High-Temperature Performance Evaluation of a Novel Graphene-Based Aerogel
DOI:
https://doi.org/10.21152/1750-9548.18.1.97Abstract
This paper provides an in-depth analysis of the thermal and mechanical properties of Ethylenediamine Graphene Aerogel (EGA) using COMSOL Multiphysics software. The study focuses on understanding the stress distribution and mechanical responses of this material under various conditions. Thermal stress applied to the bottom of a cylindrical structure revealed distinct stress patterns over time and temperature. High-stress regions were noted towards the cylinder's center, suggesting the effects of temperature fluctuations, while the upper surface experienced lower stress. The von Mises stress increased over time, indicating the material's response to heat, particularly near the heat source, and stabilized around 40 minutes, suggesting a new thermal equilibrium. A critical observation was made at a critical region from the cylinder's bottom, where a significant shift in stress patterns and performance characteristics occurred, emphasizing the need to consider these variations in design for safety and functionality. This study highlights the material’s low thermal conductivity and its role in temperature distribution, demonstrating its capability to manage thermal expansion effectively. These properties make the Ethylenediamine Graphene Aerogel suitable for high-temperature applications such as aerospace, automotive, and thermal barrier systems, and open avenues for further applications.
References
Y. Lu, X. Li, X. Yin, H. D. Utomo, N. F. Tao, and H. Huang, "Silica Aerogel as Super Thermal and Acoustic Insulation Materials," J Environ Prot (Irvine, Calif), vol. 09, no. 04, 2018. https://doi.org/10.4236/jep.2018.94020
Y. Xu, K. Sheng, C. Li, and G. Shi, "Self-assembled graphene hydrogel via a one-step hydrothermal process," ACS Nano, vol. 4, no. 7, 2010. https://doi.org/10.1021/nn101187z
R. Ma et al., "Multidimensional graphene structures and beyond: Unique properties, syntheses and applications," Progress in Materials Science, vol. 113. 2020. https://doi.org/10.1016/j.pmatsci.2020.100665
C. I. L. Justino, A. R. Gomes, A. C. Freitas, A. C. Duarte, and T. A. P. Rocha-Santos, "Graphene based sensors and biosensors," TrAC - Trends in Analytical Chemistry, vol. 91. 2017. https://doi.org/10.1016/j.trac.2017.04.003
S. Kumar et al., "Electrochemical Sensors and Biosensors Based on Graphene Functionalized with Metal Oxide Nanostructures for Healthcare Applications," ChemistrySelect, vol. 4, no. 18. 2019. https://doi.org/10.1002/slct.201803871
V. Jain and B. Kandasubramanian, "Functionalized graphene materials for hydrogen storage," Journal of Materials Science, vol. 55, no. 5. 2020. https://doi.org/10.1007/s10853-019-04150-y
X. Zhao et al., "A review of studies using graphenes in energy conversion, energy storage and heat transfer development," Energy Conversion and Management, vol. 184. 2019. https://doi.org/10.1016/j.enconman.2019.01.092
A. G. Olabi, M. A. Abdelkareem, T. Wilberforce, and E. T. Sayed, "Application of graphene in energy storage device - A review," Renewable and Sustainable Energy Reviews, vol. 135. 2021. https://doi.org/10.1016/j.rser.2020.110026
S. K. Tiwari, V. Kumar, A. Huczko, R. Oraon, A. De Adhikari, and G. C. Nayak, "Magical Allotropes of Carbon: Prospects and Applications," Critical Reviews in Solid State and Materials Sciences, vol. 41, no. 4. 2016. https://doi.org/10.1080/10408436.2015.1127206
