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Thermal key point select and error prediction under typical speed of machine tool spindle
更新时间:2025-05-26
    • Thermal key point select and error prediction under typical speed of machine tool spindle

    • The latest research progress shows that experts have proposed a thermal error prediction model based on improved chicken swarm optimization algorithm and support vector machine, which effectively reduces the collinearity of temperature variables and achieves high-precision prediction of spindle thermal errors, providing a new solution for machine tool spindle thermal error control.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 1, Pages: 72-81(2023)
    • 作者机构:

      1.内蒙古工业大学 机械工程学院,呼和浩特 010051

      2.内蒙古自治区特殊服役智能机器人重点实验室,呼和浩特010051

      3.浙江大学 机械工程学院,杭州 310063

    • DOI:10.13229/j.cnki.jdxbgxb20210610    

      CLC: TH161
    • Received:20 June 2021

      Published:01 January 2023

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  • GUO Shi-jie,ZHANG Xue-wei,ZHANG Nan,et al.Thermal key point select and error prediction under typical speed of machine tool spindle[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(01):72-81. DOI: 10.13229/j.cnki.jdxbgxb20210610.

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