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Multi-objective optimization of hypoid gears based on Ease off
更新时间:2025-05-26
    • Multi-objective optimization of hypoid gears based on Ease off

    • In the field of hypoid gear optimization, experts have established a neural network proxy model to effectively reduce transmission errors, root stress, and meshing loss power.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 1, Pages: 76-85(2024)
    • 作者机构:

      1.吉林大学 汽车仿真与控制国家重点实验室,长春 130022

      2.中国重汽集团 汽车研究总院,济南 250100

    • DOI:10.13229/j.cnki.jdxbgxb.20220251    

      CLC: U463.2
    • Received:15 March 2022

      Published:30 January 2024

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  • WU Xiao,SHI Wen-ku,GUO Nian-cheng,et al.Multi-objective optimization of hypoid gears based on Ease off[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(01):76-85. DOI: 10.13229/j.cnki.jdxbgxb.20220251.

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