Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations]

Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations]

Background The quality of machined parts is considered as a relevant factor to evaluate the production performance of machine tools. For mapping the production performance into a digital twin machine tool, a virtual metrology model for surface roughness prediction, which affects products' mecha...

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Bibliographic Details
Main Authors: Gedong Jiang, Suiyan Shang, Wenwen Tian, Zheng Sun, Jun Xu, Dawei Zhang, Chi Fai Cheung
Format: Article
Language:English
Published: F1000 Research Ltd 2024-01-01
Series:Digital Twin
Subjects:
Digital Twin
Virtual Metrology
End Milling
Surface Roughness prediction
BPNN
eng
Online Access:https://digitaltwin1.org/articles/3-4/v2
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https://digitaltwin1.org/articles/3-4/v2

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