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Analysis and Prediction of Electrospun Nanofiber Diameter Based on Artificial Neural Network.
- Source :
-
Polymers (20734360) . Jul2023, Vol. 15 Issue 13, p2813. 14p. - Publication Year :
- 2023
-
Abstract
- Electrospinning technology enables the fabrication of electrospun nanofibers with exceptional properties, which are highly influenced by their diameter. This work focuses on the electrospinning of polyacrylonitrile (PAN) to obtain PAN nanofibers under different processing conditions. The morphology and size of the resulting PAN nanofibers were characterized using scanning electron microscopy (SEM), and the corresponding diameter data were measured using Nano Measure 1.2 software. The processing conditions and corresponding nanofiber diameter data were then inputted into an artificial neural network (ANN) to establish the relationship between the electrospinning process parameters (polymer concentration, applied voltage, collecting distance, and solution flow rate), and the diameter of PAN nanofibers. The results indicate that the polymer concentration has the greatest influence on the diameter of PAN nanofibers. The developed neural network prediction model provides guidance for the preparation of PAN nanofibers with specific dimensions. [ABSTRACT FROM AUTHOR]
- Subjects :
- *NANOFIBERS
*DIAMETER
*SCANNING electron microscopy
Subjects
Details
- Language :
- English
- ISSN :
- 20734360
- Volume :
- 15
- Issue :
- 13
- Database :
- Academic Search Index
- Journal :
- Polymers (20734360)
- Publication Type :
- Academic Journal
- Accession number :
- 164919875
- Full Text :
- https://doi.org/10.3390/polym15132813