Statistical modelling of surface roughness of aluminium alloy and brass (CROSBI ID 194497)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šimunović, Katica ; Šimunović, Goran ; Šarić, Tomislav
engleski
Statistical modelling of surface roughness of aluminium alloy and brass
This paper deals with the statistical modelling of surface roughness of face milled aluminium alloy and brass. By the application of central composite design and statistical analysis of experimental data, a regression model has been developed to calculate the surface roughness relating to three quantitative factors (depth of cut, feed rate and number of revolutions) and one qualitative factor (material type). A significant quadratic regression model with nonsignificant lack of fit has been derived. Also, for each level of qualitative factor (aluminium alloy and brass) regression models have been developed to predict surface roughness as a function of three numerical factors (depth of cut, feed rate and number of revolutions).
surface quality; milling; central composite design; aluminium alloy; brass
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Podaci o izdanju
44 (7)
2013.
618-625
objavljeno
0933-5137
10.1002/mawe.201300061