| Abstract Scope |
Aerosol Jet printing (AJP) is a direct-write additive manufacturing method in which metallic inks are aerosolized, carried by gas flows, focused to achieve a collimated flow, and deposited on a substrate. This technique has a printing resolution on the order of tens of microns, and has potential applications in flexible electronics, smart textiles, and implantable biomedical devices. A key challenge for commercial application of this technology is identifying optimal printing parameters (e.g., atomization voltage, gas flow rates, platen temperature, and speed, etc.) for each ink-substrate pairing. We have previously studied the individual and interactive effects of printing parameters on the products of AJP by Taguchi orthogonal array method. These data were used as a prior for batch bayesian optimization, which will fine-tune our previous recommended processing parameters. By testing the design space continuously, we may identify new parameters that improve product conductivity, printing precision, or trace width. |