Corrosive Factors of A Marine Atmosphere Analyzed by ACM Sensor for 1 year

Motoda, Shin-ichi; Suzuki, Yohnosuke; Shinohara, Tadashi; Tsujikawa, Shigeo; Oshikawa, Wataru; Itomura, Shosuke; Fukusima, Toshiro; Izumo, Shigeto

doi:10.3323/jcorr1991.44.218

Cited by 24 publications

(3 citation statements)

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“…Motoda et al 15) clarified the relationship between the sensor output (I) of Fe-Ag type ACM sensors and the relative humidity (RH) at each amount of deposited salt under the conditions of constant temperature and humidity, and that relationship was used to measure the amount of deposited salt during each duration in various exposure tests. [15][16][17] The amount of salt deposited on the ACM sensor surface during the exposure test was calculated every 12 hours by using this calibration curve. As shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

<i>In-situ</i> Observation of Cosmetic Corrosion Behavior under Atmospheric Environment

Yamamoto,

Ando

2023

Mater. Trans.

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It is well known that the types of automotive corrosion can be divided into perforation and cosmetic corrosion. Although many studies concerning the mechanism of perforation corrosion have been conducted so far, very few have investigated the mechanism of cosmetic corrosion. In our previous work, the authors found that the initial corrosion behavior in cosmetic corrosion consists of three steps by conducting in-situ observation during a cyclic corrosion test. In the present work, in-situ observation of painted samples with a scratch was performed during an exposure test in Okinawa to examine the cosmetic corrosion behavior under an actual environment. It was found that corrosion started at the moment of salt deposition around the scribed part from air containing salts, and the initial corrosion behavior in the exposure test consisted of three steps, which were the same as in the cyclic corrosion test. In the 1st step, black rust of Fe 3 O 4 formed at the scribed part, and in the 2nd step, under-film corrosion progressed from the scribed part where the black rust had formed. In the 3rd step, the tip of the under-film corrosion displayed swelling behavior. The behavior of each step was also discussed by combining the in-situ observation results with an analysis of environmental factors such as relative humidity and an EPMA analysis.

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Section: Discussionmentioning

confidence: 99%

<i>In-situ</i> Observation of Cosmetic Corrosion Behavior under Atmospheric Environment

Yamamoto,

Ando

2023

Mater. Trans.

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“…In the literature, different corrosion monitoring methods have been developed for atmospheric conditions: quartz crystal microbalance (QCM), [16][17][18] optic fibre-based sensors (OFCS), [19,20] acoustic emission (AE), [21][22][23] linear polarisation resistance (LPR), [24,25] atmospheric corrosion monitor (ACM), [26][27][28] electrochemical impedance spectroscopy (EIS), [25,29,30] electrical resistance (ER) [31][32][33][34][35][36][37][38][39][40][41] and radiofrequency (RF). [42][43][44] QCM, OFCS and RF methods rely on the use of thin metallic films, usually deposited by physical vapour deposition and are thus, not compatible with industrial materials and aggressive environments.…”

Section: Introductionmentioning

confidence: 99%

Real‐time corrosion monitoring of aluminium alloys under chloride‐contaminated atmospheric conditions

Diler

Peltier

Becker

et al. 2021

Materials & Corrosion

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In this study, the use of electrical resistance (ER) sensors to monitor the corrosion of Al94Cu6 alloy is assessed and compared with 2024‐T3 coupons. Under uniform corrosion, a good correlation was found between the ER sensors and mass loss on coupons. Three different chloride depositions are studied: (i) pre‐contamination with dry/wet cycles, (ii) Volvo standard accelerated corrosion test and (iii) neutral salt spray test. The obtained results show good reproducibility of the ER sensors under all tested conditions. This suggests that ER sensors more levelled the effect of localised corrosion through a large surface evaluation compared with cross‐sections. The corrosion thickness obtained with the ER sensors does not correspond to the mean depth obtained by cross‐sections. This can be explained by the distribution and size of the localised corrosion events according to a finite element model proposed. The ER method allows obtaining useful real‐time corrosion data for the understanding of the corrosion mechanisms and the development of accelerated tests. The chloride concentration, the frequency of salt application and wet/dry cycles have a strong influence on the corrosion rate of aluminium alloys.

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“…To address these problems, the corrosion losses of steel materials can be monitored by a sensor system. Impedance-based [3,4,5,6] and atmospheric corrosion monitor (ACM) [7,8,9,10] sensors using electrochemical signals have been developed, and electrochemical techniques have been used widely to monitor the corrosion rate of structures and the corrosivity of corrosion environments [11]. The corrosion rate and corrosion blister of coating layers have been evaluated using pulsed eddy currents [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Method for Estimating Time-Dependent Corrosion Depth of Carbon and Weathering Steel Using an Atmospheric Corrosion Monitor Sensor

Ahn

Jeong

Kim

et al. 2019

Sensors

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In this study, a time-dependent corrosion depth estimation method using atmospheric corrosion monitor (ACM) sensor data to evaluate time-dependent corrosion behaviors is proposed. For the time-dependent corrosion depth estimation of uncoated carbon steel and weathering steel, acceleration corrosion tests were conducted in salt-spray corrosion environments and evaluated with a corrosion damage estimation method using ACM sensing data and corrosion loss data of the tested steel specimens. To estimate the time-dependent corrosion depth using corrosion current by an ACM sensor, the relationship between the mean corrosion depth calculated from the weight loss method and the corrosion current was evaluated. The mean corrosion depth was estimated by calculating the corrosion current and evaluating the relationship between the mean corrosion depth and corrosion current during the expected period. From the test and estimation results, the corrosion current demonstrated a good linear correlation with the mean corrosion depth of carbon steel and weathering. The calculated mean corrosion depth is nearly the same as that of the tested specimen, which can be well used to estimate corrosion rate for the uncoated carbon steel and weathering steel.

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Corrosive Factors of A Marine Atmosphere Analyzed by ACM Sensor for 1 year

Cited by 24 publications

References 0 publications

<i>In-situ</i> Observation of Cosmetic Corrosion Behavior under Atmospheric Environment

<i>In-situ</i> Observation of Cosmetic Corrosion Behavior under Atmospheric Environment

Real‐time corrosion monitoring of aluminium alloys under chloride‐contaminated atmospheric conditions

A Method for Estimating Time-Dependent Corrosion Depth of Carbon and Weathering Steel Using an Atmospheric Corrosion Monitor Sensor

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