|
|
|
| Life Prediction of Anti-corrosion Coating for Steel Box Girder by In-door Simulation Tests Combined with #br#Image Processing Technique |
LIU Tao1, AI Jun1, ZHANG Lifang1, ZHANG Pengfei2,
YANG Zhaohui2, XU Chunlin2 |
1. Department of Civil Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Zhejiang Jiaogong Highway Maintencance Co. Ltd., Hangzhou 310051, China |
|
|
|
|
Abstract In order to reveal the evolution of corrosion damage of the anti-corrosion coating for steel box girder, and predict its corrosion life, in-door accelerated tests was carried out for samples Q345C steel, which were coated firstly with an arc spraying aluminum layer and then a top sealing paint. Corrosion morphology image of paints was collected through flat-scanner. Characteristic parameters of corrosion morphology image were extracted through image processing technology to monitor the corrosion process so that to predict corrosion life and evaluate corrosion grade of the coating. The results show that image processing technology could realize a quantitative analysis of blistering area of the paint, and provide a new method for evaluting the corrosion grade as well as revealing the evolution process of corrosion damage. The coating losts efficacy with 5% blistering area of the top paint after 598 h indoor-accelerated corrosion test.
|
|
|
|
|
Cite this article:
LIU Tao,AI Jun,ZHANG Lifang,ZHANG Pengfei,
YANG Zhaohui,XU Chunlin. Life Prediction of Anti-corrosion Coating for Steel Box Girder by In-door Simulation Tests Combined with #br#Image Processing Technique. Journal of Chinese Society for Corrosion and protection, 2013, 33(5): 407-412.
URL:
https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2013/V33/I5/407
|
[1] Chao Y, Wang Y D. Anticorrosion construction quality control of xihoumen bridge steel box beam [J]. Architect. Technol., 2011, 42(2): 310-312
(晁宇, 王延东. 西堠门大桥钢箱梁防腐施工质量控制 [J]. 建筑技术, 2011, 42(2): 310-312)
[2] An Y Q, Hong W, Chen J L. Life forecast on arc spraying aluminium multiplex coatings for steel bridge in marine environment [J]. Nonferrous Met., 2006, (suppl.1): 80-82
(安云岐, 洪伟, 陈阶亮. 海洋环境下钢桥梁电弧喷铝复合涂层体系防护寿命预测 [J]. 有色金属 (冶金部分), 2006, (增刊1): 80-82)
[3] Zhu Z T, Mu Z T, Su W G, et al. Corrosion grade evaluation of aluminum alloy based on image processing technique [J]. J. Nanjing Univ. Aeronaut. Astronaut., 2010, 42(3): 383-386
(朱做涛, 穆志韬. 苏维国等. 基于图像处理技术的铝合金腐蚀等级评定方法 [J]. 南京航空航天大学学报, 2010, 42(3): 383-386)
[4] Ji G, Li H M, Zhang L W. Disposition of material erode feature with the technology of computer image recognition [J]. Surf. Technol., 2001, 30(1): 21-24
(纪纲, 李红梅, 张伦武.对镀层材料外观腐蚀特征的识别及分析处理 [J]. 表面技术, 2001, 30(1): 21-24)
[5] Wu Y S, Fang Z, et al. Corrosion Test and Protection Detection Technology [M]. Beijing: Chemical Industry Press, 1995
(吴荫顺, 方智等. 腐蚀试验方法与防腐蚀检测技术 [M]. 北京: 化学工业出版社, 1995)
[6] Fei Y W, Peng B, Xiao Y P. Metal corrosion on the digital image processing technology development [J]. Digit. Technol. Appl. 2010, 11(2): 45-46
(费逸伟, 彭彬, 校云鹏. 金属腐蚀图像数字处理技术发展综述 [J]. 数字技术与应用, 2010, 11(2): 45-46)
[7] Zheng J G. Digital Image Processing Research Based on Matlab [M]. Yunnan: Yunnan University Press, 2011: 84-85
(郑继刚. 基于Matlab的数字图像处理研究 [M]. 云南: 云南大学出版社, 2011: 84-85)
[8] Yang J. Digital Image Processing and Matlab [M]. Beijing: Publishing House of Electronics Industry, 2010: 164-165
(杨杰. 数字图像处理及MATLAB实现 [M]. 北京: 电子工业出版社, 2010: 164-165)
[9] Wang S Y. Research on corrosion of metals in nature environment based on image recognition [D]. Tianjin: Tianjin University, 2009
(王守琰. 金属材料自然环境腐蚀的图像识别 [D]. 天津: 天津大学, 2009)
[10] GB/T 6461-2002, Methods for corrosion testing of metallic and other inorganic caotings on metallic substrates-rating of test specimens and manufactured articles subjected to corrosion tests [S]
(金属基体上金属和其它无机覆盖层经腐蚀实验后的试样和试件的评级 (GB/T 6461-2002) [S])
[11] Fang Z. Simple talk about the forecast theory about coating's life[J]. Paint Coat. Plat., 2005, 3(1): 3-5
(方震. 涂膜保护寿命的预测理论初探[J]. 涂料涂装与电镀, 2005, 3(1): 3-5) |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
