The Influence of Test-Panel Orientation and Exposure Angle on the Corrosion Rate of Carbon Steel. Mathematical Modelling

Metals

Víctor Cano¹  RicardoM. Souto²  JuanJ. Santana³  HelenaC. Vasconcelos⁴ 

[1] Department of Applied Economics and Quantitative Methods, University of La Laguna, 38071 La Laguna, Tenerife, Spain;Department of Chemistry, University of La Laguna, 38200 La Laguna, Tenerife, Canary Islands, Spain;Department of Process Engineering, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Gran Canaria, Canary Islands, Spain;Faculty of Sciences and Technology, Azores University, 9500-321 Ponta Delgada, São Miguel, Azores Islands, Portugal;

关键词: atmospheric corrosion;    corrosion rates;    exposure angle;    orientation angle;    predictive models;    carbon steel;   

DOI  :  10.3390/met10020196

来源: DOAJ

【 摘 要 】

The effects of both test-panel orientation and exposure angle on the atmospheric corrosion rates of carbon steel probes exposed to a marine atmosphere were investigated. Test samples were exposed in a tree-shape metallic frame with either three exposure angles of 30°, 45° and 60° and orientation north-northeast (N-NE), or eight different orientation angles around a circumference. It was found that the experimental corrosion rates of carbon steel decreased for the specimens exposed with greater exposure angles, whereas the highest corrosion rates were found for those oriented to N-NE due to the influence of the prevailing winds. The obtained data obtained were fitted using the bi-logarithmic law and its variations as to take in account the amounts of pollutants and the time of wetness (TOW) for each particular case with somewhat good agreement, although these models failed when all the effects were considered simultaneously. In this work, we propose a new mathematical model including qualitative variables to account for the effects of both exposure and orientation angles while producing the highest quality fits. The goodness of the fit was used to determine the performance of the mathematical models.

【 授权许可】

Unknown