2016
DOI: 10.1007/s11661-016-3610-8
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Numerical Study of Microstructural Evolution During Homogenization of Al-Si-Mg-Fe-Mn Alloys

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Cited by 16 publications
(5 citation statements)
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“…This work is concerned with the precipitation of dispersoids with sizes of 20 to 100 nm which occurs over several hours during heating and the hold at the homogenization temperature. The radius and volume fraction of dispersoids plays an important role on the high temperature flow stress [5], the inhibition of recrystallization during and after extrusion (via Zener drag) [6] and the quench sensitivity of the alloys [7][8][9].…”
mentioning
confidence: 99%
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“…This work is concerned with the precipitation of dispersoids with sizes of 20 to 100 nm which occurs over several hours during heating and the hold at the homogenization temperature. The radius and volume fraction of dispersoids plays an important role on the high temperature flow stress [5], the inhibition of recrystallization during and after extrusion (via Zener drag) [6] and the quench sensitivity of the alloys [7][8][9].…”
mentioning
confidence: 99%
“…Later, Cai et al developed a model to predict the solute distribution after solidification using a multicomponent Scheil model and then rationalized the spatial distribution of dispersoid precipitation based on the local chemical driving force [2]. Recently, Priya et al developed a 2D finite volume-celluar automaton model to simulate microstructure changes as the secondary dendrite arm spacing (SDAS) length scale and 1D finite difference model for the precipitation of Mg2Si during cooling [9]. In addition, Du et al developed a CALPHAD based homogenization model to predict dispersoid evolution for quaternary Al-Mn-Fe-Si alloys [17].…”
mentioning
confidence: 99%
“…compositional changes of the constituents as well as the formation of dispersoids, was aided by simulations with a statistical precipitation model termed ClaNG, which relies on the Kampmann–Wagner methodology for computing nucleation, growth and dissolution of second-phase particles using multi-component thermodynamics (Ref. [40], see also [24,26,27,49]). In order to determine the microchemistry evolution along a given process chain with the ClaNG model, the underlying time/temperature profile—here the time/temperature history of the homogenisation cycles—is input into the model.…”
Section: Discussionmentioning
confidence: 99%
“…They found that a multimodal Mg 2 Si particle size distribution develops during homogenization cooling. A diffusion model was also developed by Priya et al [15], to study dissolution during homogenization holding as well as precipitation during homogenization cooling. Finally, Sarafoglou et al [5] developed a CALPHAD-based dual-grain model to consider the inhomogeneous grain size on homogenization holding and homogenization cooling.…”
Section: Introductionmentioning
confidence: 99%