Investigation of The Interfering Effect of Electrospinning Process Parameters On Fiber Diameter of Chitosan/PVA Using Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS)

In this research, chitosan/PVA nano fibers were prepared and the effect of different process parameters namely spinning distance, applied voltage, feeding rate and composition on fiber diameters were investigated two by two (interfering method). Through investigating the interfering effect of feeding rate and spinning distance parameters, it was observed that almost in all feeding rates, and by increasing the spinning distance a decrease in fiber dimeter is observed. In low or high spinning distances, fiber diameters decrease by increasing the spinning rate; but in median spinning distances, thicker fibers are produced by increasing the feeding rate. Through the investigation of spinning distance and applied voltage, it was observed that in low voltages, fibers grow thicker by increasing the spinning distance and in median values of applied voltage, fiber dimeters do not change tangibly by increasing spinning distances but in high voltages, fibers grow fine significantly by increasing spinning distance and their diameter decrease. Finally, fiber diameter is more dependent on spinning distance and in any constant composition, fiber diameters decrease by increasing spinning distances but in different spinning distances, and by changing the feeding ratio, little change is observed in fiber diameter.

کلیدواژه ها:

Electro-spinning ، chitosan ، ANN modeling ، neural network