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大型齿轮在多因素耦合影响下齿形误差测量的灰色动态预报

李强,  王中宇,  燕虎,  王倩

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文章导航 > 航空动力学报  > 2015 >  30(1): 182-194
李强, 王中宇, 燕虎, 王倩. 大型齿轮在多因素耦合影响下齿形误差测量的灰色动态预报[J]. 航空动力学报, 2015, 30(1): 182-194. doi: 10.13224/j.cnki.jasp.2015.01.025
引用本文: 李强, 王中宇, 燕虎, 王倩. 大型齿轮在多因素耦合影响下齿形误差测量的灰色动态预报[J]. 航空动力学报, 2015, 30(1): 182-194. doi: 10.13224/j.cnki.jasp.2015.01.025
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LI Qiang, WANG Zhong-yu, YAN Hu, WANG Qian. Gray dynamic prediction of large gear tooth profile error measurement under multi-impact factors coupling[J]. Journal of Aerospace Power, 2015, 30(1): 182-194. doi: 10.13224/j.cnki.jasp.2015.01.025
Citation: LI Qiang, WANG Zhong-yu, YAN Hu, WANG Qian. Gray dynamic prediction of large gear tooth profile error measurement under multi-impact factors coupling[J]. Journal of Aerospace Power, 2015, 30(1): 182-194. doi: 10.13224/j.cnki.jasp.2015.01.025
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大型齿轮在多因素耦合影响下齿形误差测量的灰色动态预报

doi: 10.13224/j.cnki.jasp.2015.01.025

  • 北京航空航天大学 仪器科学与光电工程学院 精密光机电一体化技术教育部重点实验室, 北京 100191

基金项目: 

基础项目(J132012C001)

详细信息
    作者简介:

    李强(1982-),男,河南新县人,博士生,主要从事测量数据处理及误差评定工作.

    通讯作者:

    王中宇(1963-),男,河南洛阳人,教授、博士生导师,博士,主要从事误差理论、数据处理、仪器科学与技术方面研究工作..E-mail:mewan@buaa.edu.cn

  • 中图分类号: V275;TB92

Gray dynamic prediction of large gear tooth profile error measurement under multi-impact factors coupling

  • Key Laboratory of Precision Opto-Mechatronics Technology of Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

    摘要
  • 摘要: 提出了一种旁置式的大型齿轮测量装置,分析了影响该装置测量精度的主要误差来源及其特性,给出了一种处理多因素耦合影响的灰色动态预报方法.首先,基于测量装置特性,对影响齿形误差测量精度的误差源进行分析和标定,计算出各误差源的灵敏度系数;然后对测得的有限误差数据进行再抽样及灰色生成,分别计算出在每次测量中各影响因素对测量结果的作用大小,之后按照误差合成方法生成误差源耦合作用结果;最后,通过在测量结果中去除耦合作用进而提高大型齿轮齿形误差测量精度.与测量精度为0.5μm的三坐标测量机进行对比测量,结果表明所提出测量装置能满足3级精度以上的大型齿轮齿形误差检测需求.

     

    Abstract: A large side-mounted model of gear measurement mechanism was proposed, and the main error sources and features of measurement precision were analyzed. A grey dynamic prediction method was presented to deal with multi-impact factors coupling. Firstly, the error sources influenced tooth profile measurement precision were analyzed and demarcated according to the characteristics of measurement mechanism, and then the sensitivity coefficients of various error sources were calculated. Secondly, the limited error source data were separately resampled, and a grey generation operation was given; the measurement results affected by each error source were calculated in the resampling process; then the error coupling results could be obtained in the error synthesis process. Finally, the measurement precision of large gear tooth profile could be improved greatly by removing the coupling effect existing in measurement result. Compared with the measurement results obtained by the three-coordinate 0.5μm precision measurement machine, the experiment results show that the measurement system presented can meet the measurement requirement of tooth profile for large gear of three-level precision above.

     

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出版历程
  • 收稿日期:  2013-06-06
  • 刊出日期:  2015-01-28

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