S. Araby, A. Qiu, R. Wang, Z. Zhao, C. H. Wang, and J. Ma, "Aerogels based on carbon nanomaterials," Journal of Materials Science, vol. 51, no. 20. 2016. https://doi.org/10.1007/s10853-016-0141-z
B. Singh and M. Dhiman, "Carbon aerogels for environmental remediation," in Advances in Aerogel Composites for Environmental Remediation, 2021. https://doi.org/10.1016/B978-0-12-820732-1.00012-6
Z. S. Wu, S. Yang, Y. Sun, K. Parvez, X. Feng, and K. Müllen, "3D nitrogen-doped graphene aerogel-supported Fe 3O 4 nanoparticles as efficient electrocatalysts for the oxygen reduction reaction," J Am Chem Soc, vol. 134, no. 22, 2012. https://doi.org/10.1021/ja3030565
V. Deerattrakul, P. Puengampholsrisook, W. Limphirat, and P. Kongkachuichay, "Characterization of supported Cu-Zn/graphene aerogel catalyst for direct CO2 hydrogenation to methanol: Effect of hydrothermal temperature on graphene aerogel synthesis," Catal Today, vol. 314, 2018. https://doi.org/10.1016/j.cattod.2017.12.010
M. Kotal, J. Kim, J. Oh, and I. K. Oh, "Recent progress in multifunctional graphene aerogels," Frontiers in Materials, vol. 3. 2016. https://doi.org/10.3389/fmats.2016.00029
M. A. Worsley, P. J. Pauzauskie, T. Y. Olson, J. Biener, J. H. Satcher, and T. F. Baumann, "Synthesis of graphene aerogel with high electrical conductivity," J Am Chem Soc, vol. 132, no. 40, 2010. https://doi.org/10.1021/ja1072299
Z. Wang et al., "Ultralight, highly compressible and fire-retardant graphene aerogel with self-adjustable electromagnetic wave absorption," Carbon N Y, vol. 139, 2018. https://doi.org/10.1016/j.carbon.2018.08.014
H. Hu, Z. Zhao, W. Wan, Y. Gogotsi, and J. Qiu, "Ultralight and highly compressible graphene aerogels," Advanced Materials, vol. 25, no. 15, 2013. https://doi.org/10.1002/adma.201204530
J. Li et al., "Ultra-light, compressible and fire-resistant graphene aerogel as a highly efficient and recyclable absorbent for organic liquids," J Mater Chem A Mater, vol. 2, no. 9, 2014. https://doi.org/10.1039/c3ta14725h
C. Li, L. Qiu, B. Zhang, D. Li, and C. Y. Liu, "Robust Vacuum-/Air-Dried Graphene Aerogels and Fast Recoverable Shape-Memory Hybrid Foams," Advanced Materials, vol. 28, no. 7, 2016. https://doi.org/10.1002/adma.201504317
G. Zu et al., "Superelastic Multifunctional Aminosilane-Crosslinked Graphene Aerogels for High Thermal Insulation, Three-Component Separation, and Strain/Pressure-Sensing Arrays," ACS Appl Mater Interfaces, vol. 11, no. 46, 2019. https://doi.org/10.1021/acsami.9b16746
Q. Han, L. Yang, Q. Liang, and M. Ding, "Three-dimensional hierarchical porous graphene aerogel for efficient adsorption and preconcentration of chemical warfare agents," Carbon N Y, vol. 122, 2017. https://doi.org/10.1016/j.carbon.2017.05.031
S. Tang et al., "Dye adsorption by self-recoverable, adjustable amphiphilic graphene aerogel," J Colloid Interface Sci, vol. 554, 2019. https://doi.org/10.1016/j.jcis.2019.07.041
S. Dong et al., "Controlled synthesis of flexible graphene aerogels macroscopic monolith as versatile agents for wastewater treatment," Appl Surf Sci, vol. 445, 2018. https://doi.org/10.1016/j.apsusc.2018.03.132
C. Wang, S. Yang, Q. Ma, X. Jia, and P. C. Ma, "Preparation of carbon nanotubes/graphene hybrid aerogel and its application for the adsorption of organic compounds," Carbon N Y, vol. 118, 2017. https://doi.org/10.1016/j.carbon.2017.04.001
