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Prediction model for atmospheric corrosion of 7005-T4 aluminum alloy in industrial and marine environments

  • Xiao guang Sun*
  • , Peng Lin
  • , Cheng Man
  • , Jian Cui
  • , Hai bo Wang
  • , Chao fang Dong
  • , Xiao gang Li
  • *Corresponding author for this work
  • CRRC Corporation Limited
  • University of Science and Technology Beijing

Research output: Contribution to journalArticlepeer-review

Abstract

Accelerated corrosion tests of the 7005-T4 aluminum alloy were conducted to determine a suitable service life prediction method by using alternating wet–dry cycles in three kinds of solutions. The morphology and composition analysis of the corrosion product revealed that slight corrosion occurred on the surfaces of the samples immersed in a 0.25wt% Na2S2O8 solution. However, pitting corrosion occurred on the surfaces of the samples immersed in a 3.5wt% NaCl solution, whereas exfoliation corrosion occurred on the surfaces of the samples immersed in a mixture of 0.25wt% Na2S2O8 and 3.5wt% NaCl solutions. A power exponent relationship was observed between the mass loss and exposure time of the 7005-T4 aluminum alloy immersed in the three kinds of solutions. In the mixture of 0.25wt% Na2S2O8 and 3.5wt% NaCl solutions, the mass loss of the aluminum alloy yielded the maximum value. Based on the calculation of the correlation coefficients, the alternating wet–dry procedure in a 3.5wt% NaCl solution could be used to predict the corrosion behavior of 7005-T4 aluminum alloy exposed in the atmosphere of Qingdao, China. The prediction model is as follows: T = 104.28·t0.91, where T is the equivalent time and t is the exposure time.

Original languageEnglish
Pages (from-to)1313-1319
Number of pages7
JournalInternational Journal of Minerals, Metallurgy and Materials
Volume25
Issue number11
DOIs
StatePublished - 1 Nov 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • accelerated test
  • aluminum alloy
  • atmospheric corrosion
  • correlation coefficient
  • relational model

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