应用溶解扩散模型预测钴的渗透行为

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (11): 1650-1654.

应用溶解扩散模型预测钴的渗透行为

乐志东，蒯琳萍

（上海交通大学机械与动力工程学院，上海 200240）

收稿日期:2013-11-12
基金资助:
国家高技术研究发展计划(863)重点项目(2009A A050701)资助

Application of SolutionDiffusion Model in Removal of Cobalt Ions by Reverse Osmosis

YUE Zhidong，KUAI Linping

（School of Mechanical Engineering， Shanghai Jiaotong University， Shanghai 200240， China）

Received:2013-11-12

摘要/Abstract

摘要：

摘要：应用溶解扩散模型预测反渗透去除放射性废水溶液中钴的渗透行为.研究了低浓度钴离子的渗透行为，结合溶解扩散模型和物料平衡，推导出渗透分离的方程.首先通过拟合较高浓度钴离子渗透的实验数据，求得模型的相关参数，然后针对较低浓度钴离子的渗透实验数据，与模型预测数据进行对比.结果显示，实验数据与模拟数据相对误差不超过15%，该溶解扩散模型可以很好地预测较低钴离子浓度下的渗透行为.

关键词: 反渗透, 钴离子, 溶解扩散模型

Abstract:

Abstract： The solution-diffusion model was used to predict the behavior of reverse osmosis membrane,when used for the removal of cobalt from radioactive wastewater.System mass balances together with solutiondiffusionmass transfer models were used to simulate the separation process of low concentrations of cobalt.Model equation constants were obtained when the cobalt concentration was high, and the experimental data were then compared with simulated data when the cobalt concentration was low. The results show that the relative error between experimental data and simulated data does not exceed 15%. Good agreement between the experimental and the predicted cobalt concentrations suggests that the solutiondiffusion model can be used to well predict osmotic concentration even when the concentration of cobalt is low.
Key words：

Key words: reverse osmosis, cobalt ions, solution-diffusion model

中图分类号:

TL 941.19

乐志东，蒯琳萍. 应用溶解扩散模型预测钴的渗透行为[J]. 上海交通大学学报（自然版）, 2014, 48(11): 1650-1654.

YUE Zhidong，KUAI Linping. Application of SolutionDiffusion Model in Removal of Cobalt Ions by Reverse Osmosis[J]. Journal of Shanghai Jiaotong University, 2014, 48(11): 1650-1654.

参考文献

［1］ZakrzewskaTrznadel G. Advances in membrane technologies for the treatment of liquid radioactive waste［J］. Desalination，2013，321(1)：119130.

［2］Ambashta R D, Sillanp M E T. Membrane purification in radioactive waste management: a short review［J］. Journal of Environmental Radioactivity，2012，105(1)：7684.

［3］孙东辉,韦葵子,杨沐.GB 9133—1995放射性废物分类［S］. 1995.

［4］Chmielewski A G, Harasimowicz M. Influence of gamma and electron irradiation on transport properties of nanofiltration and hyperfiltration membranes［J］. NukleonikaOriginal Edition，1997，42(1)：857862.

［5］Lin S H, Huang C U, Cheng M J. Optimization of multistage phenol adsorption by organobentonites: Theoretical developments and experimental verification［J］. Environmental Technology，2002，23(6)： 609622.

［6］Yaroshchuk A, MartínezLladó X, Llenas L, et al. Solutiondiffusionfilm model for the description of pressuredriven transmembrane transfer of electrolyte mixtures: One dominant salt and trace ions［J］. Journal of Membrane Science，2011，368(1)：192201.

［7］Hidalgo A M, León G, Gómez M, et al. Application of the solutiondiffusion model for the removal of atrazine using a nanofiltration membrane［J］. Desalination and Water Treatment，2013，51(1012)：22442252.

［8］Hung P V X, Cho S H, Moon S H. Prediction of boron transport through seawater reverse osmosis membranes using solutiondiffusion model［J］. Desalination，2009，247(1)：3344.

［9］Kesting R E. The four tiers of structure in integrally skinned phase inversion membranes and their relevance to the various separation regimes［J］. Journal of Applied Polymer Science, 1990, 41(1112)：27392752.