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航天器用内螺纹的气体湍流激光多普勒式检测

Detection of internal thread for spacecraft with gas turbulence laser Doppler

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【作者】 王涛昝占华张翠亭姚建铨马俊杰蔡军李玉翔

【Author】 Wang Tao;Zan Zhanhua;Zhang Cuiting;Yao Jianquan;Ma Junjie;Cai Jun;Li Yuxiang;School of Mechanical Engineering, Hebei University of Technology;School of Precision Instrument & Opto-Electronics Engineering, Tianjin University;Nanjing Jinriam Power Technology CO.,LTD;School of Mechanical Engineering, Tianjin Polytechnic University;

【机构】 河北工业大学机械工程学院天津大学精密仪器与光电子工程学院南京津淞涵电力科技有限公司天津工业大学机电学院

【摘要】 为了解决航天器操纵旋转套筒内螺纹的自动检测问题,特别是在内螺纹件表面有油污与锈蚀时,单纯地利用光学图像检测的方法很难更好地解决问题,利用平流气体吹向内螺纹,从而形成了映射着内螺纹形貌的湍流输出,然后利用多普勒激光测量内螺纹的湍流特性。研究了内螺纹气体湍流的拉伸与压缩过程的数据特性,利用箱线图的方法处理内螺纹湍流数据,建立了内螺纹湍流箱线图的标准样板库,将检测数据与标准样板对比检测,结果表明:当异常值阈值设为7%时,检测准确率为99.3%。气体湍流激光多普勒式检测内螺纹方法可行,克服了表面油污等难点,完全满足检测的要求。

【Abstract】 To solve the problem of the automatic inspection of the internal threads of a rotating sleeve operated by an aerospace vehicle, especially when the surface of the internal thread has oil pollution and rust, simply using optical image detection method was difficult to solve. The flat gas was blew inward internal thread to form the turbulence output mapping the appearance of the internal thread, and then the turbulence characteristics of internal thread was detected by Doppler laser. The data characteristics were investigated in the stretching process and compression process of internal thread gas turbulence. The gas turbulence data was dealt with box line chart method. A standard template database of the box line chart of internal thread turbulent was established. The detection data was compared with the standard template.The result shows that when the threshold value of outliers is set to be 7%, the detection accuracy is 99.3%. Gas turbulent laser Doppler method for detecting internal threads is feasible, and overcomes the surface oil pollution and other difficulties, meets test requirements totally.

【基金】 国家自然科学基金面上项目(51775166);天津市应用基础与前沿技术研究计划一般项目(14JCYBJC19600)
  • 【文献出处】 红外与激光工程 ,Infrared and Laser Engineering , 编辑部邮箱 ,2018年04期
  • 【分类号】V46
  • 【被引频次】2
  • 【下载频次】92
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