Modeling of micro-phase separation kinetics of polyurethane / CNT nanocomposites
Paper ID : 1618-ICNS
Hanie Ahmadi1, Vahid Haddadi-Asl *2
1Deparment of polymer engineering, Amirkabir university of technology, Tehran, Iran
2Department of Polymer Engineering and Color Technology, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran.
The present study, thermoplastic polyurethane elastomers (TPU) reinforced with carbon nanotubes (CNT), were produced via melt mixing approach and evaluated with many techniques including spectroscopy and rheological analyses. The time sweep tests were used to determine the influence of temperature, applied pre-shear, and CNT on the micro-phase separation kinetics of the nanocomposites. Based on the experimental results, the artificial neural network was developed to explain the relationship between those parameters and micro-phase separation time. The neural network can predict micro-phase separation time of TPU nanocomposites possessing different factors such as nanofillers at various shear rates and temperatures.
Modeling; Nanocomposite; Rheology; Thermoplastic polyurethane; Artificial neural network.
Status : Abstract Accepted (Poster Presentation)
8th International Conference on Nanostructures 8th International Conference on Nanostructures