1. Dušan Petković, Универзитет у Нишу, Машински факултет, Serbia
2. Горан Раденковић, Универзитет у Нишу, Машински факултет, Serbia
3. Vladislav Blagojević, Универзитет у Нишу, Машински факултет, Serbia
4. Predrag Živković, Универзитет у Нишу, Машински факултет, Serbia
5. Ivan Ćirić, Универзитет у Нишу, Машински факултет, Serbia
Passivation of a biomedical grade 316L stainless steel by mean of nitric acid treatment was used to improve a protective oxide layer on the surface and to increase resistance to pitting corrosion in physiological solution. Both regression analysis and genetic algorithm were employed to reveal the effects of operating parameters of the nitric acid passivation (HNO3 concentration, temperature and passivation period) on the corrosion resistance of 316L stainless steel in Hank’s solution. The experiment designed as full factorial with three factors and three levels. The responses were the pitting potential values (Ep) obtained from potentiodynamic tests. Mathematical model was determined by using regression analysis. According to the model, the effects of each variable and interactions between them were calculated. Optimal intervals of the parameters were estimated by mean of genetic algorithm.
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14.02.2013.
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