Supplementary data to the paper: 3D Printing of a Self-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment

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<br>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.<br>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.<br>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. <br>

本数据集对应以下已发表学术文献：Linda Ritzen、Vincenzo Montano与Santiago J. Garcia的《通过熔融沉积成型3D打印自修复热塑性聚氨酯：从聚合物坯料到力学性能评估》，发表于*Polymers*期刊2021年第13卷第305篇文章，DOI: 10.3390/polym13020305。

摘要：利用自修复（Self-Healing, SH）聚合物制备3D打印聚合物构件，凭借其（按需响应的）动态特性，有望提升3D打印构件的质量、耐久性与损伤容限。然而，这类动态聚合物的3D打印并非易事，究其原因在于其分子结构与流变特性复杂，且实验室规模下的制备产量有限，这制约了自修复聚合物全部潜力的挖掘。本文报道了室温自修复聚氨酯的熔融沉积建模（Fused Deposition Modelling, FDM）完整工艺流程：从合成与聚合物坯料制备出发，将该聚合物加工为连续长丝并进行3D打印。针对3D打印构件的表征，本文采用了压缩切割测试，该方法在材料用量有限时展现出良好适用性，可准定量评估块状样品与3D打印样品及其自修复性能。结果表明，3D打印自修复聚氨酯的力学与修复性能与块状自修复聚合物高度相似，说明该聚合物的自修复特性在历经多步加工与打印后仍得以保留。与商用3D打印热塑性聚氨酯相比，该自修复聚合物的力学性能对打印条件的依赖性更低，且具备室温修复切口的附加优势。

本数据集涵盖以下测试数据：
1. 自修复热塑性聚氨酯（SH-TPU）的差示扫描量热法（Differential Scanning Calorimetry, DSC）测试数据；
2. 3D打印所用长丝的直径测量数据；
3. 原始态、长丝态与3D打印态SH-TPU的傅里叶变换红外光谱（Fourier Transform Infrared Spectroscopy, FTIR）数据；
4. SH-TPU与商用TPU Ninjaflex的力学测试力-位移曲线数据；
5. SH-TPU与商用TPU Ninjaflex的流变测试结果（剪切速率分析与温度扫描测试数据）；
6. 原始态与长丝态SH-TPU的热重分析（Thermogravimetric Analysis, TGA）数据。

获取上述数据所用的实验装置细节可参见原文，同时也已包含在各测试数据文件夹内的.txt文件中。