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 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
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Dataset
University of Twente logo
usage stats
299
views
142
downloads
geolocation
Enschede, The Netherlands
time coverage
Between March 2022 and February 2024
licence
cc-by.png logo 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)