Open AccessThe Use of a Time-Frequency Transform for the Analysis of Electrochemical Noise for Corrosion Estimation
Author(s) -
J.H. Arellano-Pérez,
R.F. Escobar-Jiménez,
O.J. Ramos-Negrón,
M.A. Lucio-García,
J.F. GómezAguilar,
J. Uruchurtu
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/4333607
Subject(s) - electrochemical noise , alloy , corrosion , electrochemistry , aluminium , noise (video) , materials science , ethanol , gasoline , metallurgy , analytical chemistry (journal) , mathematics , chemistry , computer science , chromatography , electrode , organic chemistry , artificial intelligence , image (mathematics)
This work shows the results of evaluating the corrosion type and rate (CR) in the 6061-T6 aluminum alloy exposed to ethanol-gasoline blends (E0, E10, E20, E30, E40, E60, E80, and E100) by analyzing electrochemical noise (EN) signals using the Shannon energy (SSE) and the synchrosqueezing transform (SST). The obtained results are compared against the obtained with the statistical method (Location Index, LI). The results obtained with the SSE method showed that the corrosion type in the 6061-T6 aluminum alloy is classified better than using the statistical method. Moreover, the SST results showed that the corrosion rate increased with the increment of the ethanol content in the ethanol-gasoline blends from values in the order of 10 − 4 to 10 − 3 mm/year.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom