Madrigal-Cano, M.; Hernández-Maya, L.; Hallen, J.M.; Corrales-Luna, M.; Arce-Estrada, E.M.; Le Manh, T. Model for the Correlation between Anodic Dissolution Resistance and Crystallographic Texture in Pipeline Steels. Materials2018, 11, 1432.
Madrigal-Cano, M.; Hernández-Maya, L.; Hallen, J.M.; Corrales-Luna, M.; Arce-Estrada, E.M.; Le Manh, T. Model for the Correlation between Anodic Dissolution Resistance and Crystallographic Texture in Pipeline Steels. Materials 2018, 11, 1432.
Madrigal-Cano, M.; Hernández-Maya, L.; Hallen, J.M.; Corrales-Luna, M.; Arce-Estrada, E.M.; Le Manh, T. Model for the Correlation between Anodic Dissolution Resistance and Crystallographic Texture in Pipeline Steels. Materials2018, 11, 1432.
Madrigal-Cano, M.; Hernández-Maya, L.; Hallen, J.M.; Corrales-Luna, M.; Arce-Estrada, E.M.; Le Manh, T. Model for the Correlation between Anodic Dissolution Resistance and Crystallographic Texture in Pipeline Steels. Materials 2018, 11, 1432.
Abstract
The present work shows a novel physical-mathematical model to estimate the average corrosion resistance index from the crystallographic texture in API 5L steels. The crystallographic texture of the studied steels was measured by means of the X-ray diffraction technique. The model, based on the symmetric spherical surface harmonics for a BCC structure, is capable of describing the anisotropy surface of anodic dissolution resistance of the crystal and establishing a straightforward relationship between crystallographic texture, surface roughness, and metal corrosion behavior. The predictions of the average corrosion resistance index made from the crystallographic texture were in good agreement with those obtained from potentiodynamic polarization curves for the investigated steels. This agreement validates the capacity of this model and opens the possibility of applying it as a novel criterion for the material selection and design stages in order to combat metal corrosion problems.
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