Published August 2018 | Version v1
Journal article

Prediction of corrosion fatigue crack growth rate in alloys. Part I: General corrosion fatigue model for aero-space aluminum alloys

  • 1. Volodymyr Dahl East Ukrainian National University, Severodonetsk, 93400 (Ukraine)
  • 2. Department of Materials Science and Engineering, University of California at Berkeley, Berkeley, CA, 94720 (United States)
  • 3. Department of Nuclear Engineering, University of California at Berkeley, Berkeley, CA 94720 (United States)
  • 4. OLI Systems, Inc., 108 American Road, Morris Plains, NJ 07950 (United States)

Description

Highlights: • A General Corrosion Fatigue Model (GCFM) was developed. • GCFM based on consideration of advection between the crack and external environment. • Crack growth rate is regarded as the sum of the stress corrosion cracking and cyclic loading. • The GCFM predicts change in the potential drop and current density during crack propagation. - Abstract: In this work, a General Corrosion Fatigue Model (GCFM) was developed for predicting corrosion fatigue crack growth rate (CFCGR) in metals under cyclical loading. The GCFM is based on an equation for the potential drop from the external surface to the crack tip of metals as derived from the principle of differential aeration. Development of the GCFM involves consideration of cyclic loading on the CFCGR and of advection between the in-crack and external environment. We demonstrate the influence of corrosion environment and cyclic loading on the crack growth rate in Al-Li alloys in a 1:1 electrolyte (0.6 M NaCl).

Availability note (English)

Available from http://dx.doi.org/10.1016/j.corsci.2018.06.034

Additional details

Identifiers

DOI
10.1016/j.corsci.2018.06.034;
PII
S0010938X18301240;

Publishing Information

Journal Title
Corrosion Science
Journal Volume
141
Journal Page Range
p. 22-29
ISSN
0010-938X
CODEN
CRRSAA

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50048851
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALUMINIUM ALLOYS; COMPUTERIZED SIMULATION; CORROSION FATIGUE; CRACK PROPAGATION; CRACKING; CURRENT DENSITY; ELECTROLYTES; FORECASTING; STRESS CORROSION; SURFACES
Descriptors DEC
ALLOYS; CHEMICAL REACTIONS; CORROSION; DECOMPOSITION; FATIGUE; MECHANICAL PROPERTIES; PYROLYSIS; SIMULATION; THERMOCHEMICAL PROCESSES

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.