Kahlenberg, R., Falkinger, G., Milkereit, B., & Kozeschnik, E. (2023). Modeling of heterogeneous site energy distributions in precipitate nucleation. Modelling and Simulation in Materials Science and Engineering, 31(8), Article 085003. https://doi.org/10.1088/1361-651X/acf512
The simulation of heat changes resulting from phase transitions can help to interpret differential scanning calorimetry (DSC) measurements, e.g. of metal- lic alloy systems in which multiple reactions overlap during non-isothermal heat treatments. So far, simulated DSC curves mostly exhibit sharp reaction peaks as commonly just one mean energy value for a certain type of nucleation site is assumed. This work proposes an efficient model for treating hetero- geneous nucleation site energy variations within the framework of classical nucleation theory (CNT). The site energies are assumed to vary according to a Rayleigh distribution and a scaling function. The effect on the nucleation behaviorofprecipitatesisstudied.Aconsiderationofthedistributionofhetero- geneous site energies has the potential to significantly smoothen the numerical treatment of precipitation processes compared to the non-distributed case. The comparison to previously published simulations of DSC curves during the cooling of an AA6005 aluminum alloy demonstrates the advantages of this extension, especially for slow cooling rates.
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Research facilities:
Universitäre Service-Einrichtung für Transmissionselektronenmikroskopie
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Project title:
Yield Strength Evolution along the Process Chain of selected Al Alloys (AlYield): MCL p3.19 (Materials Center Leoben Forschungs)