Improving the accuracy of TIF in bonnet polishing based on Gaussian process regression

Based on the Gaussian process regression (GPR), this paper aims to provide a method to improve the accuracy of the classic tool influence function (TIF) model in bonnet polishing (BP). Firstly, we build the velocity and pressure distribution models in TIF according to kinematics relations and Hertz...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2020-09, Vol.110 (7-8), p.1941-1953
Hauptverfasser:	Feng, Jingbo, Zhang, Yifan, Lin, Shuo, Yin, Yuehong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy CAE) and Design Coefficient of friction Computer-Aided Engineering (CAD Contact pressure Covariance Engineering Experiments Gaussian process Industrial and Production Engineering Influence functions Kernel functions Kinematics Mathematical models Mechanical Engineering Media Management Model accuracy Original Article Parameter modification Polishing Pressure distribution Pressure effects Process parameters Stress concentration
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