Data set for "Generalisable 3D printing error detection and correction via multi-head neural networks"
| dc.contributor.author | Brion, Douglas | |
| dc.contributor.author | Pattinson, Sebastian | |
| dc.date.accessioned | 2022-08-05T11:25:48Z | |
| dc.date.available | 2022-08-05T11:25:48Z | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/339869 | |
| dc.description | The dataset contains 1,272,273 labelled images of the the extrusion 3D printing process. A camera mounted next to the nozzle of the printer was used to capture images of material deposition for 192 different printed parts covering a range of geometries, material colours, and lighting conditions. Each image is labelled with: flow rate, lateral speed, Z offset, hotend temperature, hotend target temperature, bed temperature, timestamp, and nozzle tip x and y coordinates. To collect the data an automated pipeline was created to acquire and automatically label images from a fleet of 8 extrusion printers and to sample different combinations of printing parameters. The dataset provides a CSV of 948,396 pre-filtered images where complete failures, parameter outliers, dark images, and images just after parameter changes are removed. A raw CSV is also included labelling all images in the dataset. This dataset can be used for numerous applications such as real-time error detection, closed-loop control, and parameter prediction. | |
| dc.description.sponsorship | This work has been funded by the Engineering and Physical Sciences Research Council (EP- SRC) PhD Studentship EP/N509620/1 to Douglas Brion, Royal Society award RGS/R2/192433 to Sebastian Pattinson, Academy of Medical Sciences award SBF005/1014 to Sebastian Pattinson, Engineering and Physical Sciences Research Council award EP/V062123/1 to Sebastian Pattinson, and An Isaac Newton Trust award to Sebastian Pattinson. | |
| dc.format | No specific software is required for use. Data was generated on printers running Marlin 1.1.9 firmware and collected on a Python 3 server. Python was also used for sampling parameter combinations and cleaning/filtering the dataset after collection. | |
| dc.rights | Attribution 4.0 International (CC BY 4.0) | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | 3D Printing | |
| dc.subject | Additive Manufacturing | |
| dc.subject | Computer Vision | |
| dc.subject | Machine Learning | |
| dc.title | Data set for "Generalisable 3D printing error detection and correction via multi-head neural networks" | |
| dc.type | Dataset | |
| dc.publisher.department | Department of Engineering | |
| dc.date.updated | 2022-05-01T20:09:20Z | |
| dc.identifier.doi | 10.17863/CAM.84082 | |
| rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | |
| datacite.contributor.supervisor | Pattinson, Sebastian William | |
| dcterms.format | csv, jpg | |
| dc.contributor.orcid | Brion, Douglas [0000-0002-5361-2882] | |
| dc.contributor.orcid | Pattinson, Sebastian [0000-0002-7851-7718] | |
| rioxxterms.type | Other | |
| pubs.funder-project-id | Academy of Medical Sciences (SBF005\1014) | |
| pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/V062123/1) | |
| pubs.funder-project-id | Engineering and Physical Sciences Research Council (2274909) | |
| datacite.issupplementto.doi | 10.1038/s41467-022-31985-y | |
| datacite.issupplementto.url | https://www.repository.cam.ac.uk/handle/1810/341089 | |
| cam.depositDate | 2022-05-01 | |
| pubs.licence-identifier | apollo-deposit-licence-2-1 | |
| pubs.licence-display-name | Apollo Repository Deposit Licence Agreement |
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Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)