journal article·2025-07Open access

Thermokinetic Modeling Approach for Aluminide Diffusion Coatings on Molybdenum Substrates

Jurica Filipovic, Katharina Beck, Christian Kontermann, Mathias Galetz, Matthias Oechsner

Advanced Engineering Materials· Volume 27· Issue 13

Abstract

A model structure is developed to simulate and estimate thermokinetic processes in molybdenum coated with an aluminide diffusion layer at high temperatures. The model utilizes thermodynamic and kinetic titanium databases from Thermo‐Calc Software and custom Python code to calculate diffusion coefficients, diffusion fluxes, and resulting phase and concentration profiles. Additionally, the model is optimized by modifying the calculation strategy and database to reduce computational resource requirements. Given the success of this approach, it is anticipated that it can be applied to more complex coating‐based material combinations in the future, enabling the characterization of their thermokinetic interactions and potential impacts on the material system load capacity under various loading conditions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Intermetallics and Advanced Alloy Properties · High-Temperature Coating Behaviors · nanoparticles nucleation surface interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department and Institute of Materials Science (IfW) Technical University of Darmstadt Grafenstrasse 2 64283 Darmstadt Germany

Materials and Corrosion Division DECHEMA Forschungsinstitut (DFI) Theodor‐Heuss‐Allee 25 60486 Frankfurt am Main Germany

Department of Engineering Trier University of Applied Sciences Schneidershof 54293 Trier Germany

Funding

Deutsche Forschungsgemeinschaft

References (20)

Show source-provided references
1. 10.1016/j.jeurceramsoc.2015.12.00610.1016/j.jeurceramsoc.2015.12.006 ↗
2. 10.3390/coatings1310171210.3390/coatings13101712 ↗
3. 10.1016/j.surfcoat.2023.13020510.1016/j.surfcoat.2023.130205 ↗
4. 10.1016/j.intermet.2018.10.02810.1016/j.intermet.2018.10.028 ↗
5. 10.1016/j.corsci.2022.11056610.1016/j.corsci.2022.110566 ↗
6. 10.1016/j.mtcomm.2024.11002410.1016/j.mtcomm.2024.110024 ↗
7. 10.1016/j.ijrmhm.2024.10683110.1016/j.ijrmhm.2024.106831 ↗
8. 10.1016/j.surfcoat.2021.12803710.1016/j.surfcoat.2021.128037 ↗
9. 10.1007/s11085-016-9650-z10.1007/s11085-016-9650-z ↗
10. 10.1016/j.actamat.2006.01.02010.1016/j.actamat.2006.01.020 ↗
11. 10.1016/j.actamat.2005.10.02210.1016/j.actamat.2005.10.022 ↗
12. 10.1179/0960340914Z.0000000006310.1179/0960340914Z.00000000063 ↗
13. 10.1016/j.actamat.2008.06.01010.1016/j.actamat.2008.06.010 ↗
14. 10.1016/0001-6160(67)90173-310.1016/0001-6160(67)90173-3 ↗
15. 10.1149/1.242998010.1149/1.2429980 ↗
16. 10.1016/j.jnucmat.2020.15233710.1016/j.jnucmat.2020.152337 ↗
17. 10.4028/www.scientific.net/DDF.272.5110.4028/www.scientific.net/DDF.272.51 ↗
18. Darken L. S. · Trans. AIME · 1948 · 175 · 184
19. 10.1016/j.actamat.2005.04.04610.1016/j.actamat.2005.04.046 ↗
20. 10.1016/0921-5093(89)90731-410.1016/0921-5093(89)90731-4 ↗