Measurement of atmospheric corrosion fatigue crack growth rates on AA7085-T7451

IF 6.8 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2023-02-01 DOI:10.1016/j.ijfatigue.2022.107368

Brandon Free , Gabriella Marino , Eric Schindelholz , Sarah Galyon Dorman , Jenifer S. (Warner) Locke

引用次数: 0

Abstract

To better understand the ability of conventional corrosion fatigue (CF) testing environments to estimate atmospheric CF performance, CF crack growth rates (da/dN) are measured in moist air in samples with surface salt deposits. Experiments show that samples loaded with 300 μg/cm² of NaCl and exposed to 80% relative humidity exhibit a maximum da/dN similar to full immersion environments. Atmospheric da/dN is consistent with full immersion testing at low loading frequency (f), but differences arise at high f with atmospheric crack growth proceeding faster than 23.1 wt% NaCl despite surface electrolyte droplets having a predicted composition of 23.1 wt% NaCl.

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AA7085-T7451合金大气腐蚀疲劳裂纹扩展速率的测定

为了更好地了解常规腐蚀疲劳(CF)测试环境对大气CF性能的评估能力，在表面有盐沉积的样品中，在潮湿空气中测量了CF裂纹扩展速率(da/dN)。实验表明，NaCl浓度为300 μg/cm2，相对湿度为80%时，样品的最大da/dN与全浸环境相似。在低加载频率(f)下，大气da/dN与全浸测试结果一致，但在高加载频率(f)下，差异出现，尽管表面电解质液滴的预测组成为23.1 wt% NaCl，但大气裂纹扩展速度快于23.1 wt% NaCl。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.