Prediction of first-year corrosion losses of copper and aluminum in continental regions-Reference-Cited by-同舟云学术

Prediction of first-year corrosion losses of copper and aluminum in continental regions

Published:2018 Issue:4 Volume:5 Page:624-649
ISSN:2372-0484
Container-title:AIMS Materials Science
language:en
Short-container-title:

Author:

M. Panchenko Yulia, ,I. Marshakov Andrey,A. Nikolaeva Ludmila,V. Kovtanyuk Victoria

Publisher

American Institute of Mathematical Sciences (AIMS)

Reference26 articles.

1. ISOCORRAG International Atmospheric Exposure Program: Summary of Results, ASTM Series 71, West Conshohocken, PA: ASTM International

2. Statistical analysis of 8 year materials exposure and acceptable deterioration and pollution levels, In: UN/ECE ICP on Effects on Materials, Report No

3. UN ECE ICP Materials: Dose-Response Functions on Dry and Wet Acid Deposition Effects After 8 Years of Exposure;Tidblad J, Kucera V, Mikhailov AA, et al.;Water Air Soil Poll

4. Functiones de Dano (Dosis/Respuesta) de la Corrosion Atmospherica en Iberoamerica, In: Corrosion y Proteccion de Metales en las Atmosferas de Iberoamerica, Madrid, Spain: Programma CYTED, 629–660

5. Atmospheric corrosion in Ibero-America: The MICAT project, In: Kirk WW, Lawson HH, Atmospheric corrosion, ASTM STP 1239, Philadelphia, PA: American Society for Testing and Materials, 257–275

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Corrosion Study of Aluminum 7075 Alloy in Cationic Aqueous Medium by Surface Analysis;MATERIALS TRANSACTIONS;2024-04-01
2. Corrosion resistance of structural metals depending on the sample orientation and initial exposure conditions in coastal and rural atmospheres. Part 1. Corrosivity toward structural metals at coastal and rural test sites under various exposure conditions;Corrosion Engineering, Science and Technology;2023-08-17
3. Применение алгоритма “случайный лес” для предсказаний коррозионных потерь алюминия за первый год экспозиции в различных регионах мира;Физикохимия поверхности и защита материалов;2023-01-01
4. Application of the random forest algorithm to predict the corrosion losses of carbon steel over the first year of exposure in various regions of the world;Corrosion Engineering, Science and Technology;2022-12-31
5. Evaluation of the Long-Term Corrosion Resistance of Structural Metals and Mapping the Continental Territory of the Russian Federation in Different Periods;Protection of Metals and Physical Chemistry of Surfaces;2022-12