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Two-dimensional stochastic modeling of membrane fouling

机译:膜污染的二维随机建模

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The phenomenon of fouling of microfiltration membranes by much smaller particles such as proteins is described by a new developed simulation algorithm based on diffusion limited aggregation techniques. The model specifies the membrane morphology explicityly and allows to (a) characterize the deposite morpholoy and (b) quantify the flux decline and the retention increase as a function of membrane morphology. Simulations suggest that the aggregate density above the pore opening is smaller than the aggregate density above the flat adsorption surface. The flux decline as a function of number of particles deposited shows two distinct regimes. Initially the flux decline is determined by internal fouling and membranes with the initial flux but different pore diameter show different flux decline: the membrane with the smaller pore has a more rapid flux decline. Also, the effect of membrane thickness on flux decline and retention can be distinguished. The current model is compared with macroscopic models such as the pore blocking model, cake filtration model and the internal filtration model. Finally, the paper discusses the current limitations of the algorithm and points out opportunities for model improvement to further approach experimental reality.
机译:一种新的基于扩散限制聚集技术的模拟算法描述了小得多的颗粒(如蛋白质)污染微滤膜的现象。该模型明确指定了膜的形态,并允许(a)表征沉积物的形态,(b)量化通量的下降和保留率的增加,作为膜形态的函数。模拟表明,孔开口上方的聚集体密度小于平坦吸附表面上方的聚集体密度。通量下降与沉积的颗粒数量的函数关系显示出两种不同的状态。最初,通量下降是由内部污垢决定的,具有初始通量的膜会导致通量下降,但不同的孔径显示出不同的通量下降:具有较小孔的膜的通量下降会更快。同样,可以区分膜厚度对通量下降和保留的影响。将当前模型与宏观模型进行比较,例如孔隙阻塞模型,滤饼过滤模型和内部过滤模型。最后,本文讨论了该算法的当前局限性,并指出了改进模型以进一步接近实验现实的机会。

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