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鉴于传统的实验数据优化方法求解溶液热力学模型参数较为困难且效果较差,本文应用人工鱼群算法(AFSA)估算溶液热力学模型参数。采用Java软件编制AFSA下的正规溶液模型、分子相互作用体积模型(M]VM)的模型参数Ω_(ij)、B_(ij)和B_(ij)值的计算程序,以平均偏差S最小作为优化目标,求解了Cd-Zn、Ag-Pb、Bi-Tl、Pb-Sb和In-Sn等分属于强正、弱正、强负、弱负和混合偏差五种类型的真空蒸馏常见的二元合金体系的模型参数,并比较算法优化前后的活度系数预测值和文献值之间的差异。结果表明:AFSA优化后模型的拟合效果均有不同程度的提高,即该算法可合理有效地求解正规溶液模型的参数Ω_(ij)和MIVM的参数B_(ij)和B_(ij)值,提高其在二元合金体系中的适用程度。
In view of the traditional experimental data optimization method to solve the parameters of the solution thermodynamic model is more difficult and less effective, the Artificial Fish Swarm Algorithm (AFSA) to estimate the parameters of the solution thermodynamic model. Using Java software to formulate the formal solution model of AFSA and calculate the model parameters Ω_ (ij), B_ (ij) and B_ (ij) of the molecular interaction volume model (M VM), the average deviation S min is taken as the optimization Target, solving five common binary components of vacuum distillation such as strong positive, weak positive, strong negative, weak negative and mixed deviation of Cd-Zn, Ag-Pb, Bi-Tl, Pb-Sb and In- The model parameters of the alloy system are compared and the difference between the predicted value of the activity coefficient before and after optimization and the literature value is compared. The results show that the fitting results of the AFSA model are improved to some extent. That is, the algorithm can solve the parameters of the normal solution model Ω_ (ij) and MIVM parameters B_ (ij) and B_ (ij) Improve its application in the binary alloy system.