https://doi.org/10.1140/epjs/s11734-025-01680-2
Regular Article
Data-driven analysis of droplet morphology in inkjet systems: toward generating stable single-drop regimes
1
Centre Internacional de Mètodes Numérics en Enginyeria (CIMNE), C/Gran Capitán s/n, Campus Nord UPC, 08034, Barcelona, Spain
2
Escola Tècnica Superior d’Enginyers de Camins, Canals i Port, Universitat Politècnica de Catalunya - BarcelonaTech (UPC), C/Jordi Girona 1, Campus Nord UPC, 8034, Barcelona, Spain
a
ahashemi@cimne.upc.edu
b
pavel.ryzhakov@upc.edu
Received:
11
October
2024
Accepted:
6
May
2025
Published online:
5
June
2025
The growing demand for new microelectronic devices and pharmaceutical advancements has heightened interest in inkjet printing as a means of high-precision manufacturing technique. This study leverages data-driven analyses to optimize droplet generation processes in a drop-on-demand dispensing system. A three-voltage pulse scheme was employed to produce droplets, with high-resolution images captured and processed to extract geometric features of the principal droplet. This resulted in a comprehensive, openly published dataset, along with a detailed, reproducible image processing pipeline. By analyzing this data, we identified key operational parameters and established correlations between inputs and outputs, providing insights into consistent single-droplet generation. These findings offer practical guidelines for controlling droplet morphology and advancing applications in inkjet printing
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
