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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.13801 |
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| _version_ | 1866909464587665408 |
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| author | Hashemi, Ali R. de Parga-Regalado, Angela M. Ares Ryzhakov, Pavel B. |
| author_facet | Hashemi, Ali R. de Parga-Regalado, Angela M. Ares Ryzhakov, Pavel B. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_13801 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Data-Driven Analysis of Droplet Morphology in Inkjet Systems: Toward Generating Stable Single-Drop Regimes Hashemi, Ali R. de Parga-Regalado, Angela M. Ares Ryzhakov, Pavel B. Fluid Dynamics Computational Physics 76-04 (Primary) 76T99, 65-04 (Secondary) E.0; I.2.10; I.5.3; I.4.8 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. |
| title | Data-Driven Analysis of Droplet Morphology in Inkjet Systems: Toward Generating Stable Single-Drop Regimes |
| topic | Fluid Dynamics Computational Physics 76-04 (Primary) 76T99, 65-04 (Secondary) E.0; I.2.10; I.5.3; I.4.8 |
| url | https://arxiv.org/abs/2501.13801 |