Method for Predicting the Durability of Protective Coatings Based on Recycled Waste from the Chemical Industry According to Art. 3
O. N. Shevchenko, S. I. Sokhina
Donbas National Academy of Civil Engineering and Architecture
Abstract: It has been proposed a method for calculating the failure time of a protective coating for metal using a full factorial experiment, determining a function that optimally describes the generalized indicator of the quality of a protective coating (Az) in time, and identifying the lifetime of the coating on this basis. The resulting mathematical models describe with a sufficient degree of accuracy the change in the protective properties of coatings over time and make it possible to predict their lifetime. At the same time, the correlation coefficient for modified compositions based on indene-coumarone resins varies within the limits of: R = 0.979…0.999; so = 0.02…0.03; for compositions based on cubic residues of the production of synthetic fatty acids of the C-20 fraction and higher, the correlation becomes significant according to the Fisher criterion for a test period of more than 29 days: F = 3.74 – 85: R = 0.83…0.94; so = 0.03…0.05.
Keywords: prediction of coating lifetime, corrosion damage, reliability, durability, calculation-theoretical method, models of corrosion elements, industrial waste disposal, anti-corrosion protective coatings, accelerated tests.
Pages: 148-153.
Link for citation: Shevchenko, O. N.; Sokhina, S. I. Method for Predicting the Durability of Protective Coatings Based on Recycled Waste from the Chemical Industry According to Art. 3. – Text : electronic. – In: Proceeding of the Donbas National Academy of Civil Engineering and Architecture. – 2022. – Issue 2022-1(153) Modern building materials. – Р. 148-153. – URL: https://donnasa.ru/publish_house/journals/vestnik/2022/2022-1(153)/st_21_schevchenko_sohina.pdf (date of access: 15.10.2024). (in Russian)
Issue 2022-1 (153)Journal: Proceeding of the Donbas National Academy of Civil Engineering and Architecture
Publish house: Donbas National Academy of Civil Engineering and Architecture