Machining Stability Categorization and Prediction Using Process Model Guided Machine Learning

Machining Stability Categorization and Prediction Using Process Model Guided Machine Learning

The time-domain dynamic process model is used to generate data and guides the stability criteria for machine learning, saving the experimental costs for a number of required data for the metal process. Fourier transformation of vibration data simulated using a dynamic process model generates the fea...

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Bibliographic Details
Main Author: Jeong Hoon Ko
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Metals
Subjects:
stability pattern recognition
machine learning
dynamic modeling
chatter
Online Access:https://www.mdpi.com/2075-4701/12/2/298

Internet

https://www.mdpi.com/2075-4701/12/2/298

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