Open AccessASSESSMENT OF SURFACE ROUGHNESS IN MQL ASSISTED TURNING PROCESS OF TITANIUM ALLOY WITH APPLICATION OF TOPSIS-AHP METHOD
Author(s) -
Marian Bartoszuk,
Munish Kumar Gupta
Publication year - 2018
Publication title -
journal of machine engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 7
eISSN - 2391-8071
pISSN - 1895-7595
DOI - 10.5604/01.3001.0012.0936
Subject(s) - topsis , lubrication , surface roughness , titanium alloy , machining , materials science , surface finish , metallurgy , mechanical engineering , process (computing) , analytic hierarchy process , titanium , computer science , alloy , engineering , composite material , operations research , operating system
The optimization of surface roughness values considered as one of the most significant issues regarding turning process of titanium alloys with the use of minimum quantity lubrication (MQL) method. With such an aim in mind, the application of TOPSIS-AHP method is implemented in order to establish the most favourable cutting parameters for the following values of surface roughness: Ra, Rq and Rz in machining of titanium alloys regarding MQL conditions. The proposed methodology consists of the two stages. At the beginning, tests on turning process were performed on CNC lathe, taking feed rate, approach angle, and cutting speed as input parameters. Then, the TOPSIS-AHP method was applied on the given experimental data and the optimum machining parameters were determined. The findings from current investigations showed that, lower values of cutting speed, feed rate and middle value of approach angle shows the optimal results.