2007
DOI: 10.1016/j.electacta.2007.07.014
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Electrochemical noise analysis of the corrosion of AZ91D magnesium alloy in alkaline chloride solution

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Cited by 112 publications
(76 citation statements)
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“…The value of 1/R n was proportional to the corrosion rate which was calculated instantaneously [15][16][17][18]. The Fig.…”
Section: En Transients and Noise Resistancementioning
confidence: 99%
See 1 more Smart Citation
“…The value of 1/R n was proportional to the corrosion rate which was calculated instantaneously [15][16][17][18]. The Fig.…”
Section: En Transients and Noise Resistancementioning
confidence: 99%
“…EN shows some advantages compared to the common electrochemical techniques: first, EN is able to instantaneously monitor the rate of the corrosion process [15][16][17][18][19][20]; second, EN is carried out without artificial disturbance of the system [15][16][17][18][19][20]; last, EN can provide more information of localized corrosion than conventional techniques [21][22][23][24][25][26][27][28][29][30][31][32].…”
Section: Introductionmentioning
confidence: 99%
“…These properties entice automobile manufacturers to replace denser materials by magnesium-based alloys [1,2]. However, the high reactive nature of magnesium makes it highly susceptible to corrosion in aggressive media, especially in electrolytes containing Cl À [3]. It will form a galvanic corrosion system with another metal and even a micro-galvanic corrosion system with secondary phases (a-phase and/or b-phase) and impurity grains [4,5] in an aqueous environment, which restrict the wide applications in large-scales of magnesium alloys.…”
Section: Introductionmentioning
confidence: 99%
“…For non-stationary signals traditional frequency analysis becomes inappropriate because of this property. In many other papers the Discrete Wavelet Transform (DWT) has been used for analyzing EN signals [9,18,21,[23][24][25][26][27][28], firstly introduced for the analysis of EN by Aballe et al [21]. The DWT describes the original EN signal using a linear combination of oscillations with a limited time span, called wavelets.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the scaling process, after each iteration, lower frequencies are described. In other words, DWT analyses the EN signal using a pre-defined number of timescales by scaling and translation of wavelets [9,18,21,[23][24][25][26][27][28]. The energy present in those timescales could in turn be associated with the dominance of activation-or diffusion controlled processes, or processes under mixed control [7,9,16,18,21,[23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%