Prediction method for spiral bevel gear tooth surface roughness based on machine learning

ObjectiveTo address the issues of parameter optimization and prediction accuracy of the surface roughness of spiral bevel gears, and to overcome the limitations of traditional methods in effectively handling complex nonlinear relationships and the influence of multiple variables, machine learning mo...

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Hlavní autoři:	LI Jiabin, CHEN Haifeng, LIU Guoliang, ZHOU Changjiang
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Journal of Mechanical Transmission 2026-01-01
Edice:	Jixie chuandong
Témata:	Tooth surface roughness prediction Spiral bevel gear Grinding Machine learning Hyperparameter Model interpretation （编辑：刘星泽）
On-line přístup:	http://www.jxcd.net.cn/thesisDetails?columnId=155738822&Fpath=home&index=0
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