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Study of change in heat capacity of carbon nanotubes based ionanofluid prepared from a series of imidazolium ionic liquids

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F22%3A00560297" target="_blank" >RIV/67985858:_____/22:00560297 - isvavai.cz</a>

  • Result on the web

    <a href="https://hdl.handle.net/11104/0333285" target="_blank" >https://hdl.handle.net/11104/0333285</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1039/D2CP02110B" target="_blank" >10.1039/D2CP02110B</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study of change in heat capacity of carbon nanotubes based ionanofluid prepared from a series of imidazolium ionic liquids

  • Original language description

    Ionanofluids (INFs), nanoparticles dispersed into a base fluid, e.g. an ionic liquid, are a novel class of an alternative heat transfer fluids. An addition of nanoparticles into base ionic liquid is the prime reason for an enhancement in thermophysical properties of ionanofluids. However, due to very limited research on ionanofluids, further studies are required to understand change in isobaric heat capacity of ionanofluids as a function of the size of cation of base ionic liquids structure and concentration of nanoparticles. Herein, isobaric heat capacity was measured as a function of temperature for the prepared ionanofluids samples from a series of imidazolium ionic liquids and multi wall carbon nanotubes (MWCNT). Moreover, the influence of the size of cation on the isobaric heat capacity enhancement mechanism and stability of ionanofluid samples were studied. Furthermore, experimental isobaric heat capacity data were assessed by a novel non-statistical data analysis method named as mathematical gnostics (MG). MG marginal analysis was used to evaluate most probable values from the measured data set. A robust linear regression along a gnostic influence function was also used to find the best fit to correlate measured data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10403 - Physical chemistry

Result continuities

  • Project

    <a href="/en/project/8J19FR033" target="_blank" >8J19FR033: Design, formulation, and characterization of novel ionic media for thermal and electric energy storage and transfer</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physical Chemistry Chemical Physics

  • ISSN

    1463-9076

  • e-ISSN

    1463-9084

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    36

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    22181-22190

  • UT code for WoS article

    000852664200001

  • EID of the result in the Scopus database

    2-s2.0-85138458416