Optimization of electrospun polyamide 6,6/polyvinyl alcohol nanofibril composite through response surface methodology and neural networks

Saleh S. Abdelhady, Shaimaa M. Mohamed, Asmaa M. Kassab, Department of Mechanical Engineering, Higher Technological Institute, th of Ramadan City, Department of Mechanical Engineering, Modern University for Technology and Information, Elmokatam City, Department of Railway, Egyptian Korean Faculty of Industry and Energy Technology, Beni-Suef Technological University , Beni-Suef City

Journal of Thermoplastic Composite Materials

Published online on July 31, 2026

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
The present investigation employs artificial neural networks (ANN) and response surface methodology (RSM) to model the diameter of a polyamide-6,6 (PA66)/polyvinyl alcohol (PVA) nanofibril composite. For modelling the average diameter of nanofibers, RSM ...