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Title: Image binarization to calculate porosity of porous anodic oxides and derivation of porosity vs current

Journal Article · · Materials Research Bulletin
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  1. Key Laboratory of Soft Chemistry and Functional Materials of Education Ministry, Nanjing University of Science and Technology, Nanjing 210094 (China)
  2. College of Elite Education, Nanjing University of Science and Technology, Nanjing 210094 (China)
  3. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444 (China)

Highlights: • A facile method based on image binarization is introduced to calculate porosity. • The method is compared with two popular methods, to show higher accuracy. • The method is tested to show robustness under different brightness and contrast. • Mathematical derivation of porosity vs current is provided. - Abstract: Current methods to calculate porosity of tubular or porous structures are either inaccurate or complicated for operation. We introduce a facile method (M7) based on image binarization of top-view specimen images from scanning electron microscopy. M7 is both accurate and convenient, and shows high robustness regardless of external parameters like brightness or contrast. Relation between porosity and applied current during galvanostatic anodization is derived. The porosity-current relation differs in aqueous and organic solution, which can be explained as different conductivity of two electrolytes.

OSTI ID:
22730384
Journal Information:
Materials Research Bulletin, Vol. 93; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0025-5408
Country of Publication:
United States
Language:
English