摘要
The equations of solute rejection and concentrate rate on porous membrane were deduced based on the model of absorption-diffusion.Genetic algorithm (GA) was used to simulate the performance of the membrane.The calculated parameters, such as the solute distribution coefficient, the solute diffusion coefficient and the solvent diffusion coefficient in the membrane phase for the ESPA2 membrane, were all in agreement with the measured ones of aromatic polyamide reverse osmosis composite membrane and the mean square deviation of NaCl-permeability was between 10 -7and 10 -6.
The equations of solute rejection and concentrate rate on porous membrane were deduced based on the model of absorption-diffusion. Genetic algorithm （GA） was used to simulate the performance of the membrane. The calculated parameters, such as the solute distribution coefficient, the solute diffusion coefficient and the solvent diffusion coefficient in the membrane phase for the ESPA2 membrane, were all in agreement with the measured ones of aromatic polyamide reverse osmosis composite membrane and the mean square deviation of NaCl-permeability was between 10^-7and 10^-6
出处
《化工学报》
EI
CAS
CSCD
北大核心
2007年第8期2027-2032,共6页
CIESC Journal
关键词
反渗透
吸附-扩散
性能预测
遗传算法
reverse osmosis
adsorption-diffusion
performance prediction
genetic algorithm
