NEURO FUZZY SYSTEM (ANFIS) MODELING OF DESALINATION BY AIR GAP MEMBRANE DISTILLATION

This study deals neuro fuzzy system (ANFIS) model to describe the performance of air gap membrane distillation process for different operating conditions. The air gap thickness, thecondensation temperature, the feed inlet temperature, and the feed flow rate of salt aqueous solutionsare the input variables of this process, whereas the response is the performance index, which takes into consideration both the permeate flux and the salt rejection factor. The overall agreement between theANFIS predictions and experimental data was very good showing a correlation coefficient of 0.999.The optimum operating conditions was obtained are 3.1 mm air gap thickness, 15 ºC condensation temperature, 70 ºC feed inlet temperature and 200 L/h feed flow rate with a maximum experimental performance index of 49.7 kg/m2 h.

کلیدواژه ها:

Adaptive Neuro Fuzzy Inference System ، Air gap membrane distillation ، Desalination