ISI Papers With Our Products
Title: Artificial Neural Networks Modeling of Electrospinning of Polyethylene Oxide from Aqueous Acid Acetic Solution
Journal: Journal of Applied Polymer Science
Author: 1. Esmaeil Mirzaei, Amir Amani, 1,2. Saeed Sarkar, Reza Saber, Reza Faridi-Majidi, 3. Dariush Mohammadyani
Year: 2012
Address: 1. Department of Medical Nanotechnology, School of Advanced Medical Technologies, Tehran University of Medical
Sciences, Tehran, Iran
2. Research Center for Science and Technology in Medicine (RCSTIM), Imam Khomeini Hospital Complex, Tehran,
Iran
3. Materials and Energy Research Center (MERC), 14155-4777, Karaj, Iran
Abstract: The artificial neural networks (ANNs) were
used to provide a model for investigating the relationships
of the electrospinning parameters with the diameter of
polyethylene oxide (PEO) nanofibers from acid acetic
aqueous solution. The effects of four parameters including
PEO concentration, acetic acid concentration, applied voltage,
and temperature of the electrospinning media on the
nanofibers mean diameter were investigated. To train, test,
and valid the model, three datasets of the input variables
with random values were prepared and the mean diameters
obtained were taken as the output for the network.
The datasets were analyzed by ANNs software and the
correlation coefficient, R-squared (R2), between the predicted
values of the nanofibers mean diameter and actual
amount were obtained. The results demonstrate the capability
of the ANNs model for predicting the nanofibers diameter.
The 3-D plots generated from the model show
complex and nonlinear relationships between the parameters
and nanofibers diameter. From the model, increasing
the PEO concentration above a critical point leads to a
sharp increase in the nanofibers mean diameter. The
effects of applied voltage and temperature are mainly dependent
on the PEO concentration. The acetic acid concentration,
in general shows a direct relation with the
nanofibers mean diameter. The plots also show that to
produce nanofibers with the lowest diameter, both the
PEO concentration and AcOH concentration should be at
lowest values regardless the applied voltage and temperature.
In contrast, highest nanofibers diameters are obtained
when the PEO concentration and AcOH concentration are
at their high values.
Keywords: electrospinning; nanofiber; artificial neural
networks; PEO
Application: optimizing Electrospinning Parameters
Product Model 1: Electroris
Product Model 2:
URL: http://onlinelibrary.wiley.com/doi/10.1002/app.36319/full#="http://onlinelibrary.wiley.com" & "/doi/10.1002/app.36319/full"#