<div class="csl-bib-body">
<div class="csl-entry">Kahlenberg, R., Falkinger, G., Milkereit, B., & Kozeschnik, E. (2023). Modeling of heterogeneous site energy distributions in precipitate nucleation. <i>Modelling and Simulation in Materials Science and Engineering</i>, <i>31</i>(8), Article 085003. https://doi.org/10.1088/1361-651X/acf512</div>
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dc.identifier.issn
0965-0393
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189394
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dc.description.abstract
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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dc.description.sponsorship
Materials Center Leoben Forschungs
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dc.language.iso
en
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dc.publisher
IOP Publishing
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dc.relation.ispartof
Modelling and Simulation in Materials Science and Engineering
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
heterogeneous nucleation
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dc.subject
differential scanning calorimetry
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dc.subject
aluminum alloy
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dc.title
Modeling of heterogeneous site energy distributions in precipitate nucleation