Experimental investigation and multi-objective optimization of controllable parameters in turning process using Taguchi Method and Grey Relational Analysis (CROSBI ID 666508)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dumanić, Ivana ; Jozić, Sonja ; Bajić, Dražen ; Sučić, Mihovil
engleski
Experimental investigation and multi-objective optimization of controllable parameters in turning process using Taguchi Method and Grey Relational Analysis
In the present research work investigation of different cutting conditions such as dry machining, minimum quantity lubrication (MQL) and MQL with compressed cold air on average surface roughness, cutting force and material removal rate is presented. Experiments were designed based on three input parameters (cutting speed, feed rate and depth of cut) and three different cutting environments when turning of EN AW-2011 alloy. The Taguchi-based grey relational analysis during longitudinal turning was used to identify the optimal process parameters by which will be achieved minimum surface roughness, minimum cutting force and maximum material removal rate. The results showed that dry machining, high cutting speed, low feed rate and intermediate depth of cut gives the best machining performances.
Turning, MQL, Compressed cold air cooling, Grey relational analysis, Multi-objective optimization
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Podaci o prilogu
13-21.
2018.
objavljeno
Podaci o matičnoj publikaciji
Mechanical Technologies and Structural Materials MTSM2018
Podaci o skupu
CROATIAN SOCIETY FOR MECHANICAL TECHNOLOGIES
predavanje
27.09.2018-28.09.2018
Split, Hrvatska