the requirements of inspection for blade and indicate that the robotic ultrasonic non-destructive testing technique is effective for automatic inspection of blade.
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