Projects / Programmes
Electrochemical noise as a method for characterization of corrosion processes
| Code |
Science |
Field |
Subfield |
| 2.04.01 |
Engineering sciences and technologies |
Materials science and technology |
Inorganic nonmetallic materials |
| Code |
Science |
Field |
| P400 |
Natural sciences and mathematics |
Physical chemistry |
| T450 |
Technological sciences |
Metal technology, metallurgy, metal products |
electrochemical noise, metastable pitting, pitting corrosion, stress-corrosion cracking, transformation between different corrosion processes, corrosion monitoring, spectral analysis, chaotic analysis, computer visualization system
Researchers (1)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
08281 |
PhD Andraž Legat |
Civil engineering |
Head |
1998 - 1999 |
486 |
Organisations (1)
Abstract
Electrochemical noise is spontaneously generated by corrosion reactions, and therefore the characteristics of the noise are influenced only by the nature and intensity of corrosion process. The results of previous investigations have confirmed that electrochemical noise measurement and analysis is a rich source of information about corrosion processes: it is a suitable method for the characterization of corrosion processes, and especially for the detection of transitions between them.
In the project the characteristics of electrochemical noise with respect to certain corrosion processes are studied. Certain complex corrosion types are dynamic processes which may transform into complete passivation, or to more severe corrosion types. The mechanisms of these dynamic corrosion processes are poorly understood, and due to their transient nature no method exists which could reliably measure them. The main aim of our study is to investigate the characteristics of electrochemical noise generated by these dynamic corrosion processes more into details: metastable pitting and their transformation to stable pitting, transition from pitting corrosion to stress-corrosion cracking (SCC), and oscillations between active corrosion and passive state due to inhibitors.
The results of statistical, frequency and chaotic analysis of the measured electrochemical noise will form the basis for the pattern recognition system, i.e. for determining the corrosion type and rate. It is expected that the results of the analysis of measured electrochemical noise, assisted by simultaneously performed computer visualization technique, will help to clarify the mechanisms of these processes. The results of this study will be also helpful in solving the problems caused by corrosion in industry and transportation, which may end in the most dangerous type of damage.
