VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes

VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes

Surface roughness is a critical indicator for assessing the quality and characteristics of workpieces, the accurate prediction of which can significantly enhance production efficiency and product performance. Data-driven methods are efficient ways for predicting surface roughness in polishing proces...

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Bibliographic Details
Main Authors: Dapeng Yang, Shenggao Ding, Lifang Pan, Yong Xu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Micromachines
Subjects:
surface roughness prediction
polishing
virtual sample generation
feature construction
explainability
Online Access:https://www.mdpi.com/2072-666X/16/6/622
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