Abstract
Graphene Quantum Dots (GQDs) and epoxy have been combined into a nanocomposite and evaluated for their thermal and dynamic mechanical properties. Samples of varying GQD mass loading were first examined with SEM in several images. Thermal conductivity was estimated using Differential Scanning Calorimetry (DSC) with a step analysis technique and analysis program. Several dynamic mechanical properties were recorded using Dynamic Mechanical Analysis (DMA) and displayed in their raw and analyzed formats. For more insight please see Infusion of graphene quantum dots to modulate thermal conductivity and dynamic mechanical properties of polymers [1].
Keywords: Graphene quantum dots, Thermal conductivity, Dynamic mechanical analysis, Graphene polymers, Differential scanning calorimetry, Graphene nanoparticles, Graphene polymers
Specifications Table
| Subject area | Materials Science |
| More specific subject area | Graphene nanocomposites |
| Type of data | Tables and plots |
| How data was acquired | FEI XL30 ESEM TMP Perkin Elmer DMA-8000 Perkin Elmer DSC-8500 |
| Data format | Raw and Analyzed |
| Experimental factors | Dispersement, degassing, curing temperature and time. |
| Experimental features | Nanocomposite fabrication, SEM, TEM, DSC, DMA |
| Data source location | Thermal and Mechanical Characterization Lab, PerkinElmer, 75 Nicholson Ln, San Jose, CA 95134 |
| Data accessibility |
https://figshare.com/s/db2e99cbb17ec8fc5481 https://drive.google.com/open?id=1w4pX7BrSwf5zrJxIoItv1Vrk3fxBssgf |
| Related research article | Author's name: Seibert JR, Keleş Ö, Wang J, Erogbogbo F. Title: Infusion of graphene quantum dots to modulate thermal conductivity and dynamic mechanical properties of polymers Journal: Polymer. 2019; 121988. https://doi.org/10.1016/j.polymer.2019.121988 |
Value of the Data
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1. Data
The dataset contains raw files related to the manuscript, “Infusion of graphene quantum dots to modulate thermal conductivity and dynamic mechanical properties of polymers [1]”. The raw data obtained from for scanning electron microscopy was used in the construction, Differential scanning calorimetry, thermal conductivity, and dynamic mechanical analysis.
1.1. SEM
SEM Images are found in the linked data repository in the SEM folder for E-GQD samples of with GQD mass loading of 0%, 1%, 2.5% and 5%. Images were taken with magnifications ranging from 100x-10000x.
1.2. DSC
Thermal conductivity data analyzed by a program received from the University of Rostockthat was used in research by Merzlyakov et al. is found in the linked data repository in the file TC.Combined.xlsx [2].
DSC was also used to verify the cure of the epoxy in samples, data related to this verification in found in the linked data repository in the file named epoxycurecombined.xlsx.
1.3. DMA
Raw and analyzed data for DMA tests on samples with GQD mass loading of 0%, 1%, 2.5% and 5% are found on the linked data repository in the file named combined.DMA.xlsx.
2. Experimental design, materials, and methods
2.1. TEM
TEM images were obtained using Hitachi H-9500 System at 300 kV in a bright field mode at NASA Ames. Drops of GQD solution were on lacey carbon 300 mesh grids, which then were dried at room temperature for 20 minutes to remove any liquid from the GQDs. Images taken with the TEM were used to verify the structure of GQDs and compare to the bird charcoal source material.
2.2. SEM
Fractured GQD/Epoxy composite samples were examined under SEM using the FEI XL30 ESEM TMP at NASA Ames. The SEM was used in low vacuum water mode, with a 15 kV beam. GQD/Epoxy samples of 1%, 2.5%, 5% and neat epoxy were made using the DMA procedure but were fractured using a hammer and a vice, the fracture surface was examined in the SEM.
2.3. DSC
Thermal conductivity was measured using DSC with the method previously mentioned research by Merzlyakov et al. in a program received from the University of Rostock available at http://www.polymerphysik.uni-rostock.de/research/research.php. Measuring thermal conductivity using DSC requires additional sample preparation and a modulated temperature scan. This technique is considered an estimation which is within 5% of the actual thermal conductivity. A Perkin Elmer DSC-8500 dual furnace DSC was used for this experiment. A temperature step profile was used with a starting temperature of 40 C with 1 C heating steps at a rate of 75 C/min, with 1 min isothermic holds with 5 repetitions steps to a final temperature of 45 C. First, the temperature profile was run and measured with an empty furnace and reference furnace to establish a baseline. Then the profile was run with two different sapphire standards one of which has a mass at least double the other standard as specified in the manual for the software obtained from University of Rostock.
Samples were cast into DSC pans with diameter approximately 6.5 mm and then sanded and polished to approximately 0.50 mm with 600 grit sandpaper. After samples had been polished, a small amount of high temperature silicone Apiezon H grease was applied for good thermal contact with the DSC. Once samples had been measured with the step profile, the program from University of Rostock was used to calculate the thermal conductivity and heat capacity using the method described in the literature review of Merzlyakov et al.’s research.
2.4. DMA
Dynamic Mechanical Analysis was performed at PerkinElmer in 3-point bend configuration using the PerkinElmer DMA-8000. Samples for DMA were cast into the previously mentioned mold. Samples were carefully removed from the mold. Samples for DMA were tested in the 3-point bend configuration in a PerkinElmer DMA 8000. Samples were tested at 1 cycle per second and a strain of .0050 mm. Analysis of the mechanical response measured by DMA using PerkinElmer software gave a calculated storage modulus and glass transition temperature. Glass transition temperature for DSC and DMA differ in that DSC measures when the endothermic or exothermic phase change occurs, whereas DMA measures when the solid behaves like a glass.
Acknowledgments
The work leading to this manuscript resulted from the efforts of Hildegarde Bell, Anesh Tilwani, Jose Alvarez, BelqaisNagshibandi, Navathej Gobi, Darshan Vijayakumar, Sowba. The work leading to these results received funding from SJSU Research and Creativity Program, NSF I-Corps program through CSUPERB.
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
- 1.Seibert J.R., Keleş Ö., Wang J., Erogbogbo F. Infusion of graphene quantum dots to modulate thermal conductivity and dynamic mechanical properties of polymers. Polymer. 2019:121988. doi: 10.1016/j.dib.2019.105008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Merzlyakov M., Schick C. Thermal conductivity from dynamic response of DSC. Thermochim. Acta. 2001;377:183–191. [Google Scholar]
