Title: Use of Artificial Neural Networks to Determine Parameters Controlling the Nanofibers Diameter in Electrospinning of Nylon‐6, 6
Journal: Journal of Applied Polymer Science
Author: 1. Amir Amani, 1,2. Reza Faridi-Majidi, 3. Hakimeh Ziyadi, 4. Nader Naderi
Year: 2012
Address: 1. Department of Medical Nanotechnology, School of Advanced Medical Technologies, Tehran University of Medical Sciences, Tehran 14174, Iran 2. Research Center for Science and Technology in Medicine (RCSTIM), Imam Khomeini Hospital Complex, Tehran, Iran 3. Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran 4. Fanavarn Nano Meghyas Ltd., Incubation Centre for Medical Equipment and Devices, Imam Khomeini Hospital, Tehran, Iran
Abstract: This study aimed to find out the primary factors influencing the diameter of electrospun nanofibers of nylon-6,6 using artificial neural networks (ANNs). Four variables, namely, polymer concentration, working distance, injection rate, and applied voltage were considered as input parameters and the nanofibers diameter measured by scanning electron microscopy was taken as the output. The data were modeled and validated against a set of unseen data. The generated model was used to study the interactions occurring between the input variables and their effect on the diameter. Results show that the injection rate and the polymer concentration are major factors affecting the nanofibers diameter with inverse and direct relations with the diameter, respectively, while the working distance and the applied voltage have direct but minor effects on nanofibers diameter.
Keywords: electrospinning; artificial neural networks; nylon-6,6; electrospun nanofibers; nanofibers diameter
Application: Optimizing Electrospinning Parameters
Product Model 1: Electroris
Product Model 2:
URL: http://onlinelibrary.wiley.com/doi/10.1002/app.35170/full#="http://onlinelibrary.wiley.com" & "/doi/10.1002/app.35170/full"#