Optimalization of TiO2 nanotube geometry using fuzzy reasoning approach

Sylwia Sobieszczyk

Optimalization of TiO2 nanotube geometry using fuzzy reasoning approach

Abstract

The geometry of TiO2 nanotube layer on titanium, obtained by electrochemical anodization, has been determined by using fuzzy reasoning approach. A proposed method showed the possibility of nanotube array architecture optimization by choosing an appropriate anodization condition. A fuzzy logic controller (FLC) was utilized using Matlab Software.

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Sylwia Sobieszczyk dr inż.
- Rektorat ds. Studenckich
- Gdańsk University of Technology

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: Engineering of Biomaterials / Inżynieria Biomateriałów no. R. 12, pages 77 - 78,
ISSN: 1429-7248
Language:: English
Publication year:: 2009
Bibliographic description:: Sobieszczyk S.: Optimalization of TiO2 nanotube geometry using fuzzy reasoning approach// Engineering of Biomaterials / Inżynieria Biomateriałów. -Vol. R. 12., nr. nr 89-91 (2009), s.77-78
Verified by:: Gdańsk University of Technology