Ning Lei, Ding Shuiting, Tao Zhi, et al. Heat transfer in rotating cavity with axial throughflow of cooling air[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(7): 636-639. (in Chinese)
Citation: ZHAO Hui-jie, ZHANG Guang-jun. Factors Affecting the Precision of Heterodyne Interferometer[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(2): 221-224. (in Chinese)

Factors Affecting the Precision of Heterodyne Interferometer

  • Received Date: 06 Sep 2000
  • Publish Date: 28 Feb 2002
  • Non-linear errors resulted from mis-installation of common-path heterodyne interferometer affect the precision of its measurement system. Four factors which can lead to such non-linear errors were identified,they are the frequency mixing, the phase jump of different metals to be measured, the tilt of the measured surface and NA of the aperture. Based on heterodyne and vector analysis theories, origins and modes of the frequency mixing error and phase jump error were analyzed. On the above basis, procedures to improve the accuracy of the measurement system were suggested. It was demonstrated that the precision of the laser heterodyne measurement system can be improved to nanometer orders.

     

  • [1]obroff N. Residual errors in laser interferometry from air turbulance and nonlinearity[J]. Appl Opt,1987,26(13):2676~2682. [2]Shapiro J H. Heterodyne mixing efficiency for detector arrays[J]. Appl Opt,1987,26(17):3600~3606. [3]Sommargren G E. A new laser measurement system for precision metrology . Precision Engineering, 1987,11(3):197~181. [4]赵慧洁. 共光路干涉仪频率混叠误差分析[J],计量学报,1999,20(3):166~171. [5]徐家骅. 计量工程光学[M]. 北京:机械工业出版社,1992.
  • Cited by

    Periodical cited type(6)

    1. 姜峰,李华聪,符江锋,洪林雄. 基于RBF和主动学习的非概率可靠度求解方法. 航空学报. 2023(02): 213-227 .
    2. 智鹏鹏,汪忠来,李永华,田宗睿. 基于RMQGS-APS-Kriging的主动学习结构可靠性分析方法. 机械工程学报. 2022(16): 420-429 .
    3. 陈哲,杨旭锋,程鑫. 基于改进Kriging模型的主动学习可靠性分析方法. 机械强度. 2021(01): 129-136 .
    4. 李娜,侯本伟,杜修力,钟紫蓝,韩俊艳. 基于主动学习Kriging模型的地下管线抗震可靠度分析. 哈尔滨工业大学学报. 2021(10): 112-121 .
    5. 洪林雄,李华聪,彭凯,肖红亮. 基于改进学习策略的Kriging模型结构可靠度算法. 西北工业大学学报. 2020(02): 412-419 .
    6. 杜会晶. 基于KRIGING—遗传算法模型重力坝优化设计研究. 陕西水利. 2019(04): 156-157+160 .

    Other cited types(20)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(2877) PDF downloads(232) Cited by(26)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return