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Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach

机译:通过FFD和RSM方法对增强嵌入式纳米复合膜的助焊模型开发和合成优化

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摘要

A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax–GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R2 obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration–amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design.
机译:两级全部因子设计用于分析PSF-GO-PEBAX薄膜纳米复合膜发育的几个因素。选择渗透液作为四种可能因素的单一响应:PeBax选择性层浓度,对PeBax选择性层,PeBax-Go选择性层厚度的载荷量和去载荷的量为PSF衬底。该研究旨在通过FFD和RSM方法对抗最高渗透通量的相互作用和贡献。从ANOVA获得的R 2为0.9937,PEBAX浓度为最高贡献因子。 PEBAX浓度对PSF衬底的载荷量是贡献对最高通量的唯一相互作用。回归分析结束了模型开发研究和膜设计的优化条件。

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