研究建立了1座采用蒸馏水减压精馏分离稳定同位素18O的实验装置,其填料层高20 m,塔径为0.1m,塔内装填自主开发的PAC-18O专用填料.首先利用Aspen Plus建立模型并验证其可靠性,然后利用此模型得出1组模拟数据,并利用人工神经网络(ANN)及Statistica软件对这组模拟数据进行优化设计.综合分析了塔顶压力及产品采出量对18O产品丰度的影响.结果表明,产品18O的丰度随塔顶压力和产品采出量的降低而升高,并得出最优化的塔压及18O丰度与产品采出量间的数学关联式.本研究采用的模拟优化方法可应用到18O的产业化设计及推广至传统精馏过程的优化设计中.%In the research, a stable isotope 18O separation column was set up by water vacuum distillation with 20 m packing height and 0. 1 m diameter of the column. The self-developed special packing named PAC-18O was packed inside the column. Firstly, a model was created by using the Aspen Plus software, and then the simulation results were validated by test results. Secondly, a group of simulation results were created by Aspen Plus, and the optimal operation conditions were gotten by using the artificial neural network (ANN) and Statistica software. Considering comprehensive factors drawn from column pressure and from withdrawing velocity, conclusions were reached on the study of the impact on the abundance of the isotope I8O. The final results show that the abundance of the isotope 18O increases as column pressure dropping and withdrawing velocity decreasing. Besides, the optimal column pressure and the incidence formula between the abundance of the isotope 18O and withdrawing velocity were gotten. The conclusion is that the method of simulation and optimization can be applied to 18O industrial design and will be popular in traditional distillation process to realize optimization design.
展开▼
