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Neural Network Modeling of Cutting Force and Chip Thickness Ratio for Turning Aluminum Alloy 7075-T6
Author(s) -
Mohanned M. H. AL-Khafaji
Publication year - 2018
Publication title -
al-khwarizmi engineering journal
Language(s) - English
Resource type - Journals
eISSN - 2312-0789
pISSN - 1818-1171
DOI - 10.22153/kej.2018.10.004
Subject(s) - chip , machining , materials science , machinability , surface roughness , mechanical engineering , drilling , tool wear , composite material , structural engineering , engineering , metallurgy , electrical engineering

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