Analysis of electrohydrodynamic jetting behaviors using three-dimensional shadowgraphic tomography

Area of Science:

• Physics
• Fluid Dynamics
• Optical Imaging

Background:

• Electrohydrodynamic (EHD) jetting is crucial for applications like inkjet printing and microfluidics.
• Understanding the behavior of liquid menisci during EHD jetting is essential for process control and optimization.
• Previous studies often lacked detailed three-dimensional insights into the dynamic jetting process.

Purpose of the Study:

• To experimentally analyze the three-dimensional (3D) jetting behaviors of liquid menisci.
• To develop and validate a novel tomographic algorithm for reconstructing EHD jetting phenomena.
• To visualize and characterize different EHD jetting modes in 3D.

Main Methods:

• Utilized three-dimensional optical shadowgraphic tomography for experimental analysis.
• Developed a tomographic algorithm based on multiplicative algebraic reconstruction techniques (MART).
• Employed a cubic cosine basis function for intensity updates and weighting coefficient determination.
• Captured projection data using three high-speed cameras at 45° offset angles.
• Validated the algorithm using a synthesized 3D droplet phantom.

Main Results:

• Successfully reconstructed 3D jetting modes of liquid menisci.
• Demonstrated the capability of the developed tomographic algorithm to accurately represent complex EHD phenomena.
• Provided detailed 3D visualizations of jetting behaviors previously difficult to observe.

Conclusions:

• The 3D optical shadowgraphic tomography method is effective for analyzing EHD jetting.
• The developed tomographic algorithm provides accurate reconstructions of liquid meniscus dynamics.
• This study offers a valuable tool for further research and development in EHD applications.