Data and Code of FFF print defect characterization through in-situ electrical resistance monitoring

DOI:10.4121/c17ac579-bab1-4f58-ba67-a95182fd021f.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/c17ac579-bab1-4f58-ba67-a95182fd021f
Datacite citation style:
Jonkers, Heime; Dijkshoorn, Alexander; Stramigioli, Stefano; Krijnen, Gijs (2024): Data and Code of FFF print defect characterization through in-situ electrical resistance monitoring. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c17ac579-bab1-4f58-ba67-a95182fd021f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

University of Twente logo

Usage statistics

445
views
358
downloads

Geolocation

Enschede, The Netherlands

Time coverage

Between March 2022 and February 2024

Licence

CC BY 4.0

This dataset contains data collected during in-situ electrical resistance monitoring experiments at the University of Twente as a part of Heime Jonkers' and Alexander Dijkshoorn's PhD thesis project. The data in this data set was collected in the Robotics and Mechatronics Laboratory at the University of Twente - Faculty EEMCS, between March 2022 and February 2024. The dataset is being made public both to act as supplementary data for the publication "FFF print defect characterization through in-situ electrical resistance monitoring" and in order for other researchers to use this data in their own work.

History

  • 2024-02-15 first online, published, posted

Publisher

4TU.ResearchData

Format

zipped/measurement data and processing code

Funding

  • Printing Electro-Tomography (grant code 966668) [more info...] European research council

Organizations

University of Twente, Faculty of Electrical Engineering, Mathematics & Computer Science, Robotics and Mechatronics Laboratory

DATA

Files (6)