The two-level and full-factorial Design of Experiment methodology is used to conduct experiments on the liquid jetting process. Data is collected for analysis of variance to identify significant factors in the process. Temperature, voltage, pulse width, and frequency are found to be influential on droplet speed. Also, temperature, pulse width, frequency, and their interactions are found to be influential on droplet volume. Two regression models are built by using those significant factors. The coefficients in the models can be used as a guideline for control procedures because they describe the process behaviors and their magnitudes. This research shows an effective way to model the new liquid jetting processes empirically that could be wildly used for jetting liquid materials in electronics manufacturing. |