A Gaussian process regression‐based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin‐walled structures
Abstract Since the dynamics of thin‐walled structures instantaneously varies during the milling process, accurate and efficient prediction of the in‐process workpiece (IPW) dynamics is critical for the prediction of chatter stability of milling of thin‐walled structures. This article presents a surr...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-03-01
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Series: | International Journal of Mechanical System Dynamics |
Subjects: | |
Online Access: | https://doi.org/10.1002/msd2.12034 |