Naslov
Investigation of Correlation between Image Features of Machined Surface and Surface Roughness

Autori
SVALINA, Ilija ; HAVRLIŠAN, Sara ; ŠIMUNOVIĆ, Katica ; ŠARIĆ, Tomislav

Izvornik
Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 27 (2020), 1; 27-36

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
correlation ; digital image features of machined surface ; face milling ; image features ranking ; surface roughness

Sažetak
Alternative approach to surface roughness evaluation is mostly based on the analysis of digital images of machined surfaces i.e. on extracting various features from the matrix mathematically representing a digital image. This paper analyses correlation between 23 different digital image features and the surface roughness for two different materials: aluminium and stainless steel. Machined surfaces for both materials were acquired by face milling. Factorial design 6 × 5 × 2 with two replicates was conducted for each material with cutting parameters being varied on various numbers of levels. Based on the correlation coefficients the results showed that the best ranked features regardless of the machined material were the features based on statistic measures.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

Napomena
This research is accomplished within the
project No. SV001 entitled "Modelling and
Optimizing Processes Applicable in
Maintenance" financed by the Mechanical
Engineering Faculty in Slavonski Brod.

POVEZANOST RADA