Alumina–Nano-Nickel Composite Coatings on Al6061 Substrate Obtained by Electrophoretic Deposition

Ceramic–nano-metallic composite coatings of Al2O3–nano-Ni on an aluminum substrate (Al6061) were obtained using electrophoretic deposition (EPD). Three composite coatings with different ratios of nano-Ni, i.e., 25, 50, and 75%, were obtained. The phase composition of the resulting composite coatings was examined using XRD; this confirmed the existence of alumina and nickel in the composite coatings. The surface morphology and microstructure of the composite coatings were analyzed with SEM, while the chemical composition and phase content were determined through energy-dispersive spectroscopy. The hardness indenter results revealed a high hardness 420 HV for the Ni 25% composite coating However the hardness decreased with an increase in the Ni nanoparticle ratio, reaching a value of 360 HV for the Ni 75% composite coating. Reflectance measurements were conducted using a UV–visible spectrophotometer equipped with an integrating sphere (UV2600), and the composite coating with a Ni ratio of 75% exhibited the lowest reflectance of UV–visible light at <0.035. These results are promising for subsequent investigations into the absorbance of Al2O3–nano-Ni composite coatings within the sunlight irradiation wavelength range.

Authors

Institutions

Publication Details

Journal
Journal of Composites Science
Published
2025-03-06
DOI
https://doi.org/10.3390/jcs9030122
Citations
2
Primary Topic
Electrophoretic Deposition in Materials Science
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Alumina–Nano-Nickel Composite Coatings on Al6061 Substrate Obtained by Electrophoretic Deposition

Nacer Bezzi, Souaad Hamoudi, Farid Bensebaa, Philippe Delaporte
2 citations
Journal of Composites Science
Electrophoretic Deposition in Materials Science
1.46
article

Alumina–Nano-Nickel Composite Coatings on Al6061 Substrate Obtained by Electrophoretic Deposition

Nacer Bezzi, Souaad Hamoudi, Farid Bensebaa, Philippe Delaporte
article en
2 citations

Abstract

Ceramic–nano-metallic composite coatings of Al2O3–nano-Ni on an aluminum substrate (Al6061) were obtained using electrophoretic deposition (EPD). Three composite coatings with different ratios of nano-Ni, i.e., 25, 50, and 75%, were obtained. The phase composition of the resulting composite coatings was examined using XRD; this confirmed the existence of alumina and nickel in the composite coatings. The surface morphology and microstructure of the composite coatings were analyzed with SEM, while the chemical composition and phase content were determined through energy-dispersive spectroscopy. The hardness indenter results revealed a high hardness 420 HV for the Ni 25% composite coating However the hardness decreased with an increase in the Ni nanoparticle ratio, reaching a value of 360 HV for the Ni 75% composite coating. Reflectance measurements were conducted using a UV–visible spectrophotometer equipped with an integrating sphere (UV2600), and the composite coating with a Ni ratio of 75% exhibited the lowest reflectance of UV–visible light at <0.035. These results are promising for subsequent investigations into the absorbance of Al2O3–nano-Ni composite coatings within the sunlight irradiation wavelength range.

Journal of Composites ScienceVol. 9(3)
Centre National de la Recherche Scientifique (FR), University of Béjaïa (DZ), Aix-Marseille Université (FR), National Research Council Canada (CA)
Affordable and clean energy
Openalex Percentile: Top 19%
Electrophoretic Deposition in Materials Science
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.