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

被引：7

作者：

Key, Jordan W. ^{[1
]}

Kacher, Josh ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA

来源：

MATERIALS CHARACTERIZATION | 2021年 / 178卷

关键词：

Alloy (a); SEM (B); Pitting corrosion (C); CRYSTALLOGRAPHIC ORIENTATION; SPATIAL CORRELATIONS; ALUMINUM;

D O I：

10.1016/j.matchar.2021.111237

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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

引用

页数：10