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The use of Photoshop software to estimate the adhesion and rust‐resistant properties of coating film
Author(s) -
Zhao Yongchao,
Wang Jiangang,
Cui Xuejun,
Wang Hongyan
Publication year - 2011
Publication title -
surface and interface analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 90
eISSN - 1096-9918
pISSN - 0142-2421
DOI - 10.1002/sia.3653
Subject(s) - calipers , coating , software , rust (programming language) , adhesion , scanner , pixel , materials science , computer graphics (images) , computer science , mathematics , composite material , artificial intelligence , geometry , operating system , programming language
A new method for evaluating the adhesion and rust‐resistant properties of coating film is proposed and validated by Photoshop software. A color scanner and Photoshop processing software are used to scan coatings film and analyze images by this method. The percentage of film area removed calculated by pixels is used to classify adhesion of the cross‐cut test ASTM D3359. The area removed is measured by using the functions of area selection and histogram in Photoshop software. The adhesion of 14 samples about standard classification pictures of crosscut adhesion test of ASTM D3359‐02 and self‐made samples, are classified. The percent area removed given by ASTM standard and the percent pixels removed measured by Photoshop is correlated, with the correlation coefficient being 0.997. On the other hand, the rusty areas of regular and irregular graphics are quantitatively determined using $A' = {X'\over X}\times A$ to estimate the rust resistant properties. The determining error of rusty areas compared with the vernier caliper is under 3.0%. Quantitative evaluation for extent of corrosion of the coating is realized. The method is more scientific and specific than the present method of that evaluated by the human mind. Copyright © 2010 John Wiley & Sons, Ltd.