Carbon Nanotube-Based Ionanofluids for Efficient Energy Storage: Thermophysical Properties’ Determination and Advanced Data\nAnalysis.

0542598 - ÚCHP 2022 RIV US eng J - Journal Article
Parmar, Nirmal - Bendová, Magdalena - Wagner, Zdeněk - Pěnkavová, Věra - Douihri, I. - Jacquemin, J.
Carbon Nanotube-Based Ionanofluids for Efficient Energy Storage: Thermophysical Properties’ Determination and Advanced Data
Analysis.
Industrial and Engineering Chemistry Research. Roč. 60, č. 20 (2021), s. 7714-7728. ISSN 0888-5885
R&D Projects: GA MŠMT(CZ) 8J19FR033
Grant - others:PHC(CA) 42771VL
Institutional support: RVO:67985858
Keywords : melting * heat capacity * nanoparticles
OECD category: Physical chemistry
Impact factor: 4.326, year: 2021
Method of publishing: Open access with time embargo

Ionanofluids (INFs), ionic liquids (ILs) containing dispersed nanoparticles, show fascinating thermophysical properties. The amount of dispersed nanoparticles influences the properties of the base IL, allowing for a fine-tuning of the properties of the resulting INF. Even though INFs have been studied for more than a decade now, sufficient and reliable data are still lacking. The aim of this work is to report on the heat capacity, viscosity, melting temperature, and electrical conductivity of INFs based on 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide as a function of multi-wall carbon nanotube compositions. In this work, mathematical gnostics has been also used to estimate the uncertainty in each measured property. Moreover, a robust linear regression along a gnostic influence function was used to find the best curve fit for the measured data.
Permanent Link: http://hdl.handle.net/11104/0320701