About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Printed Electronics and Additive Manufacturing of Advanced Functional Materials and Devices—From Processing Concepts to Applications
|
| Presentation Title |
Exploring Bayesian and Taguchi optimization pathways for aerosol jet printing |
| Author(s) |
Aidan Selkirk, Anthony DeCarlo, Krish Gupta, Naomi Saito, Peter Burdick, Caroline Kromalic, Daniel Rakowsky, Sylvie Crowell, Janet L. Gbur |
| On-Site Speaker (Planned) |
Janet L. Gbur |
| Abstract Scope |
With growing interest in aerosol jet printing, it is worth exploring the designs of experiments that can aid in achieving optimization for a given ink/substrate combination. Of interest is the applicability of Taguchi and Bayesian methods from the perspective of practical implementation. What is the impact of these methods on time and materials to reach an optimized solution? Here, silver nanoparticle ink and polyimide film were used to fabricate dumbbell-shaped prints with a focus on platen temperature, aerosol and sheath flows, atomizer voltage, and stage speed. Preliminary work included parameter isolation and oven studies to help set reasonable experimental bounds. A Taguchi L25 array and a custom batch-process Bayesian code were used to define the experiments. The methods were compared using conductance, trace width, and visual conformity for each of the prints. Bayesian and Taguchi methods produced similar results; however, the latter was more efficient and less costly. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Other, Characterization, |