Document Type
Article
Publication Date
4-24-2024
Abstract
Using Direct Ink Write (DIW) technology in a rapid and large-scale production requires reliable quality control for printed parts. Data streams generated during printing, such as print mechatronics, are massive and diverse which impedes extracting insights. In our study protocol approach, we developed a data-driven workflow to understand the behavior of sensor-measured X- and Y-axes positional errors with process parameters, such as print velocity and velocity control. We uncovered patterns showing that instantaneous changes in the velocity, when the build platform accelerates and decelerates, largely influence the positional errors, especially in the X-axis due to the hardware architecture. Since DIW systems share similar mechatronic inputs and outputs, our study protocol approach is broadly applicable and scalable across multiple systems. Graphical abstract: (Figure presented.)
Language
English
Publication Title
MRS Advances
Grant
LLNL-JRNL-859176
Rights
© The Author(s) 2024. This is an Open Access work distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Aung, H.H., Jimenez, J.C., Au, B. et al. Towards a study protocol: A data-driven workflow to identify error sources in direct ink write mechatronics. MRS Advances 9, 837–843 (2024). https://doi.org/10.1557/s43580-024-00846-9
Manuscript Version
Final Publisher Version