Correlation between the rust colour distribution rate and corroded surface characteristics of galvanized steel wires

2021 ◽  
Author(s):  
Kazuhiro Miyachi ◽  
Atsuto Kajita
Keyword(s):  
Digital Image ◽  
Surface Characteristics ◽  
Galvanized Steel ◽  
Mapping Technique ◽  
Surface Mapping ◽  
White Rust ◽  
Colour Distribution ◽  
Depth Increase ◽  
Analysis System ◽  
Pit Depth

<p>This study investigated the correlation of the rust colour distribution rate provided by using a digital image colour analysis system and the corroded surface characteristics provided by using a non- contact surface mapping technique. The ratio of zinc-specific white rust to iron-specific red rust, which characterizes the corrosion status of bridge wires, can be quantified by introducing the digital image colour analysis system. Regarding the correlation between the rust colour distribution rate and the corrosion surface characteristics, it was found that the corrosion loss rate and the pit depth increase as the white rust rate decreases.</p>

scholarly journals Corrosion Characterization at Surface and Subsurface of Iron-Based Buried Water Pipelines

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5877
Author(s):  
Dessalegn Ahmed Yeshanew ◽  
Moera Gutu Jiru ◽  
Gulam Mohammed Sayeed Ahmed ◽  
Irfan Anjum Badruddin ◽  
Manzoore Elahi M. Soudagar ◽  
...  
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Addis Ababa ◽  
Optical Microscope ◽  
Galvanized Steel ◽  
Uniform Corrosion ◽  
Corrosion Morphology ◽  
Pipe Surface ◽  
Pit Depth ◽  
Area And Volume

Water pipe surface deterioration is the result of continuous electrochemical reactions attacking the surface due to the interaction of the pipe surface with environments through the time function. The study presents corrosion characterization at the surface and sub-surface of damaged ductile iron pipe (DIP) and galvanized steel (GS) pipes which served for more than 40 and 20 years, respectively. The samples were obtained from Addis Ababa city water distribution system for the analysis of corrosion morphology patterns at different surface layers. Mountains 8.2 surface analysis software was utilized based on the ISO 25178-2 watershed segmentation method to investigate corrosion features of damaged pipe surface and to evaluate maximum pit depth, area, and volume in-situ condition. Based on the analysis maximum values of pit depth, area and volume were 380 μ m, 4000 μm2, and 200,000 μm3, respectively, after 25% loss of the original 8 mm thickness of DIP. Similarly, the pit depth of the GS pipe was 390 μm whereas the maximum pit area and volume are 4000 μm2 and 16,000 μm3, respectively. In addition, characterizations of new pipes were evaluated to study microstructures by using an optical microscope (OM), and a scanning electron microscope (SEM) was used to analyze corrosion morphologies. Based on the SEM analysis, cracks were observed at the sub-surface layer of the pipes. The results show that uniform corrosion attacked the external pipe surface whereas pitting corrosion damaged the subsurface of pipes. The output of this study will be utilized by water suppliers and industries to investigate corrosion phenomena at any damage stage.

Quantitation of the changes in vascularity during arthritis in the knee joint of a mouse with a digital image analysis system

2001 ◽  
Vol 262 (4) ◽  
pp. 420-428 ◽  
Author(s):  
Pieter Buma ◽  
Martin Groenenberg ◽  
Paul F.J.W. Rijken ◽  
Wim B. Van Den Berg ◽  
Leo Joosten ◽  
...  
Keyword(s):  
Image Analysis ◽  
Knee Joint ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Image Analysis System ◽  
Analysis System ◽  
Digital Image Analysis System

Model-based frequency response characterization of a digital-image analysis system for epifluorescence microscopy

1992 ◽  
Vol 31 (8) ◽  
pp. 1083
Author(s):  
Rajeeb Hazra ◽  
Charles L. Viles ◽  
Stephen K. Park ◽  
Stephen E. Reichenbach ◽  
Michael E. Sieracki
Keyword(s):  
Image Analysis ◽  
Frequency Response ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Epifluorescence Microscopy ◽  
Image Analysis System ◽  
Model Based ◽  
Analysis System ◽  
Digital Image Analysis System
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