Response surface methodology (RSM) is used for modeling and optimization of operating parameters for nanofiltration of seawater.Feed flow rate,liquid temperature,operating pressure are chosen for experiment optimization based on the Box-Behnken.A quadratic polynomial regression model of permeate flux is developed.Through the experiment,the actual value is compared with the prediction value,and then the credibility of the model is verified.Finally,the optimum level of each operating parameters is as follows:flow rate is 6.14 m3/h,liquid temperature is 38.31 ℃,operating pressure is 3.93 MPa.Based on desirability function process,prediction membrane flux is 33.33 L/(m2 · h),while actual membrane flux is 31.17 L/(m2 · h).The relative error of the actual and prediction value is 3.58％.%海水淡化技术为解决水资源短缺提供了有效的途径,利用响应曲面法(RSM)对纳滤海水过程进行研究,主要研究影响因素对膜通量的影响.利用Box-Behnken实现了对影响因素进料液流量、进料液温度以及操作压力的优化设计,拟合了膜通量与影响因素的二次回归函数,通过试验对实际值与理论值进行了对比,进而验证该模型的可信度.最后确认了最佳因素水平,并对该条件下的膜通量进行了验证,最佳影响因素如下:进料液流量为6.14 m3/h,进料液温度为38.31℃,操作压力为3.93 MPa,此条件下膜通量达到33.33 L/(m2·h).通过试验对所得结果进行验证,膜通量实际值为31.17 L/(m2·h),试验值与预测值相对误差较小,仅为3.58％.
展开▼
