Data Publication
Supplementary data to the paper: 3D Printing of a Self-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment
Linda Ritzen
|
Vincenzo Montano
|
Santiago J. Garcia
4TU.ResearchData
(2021)
This dataset contains the data corresponding to the following publication:
Linda Ritzen, Vincenzo Montano and Santiago J. Garcia. 3D Printing of aSelf-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment. Polymers 2021, 13, 305.https://doi.org/10.3390/polym13020305
Abstract:
The use of self-healing (SH) polymers to make 3D-printed polymeric parts
offers the potential to increase the quality of 3D-printed parts and to
increase their durability and damage tolerance due to their (on-demand)
dynamic nature. Nevertheless, 3D-printing of such dynamic polymers is
not a straightforward process due to their polymer architecture and
rheological complexity and the limited quantities produced at lab-scale.
This limits the exploration of the full potential of self-healing
polymers. In this paper, we present the complete process for fused
deposition modelling of a room temperature self-healing polyurethane.
Starting from the synthesis and polymer slab manufacturing, we processed
the polymer into a continuous filament and 3D printed parts. For the
characterization of the 3D printed parts, we used a compression cut
test, which proved useful when limited amount of material is available.
The test was able to quasi-quantitatively assess both bulk and 3D
printed samples and their self-healing behavior. The mechanical and
healing behavior of the 3D printed self-healing polyurethane was highly
similar to that of the bulk SH polymer. This indicates that the
self-healing property of the polymer was retained even after multiple
processing steps and printing. Compared to a commercial 3D-printing
thermoplastic polyurethane, the self-healing polymer displayed a smaller
mechanical dependency on the printing conditions with the added value
of healing cuts at room temperature.
The dataset contains the following measurements:
- Differential Scanning Calorimetry (DSC) of SH-TPU.
- Filament thickness measurements of the filaments used for 3D printing.
- Fourier Transform Infrared Spectroscopy (FTIR) of SH-TPU in the pristine, filament and 3D printed condition.
- Force-displacement curves of the mechanical testing of SH-TPU and commercial TPU Ninjaflex.
- Rheology results (shear rate analysis and temperature sweep) of SH-TPU and commercial TPU Ninjaflex.
- Thermogravimetric analysis (TGA) of SH-TPU in pristine and filament condition.
The experimental set-up used to obtain these data can be found in the article and has also been included in the .txt files in the folders of the measurements.
MSL enriched sub domains i
microscopy and tomography
Citiation
Ritzen, L., Montano, V., & Garcia, S. J. (2021). Supplementary data to the paper: 3D Printing of a Self-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/13603775.V1