Jet Mode Recognition of Electrohydrodynamic Direct-Writing Based on Micro/Nano Current

Area of Science:

• Materials Science
• Fluid Dynamics
• Electrical Engineering

Background:

• Electrohydrodynamic direct-writing (EDW) is a fabrication technique requiring precise control.
• Accurate recognition of jet modes is crucial for stable EDW operation and advanced applications.
• Current EDW systems lack robust real-time jet mode identification methods.

Purpose of the Study:

• To develop and validate a system for online recognition of electrohydrodynamic direct-writing (EDW) jet modes.
• To investigate the correlation between electrical current characteristics and different EDW jetting behaviors.
• To establish a foundation for closed-loop control systems in EDW technology.

Main Methods:

• An EDW system integrated with a current detection module was constructed.
• Electrical current signals from the EDW jet were measured during patterned structure printing.
• A MATLAB-based data processing program incorporating a digital Kaiser low-pass filter was employed for noise reduction.
• Analysis of current fluctuation and peak current intervals was performed to differentiate jet modes.

Main Results:

• Distinct current characteristics were identified for droplet ejection, Taylor cone ejection, and retractive ejection modes.
• The Taylor cone ejection mode exhibited the lowest coefficient of variation in peak current, indicating higher stability.
• The developed method successfully differentiated between the investigated jet modes based on current signals.

Conclusions:

• Real-time current monitoring provides an effective means for recognizing EDW jet modes.
• This approach enables the design of optimized control algorithms for enhanced jet stability.
• The findings facilitate the development of closed-loop control systems, accelerating EDW technology adoption.