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Optimization of Self-Organized TiO2 Nanotube Geometry on Ti and Ti Alloys Using Fuzzy Logic Reasoning
Abstract
The geometry of self-organized TiO2 nanotubes, obtained by electrochemicalanodization, has been determined by using fuzzy reasoning approach. The efficiency of TiO2nanotubular layer in biomedical applications depends on geometry and available surface area ofnanotubes, which can be determined by their diameter and length. The structure of nanotubesdepends on processing parameters of electrochemical anodization, like applied potential,anodization time, and pH of electrolyte. A proposed method showed the possibility of estimationand optimization the nanotubular architecture on Ti and Ti alloys by choosing the appropriateprocessing parameters based on representative experimental data. A fuzzy reasoning approach wasutilized by using Matlab Software.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
-
Solid State Phenomena
no. 183,
pages 175 - 178,
ISSN: 1012-0394 - Title of issue:
- Solid State Phenomena. strony 175 - 178
- Language:
- English
- Publication year:
- 2012
- Bibliographic description:
- Sobieszczyk S..: Optimization of Self-Organized TiO2 Nanotube Geometry on Ti and Ti Alloys Using Fuzzy Logic Reasoning, W: Solid State Phenomena., 2012, ,.
- Verified by:
- Gdańsk University of Technology
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