Prediction and Optimization of Surface Roughness for Laser-Assisted Machining SiC Ceramics Based on Improved Support Vector Regression

Prediction and Optimization of Surface Roughness for Laser-Assisted Machining SiC Ceramics Based on Improved Support Vector Regression

In this paper, the surface roughness of SiC ceramics was investigated in laser-assisted machining (LAM) processes; machine learning was used to predict surface roughness and to optimize the process parameters, and therefore, to ultimately improve the surface quality of a workpiece and obtain excelle...

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Bibliographic Details
Main Authors: Chen Cao, Yugang Zhao, Zhuang Song, Di Dai, Qian Liu, Xiajunyu Zhang, Jianbing Meng, Yuewu Gao, Haiyun Zhang, Guangxin Liu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Micromachines
Subjects:
surface roughness
SiC ceramics
laser-assisted machining (LAM)
optimization
GWO-SVR
Online Access:https://www.mdpi.com/2072-666X/13/9/1448

Internet

https://www.mdpi.com/2072-666X/13/9/1448

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