Tomislav Šolić
; Mechanical Engineering Faculty in Slavonski Brod, Josip Juraj Strossmayer University of Osijek, Trg I. B. Mažuranić 2, HR-35000 Slavonski Brod, Croatia
Sara Havrlišan*
orcid.org/0000-0002-7650-0269
; Mechanical Engineering Faculty in Slavonski Brod, Josip Juraj Strossmayer University of Osijek, Trg I. B. Mažuranić 2, HR-35000 Slavonski Brod, Croatia
Dejan Marić
; Mechanical Engineering Faculty in Slavonski Brod, Josip Juraj Strossmayer University of Osijek, Trg I. B. Mažuranić 2, HR-35000 Slavonski Brod, Croatia
Ivan Samardžić
; Mechanical Engineering Faculty in Slavonski Brod, Josip Juraj Strossmayer University of Osijek, Trg I. B. Mažuranić 2, HR-35000 Slavonski Brod, Croatia
APA 6th Edition Šolić, T., Havrlišan*, S., Marić, D. i Samardžić, I. (2019). Statistical Analysis of Corrosion Process Flow. Tehnički vjesnik, 26 (6), 1738-1742. https://doi.org/10.17559/TV-20191023122613
MLA 8th Edition Šolić, Tomislav, et al. "Statistical Analysis of Corrosion Process Flow." Tehnički vjesnik, vol. 26, br. 6, 2019, str. 1738-1742. https://doi.org/10.17559/TV-20191023122613. Citirano 25.02.2021.
Chicago 17th Edition Šolić, Tomislav, Sara Havrlišan*, Dejan Marić i Ivan Samardžić. "Statistical Analysis of Corrosion Process Flow." Tehnički vjesnik 26, br. 6 (2019): 1738-1742. https://doi.org/10.17559/TV-20191023122613
Harvard Šolić, T., et al. (2019). 'Statistical Analysis of Corrosion Process Flow', Tehnički vjesnik, 26(6), str. 1738-1742. https://doi.org/10.17559/TV-20191023122613
Vancouver Šolić T, Havrlišan* S, Marić D, Samardžić I. Statistical Analysis of Corrosion Process Flow. Tehnički vjesnik [Internet]. 2019 [pristupljeno 25.02.2021.];26(6):1738-1742. https://doi.org/10.17559/TV-20191023122613
IEEE T. Šolić, S. Havrlišan*, D. Marić i I. Samardžić, "Statistical Analysis of Corrosion Process Flow", Tehnički vjesnik, vol.26, br. 6, str. 1738-1742, 2019. [Online]. https://doi.org/10.17559/TV-20191023122613
Sažetak This paper presents the results of testing two different materials in aggresive atmosphere rich in sodium chloride (NaCl) depending on different time intervals (48, 96, 168, 240 hours), in order to determine the corrosion process flow. One of the materials is general structural steel SA516 Gr.70 and the other is austenitic stainless steel X6CrNiTi18-10. The test results were statistically analyzed with the aim of obtaining statistical regression models, as well as to investigate the effect of alloying elements on the corrosion process flow. Models for predicting the corrosion process flow (mass loss) of both materials were obtained by statistical analysis and it was determined that the proportion of alloying elements influences the change in the flow. Accordingly, general structural steel is characterized by linear, while austenitic stainless steel is marked by slow corrosion process flow. This indicates that the proportion of alloying elements which improve the corrosion resistance of the material strongly affects the durability of the material in an aggressive environment.