|About this Abstract
||2023 TMS Annual Meeting & Exhibition
||Functional Nanomaterials 2023
||Feature Classification of Evaporation-driven Multi-scale 3D Printing
||Samannoy Ghosh, Marshall V. Johnson, Rajan Neupane, James Hardin, John Daniel Berrigan, Surya R. Kalidindi, Yong Lin Kong
|On-Site Speaker (Planned)
The evaporative patterning process is highly sensitive to print parameters such as concentration and ink composition. The ability to print consistently is particularly important for the printing of active electronics, which requires the integration of multiple functional layers. Here we demonstrate a microfluidics-driven multi-scale 3D printer where the microfluidic-driven 3D printer can rapidly modulate ink composition, such as concentration and solvent-to-cosolvent ratio, to explore multi-dimensional parameter space. The integration of the printer with an image-processing algorithm and a support vector machine-guided classification model enables automated, in situ pattern classification. We envision that such integration will provide valuable insights into understanding the complex evaporative-driven assembly process and ultimately enable an autonomous optimization of printing parameters that can robustly adapt to unexpected perturbations.