Isobaric heat capacity of nanostructured liquids with potential use as lubricants

Salgado, Juan José; Teijeira, Tamara; Parajó, Juan José; Fernández, Josefa; Troncoso, Jacobo

doi:10.1016/j.jct.2018.03.031

Cited by 17 publications

(2 citation statements)

References 39 publications

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“…Figure 21 displays the difference in experimental findings for median specific heat capacity versus temperature in the base fluid (SAE 40) and CNC-CuO nanolubricant at different concentrations. Oil, in addition to a higher specific heat capacity rate, shows a reduced temperature rise for the total absorption of heat energy; hence, the greater value of Cp in the lubricant is improved in heat transfer [79]. Hence, the specific heat capacity of the nanolubricants is an essential criterion for enhancing the load-carrying threshold of the system.…”

Section: Specific Heat Capacity At Different Temperatures and Solid C...mentioning

confidence: 99%

Improving the thermophysical properties of hybrid nanocellulose-copper (II) oxide (CNC-CuO) as a lubricant additives: A novel nanolubricant for tribology application

Kamarulzaman

Hisham²,

Kadirgama³

et al. 2023

Fuel

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Section: Specific Heat Capacity At Different Temperatures and Solid C...mentioning

confidence: 99%

Improving the thermophysical properties of hybrid nanocellulose-copper (II) oxide (CNC-CuO) as a lubricant additives: A novel nanolubricant for tribology application

Kamarulzaman

Hisham²,

Kadirgama³

et al. 2023

Fuel

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“…A comprehensive heat capacity database was compiled from the NIST ILThermo database based on the data available from over 150 references. − …”

Section: Methodsmentioning

confidence: 99%

Prediction of Liquid Phase Heat Capacity of Ionic Liquids: Comparison of Existing Methods and Development of New Hybrid Group Contribution Models

Liaqat,

Shahin,

Nancarrow

et al. 2023

Ind. Eng. Chem. Res.

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Estimation of the liquid phase heat capacity of ionic liquids (ILs) is necessary in order to select and design the optimum ILs for specific industrial applications, particularly those involving thermal storage and heat transfer. Most attempts at estimating the heat capacity (at the constant pressure) of ILs have followed the group contribution model (GCM) approach, but these have involved the use of limited databases and cannot be applied to a wide range of ILs. In this study, an extensive database of over 11500 data points with 273 unique ILs, made up of 155 unique cations and 74 unique anions, was compiled and used to assess three commonly used GCMs. GCM-1 is less complicated than the other two in terms of its mapping parameters but is more restricted in terms of its applicability. GCM-2 and GCM-3 are more complex and have been further improved by incorporating additional functional groups and indirect parameters. The results have shown that GCM-2 and GCM-3 have performed better than GCM-1 in terms of their mean absolute percentage error (MAPE) (2.37% for GCM-1, 2.27% for GCM-2, and 2.17% for GCM-3) and enable heat capacity prediction for a wider range of ILs.

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Heat capacity of (ethanol + diamond) nanofluid near the critical point of base fluid (ethanol)

Полихрониди

Batyrova

Abdulagatov

2018

J Therm Anal Calorim

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Isobaric heat capacity of nanostructured liquids with potential use as lubricants

Cited by 17 publications

References 39 publications

Improving the thermophysical properties of hybrid nanocellulose-copper (II) oxide (CNC-CuO) as a lubricant additives: A novel nanolubricant for tribology application

Improving the thermophysical properties of hybrid nanocellulose-copper (II) oxide (CNC-CuO) as a lubricant additives: A novel nanolubricant for tribology application

Prediction of Liquid Phase Heat Capacity of Ionic Liquids: Comparison of Existing Methods and Development of New Hybrid Group Contribution Models

Heat capacity of (ethanol + diamond) nanofluid near the critical point of base fluid (ethanol)

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