2024
DOI: 10.3390/s24030885
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Experimental Investigation for Monitoring Corrosion Using Plastic Optical Fiber Sensors

Liang Hou,
Shinichi Akutagawa,
Yuki Tomoshige
et al.

Abstract: The timely and cost-effective identification of the onset of corrosion and its progress would be critical for effectively maintaining structural integrity. Consequently, a series of fundamental experiments were conducted to capture the corrosion process on a steel plate using a new type of plastic optical fiber (POF) sensor. Electrolytic corrosion experiments were performed on a 5 mm thick steel plate immersed in an aqueous solution. The POF sensor installed on the upper side of the plate and directed downward… Show more

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“…Sensors 2024, 24, x FOR PEER REVIEW 2 of 23 sensors can be processed using graphical application software on a mobile phone; and (4) optical data or the corrosion condition can be visually confirmed if necessary. The initial experiment employing POF sensors to detect expanding corrosion zones in steel plates was conducted successfully [21], validating the factors listed above. However, the proposed method required two or more POF cables for corrosion detection: one for transmitting light to a monitoring point and another for retrieving reflected light to capture the corrosion phenomenon.…”
Section: Scenario For Corrosion Of Steel Platementioning
confidence: 63%
“…Sensors 2024, 24, x FOR PEER REVIEW 2 of 23 sensors can be processed using graphical application software on a mobile phone; and (4) optical data or the corrosion condition can be visually confirmed if necessary. The initial experiment employing POF sensors to detect expanding corrosion zones in steel plates was conducted successfully [21], validating the factors listed above. However, the proposed method required two or more POF cables for corrosion detection: one for transmitting light to a monitoring point and another for retrieving reflected light to capture the corrosion phenomenon.…”
Section: Scenario For Corrosion Of Steel Platementioning
confidence: 63%