Prediction of surface roughness using deep learning and data augmentation

Prediction of surface roughness using deep learning and data augmentation

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Purpose – Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical modeling takes a lot of effort. To predict the surface roughness of milling processing, this paper aims to constru...

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Bibliographic Details
Main Authors: Miaoxian Guo, Shouheng Wei, Chentong Han, Wanliang Xia, Chao Luo, Zhijian Lin
Format: Article
Language:English
Published: Emerald Publishing 2024-08-01
Series:Journal of Intelligent Manufacturing and Special Equipment
Subjects:
Multi-sensor fusion
Surface quality
Digital signal processing
Feature engineering
Neural network
Parameter optimization
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JIMSE-10-2023-0010/full/pdf

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https://www.emerald.com/insight/content/doi/10.1108/JIMSE-10-2023-0010/full/pdf

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