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