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Pregled bibliografske jedinice broj: 835577

Analysis of Variance for Aluminium Alloy Surface Roughness Data


Šimunović, Katica; Svalina, Ilija; Šarić, Tomislav; Havrlišan, Sara; Lujić, Roberto; Šimunović, Goran
Analysis of Variance for Aluminium Alloy Surface Roughness Data // ZBORNIK RADOVA/CONFERENCE PROCEEDINGS STROJARSKE TEHNOLOGIJE I KONSTRUKCIJSKI MATERIJALI/MECHANICAL TECHNOLOGIES AND STRUCTURAL MATERIALS / Jozić, Sonja ; Lela, Branimir (ur.).
Split: Hrvatsko društvo za strojarske tehnologije, 2016. str. 137-144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Analysis of Variance for Aluminium Alloy Surface Roughness Data

Autori
Šimunović, Katica ; Svalina, Ilija ; Šarić, Tomislav ; Havrlišan, Sara ; Lujić, Roberto ; 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 / Jozić, Sonja ; Lela, Branimir - Split : Hrvatsko društvo za strojarske tehnologije, 2016, 137-144

Skup
6th International Conference on Mechanical Technologies and Structural Materials MTSM 2016

Mjesto i datum
Split, Hrvatska, 22-23.09.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Aluminium alloy; Analysis of variance; Factorial design; Surface roughness

Sažetak
With the main aim of studying the effects of three input variables, namely depth of cut a, feed rate f and spindle speed n as well as their interactions on the output response (the arithmetic average of the roughness profile Ra) of face-milled aluminium alloy, the analysis of variance for experimental data was performed. The experimental results were obtained from a full factorial design with three factors at four levels with two replicates (43×2). This experimental design was previously used for the generation of the fuzzy inference system to predict and control the surface roughness using the adaptive neuro-fuzzy inference system (ANFIS). In the present study, the obtained experimental data were statistically analysed. The results indicate that the depth of cut and feed rate are statistically significant. A linear two-factor interaction between the feed rate and the depth of cut is also significant, i.e., varying the feed rate does not have the same effect on the surface roughness at different levels of the depth of cut and vice versa.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekt / tema
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Tomislav Šarić, )

Ustanove
Strojarski fakultet, Slavonski Brod