2008
DOI: 10.1016/j.jcrysgro.2008.01.007
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Experimental impurity segregation and numerical analysis based on variable solute distribution coefficients during multi-pass zone refining of aluminum

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Cited by 28 publications
(17 citation statements)
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“…Comparing the two model simulations with constant-and variable k for aluminium refinement, it can be concluded that using variable k in the simulation is much closer to the experimental impurity distribution profiles than the taking a constant k into account. The concentration profiles after refinement predicted by them differ from each other by two orders of magnitude in zone refining of Al with eight zone passes, and the efficiency of purification is strongly underestimated when a constant value for k is considered in simulations, which can be easily seen in Figure 11(c) [30].…”
Section: Iterative Modeling With Variable Kmentioning
confidence: 90%
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“…Comparing the two model simulations with constant-and variable k for aluminium refinement, it can be concluded that using variable k in the simulation is much closer to the experimental impurity distribution profiles than the taking a constant k into account. The concentration profiles after refinement predicted by them differ from each other by two orders of magnitude in zone refining of Al with eight zone passes, and the efficiency of purification is strongly underestimated when a constant value for k is considered in simulations, which can be easily seen in Figure 11(c) [30].…”
Section: Iterative Modeling With Variable Kmentioning
confidence: 90%
“…However, using the same simulation model, Cheung, et al [30] researched on the effects of variable k instead of constant k on the efficiency of simulations with a combination of theoretical and experimental analysis. The variable k is attained from a phase diagram database containing the variation of liquidus and solidus line slopes built according to the corresponding phase diagram, as shown in Figure 11(a).…”
Section: Iterative Modeling With Variable Kmentioning
confidence: 99%
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“…Finally, when k is close to 1, quite no purification can be achieved by fractional crystallization [20] [21] [22].…”
Section: Methodologies Of Germanium Purification and Their Principlesmentioning
confidence: 99%
“…A more realistic approach can be evaluated through the effective distribution coefficient (k eff ), shown in Equation (5) and detailed described by Burton, Prim and Slichter in their article regarding the distribution coefficients of solute elements in Germanium [22] [23]…”
Section: Methodologies Of Germanium Purification and Their Principlesmentioning
confidence: 99%