Modeling of corrosion pit growth for prognostics and health management

Chaoyang Xie, Fayuan Wei, Pingfeng Wang, Hongzhong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pitting corrosion is one of the most destructive types of metal degradation and it can result in catastrophic failure of components due to transition of pits to stress corrosion cracks under loading. To facilitate the implementation of corrosion prognostics and health management, in paper presents a finite element approach for the simulation of stable pit growth with stress loads through a multi-physics field coupling technique. A potential drop (IR)-controlled corrosion is assumed to governing the pit evolution, whereas the potential distribution in electrolyte is solved by Laplace equation with a time-dependent solution. As the metal equilibrium potential varies with loads, a time-discrete stationary mechanical analysis was coupled with the corrosion modeling for stress distribution computing and updating. A case study of pitting corrosion growth with stress loads was used to demonstrate the proposed approach, in which the stress effects for pit depth, width and stress concentration factor were discussed.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Prognostics and Health Management
Subtitle of host publicationEnhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479918935
DOIs
StatePublished - Sep 8 2015
Externally publishedYes
EventIEEE Conference on Prognostics and Health Management, PHM 2015 - Austin, United States
Duration: Jun 22 2015Jun 25 2015

Publication series

Name2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015

Other

OtherIEEE Conference on Prognostics and Health Management, PHM 2015
CountryUnited States
CityAustin
Period6/22/156/25/15

Keywords

  • Growth Simulation
  • Multiphysics Modeling
  • Pitting Corrosion
  • Stress effects

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software
  • Engineering (miscellaneous)

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  • Cite this

    Xie, C., Wei, F., Wang, P., & Huang, H. (2015). Modeling of corrosion pit growth for prognostics and health management. In 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015 [7245024] (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2015.7245024