Open AccessImproving the Accuracy of Surface Roughness Modeling when Milling 3x13 Steel
Author(s) -
Nguyễn Văn Cường,
Nguyen Lam Khanh
Publication year - 2022
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.5042
Subject(s) - box–behnken design , surface roughness , materials science , transformation (genetics) , surface finish , texture (cosmology) , transformation matrix , surface (topology) , linear regression , matrix (chemical analysis) , design of experiments , experimental data , response surface methodology , metallurgy , composite material , computer science , artificial intelligence , mathematics , geometry , statistics , machine learning , image (mathematics) , biochemistry , chemistry , physics , kinematics , classical mechanics , gene