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: 10.4121/143ec88f-8a41-4d8b-a306-9ff519e4024b

van Hazendonk, Laura; Vonk, Coen; van Grondelle, Wilko; Vonk, Niels; Friedrich, Heiner (2023): Data and code related to the manuscript "Towards a predictive understanding of direct ink writing of graphene-based inks". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/143ec88f-8a41-4d8b-a306-9ff519e4024b.v2

Dataset

x choose version: version 1 - 2023-09-06

• Physical Chemistry (incl. Structural)
• Macromolecular and Materials Chemistry
• Chemical Sciences

CCD, Central Composite Design, Design of Experiments, Direct ink writing, DoE, GCODE, Graphene, Printed conductors, Stretchable conductors, Wearable technology, Wearables

2021-2022

CC BY 4.0

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

by Laura van Hazendonk , Coen Vonk , Wilko van Grondelle , Niels Vonk , Heiner Friedrich

In the work related to this dataset, we demonstrated the feasibility of high-resolution direct ink writing of platelet-based inks on the example of graphene nanoplatelets. We developed a workflow for the combined optimization of ink rheology and printing process parameters to gain a predictive understanding of filament quality and morphology. Design of experiments was used to design the data collection and analysis steps, with most of the study performed in the form of several Central Composite Designs (CCDs). This dataset includes the experimental data obtained with a rheometer, grind gauge, 3D profilometer and multimeter and the corresponding processing scripts (Python and Matlab) and processed data. This dataset also includes python scripts for the statistical analysis of the Central Composite Designs. It also includes G-code files with the printer commands to reproduce our print designs and print settings.

• 2023-09-06 first online

• 2023-10-30 published, posted

4TU.ResearchData

Various (GCODE, python, matlab, .csv, .dat, .jpg, .xlsx)

• This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 881603 (Graphene Flagship Core 3) (grant code 881603) European Union's Horizon 2020 (Graphene Flagship Core 3)

TU Eindhoven, Department of Chemical Engineering and Chemistry, Laboratory of Physical Chemistry
TU Eindhoven, Department of Mechanical Engineering, Institute for Complex Molecular Systems