CorWiz a Platform for Exploring Corrosion Data and Accessing Corrosion Models

Authors

DOI:

https://doi.org/10.52825/cordi.v1i.343

Keywords:

Corrosion, Platform, Data-management, Corrosion-Modeling, Stainless-Steel corrosion

Abstract

Corrosion is a major cause of material degradation and failure in various industries and applications. Damage caused by corrosion causes billions in damage each year and is a major cause of infrastructure degradation. Besides that, corrosion mechanisms, countermeasures and effects are generally not good understood. The platform CorWiz will provide an easily accessible way to corrosion research and data. 
Research data on corrosion mechanisms, rates, and prevention methods are essential for developing effective solutions and improving the performance and reliability of materials. However, corrosion research data are often scattered, inconsistent, or inaccessible, limiting their reuse and impact. Providing a more straightforward way to access available data and models has thus a significant impact on the research field and application areas. 
In the following we present the components of the minimum viable platform focusing on stainless steel corrosion.  

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References

D. Hoeche et al., “The effect of iron re-deposition on the corrosion of impurity-containing magnesium”, Phys. Chem. Chem. Phys., 2016, 18, 1279, doi: 10.1039/C5CP05577F.

D. Snihirova et al., “Galvanic corrosion of Ti6Al4V -AA2024 joints in aircraft environment: Modelling and experimental validation”, Corrosion Science Volume 157, 2019, Pages 70-78, doi: 10.1016/j.corsci.2019.04.036.

C. Kandekar et al., “A partitioned computational framework for damage evolution in stresscorrosion cracking utilizing phase-field", Proceedings in Applied Mathematics & Mechanics, 2023, doi: 10.1002/pamm.202200211.

Additional Files

Published

2023-09-07 — Updated on 2023-10-12

Versions

How to Cite

Berger, S., Ravikumar, A., Zheludkevich, M., & Hoeche, D. (2023). CorWiz a Platform for Exploring Corrosion Data and Accessing Corrosion Models . Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.343 (Original work published September 7, 2023)

Conference Proceedings Volume

Section

Poster presentations II (Call for Papers)
Received 2023-04-25
Accepted 2023-06-30
Published 2023-10-12