...
首页> 外文期刊>Chemical engineering journal >Separation of binary heavy metals from aqueous solutions by nanofiltration and characterization of the membrane using Spiegler-Kedem model
【24h】

Separation of binary heavy metals from aqueous solutions by nanofiltration and characterization of the membrane using Spiegler-Kedem model

机译:通过纳滤分离水溶液中的二元重金属并使用Spiegler-Kedem模型表征膜

获取原文
获取原文并翻译 | 示例
           

摘要

Heavy metals are important sources of environmental pollution and are non-degradable, and therefore, continue to exist in water. Membrane technology is one option for the separation of heavy metals from wastewater without generating any pollution load. This paper presents the binary heavy metals (cadmium and nickel) separation capability of a commercial nanofiltration membrane from aqueous solutions. The influence of applied pressure, feed solute concentration, feed flowrate, feed pH and nature of anion on the retention of cadmium and nickel ions is studied. It is observed that the rejection increases with increase in feed pressure and decreases with increase in feed concentration at constant feed flowrate. The maximum observed solute rejection of nickel and cadmium ions are 98.94% and 82.69%, respectively, for an initial feed concentration of 5 ppm. The NF membrane is characterized by using the Spiegler-Kedem model based on irreversible thermodynamics coupled with film theory. Boundary layer thicknesses, as well as the membrane transport parameters are estimated by using the Levenberg-Marquardt method. The estimated parameters are used to predict the membrane performance and found that the predicted values are in good agreement with the experimental results.
机译:重金属是环境污染的重要来源,并且不可降解,因此,水中仍然存在。膜技术是从废水中分离重金属而不产生任何污染负荷的一种选择。本文介绍了商用纳米过滤膜从水溶液中的二元重金属(镉和镍)分离能力。研究了施加压力,进料溶质浓度,进料流速,进料pH值和阴离子性质对镉和镍离子保留的影响。观察到在恒定的进料流速下,拒绝率随进料压力的增加而增加,随进料浓度的增加而降低。初始进料浓度为5 ppm时,观察到的最大的镍和镉离子溶质截留率分别为98.94%和82.69%。通过使用基于不可逆热力学和薄膜理论的Spiegler-Kedem模型来表征NF膜。使用Levenberg-Marquardt方法估算边界层厚度以及膜传输参数。估计的参数用于预测膜性能,发现预测值与实验结果非常吻合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号