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

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

Dataset

• Manufacturing Engineering
• Engineering

Additive Manufacturing, Electrical Resistance, Fused Filament Fabrication, In-situ, Inter-layer adhesion, Process Monitoring

Between March 2022 and February 2024

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Heime Jonkers , Alexander Dijkshoorn , Stefano Stramigioli , Gijs Krijnen

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.

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

4TU.ResearchData

zipped/measurement data and processing code

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

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