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    A Fundamental Study and Modeling of the Micro Droplet Formation Process in Near Field Electrohydrodynamic Jet Printing

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    Date
    2014
    Author
    Carter, William
    Popell, George C.
    Samuel, Johnson
    Mishra, Sandipan
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    Abstract
    Nearfield electrohydrodynamic jet (Ejet) printing has recently gained significant interest within the manufacturing research community because of its ability to produce micro/submicronscale droplets using a wide variety of inks and substrates. However, the process currently operates in openloop and as a result suffers from unpredictable printing quality. The use of physicsbased, controloriented process models is expected to enable closedloop control of this printing technique. The objective of this research is to perform a fundamental study of the substrateside droplet shapeevolution in nearfield Ejet printing and to develop a physicsbased model of the same that links input parameters such as voltage magnitude and ink properties to the height and diameter of the printed droplet. In order to achieve this objective, a synchronized highspeed imaging and substrateside currentdetection system is implemented to enable a correlation between the droplet shape parameters and the measured current signal. The experimental data reveals characteristic process signatures and droplet spreading regimes. The results of these studies served as the basis for a model that uses the measured current signal as its input to predict the final droplet diameter and height. A unique scaling factor based on the measured current signal is used in this model instead of relying on empirical scaling laws found in prior Ejet literature. For each of the three inks tested in this study, the average error in the model predictions is under 10% for both the diameter and the height of the steadystate droplet. While printing under nonconducive ambient conditions of low relative humidity and high temperature, the use of the environmental correction factor in the model is seen to result in a 17% reduction in the model prediction error.
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    http://yetl.yabesh.ir/yetl/handle/yetl/155993
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