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航空发动机叶片三坐标测量优化采样方法
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  • 英文篇名:Optimal sampling strategy for aero-engine blade inspection with coordinate measuring machine
  • 作者:张现 ; 卜昆 ; 董一巍
  • 英文作者:ZHANG XiANDong;BU Kun;DONG Yiwei;Key Lab of Contemporary Design and Integrated Manufacturing Technology,Ministry of Education,School of Mechanical Engineering,Northwestern Polytechnical University;School of Aerospace Engineering,Xiamen University;
  • 关键词:三坐标测量 ; 叶片 ; 优化采样 ; 曲率 ; 弧长
  • 英文关键词:coordinates measuring machine;;blade;;optimal sampling;;curvature;;arc-length
  • 中文刊名:HKDI
  • 英文刊名:Journal of Aerospace Power
  • 机构:西北工业大学机电学院现代设计与集成制造技术教育部重点实验室;厦门大学航空航天学院;
  • 出版日期:2019-01-14 17:14
  • 出版单位:航空动力学报
  • 年:2019
  • 期:v.34
  • 基金:国家自然科学基金(51371152)
  • 语种:中文;
  • 页:HKDI201901018
  • 页数:9
  • CN:01
  • ISSN:11-2297/V
  • 分类号:175-183
摘要
针对航空发动机叶片三坐标检测测量效率低的问题,提出了一种适用于翼型曲面三坐标测量优化采样算法。基于杠杆平衡系统,对现有采样算法做了统一的数学描述;并通过引入挠率信息,使得曲率-弧长采样算法适用于空间曲线,并在此基础上研究了基于前、后缘线选取叶片被测截面的算法;研究了弧长分量与曲率分量的比例系数的优化方法。最后,对多个叶片模型进行采样实验,计算重构误差并与等参数采样、等弧长采样、曲率采样、等弦公差采样、加权曲率采样算法对比,结果表明优化采样算法精度提高11.2%以上,与等步长采样方法对比,测点数减少92.3%。
        In view of the inefficiency of inspecting aero-engine blades with coordinates measuring machine,unified mathematical descriptions of common sampling algorithms were proposed based on lever system,meanwhile,an optimal sampling algorithm for airfoil surfaces inspection with coordinate measuring machine was presented.By introducing torsion information,the curvature-arc sampling algorithm was appropriate to space curves,and based on this,the algorithm for sampling cross sections on the blade surface through the leading and the trailing edge curves was proposed.And the optimization method of weights in curvature-arc sampling was researched also.Finally,several experiments for different blades were implemented,and the comparisons of optimal sampling points'reconstruction errors with those of equal-parameter sampling,equal-arc sampling,curvature-based sampling,equal-deviation sampling and weighted curvature-based sampling were made.The results indicate that the accuracy of optimal sampling is 11.2%higher at least.And the number of optimal sampling points is 92.3%less than equal-step sampling which is used widely in practice.
引文
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