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Title: Artificial Neural Networks Modeling of Electrospun Polyurethane Nanofibers from Chloroform/Methanol Solution
Journal: Journal of Nano Research
Author: 1. Saman Firoozi, Mohammad Ali Derakhshan, 1,2. Amir Amani, Hossein Ghanbari
Year: 2016
Address: 1. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran 2. Medical Biomaterials research Center, and Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
Abstract: In this study, electrospun nanofibers of polyurethane were prepared utilizing a new solvent system made of chloroform/methanol. Also, we planned to assess effects of four important parameters on diameter of electrospun polyurethane nanofibers using Artificial Neural Networks (ANNs). The parameters investigated included flow rate of syringe pump, distance of spinneret to collector, applied voltage and concentration of polymer solution. Diameter of obtained electrospun nanofibers was measured using scanning electron microscopy (SEM). Results showed that flow rate and distance had reverse relation with fiber diameter, while applied voltage and concentration of polymer solution directly affected the diameter. Also, polymer concentration was shown to be the dominant factor here.
Keywords: Electrospinning, Nanofiber; Polyurethane; Artificial Neural Networks; diameter
Application: Optimizing Electrospinning Parameters
Product Model 1: Electroris
Product Model 2:
URL: https://www.scientific.net/JNanoR.41.18#="https://www.scientific.net" & "/JNanoR.41.18"#