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Relevance of hindrance factors and hydrodynamic pressure gradient in the modelization of the transport of neutral solutes across nanofiltration membranes

机译:障碍因子和流体动压梯度在纳滤膜中跨纳滤质迁移模型化中的相关性

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Here we show how the usual model for the transport of neutral solutes through porous membranes, lead to equations that can be compared with the thermodynamic equations of transport. This is done in detail and paying special attention to the assumptions made that frequently have been not taken into account. This model can be used to get information on the pore size from functional data on retention and permeability. Two parameters are needed to fit experimental results of retention versus volume flow. We show the total equivalence of using the Staverman reflection coefficient and the solute permeability coefficient as parameters or the pore radius and the ratio of porosity and pore length. It is also equivalent to measure, adequate and separately, the reflection and the permeability coefficients and to evaluate from them the pore radius and the ratio of porosity versus pore length or vice versa. Moreover, the effect of the amplification of viscosity in small pores and tfie information contained in the pure water permeability are included in the model to reduce the number of required parameters to one, as for example the pore radius. We show that when the pore reflection coefficient is considered some bounds for the values of the pore hindrance factors must be accomplished for big and small molecules as compared to the pore size. Criteria to allow an election among the many expressions proposed for such hindrance factors in literature are proposed based on these requirements. An adequate consideration of pore wall friction and applied pressure gradient is shown to be very important as far as when these factors are inappropriately neglected, very significant errors appear in the prediction of performances of nanofiltration membranes, mainly for intermediate retentions.
机译:在这里,我们显示了通过多孔膜传输中性溶质的常用模型如何导致可以与传输热力学方程进行比较的方程。这是详细完成的,并且要特别注意经常没有考虑到的假设。该模型可用于从保留和渗透性的功能数据中获取孔径信息。需要两个参数来拟合保留率与体积流量的实验结果。我们展示了使用Staverman反射系数和溶质渗透系数作为参数或孔隙半径以及孔隙率与孔隙长度之比作为参数的总当量。这也等效于分别测量反射率和渗透率系数,并从中评估孔半径和孔隙率与孔长之比,反之亦然。此外,模型中包括小孔中的粘度放大效应和纯水渗透性中包含的tfie信息,以将所需参数的数量(例如,孔半径)减少到一个。我们表明,当考虑孔隙反射系数时,与孔径相比,对于大分子和小分子,必须实现孔隙障碍因子值的某些界限。基于这些要求,提出了在文献中针对此类障碍因素而提出的众多表达方式中进行选择的标准。只要适当地考虑这些因素,就必须充分考虑孔隙壁的摩擦力和施加的压力梯度,这在纳米过滤膜性能的预测中会出现非常重大的错误,主要是对于中间保留而言。

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