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Picture for Prediction of General and Localized Corrosion of Corrosion-Resistant Alloys in Aggressive Environments
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Prediction of General and Localized Corrosion of Corrosion-Resistant Alloys in Aggressive Environments

Product Number: 51319-12763-SG
Author: Ali Eslamimanesh
Publication Date: 2019
$20.00
Picture for Prediction Of The Mitigated Corrosion For Inhibitor Applications In Oil And Gas Operations
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Prediction Of The Mitigated Corrosion For Inhibitor Applications In Oil And Gas Operations

Product Number: 51321-16704-SG
Author: J. Sonke; Y. Zheng; J. Moloney
Publication Date: 2021
$20.00
Picture for Predictive Peridynamic 3D Models of Pitting Corrosion in Stainless Steel With Formation of Lacy Cove
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Predictive Peridynamic 3D Models of Pitting Corrosion in Stainless Steel With Formation of Lacy Cove

Product Number: 51319-13374-SG
Author: Siavash Jafarzadeh
Publication Date: 2019
$20.00

Pitting corrosion of stainless steel is usually in the form of localized pits growing under porous or “lacy” covers. Covered pits are hard to detect and also contribute to stable pit growth. In this study a 3D peridynamic model for pitting corrosion [12] is used to model pit growth in stainless steel with autonomous formation of lacy covers. Lacy cover formation in this model is captured by including a repassivation criterion in the anodic dissolution process based on metal cation concentration. Peridynamic corrosion formulation uses a stochastic procedure in corrosion damage evolution [3] which leads to slightly asymmetric pits and lacy covers with realistic morphology for the first time [2]. The 3D model is validated against experiments from the literature for pits grown in 904L 316L and 304L stainless steels in NaCl solutions. The results show that the model can predict the variations in the topology of lacy covers with high fidelity. They allow us to conclude on the main factors that control pitting corrosion and lacy cover formation in stainless steel. With the high-fidelity simulation of perforations in pit covers this 3D peridynamic corrosion model allows for enhanced prediction of pit growth rate and aspect ratio. The model can be used as an effective tool in safe engineering design.References[1] Jafarzadeh S. Chen Z. and Bobaru F. 2018. Peridynamic modeling of repassivation in pitting corrosion of stainless steel.CORROSION 74(4) pp. 393-414.[2] Jafarzadeh S. Chen Z. and Bobaru F. 2018. Predictive 3D peridynamic model for pitting corrosion and lacy-covers. (in preparation).[3] Chen Z. and Bobaru F. 2015. Peridynamic modeling of pitting corrosion damage.Journal of the Mechanics and Physics of Solids78 pp.352-381.AcknowledgementThis work has been supported by the ONR project “SCC: the Importance of Damage Evolution in the Layer Affected by Corrosion” (program manager William Nickerson) and by the AFOSR MURI Center for Materials Failure Prediction through Peridynamics (program managers Jaimie Tiley David Stargel Ali Sayir Fariba Fahroo). This work was completed utilizing the Holland Computing Center of the University of Nebraska which receives support from the Nebraska Research Initiative.

Picture for Preliminary Study on Al2O3 Sol-Gel Coating for Corrosion Protection of Martensitic Stainless Steel in Artificial Geothermal Water
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Preliminary Study on Al2O3 Sol-Gel Coating for Corrosion Protection of Martensitic Stainless Steel in Artificial Geothermal Water

Product Number: 51321-16777-SG
Author: Gabriela Aristia; Ralph Bäßler; Le Quynh Hoa; Marianne Nofz; Regine Sojref
Publication Date: 2021
$20.00
Picture for Preliminary Study to Characterize Concrete Durability by Water Permeation and Electrochemical Impedance Spectroscopy
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Preliminary Study to Characterize Concrete Durability by Water Permeation and Electrochemical Impedance Spectroscopy

Product Number: 51324-21167-SG
Author: Kingsley Lau; Amer Awwad; Samanbar Permeh; Atorod Azizinamini
Publication Date: 2024
$40.00