Intelligent Optimization Design Framework for Alternating Current Pulse Modulation Electrohydrodynamic Printing...

Area of Science:

• Materials Science and Engineering
• Additive Manufacturing
• Microfabrication

Background:

• Precise control over printed microstructure size is crucial for applications utilizing insulating substrates.
• Traditional methods for adjusting alternating current pulse modulation electrohydrodynamic (AC-EHD) printing parameters are often time-consuming and wasteful.
• Developing an intelligent optimization framework is necessary to enhance the usability and efficiency of AC-EHD printing.

Purpose of the Study:

• To propose and validate an integrated intelligent optimization design framework for AC-EHD printing.
• To achieve efficient and accurate size tuning of printed microstructures on insulating substrates.
• To minimize time and material wastage during the parameter adjustment process.

Main Methods:

• Developed a two-stage framework: prediction model construction and process parameter acquisition.
• Employed the Elk Herd Optimizer (EHO) combined with an Artificial Neural Network (ANN) for predicting printed droplet size based on process parameters.
• Utilized the EHO algorithm with prediction error as fitness to intelligently determine optimal AC-EHD printing parameters.

Main Results:

• The EHO-ANN model demonstrated high accuracy and robustness in predicting printed droplet sizes across various datasets.
• The intelligent optimization framework successfully aligned actual printed droplet sizes with desired values in experimental validation.
• The proposed framework significantly reduced the trial-and-error associated with parameter tuning for AC-EHD printing on insulating substrates.

Conclusions:

• The integrated intelligent optimization framework offers an effective solution for precise size control in AC-EHD printing.
• This approach enhances the practical usability of AC-EHD printing technology, particularly on insulating materials.
• The study successfully mitigates wastage and improves efficiency in microfabrication processes.