M. Hasanpour and M. Hatami, "Application of three dimensional porous aerogels as adsorbent for removal of heavy metal ions from water/wastewater: A review study," Advances in Colloid and Interface Science, vol. 284. 2020. https://doi.org/10.1016/j.cis.2020.102247
G. Nassar, S. Youssef, and R. Habchi, "Nitrogen-doped graphene aerogels for highly efficient toluene removal from water," Graphene and 2D Materials, vol. 7, no. 1-2, 2022. https://doi.org/10.1007/s41127-022-00049-9
M. H. Tavakoli Dastjerdi, G. Habibagahi, A. Ghahramani, A. Karimi-Jashni, and S. Zeinali, "Removal of dissolved toluene in underground water with nanowires of manganese oxide," Adsorption Science and Technology, vol. 36, no. 1-2, 2018. https://doi.org/10.1177/0263617417698469
T. AlZoubi, B. Mourched, M. Al Gharram, G. Makhadmeh, and O. Abu Noqta, "Improving Photovoltaic Performance of Hybrid Organic-Inorganic MAGeI3 Perovskite Solar Cells via Numerical Optimization of Carrier Transport Materials (HTLs/ETLs)," Nanomaterials, vol. 13, no. 15, 2023. https://doi.org/10.3390/nano13152221
B. Mourched, S. Sawaya, M. Abdallah, and N. Abboud, "Effect of Buffer Layer selection on Perovskite-Based Solar Cell Efficiency: A Simulation Study Using OghmaNano Software," International Journal of Multiphysics, vol. 17, no. 2, 2023. https://doi.org/10.21152/1750-9548.17.2.135
B. Mourched, N. Abboud, M. Abdallah, and M. Moustafa, "Electro-Thermal simulation study of MOSFET modeling in Silicon and Silicon carbide," International Journal of Multiphysics, vol. 16, no. 4, 2022. https://doi.org/10.21152/1750-9548.16.4.383
B. Mourched and M. Abdallah, "Design and characterization of a new microscopy probe using COMSOL and ANSYS," International Journal of Multiphysics, vol. 16, no. 1, 2022. https://doi.org/10.21152/1750-9548.16.1.95
B. Qi et al., "Experimental and Numerical Investigation of Temperature Development of Ohmic Heating Cured Nonmass Concrete under Subzero Temperature," Advances in Civil Engineering, vol. 2021, 2021. https://doi.org/10.1155/2021/9927910
Y. Liu and X. Huang, "Effects of flash sintering parameters on performance of ceramic insulator†," Energies (Basel), vol. 14, no. 4, 2021. https://doi.org/10.3390/en14041157
A. Laouar and D. Omeiri, "Parametric study with simulation of transport phenomenon of a solid oxide fuel cell," International Journal of Multiphysics, vol. 13, no. 4, 2019. https://doi.org/10.21152/1750-9548.13.4.381
S. Chugh, S. Ghosh, A. Gulistan, and B. M. A. Rahman, "Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses," Journal of Lightwave Technology, vol. 37, no. 24, 2019. https://doi.org/10.1109/JLT.2019.2946572
B. Mourched et al., "Piezoelectric-Based Sensor Concept and Design with Machine Learning-Enabled Using COMSOL Multiphysics," Applied Sciences (Switzerland), vol. 12, no. 19, 2022. https://doi.org/10.3390/app12199798
B. Mourched, M. Abdallah, M. Hoxha, and S. Vrtagic, "Machine-Learning-Based Sensor Design for Water Salinity Prediction: A Conceptual Approach," Sustainability (Switzerland), vol. 15, no. 14, 2023. https://doi.org/10.3390/su151411468
W. Hao, Y. Huang, and G. Zhao, "Acoustic sources localization for composite pate using arrival time and BP neural network," Polym Test, vol. 115, 2022. https://doi.org/10.1016/j.polymertesting.2022.107754
U. Demircioğlu, A. Sayil, and H. Bakır, "Detecting Cutout Shape and Predicting Its Location in Sandwich Structures Using Free Vibration Analysis and Tuned Machine-Learning Algorithms," Arab J Sci Eng, 2023. https://doi.org/10.1007/s13369-023-07917-3
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