The Effect of Dissolved Chlorine on the Pitting Behavior of 304L stainless Steel in a 0.5 N NaCl Solution

Abstract

Electrochemical experiments were performed on a 304L stainless steel alloy in a 0.5 N Sodium Chloride solution as a function of chlorine content (0- 180 mg/1). Experiments performed included a measurement of the corrosion potential as a function of time, the determination of the breakdown potential, and of the repassivation potential, utilizing cyclic polarization curves; and the use of a scratching electrode technique to measure the kinetic aspects of the breakdown of passivity. The addition of chlorine to a solution of pH5 in the concentration range of 20-60 ppm chlorine resulted in a significant shift in the corrosion potential in the noble direction. At higher concentrations of chlorine the corrosion potential shifts back toward that observed without chlorine additions. Chlorine also results in a monotonic shift in the breakdown potential, suggesting that the passive film is rendered more stable against the initiation of localized corrosion. However, the repassivation potential exhibits a minimum in the chlorine concentration range where the corrosion potential exhibits a maximum. This data suggests that the rate of propagation of localized corrosion should be maximized in this chlorine regime (20-60 mg.1). When scratching electrode experiments are performed, the number of pits is minimized but the size of the pits is maximized. Keywords: Diffusion; Liquid phases; Solids; Films.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA213803

Entities

People

  • D. J. Duquette
  • H. H. Lu

Organizations

  • Rensselaer Polytechnic Institute

Tags

DTIC Thesaurus Topics

  • Alloys
  • Chlorides
  • Chlorine
  • Corrosion
  • Current Density
  • Diffusion
  • Electrodes
  • Iron Alloys
  • Liquid Phases
  • Materials
  • Materials Engineering
  • Metals
  • Polarization
  • Security
  • Sodium Compounds
  • Stainless Steel
  • Steel

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  • Materials Science and Engineering.
  • Mathematics or Statistics