Prediction and optimization of surface roughness for laser-assisted machining sic ceramics based on improved support vector regression

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  • who: Chen Cao et al. from the School of Mechanical Engineering, Shandong University of Technology, Zibo, China have published the article: Prediction and Optimization of Surface Roughness for Laser-Assisted Machining SiC Ceramics Based on Improved Support Vector Regression, in the Journal: Micromachines 2022, 1448 of /2022/
  • what: In this paper the surface roughness of was investigated in_(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 excellent serviceability. The authors investigate the effects of . . .

     

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