Open AccessAn assessment of cutting abilities of boron nitride high porous wheels while pendulum grinding of elements made of titanium alloy VT20 using the artificial neural network
Author(s) -
Soler Yakov,
Май Динь Ши,
Nguyen Van Le
Publication year - 2016
Publication title -
obrabotka metallov
Language(s) - English
Resource type - Journals
eISSN - 2541-819X
pISSN - 1994-6309
DOI - 10.17212/1994-6309-2016-2-28-40
Subject(s) - boron nitride , grinding , materials science , porosity , titanium alloy , boron , artificial neural network , alloy , pendulum , metallurgy , titanium , mechanical engineering , composite material , engineering , computer science , artificial intelligence , physics , nuclear physics