Stand Alone and Mathlab Algorithm

  • Automation of the analysis of experimental data
  • Evaluation of the likelihood of metastable pitting
  • Estimate the likelihood of stress corrosion cracking

Abstract

The developed algorithm uses experimental data from potentiostatic testing to evaluate the likelihood of the current transients that are attributable to stable or metastable pitting based on the amount of electrical charge produced within any current peak transients. The algorithm uses information on the time taken for each pit like transient as well the time between transients to estimate the likelihood of stress corrosion cracking that may occur as a function of exposure time.

Advantages

  • Automation of the analysis of experimental data from potentiostatic electrochemical testing
  • Evaluation of the likelihood of metastable pitting and stable diffusion-controlled pitting for assessment of the true pitting potential in corrosion resistant alloys
  • Estimation of the likelihood of stress corrosion cracking as function of exposure time – this feature is unique

Contact Information

Name: Shyamala Rajagopalan

Email: SRajagopalan@tamu.edu

Phone: 979-862-3002