Pregled bibliografske jedinice broj: 645003
Investigation of surface roughness of aluminium alloy and brass using experimental design
Investigation of surface roughness of aluminium alloy and brass using experimental design // Zbornik radova Conference Proceedings Strojarske tehnologije i konstrukcijski materijali Mechanical Technologies and Structural Materials / Živković, Dražen (ur.).
Split: Hrvatsko društvo za strojarske tehnologije, 2013. str. 15-23 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 645003 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Investigation of surface roughness of aluminium alloy and brass using experimental design
Autori
Šimunović, Katica ; Balentić, Davor ; Šarić, Tomislav ; Šimunović, Goran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Zbornik radova Conference Proceedings Strojarske tehnologije i konstrukcijski materijali Mechanical Technologies and Structural Materials
/ Živković, Dražen - Split : Hrvatsko društvo za strojarske tehnologije, 2013, 15-23
Skup
3rd International Conference on Mechanical Technology and Structural Materials
Mjesto i datum
Split, Hrvatska, 26.09.2013. - 27.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
aluminium alloy; brass; surface roughness; regression model; experimental design
Sažetak
In this paper, the results of surface roughness investigation for the face milling of aluminium alloy and brass using two types of cutting tools (high speed steel tool and tool with cutting inserts), have been presented. By the application of central composite design and statistical analysis of experimental data, regression models have been developed to predict the surface roughness relating to the three quantitative factors (depth of cut, feed rate and number of revolutions) and one qualitative factor (material type), for the machining with certain type of tool. Also, for each level of qualitative factor (aluminium alloy and brass), and for each tool, regression models have been developed to predict surface roughness as a function of three numerical factors. For the machining with the first type of tool a significant quadratic regression model with nonsignificant lack of fit has been developed. Statistical analysis of experimental data of machining with the second type of tool, gives the linear model with two factor interactions.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Strojarski fakultet, Slavonski Brod