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Thermal expansion error modeling of feed axis based on principal component regression
更新时间：2025-05-26

    • Thermal expansion error modeling of feed axis based on principal component regression

    • “The prediction accuracy of thermal errors in the feed shaft of the gear grinding machine has been improved by using principal component regression modeling method, without the need for additional screening of temperature sensitive points, resulting in significantly improved prediction accuracy and stability.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 8, Pages: 2149-2155(2024)
    • 作者机构：

      1.重庆大学 机械与运载工程学院，重庆 400044 2.重庆机床（集团）有限责任公司，重庆 401300

      2.重庆理工大学 机械工程学院，重庆 400054

      3.College of Mechanical Engineering， Chongqing University of Techology， Chongqing 400054， China

    • DOI：10.13229/j.cnki.jdxbgxb.20221359    

      CLC： TH161

    • Received：24 October 2022，

      Published：01 August 2024

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  • JIANG Lin,LI Guo-long,WANG Shi-long,et al.Thermal expansion error modeling of feed axis based on principal component regression[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(08):2149-2155. DOI： 10.13229/j.cnki.jdxbgxb.20221359.

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