E. García-Lecina

Centre for Electrochemical Technologies

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M. Lekka

Centre for Electrochemical Technologies

M. Belenguer

Universitat de Barcelona

B. Gastón-García

Centre for Electrochemical Technologies

Chihab Abarkane

Centre for Electrochemical Technologies

Arkaitz Artetxe

Vicomtech

José Luis Larrañaga Odriozola

Vicomtech

A.M. Florez-Tapia

Vicomtech

H.-J. Grande

Centre for Electrochemical Technologies

J.M. Vega

Centre for Electrochemical Technologies

C. Müller

University of Freiburg

Cooperative Institutions

Centre for Electrochemical Technologies

Universitat de Barcelona

Vicomtech

Consejo Superior de Investigaciones Científicas

Universidad de Granada

Biogipuzkoa Health Research Institute

University of the Basque Country

Universidad Complutense de Madrid

Digital Research Alliance of Canada

Instituto Politécnico Nacional

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Local Burning Phenomena in Sulfuric Acid Anodizing: Analysis of Porous Anodic Alumina Layers on AA1050

Electrochemical and Solid-State Letters (2010)

B. Gastón-García E. García-Lecina José A. Díez M. Belenguer C. Müller

The development of local burning phenomena during galvanostatic anodizing of the AA1050 aluminum alloy in a sulfuric acid electrolyte was analyzed. The oxide hillocks formed during burning were controlled and characterized at different anodizing times. Field-emission-scanning electron microscope images, electron probe microanalysis, energy-dispersive X-ray spectroscopy analysis, and microhardness measurements showed that the porous anodic alumina (PAA) that formed the hillocks had a different structure, composition, and mechanical behavior than the standard PAA. Moreover, Fe and Si were detected at the very top parts of the hillocks, suggesting a connection between intermetallic particles and burning initiation.

Anodizing

Hillock

Microanalysis

10.1149/1.3478482

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Citations (24)

Acoustic emission as a reliable technique for filiform corrosion monitoring on coated AA7075-T6: Tailored data processing

Corrosion Science (2023)

Chihab Abarkane A.M. Florez-Tapia José Luis Larrañaga Odriozola Arkaitz Artetxe M. Lekka

Acoustic emission (AE) was used for in-situ filiform corrosion (FFC) monitoring on coated AA77075-T6. The analysis of AE data using DBSCAN as clustering algorithm (validated by Bhattacharyya Coefficients´ evaluation) has revealed the presence of three clusters (out of four) related to phenomena involved in the FFC mechanism: metal-coating interface delamination due to opening (tensile), sliding (shear) and mixed mode enclosing both previous ones. The peak frequency was found to be the most relevant descriptor for clustering by using Random Forest classifier, and the correlation with the dominant frequencies range was validated obtaining the Power Spectrum Density of the AE signals.

Bhattacharyya distance

Acoustic Emission

Friction Stir Processing

Delamination

10.1016/j.corsci.2023.110964

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Citations (9)