Influence of Anodizing Parameters on Surface Morphology and Surface-Free Energy of Al2O3 Layers Produced on EN AW-5251 Alloy

Abstract

The paper presents the influence of the surface anodizing parameters of the aluminum alloy EN AW-5251 on the physicochemical properties of the oxide layers produced on it. Micrographs of the surface of the oxide layers were taken using a scanning electron microscope (SEM). The chemical composition of cross-sections from the oxide layers was studied using energy dispersive spectroscopy (EDS). The phase structure of the Al2O3 layers was determined by the pattern method using X-ray diffractometry (XRD). The nanomorphology of the oxide layers were analyzed based on microscopic photographs using the ImageJ 1.50i program. The energetic state of the layers was based on the surface-free energy (SFE), calculated from measurements of contact angles using the Owens-Wendt method. The highest surface-free energy value (49.12 mJ/m2) was recorded for the sample produced at 293 K, 3 A/dm2, in 60 min. The lowest surface-free energy value (31.36 mJ/m2) was recorded for the sample produced at 283 K, 1 A/dm2, in 20 min (the only hydrophobic layer). The highest average value nanopore area (2358.7 nm2) was recorded for the sample produced at 303 K, 4 A/dm2, in 45 min. The lowest average value nanopore area (183 nm2) was recorded for the sample produced at 313 K, 1 A/dm2, in 20 min.

Application of the Image Analysis Methods for the Study of Al2O3 Surafce Coatings

“…Obtained results may be interested for other researchers focused on coatings and surface layer modifications (Skoneczny and Bara, 2007;Bara et al, 2009;Kmita and Bara, 2012;Skoneczny et al, 2018;Bara et al, 2019), even in the combustion technology (Opydo et al, 2016). They may be also inspiring for related areas of materials science (Lipinski, 2015;Lipinski 2018;Szczotok et al, 2018), heavy-duty machines design and experimental design methodology (Pietraszek and Goroshko, 2014;Pietraszek et al, 2016), especially with the uncertainty quantification (Pietraszek et al, 2017) and fuzzy logic decision scheme Krawczyk and Sobczyk, 2018).…”

APPLICATION OF THE IMAGE ANALYSIS METHODS FOR THE STUDY OF Al2O3 SURAFCE COATINGS

“…Farther evaluation of computer image analysis connected with tribological estimation could be promising method used to characterize tribological properties of Al2O3/WS2 coatings even before tribological cooperation. Obtained results may be interested for other researchers focused on coatings and surface layer modifications (Skoneczny and Bara, 2007;Bara et al, 2009;Kmita and Bara, 2012;Skoneczny et al, 2018;Bara et al, 2019), even in the combustion technology (Opydo et al, 2016). They may be also inspiring for related areas of materials science (Lipinski, 2015;Lipinski 2018;Szczotok et al, 2018), heavy-duty machines design (Fabis-Domagala et al, 2018) and experimental design methodology (Pietraszek and Goroshko, 2014;Pietraszek et al, 2016), especially with the uncertainty quantification (Pietraszek et al, 2017) and fuzzy logic decision scheme (Filo et al, 2018;Krawczyk and Sobczyk, 2018).…”

Corrosion Effect of 65% Nitrate Acid on X4CrNi1812 at 333 K

“…It should be also inspiring for researchers focused on protective coatings (Wlodarczyk et al, 2011;Bara et al, 2016;Korzekwa et al, 2018;Radek et al, 2018), especially in implants (Dudek and Włodarczyk, 2010;Dudek, 2011) and surface layers modifications (Skoneczny et al, 2007;Bara et al, 2009;Kmita and Bara, 2012;Skoneczny et al, 2018;Szczotok et al, 2018;Bara et al, 2019) investigated by image analysis methods (Gadek-Moszczak et al, 2014;Gadek-Moszczak et al, 2015).…”