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. 2022 Aug 15;13:4654. doi: 10.1038/s41467-022-31985-y

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Workflow for collecting varied datasets from extrusion 3D printers with the automatic labelling of images with printing parameters. b Fleet of eight thermoplastic extrusion 3D printers (Creality CR-20 Pro) equipped with cameras focused on the nozzle tip to monitor material deposition. c Renderings of generated toolpaths for a single input geometry, with randomly selected slicing parameters. d Snapshot of data gathered during an example print showing images with varying parameter combinations. e Design of bed remover and dock utilising existing motion system along with photographs taken during operation. f Distributions of normalised parameters in the full dataset collected by CAXTON containing over 1.2 million samples.