Arya, V. ; Gazenbiller, E. ; Reitz, R. ; Oechsner, M. ; Höche, D. (2024)
Evaluation of innovative microreactor for examination of alkoxide pitting corrosion and data generation for numerical transient model.
In: Materials Science and Engineering Technology = Materialwissenschaft und Werkstofftechnik, 2024, 55 (3)
doi: 10.26083/tuprints-00028283
Article, Secondary publication, Publisher's Version
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Item Type: | Article | ||||
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Type of entry: | Secondary publication | ||||
Title: | Evaluation of innovative microreactor for examination of alkoxide pitting corrosion and data generation for numerical transient model | ||||
Language: | English | ||||
Date: | 18 November 2024 | ||||
Place of Publication: | Darmstadt | ||||
Year of primary publication: | March 2024 | ||||
Place of primary publication: | Weinheim | ||||
Publisher: | Wiley-VCH | ||||
Journal or Publication Title: | Materials Science and Engineering Technology = Materialwissenschaft und Werkstofftechnik | ||||
Volume of the journal: | 55 | ||||
Issue Number: | 3 | ||||
DOI: | 10.26083/tuprints-00028283 | ||||
Corresponding Links: | |||||
Origin: | Secondary publication DeepGreen | ||||
Abstract: | In fuel‐bearing components, particularly in automotive applications operating at elevated temperatures, the durability of light metals is significantly influenced by their susceptibility to alkoxide corrosion. Alkoxide corrosion is characterized by its spontaneous nature and exceptionally rapid degradation of materials once initiated. This study presents an innovative high‐pressure and high‐temperature micro‐reactor, which enables precise measurements with superior sensitivity for determining the exact initiation times and reaction rates of pitting corrosion. Exemplified tests of surface roughness and water content effect on pitting initiation times were conducted and data was generated for a numerical phase field model to demonstrate the reactor capabilities. Experimental findings suggest that impurities present on both the material surface and in the fuel exhibit a significant influence on corrosivity, thereby affecting the reliability of the components. Moreover, the experimental data points have been utilized to extract the corrosion kinetics and calibrate the numerical model. The initial findings successfully demonstrate the ability to replicate corrosion kinetics and accurately represent pit morphologies and estimate reaction‐related parameters in a predictive manner. |
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Uncontrolled Keywords: | aluminium alloy, biofuel, ethanol, modelling, pitting corrosion, simulation | ||||
Status: | Publisher's Version | ||||
URN: | urn:nbn:de:tuda-tuprints-282838 | ||||
Classification DDC: | 500 Science and mathematics > 530 Physics 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
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Divisions: | 16 Department of Mechanical Engineering > Center for Engineering Materials, State Materials Testing Institute Darmstadt (MPA) Chair and Institute for Materials Technology (IfW) | ||||
Date Deposited: | 18 Nov 2024 12:11 | ||||
Last Modified: | 18 Nov 2024 12:11 | ||||
SWORD Depositor: | Deep Green | ||||
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/28283 | ||||
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