Optimization of Self-Organized TiO_2 Nanotube Geometry on Ti and Ti Alloys Using Fuzzy Logic Reasoning

摘要

The geometry of self-organized TiO_2 nanotubes, obtained by electrochemical anodization, has been determined by using fuzzy reasoning approach. The efficiency of TiO_2 nanotubular layer in biomedical applications depends on geometry and available surface area of nanotubes, which can be determined by their diameter and length. The structure of nanotubes depends on processing parameters of electrochemical anodization, like applied potential, anodization time, and pH of electrolyte. A proposed method showed the possibility of estimation and optimization the nanotubular architecture on Ti and Ti alloys by choosing the appropriate processing parameters based on representative experimental data. A fuzzy reasoning approach was utilized by using Matlab Software.