The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm

Area of Science:

• Materials Science
• Fluid Dynamics
• Nanotechnology

Background:

• Force-spinning is crucial for fabricating polymer and metal nanofibers used in medical and industrial fields.
• Spinneret design critically influences the physical performance and morphology of spun nanofibers.
• Understanding spinneret parameter effects on fluid flow is key to optimizing nanofiber production.

Purpose of the Study:

• To investigate the impact of spinneret parameters on outlet velocity in force-spinning.
• To optimize spinneret structure parameters for maximum outlet velocity.
• To analyze the relationship between spinneret geometry and fluid flow dynamics.

Main Methods:

• Mathematical modeling of solution flow within a four-area spinneret.
• Optimization of outlet diameter, bending angle, and curvature radius using the Gray Wolf Algorithm (GWA).
• Computational simulation to analyze velocity distribution for various parameters.
• Experimental fabrication of nanofibers using straight-tube and optimized bent-tube nozzles.

Main Results:

• A curved-tube nozzle with specific parameters (9.1° bending angle, 0.6 mm diameter, 10 mm curvature radius) yielded maximum outlet velocity and improved distribution.
• Simulations confirmed enhanced velocity profiles with optimized bent-tube parameters.
• Experimental results showed a dramatic increase in outlet velocity and better surface quality of nanofibers using the optimized bent-tube nozzle.

Conclusions:

• Spinneret geometry significantly affects outlet velocity and nanofiber morphology in force-spinning.
• The Gray Wolf Algorithm effectively optimizes spinneret parameters for enhanced performance.
• Optimized bent-tube spinnerets offer a pathway to producing high-quality nanofibers with improved characteristics.