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首页> 外文期刊>International Communications in Heat and Mass Transfer >Unsteady conjugate model of fluid mechanics and mass transfer for butanol pervaporation process by non-porous membrane
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Unsteady conjugate model of fluid mechanics and mass transfer for butanol pervaporation process by non-porous membrane

机译:非多孔膜丁醇鸟类散热过程流体力学和传质的不稳定共轭模型

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A diffusion-convective mass transfer mathematical conjugated model of butanol recovery from a re-circulating aqueous solution by pervaporation using a polydimethylsiloxane (PDMS) membrane was developed based on computational fluid dynamics. Discretized continuity, linear momentum, and convective-diffusion mass transfer equations were solved by an in-house code based on the finite volume method for a laminar flow with a flat attached non-porous membrane. In addition, a novel numerical procedure to determine the butanol diffusivity in the PDMS membrane was developed based on the solution of the conjugate unsteady convection-diffusion model that included five coupled partial differential equations. The evolution of the distribution of the velocity profile in the fluid flow and the transient variation of butanol concentration in the feed solution and inside the PDMS membrane were determined. Variations in time and space of the dimensionless mass flux along the length of the pervaporation module were calculated from the conjugate convection-diffusion mass transfer model. The numerical predictions of the butanol mass flux in the feed solution exhibited good agreement with the experimental results with an error smaller than 3%. Understanding the mechanisms of mass and fluid transport phenomena by computational modeling can be helpful for improving the design of pervaporation processes.
机译:基于计算流体动力学,开发了通过使用聚二甲基硅氧烷(PDMS)膜的再循环水溶液从重新循环水溶液中回收丁醇回收的扩散 - 对流传质数学缀合模型。基于具有平坦的无孔膜的层流的有限体积法,通过内部码来解决离散的连续性,线性动量和对流 - 扩散传质传质传质。此外,基于包括五个耦合的部分微分方程的共轭非定常对流扩散模型的溶液,开发了一种新的数值方法以确定PDMS膜中的丁醇扩散率。测定流体流动中的速度分布的速度分布和饲料溶液中丁醇浓度的瞬态变化的演变和PDMS膜内的瞬态变化。根据缀合物模块的长度的时间和空间的变化,从缀合物对流扩散传质传质模型计算。饲料溶液中丁醇质量通量的数值预测表现出良好的一致性与小于3%的误差的实验结果。理解通过计算建模的质量和流体运输现象的机制可能有助于改善普及散发过程的设计。

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