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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Detalles Bibliográficos
Autores principales: Cao, Chen, Zhao, Yugang, Song, Zhuang, Dai, Di, Liu, Qian, Zhang, Xiajunyu, Meng, Jianbing, Gao, Yuewu, Zhang, Haiyun, Liu, Guangxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501570/
https://www.ncbi.nlm.nih.gov/pubmed/36144071
http://dx.doi.org/10.3390/mi13091448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501570/
https://www.ncbi.nlm.nih.gov/pubmed/36144071
http://dx.doi.org/10.3390/mi13091448

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