Establishing first order correlations between pitting corrosion initiation and local microstructure in AA5083 using automated image analysis

نویسندگان

چکیده

A rapid image segmentation and correlation-based approach to investigating the local microstructural effects on pitting corrosion susceptibility is introduced. The impact of four different features, consisting grain orientation, proximity boundaries, intermetallic particles, geometrically necessary dislocation (GND) density, initiation in 5083 aluminum alloy was directly investigated using automated pit detection processing combination with electron microscopy-based characterization. Three thermomechanical treatments were used vary system microstructure samples immersed 3.5 wt% NaCl aqueous solution for 24 h induce pitting. GND density particle both showed positive correlations, while orientation boundary no correlation sites.

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ژورنال

عنوان ژورنال: Materials Characterization

سال: 2021

ISSN: ['1044-5803', '1873-4189']

DOI: https://doi.org/10.1016/j.matchar.2021.111237