Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network

Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network

The modeling of machining response like the cutting power has great significance for the simulation and optimization of the machining process before real physical cutting. Current cutting power models are usually constructed from some trial cutting experiments under specific cutting conditions, the...

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Bibliographic Details
Main Authors: Jiejun Xie, Pengcheng Hu, Shibo Gao, Jihong Chen, Huicheng Zhou, Jianzhong Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Cutting power prediction
three-axis milling
transfer learning
neural network
Online Access:https://ieeexplore.ieee.org/document/9798807/

Internet

https://ieeexplore.ieee.org/document/9798807/

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