带附加供料离心净化级联的优化

摘要

The trace amount of impurities can be eliminated by feeding additional flow into centrifuge cascade.To maximize the separation ability and economic efficiency of a cascade,the optimization is necessary.Based on the practical hydraulic model of centrifuge cascade and relevant experimental results,selecting cascade length,centrifuge number and control pressure of each stage,and flow amount of additional feed as the optimization variables,the optimization of centrifuge purge cascade was accomplished by bit coded genetic algorithm to minimize the total number of centrifuges employed.Two cases,including the purification of 99Tc from low enriched recycled uranium and scrubbing of impurities in the production of high-purity WF6,were studied to validate the viability of this optimization method.Calculation results show that the bit coded genetic algorithm can effectively solve the optimization of centrifuge purge cascade with a relatively strong feasibility.%通过向离心级联附供载荷气体实现微量杂质的净化时,为充分发挥级联性能,提升级联经济性,需对带附加供料离心净化级联进行优化.本文根据现有离心机模型和相关单机实验结果,以级联总离心机数最少为优化目标,以级联长度、各级离心机数和重馏分压强及载荷气体供料量为优化变量,利用二进制编码遗传算法完成了离心净化级联的优化计算,并通过回收铀浓缩产品中99Tc的去除和高纯WF6制备中杂质的净化两个算例的计算验证了优化算法的适用性.计算结果表明,遗传算法可有效地求解离心净化级联的优化问题,具有较好的适用性.