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Huang Jun,Ren Qingbo,Hu Zuqi,Liu Xun,Meng Daqiao.遗传算法优化区熔铈的再分配过程[J].稀有金属材料与工程(英文),2017,46(12):3633~3638.[Huang Jun,Ren Qingbo,Hu Zuqi,Liu Xun,Meng Daqiao.Application of a genetic algorithm to optimize redistribution process in zone refining of cerium[J].Rare Metal Materials and Engineering,2017,46(12):3633~3638.]
Application of a genetic algorithm to optimize redistribution process in zone refining of cerium
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Received:December 22, 2015  Revised:March 29, 2016
DOI:
Key words: cerium  cold crucible  zone refining  genetic algorithm  variable distribution coefficient
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Author NameAffiliation
Huang Jun  
Ren Qingbo  
Hu Zuqi  
Liu Xun  
Meng Daqiao  
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Abstract:
      In current work, commercial cerium has been zone refined by induction heating in a cold crucible against the pollution from the crucible materials. A numerical model of solute redistribution during zone refining is integrated into the genetic algorithm (GA) to search after the optimum zone length in different zone passes for increasing the redistribution efficiency of solutes, and the effect of variable distribution coefficient on purification efficiency is also considered in model. The chemical analysis results after 15 zone passes have showed that the content of Fe and Ni at center of sample bar are reduced by 50% and 90%, and the major difference of these two solutes with close effective distribution coefficient is their initial content. The main difference of experimental results and calculation results is from the instability of shorter zone during later zone passes. Experimental and calculation results show that GA is powerful tool for looking for optimum of zone lengths in zone passes, but the stability should be maintained in experiment by effective method to promote smoothly mobility of solutes in molten zone; the initial content of solutes should be kept as low as possible for getting better purification effect.