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Mathematical model of variable volume diafiltration with time dependent water adding

机译:随时间变化的变水渗滤数学模型

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Purpose - The purpose of this paper is to introduce a mathematical model, an algorithm and numerical procedure for determining the duration of a diafiltration process with variable volume. This model should decrease diafiltration time and water usage.rnDesign/methodology/approach - A mathematical model of a diafiltration process, with constant water adding is considered, as well as the relationships between macro- and micro-solute and the equation for process duration. By introducing α(t) = Q_D/Q_F, i.e. time dependent ratio of diafiltration water flow and filtrate flow rate, a mathematical model of diafiltration process with time dependent water adding is proposed. In order to solve this model, an algorithm is suggested, based on the simulation of single time dependent water adding process with a sequence of constant water adding processes. The algorithm is applied for developing both a numerical procedure and simple QBASIC-program that are tested on one illustrative example.rnFindings - The results obtained by the algorithm improve the diafiltration process time around 10 percent and are a step towards finding an optimal dependence function α(t). Research limitations/implications - Further on, the analysis of water usage in variable volume diafiltration needs to be done. Also, the problem of finding the optimal α(t) is still open. Practical implications - The suggested algorithm is applicable to various membrane filtration processes and can be applied with little modification of the existing filtration equitment. Originality/value - This paper is the first to view ALFA as a continuous function of time. Previous authors have considered step functions but never used this general approach.
机译:目的-本文的目的是介绍一种数学模型,一种算法和一种数值程序,用于确定变容渗滤过程的持续时间。该模型应减少渗滤时间和用水量。设计/方法/方法-考虑渗滤过程的数学模型,其中不断添加水,以及宏观和微观溶质之间的关系以及过程持续时间的方程式。通过引入α(t)= Q_D / Q_F,即渗滤水流量与滤液流量的时间相关比率,提出了一种渗滤过程随时间变化的数学模型。为了解决该模型,提出了一种算法,该算法基于对单个时间相关的加水过程和一系列恒定加水过程的仿真。该算法适用于开发数值过程和简单的QBASIC程序,并在一个说明性示例上进行了测试。rnFindings-通过该算法获得的结果将渗滤过程的时间缩短了约10%,这是找到最佳依赖函数α的一步(t)。研究的局限性/意义-进一步,需要对可变体积渗滤中的用水量进行分析。而且,寻找最优α(t)的问题仍然存在。实际意义-所建议的算法适用于各种膜过滤工艺,并且可以在不对现有过滤设备进行任何修改的情况下应用。原创性/价值-本文首次将ALFA视为时间的连续函数。先前的作者已经考虑了阶跃函数,但从未使用过这种通用方法。

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