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Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers

机译:使用RSM的两级因子设计来筛选PA中空纤维通过全蒸过程进行IPA脱水的因素

摘要

Purifiying the IPA from the aqueous solutions in the industry by PV is a well-established in the membrane separation technologies. PV has progressively become a prospective separation technique because of the benefitsudin term of energy efficiency, environment friendly and simple operation. To ensure an effective pervaporationudprocess, the rela ted factors and their contributions need to be identified intensively. As one of the features in RSM, FFD were used to identify an approximating function for predicting future response for further analysis to determine fa ctor values that optimize the response function for lPA pervaporation. The factorial models have been obtained from experimental design to study all interactions among the considered parameters which were JPA concentration (70 – 95 wt %), feed temperature.(60 - 90°c), feet flow rate (30 – 100 L/hr) and permeate pressure{0.l - 5 kPa). The results; obtained from the analysis of vnriam e (ANOVA) of permeate flux and selectivity, showed that the iinpacts of JPA concentratjon and feed temperahtre are much more important than feed flow ra te and permeate pressure and the regression equa tion obtained to show the relationship between the responses.
机译:通过PV从工业水溶液中纯化IPA是膜分离技术中公认的。由于在能源效率,环境友好和操作简单方面的优势,PV已逐渐成为一种预期的分离技术。为了确保有效的渗透蒸发过程,需要深入识别相关因素及其贡献。作为RSM中的功能之一,FFD用于识别用于预测未来响应的近似函数,以进行进一步分析,以确定对IPA全蒸发响应函数进行优化的因子值。通过实验设计获得了阶乘模型,以研究所考虑参数之间的所有相互作用,这些参数包括JPA浓度(70 – 95 wt%),进料温度(60-90°c),英尺流速(30 – 100 L / hr) )和渗透压(0.1-5 kPa)。结果;通过渗透通量和选择性的伏安法(ANOVA)分析获得的结果表明,JPA浓度和进料温度的进料比进料流量和渗透压重要得多,所获得的回归方程表明了进料流量和渗透压之间的关系。回应。

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