物理化学学报 >> 2015, Vol. 31 >> Issue (Suppl): 69-74.doi: 10.3866/PKU.WHXB2014Ac09

研究论文 上一篇    下一篇

金属钚区熔提纯过程中的溶质再分布优化

黄俊1,2, 任清波1, 许刚1, 刘勋1, 蒙大桥1   

  1. 1 中国工程物理研究院材料研究所, 四川绵阳621900;
    2 清华大学工程物理系, 北京100084
  • 发布日期:2015-05-20
  • 通讯作者: 蒙大桥 E-mail:huangjun1@caep.cn

Numerical Optimization of Redistribution of Solute in Plutonium Metal during Zone Refining

HUANG Jun1,2, REN Qing-Bo1, XU Gang1, LIU Xun1, MENG Da-Qiao1   

  1. 1 Institute of Materials, China Academy of Engineering Physics, Mianyang 621900, Sichuan Province, P. R. China;
    2 Institute of Engineering Physics, Tsinghua University, Beijing 100084, P. R. China
  • Published:2015-05-20
  • Contact: MENG Da-Qiao E-mail:huangjun1@caep.cn

摘要:

基于多次区熔过程中的溶质分布模型, 以试棒中部杂质去除最大化为目标, 采用源于生物进化理论的遗传算法优化计算金属钚多次区熔过程中的熔区长度, 最后采用优化的熔区长度计算多次区熔后试棒中的溶质再分布. 计算结果表明, 相对于固定的熔区长度, 优化区熔长度条件下杂质分离效果明显提高; 采用优化的区熔长度, 15次区熔提纯后在试棒中部80%部分可获得相对较低的溶质含量.

关键词: 溶质分布模型, 遗传算法, 优化, 熔区长度, 溶质再分配

Abstract:

Based on the redistribution model of solutes for multi-zone refining, zone lengths were optimized to minimize the content of solute in the middle of the sample using a genetic algorithm from biological evolutionary theory. The redistribution of solute in the sample during multi-zone refining was computed with the optimized zone length and a constant zone length. The calculation results showed that the efficiency of zone refining with the optimized zone length was significantly better than that with the constant zone length. A low impurity concentration in the 80% part of the middle sample can be achieved after 15 passes of zone refining using the optimized zone lengths.

Key words: Redistribution model of solute, Genetic algorithm, Optimization, Molten zone length, Redistribution of solute

MSC2000: 

  • O641