Inverse solution of process parameters in gear grinding using hierarchical bayesian physics informed neural network (HBPINN)

Abstract Accurate inverse solution of process parameters by surface roughness is crucial for precision gear grinding processes. When inversely solving process parameters, model parameters are typically obtained by fitting experimental data. However, model parameters exhibit complex correlations and...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Qi Zhang, Qiang Zhang, Yongsheng Zhao, Yanming Liu, Zhi Wang, Yali Ma
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-10-01
Subjects:	Hierarchical bayesian framework Process parameters Surface roughness Correlation Parameter uncertainty
Online Access:	https://doi.org/10.1038/s41598-025-18005-x