Optimization of preparation conditions for polydimethylsiloxane (PDMS)/ceramic composite pervaporation membranes using response surface methodology
Optimization of preparation conditions for polydimethylsiloxane (PDMS)/ceramic composite pervaporation membranes using response surface methodology
复制标题
响应面法优化聚二甲基硅氧烷（PDMS）/陶瓷复合渗透汽化膜的制备条件
DOI：
10.1016/j.memsci.2007.11.054
复制
发表时间：
2008-03
影响因子：
9.5
通讯作者：
Xu Nanping
中科院分区：
文献类型：
--
作者：
Wei Wang;Xiangli Fenjuan;Jin Wanqin;Chen Yiwei;Xu Nanping
利用响应面法（RSM）对影响聚二甲基硅氧烷(PDMS)/陶瓷复合渗透蒸发膜性能的制备条件进行了优化。通过对聚合物浓度、交联剂浓度、浸涂时间三个变量的控制，可以实现膜的良好性能。在我们的研究中，我们建立了制备变量与复合膜性能之间的回归方程。考察了三个变量对复合膜通量和选择性的主效应、二次效应和相互作用。结果表明，聚合物浓度是影响渗透通量和选择性的最显著变量，实验结果与所建立的回归模型预测结果吻合较好。在进料温度为333K，压力为500Pa，乙醇浓度为4.2wt。在以下制备条件下，采用该模型得到的最大通量为12.95kgm−2h−1：聚合物浓度为7.4wt。%，交联剂浓度10.6wt。%，浸涂时间60s。可以期望将回归方程应用于PDMS/陶瓷膜的制备，合理地预测和优化复合膜的性能。
We used response surface methodology (RSM) to optimize the preparation conditions that had great effects on the performance of the polydimethylsiloxane (PDMS)/ceramic composite membranes for pervaporation. Good performance of membranes could be realized through manipulating three variables, which were polymer concentration, crosslink agent concentration, dip-coating time. In our study, we established the regression equations between the preparation variables and the performance of the composite membranes. We investigated main effects, quadratic effects and interactions of the three variables on the flux and the selectivity of composite membranes. The results showed that polymer concentration was the most significant variable that influenced the permeation flux and the selectivity among three variables and the experimental results were in good agreement with those predicted by the proposed regression models. At a feed temperature of 333K under a pressure of 500Pa in an ethanol concentration of 4.2wt.%, the maximum flux of the 12.95kgm−2h−1was obtained by employing the model under the following preparation conditions: polymer concentration 7.4wt.%, crosslink agent concentration 10.6wt.%, dip-coating time 60s. One can expect to apply the regression equations in the preparation of PDMS/ceramic membranes and reasonably predict and optimize the performance of the composite membranes.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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影响因子：
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