Working Parameter Optimization of a Microstructure Electrohydrodynamic Jet Printing System by the Quantification of Margins and Uncertainties

The purpose of this study is to provide an accurate and effective method to predict the reliability of printed microscopic feature sizes of an electrohydrodynamic jet printing system. The Quantification of Margin and Uncertainty (QMU) method was used to investigate the reliability and uncertainty of the design parameters of an electrohydrodynamic jet printing system. The parameters of the printing system are optimized on this basis. A quantitative model for predicting the microscopic feature size of electrohydrodynamic jet printing patterns and the principle of the QMU method are introduced. The QMU method is applied to the above model through simulation analysis. We obtained the margins and uncertainties of the printing size of the model relative to the expected threshold size under fluctuating experimental parameters. Thus, the most reliable working parameter range is obtained, and the operation point farthest from the unqualified parameters is regarded as the most optimial. Our results show that when working parameters deviate from ideal conditions, there is an acceptable region where the printing parameters could meet the actual requirements.