ABSTRACT
Abstract ................................................................................................... 57 3.1 Introduction .................................................................................... 58 3.2 Numerical Method ......................................................................... 59 3.3 Experimental .................................................................................. 63 3.4 Result and Discussion .................................................................... 64 3.5 Conclusion ..................................................................................... 74 3.6 Acknowledgment ........................................................................... 74 Keywords ................................................................................................ 75 References ............................................................................................... 75
ABSTRACT
Electrospinning is a sophisticated material process to manufacture welltailored nanofibers for fiber reinforcement, tissue scaffolding, drug delivery, nanofiltration, and protective clothing. However, experimental results need
to be controlled systematically through theoretical models for the optimization of single and bicomponent nanofiber diameter and alignment. This study is concerned with modeling and simulation of electrospinning process by solving the governing equations of an electrified jet using FEniCS software packages for finite element method. Jet diameter changes are focused in this model as the most important physical parameter. Electrospinning effective parameters on nanofiber structure including solvent evaporation, electrical field, viscosity, and flowing rate are simulated. Experimental nanofiber production in the same spinning condition with simulated spinning is applied to validate the model. Comparison between theoretical and experimental nanofiber diameter in different solution concentration presents good compatibility of the model. The relative error shows that for the higher nozzle diameter, the model can have an acceptable prediction for final diameter.
