| Autor: |
Santhakumar, J., Iqbal, U. Mohammed |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 8/26/2022, Vol. 2460 Issue 1, p1-10, 10p |
| Abstrakt: |
This work investigates the effect of the influencing machining parameters and optimum input in the machinability characteristics of AZ31 magnesium alloy during face milling operation. The input parameters selected are depth of cut, feed rate and cutting speed. The output responses measured are surface roughness and tool nose radius deviation. Taguchi L9 orthogonal array was designed for the three input parameters and three level design. Based on Taguchi's S/N ratio, the ideal input factors were obtained for minimum surface roughness and tool nose radius deviation. The optimal combination of process parameters were determined using grey relational grading in order to obtain improved surface quality and reduced tool nose deviation. Confirmation studies showed that the optimum combination of input parameters resulted in considerable improvements in output quality. Grey relational Taguchi analysis is an excellent approach for determining feasible input parameters for a desired surface quality of AZ31 Alloy under dry conditions, according to the results of the confirmation experiment. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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