Effect of pressure on nanomaterials

The high-pressure compression behaviour of the nanomaterials 3C-SiC, Zr 0.1 Ti 0.9 O 2 , CuO, AlN, TiO 2 (anatase), TiO 2 (rutile), ␣-Fe 2 O 3 , ␥-Fe 2 O 3 , -Fe and Rb 3 C 60 was studied in two theoretical equation of state (EOS) models. In the first model, we considered the pressure to be quadratic in terms of relative volume change, while in the second model pressure was considered to be quadratic in density. The experimental data show that the second model gives better results. The two models were also studied for their suitability in cases of very high compression.

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“…(4) with that of Sharma and Kumar (Shanker EOS) for a number of nanomaterials previously studied by those authors [15].…”

Section: Methodsmentioning

confidence: 95%

“…Sharma and Kumar [15] published an equation for determining the effect of pressure on nanomaterials, in which pressure, P, is a function of the relative change in volume (1 − V/V 0 ):…”

Section: Methodsmentioning

confidence: 99%

Equation of state model for studying high-pressure compression behaviour of nanomaterials

Kholiya

Chandra²

2014

Journal of Taibah University for Science

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“…As indicated in Eqs. (21), this property is closely related to the derivative of the pressure with respect to density or packing fraction at constant temperature.In this section, the values of isothermal compressibility coefficients of some selected nanofluids were estimated thorough our proposed PHS EOS. Figure 3 is provided to show how the predicted isothermal compressibilities pass through the literature data points [56,59].…”

Section: Isothermal Compressibilitymentioning

confidence: 99%

“…The densities of nanofluids and nanomaterial have been correlated based on the several EOSs and PρT correlations. The most widely used one is Tammann-Tait equation [18][19][20]and that was adopted for nanometer sized particles by Sharma-Kumar [21] and Pak-Cho [22]. Sharma and Kumar developed an EOS for nanomaterials as follows:…”

Section: Introductionmentioning

confidence: 99%

“…where, P is the pressure, V/V 0 the relative change in volumes and 0 refers to their initial condition. a 1 and a 2 are the size-dependent parameters, which have been proposed to be determined from the definition of bulk modulus and its first order pressure derivative [21].Very Recently, Sugata and Piri [23] employed a perturbedchain statistical associating fluid theory (PC-SAFT) coupled with Young-Laplace equation [24] to investigate and represent fluid-phase equilibria in nanosize pores. Pak and Cho [22]presented the general equation for representing the density of nanofluids as follows:…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of perturbed hard-sphere equation of state to the study of volumetric properties of nano-fluids

Hosseini

Alavianmehr

Moghadasi

2016

Fluid Phase Equilibria

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This paper aimed to examine the application of a perturbed hard-sphere (PHS) scheme for modeling the volumetric properties of nanofluids. In this regard, PHS scheme has been employed to develop an analytical equation of state (EOS) to correlate and predict the volumetric properties of some nanofluids containing SnO 2 ,ZnO, Co 3 O 4 , TiO 2-anatase (-A), TiO 2-rutile (-R), CuO and Al 2 O 3 as nanoparticles dispersed in ethylene glycol, poly ethylene glycol, water, poly ethylene glycol+water and ethylene glycol+water as base fluids. Two temperature-dependent parameters appeared in the EOS were expressed in terms of molecular scaling constants σ, the effective hardsphere diameter, and ε, the non-bonded interaction energy. The aforementioned scaling constants were correlated with melting temperatures and true densities which demonstrated the rationality of these constants. The performance of the proposed model was assessed by predicting 1348 density data, for which their measured values were available in the literature over the pressure range from 0.1 to 45MPa and temperature range from 273 to 363 K. The overall average absolute deviation (AAD) of the correlated (at 0.1 MPa) and predicted (at elevated pressures) densities of 9studied nanofluids from the experimental data was found to be 0.44%.Generally, this work showed thatPHS is an appropriate scheme for the correlation and prediction of the properties of this class of fluids by the help of crossed interaction parameters between nanoparticles and base fluid molecules. The isothermal compressibility coefficients and excess volumes of studied nanofluids have also been investigated by the proposed model.

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Deformation in Nanomaterials

Pelleg

2021

Mechanical Properties of Nanomaterials

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Effect of pressure on nanomaterials

Cited by 22 publications

References 28 publications

Equation of state model for studying high-pressure compression behaviour of nanomaterials

Equation of state model for studying high-pressure compression behaviour of nanomaterials

Application of perturbed hard-sphere equation of state to the study of volumetric properties of nano-fluids

Deformation in Nanomaterials

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