The viscosity of dilute carbon nanotube (1D) and graphene oxide (2D) nanofluids

Autor: Wolfgang K. Maser, Alejandro Ansón-Casaos, Jose M. González-Domínguez, José Carlos Ciria, Ana M. Benito, Sandra Víctor-Román, Enrique García-Bordejé, Olga Sanahuja-Parejo
Přispěvatelé: Ministerio de Economía, Industria y Competitividad (España), European Commission, Gobierno de Aragón, Agencia Estatal de Investigación (España), Ansón Casaos, Alejandro, Ciria, José Carlos, Sanahuja-Parejo, Olga, Víctor-Román, Sandra, González Domínguez, José Miguel, García-Bordejé, José Enrique, Benito, Ana M., Maser, Wolfgang K., Ansón Casaos, Alejandro [0000-0002-3134-8566], Ciria, José Carlos [0000-0002-0048-3036], Sanahuja-Parejo, Olga [0000-0001-9460-7206], Víctor-Román, Sandra [0000-0003-0924-5840], González Domínguez, José Miguel [0000-0002-0701-7695], García-Bordejé, José Enrique [0000-0001-8158-1270], Benito, Ana M. [0000-0002-8654-7386], Maser, Wolfgang K. [0000-0003-4253-0758]
Rok vydání: 2020
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 1463-9084
Popis: 5 Tablas, 7 Figuras.-- Material suplementario disponible en línea en la página web del editor.
Controlling the physicochemical properties of nanoparticles in fluids directly impacts on their liquid phase processing and applications in nanofluidics, thermal engineering, biomedicine and printed electronics. In this work, the temperature dependent viscosity of various aqueous nanofluids containing carbon nanotubes (CNTs) or graphene oxide (GO), i.e. 1D and 2D nanoparticles with extreme aspect ratios, is analyzed by empirical and predictive physical models. The focus is to understand how the nanoparticle shape, concentration, motion degrees and surface chemistry affect the viscosity of diluted dispersions. To this end, experimental results from capillary viscosimeters are first examined in terms of the energy of viscous flow and the maximum packing fraction applying the Maron-Pierce model. Next, a comparison of the experimental data with predictive physical models is carried out in terms of nanoparticle characteristics that affect the viscosity of the fluid, mostly their aspect ratio. The analysis of intrinsic viscosity data leads to a general understanding of motion modes for carbon nanoparticles, including those with extreme aspect ratios, in a flowing liquid. The resulting universal curve might be extended to the prediction of the viscosity for any kind of 1D and 2D nanoparticles in dilute suspensions.
This work has been funded by the Spanish MINEICO under the project ENE 2016-79282-C5-1-R (AEI/FEDER, UE), the Government of Aragón (Grupo reconocido T03-20R) and associated EU Regional Development Funds (DGA/FEDER, UE). SVR thanks Spanish MINEICO for her PhD grant (BES2014-068727 and associated EU Social Funds). J.M.G.-D. greatly acknowledges Spanish Ministry of Science, Innovation and Universities (MICINN, formerly MINEICO) for his “Juan de la Cierva – incorporación” grant (Ref. JCI-2016-27789). We also acknowledge institutional support from the Unit of Information Resources for Research at the "Consejo Superior de Investigaciones Científicas" (CSIC) for the article-processing charges contribution.
Databáze: OpenAIRE