摘要
本工作利用已有的四塔级联设计方案,通过采用均匀设计方法对操作参数进行优化,并利用二项式逐步回归求取模型方程,同时利用遗传算法对模型进行了优化设计,综合分析了不同进料量及级间流量对18 O产品丰度的影响,得到产品18 O的丰度与进料量及级间流量和热量消耗与进料量及级间流量的数学关系式,并得出进料量与级间流量的单因素响应图。本研究采用的模拟优化方法可应用到18 O的产业化生产及推广至传统精馏过程的优化设计中。
The research about started from the plan of four cascade towers desgin was carried. Firstly, the method of experiment design was using uniform design. Then the incidence formula with the method of binomial stepwise regression was gotten. Last, the optimal operation conditions were gotten by using the method of genetic algorithm. Considering comprehensive factors of drawn from feed rate and from flow rates between cascade column, conclusions were reached on the study of the impact on the abundance of the isotope 180. Finally, the incidence formula between the abundance of the isotope 180 and four operating variables were gotten. Also the incidence formula between heat consumption of the isotope 180 and four operating variables were gotten. Besides, single factor response diagram of four factors were shown at last. The results showed that the method of simulation and optimization could be applied to 180 industrial design and would be popular in traditional distillation process to realize optimization design.
出处
《同位素》
CAS
2011年第B12期102-105,共4页
Journal of Isotopes
基金
上海市火炬计划项目资助(09HJC006200)
作者简介
姜永悦（1979-），男，吉林人，工程师，化学工程专业
