Modeling of heterogeneous site energy distributions in precipitate nucleation

Abstract The simulation of heat changes resulting from phase transitions can help to interpret differential scanning calorimetry (DSC) measurements, e.g. metallic alloy systems in which multiple reactions overlap during non-isothermal treatments. So far, simulated DSC curves mostly exhibit sharp reaction peaks as commonly just one mean energy value for a certain type nucleation site is assumed. This work proposes an efficient model treating heterogeneous variations within the framework classical theory (CNT). energies are assumed vary according Rayleigh distribution and scaling function. effect on behavior precipitates studied. A consideration has potential significantly smoothen numerical treatment precipitation processes compared non-distributed case. comparison previously published simulations cooling AA6005 aluminum demonstrates advantages this extension, especially slow rates.