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Temporal Instabilities in Corrosion Processes

  • Marek Orlik
Chapter
Part of the Monographs in Electrochemistry book series (MOEC)

Abstract

In this chapter, temporal dynamic instabilities in the electrode processes associated with anodic electrodissolution of metals and semiconductors are described. Oscillations in these processes are generally associated with the periodic buildup and destruction of the passive layer on the electrode surface. Following concise characteristics of the passive/active transitions, including general and pitting corrosion, several experimental systems and their theoretical models are described. Experimental characteristics of the Fe/H2SO4 system include its dynamic analogies with the neural excitation and conduction. The evolution of theoretical models of the instabilities in the Fe/H2SO4 system is shown. Furthermore, the instabilities in electrodissolution of copper in various media, of nickel in sulfuric acid (the latter system being a typical HN-NDR oscillator), of cobalt and of vanadium in various media are described. In brief, analogous phenomena for the electrodissolution of silver, gold, aluminum, as well as for lead, zinc, tin, titanium, bismuth, cadmium, niobium, and tungsten in various media are characterized. The possible application of anodic dissolution in the micromachining process is indicated. In the last section, the oscillatory electrodissolution of cadmium-based and silicon semiconductors is outlined, as the introduction to spatial and spatiotemporal self-organization in these processes, described in Chap. 4 of volume II. It is concluded that for satisfactory description of temporary instabilities in the anodic dissolution of both metals and semiconductors it is necessary to invoke the spatial inhomogeneity of the oxidized surfaces, as described in Chaps. 2–4 of volume II.

Keywords

Hopf Bifurcation Electrode Potential Passive Layer Tool Electrode Negative Differential Resistance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marek Orlik
    • 1
  1. 1.Faculty of ChemistryUniversity of WarsawWarsawPoland

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