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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

Dumanić, Ivana ; Jozić, Sonja ; Bajić, Dražen ; Sučić, Mihovil Experimental investigation and multi-objective optimization of controllable parameters in turning process using Taguchi Method and Grey Relational Analysis // Mechanical Technologies and Structural Materials MTSM2018. 2018. str. 13-21

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

Povezanost rada

Strojarstvo

Indeksiranost