Thermal expansion coefficient and algebraic models to correct values of specific mass as a function of temperature for corn biodiesel

Santos, Douglas Queiroz; Lima, Ana Lúcia de; Lima, Ana Paula de; Neto, Waldomiro Borges; Fabris, José Domingos

doi:10.1016/j.fuel.2012.10.048

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…The values of α p at standard conditions ( T = 298.15 K, p = 0.1 MPa) for CSO and CSB are similar, 7.16 × 10 –4 and 7.38 × 10 –4 K –1 , respectively. The value of α p at those standard conditions for CSB is lower than the mean ⟨α p ⟩ = (8.237 ± 0.249) × 10 –4 K –1 calculated over 19 biodiesels in our previous work and also lower than the value of Diesel D-2 (8.20 ± 0.16) × 10 –4 K –1 calculated from the density data measured by Tat and Van Gerpen and Santos et al…”

Section: Results and Discussioncontrasting

confidence: 70%

Density of Cottonseed Oil and Biodiesel

et al. 2018

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The cottonseed oil (CSO) extraction and processing areas including biodiesel (CSB) production created the need for density availability over wide ranges of temperature and pressure. In this work, densities of CSO and CSB were measured. The measurement of CSO density under pressure has never been reported in the literature. To address this limitation, this work reports new experimental data of densities of CSO measured at temperatures from 278 to 358 K and pressures from atmospheric up to 30 MPa using a vibrating tube densimeter. The measured densities of CSO were correlated with the Goharshadi−Morsali−Abbaspour equation of state (GMA EoS) with an absolute average relative deviation of 0.02%. The coefficients of GMA EoS for CSO and CSB were used to calculate the thermal expansivity and isothermal compressibility which influence power and fuel injection and they are rarely presented for vegetable oils and biodiesel, especially at high pressures. The group contribution method GCVOL, Halvorsen model, and Zong fragmentbased approach were used to evaluate the predictive abilities of CSO density data. Good predictions of oil densities were achieved with Halvorsen model for which absolute deviations are in the range of uncertainty of the measurements.

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Section: Results and Discussioncontrasting

confidence: 70%

Density of Cottonseed Oil and Biodiesel

et al. 2018

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“…That value was near the one obtained for Diesel D-2 (8.03 Â 10 À4 K À1 ), from the density data measured by Tat and Van Gerpen [21] at the same (T, p) conditions. Santos et al [63] presented almost the same thermal expansivity for diesel (8.36 Â 10 À4 K À1 ) and corn biodiesel (8.39 Â 10 À4 K À1 ) obtained from density measurements in the range of 283.15-323.15 K at atmospheric pressure. However, Aparício et al [24] concluded that diesel had greater thermal expansivity than rapeseed biodiesel with differences increasing with temperature (7% at 288.15 K, 16% at 308.15 K and 22% at 328.15 K).…”

Section: Mechanical Coefficientsmentioning

confidence: 62%

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Prieto

Ferreira

Portugal

et al. 2015

Fuel

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“…Therefore, the temperature component can vary, and using commercially available thermometers, it can be reduced and made smaller compared to the other components of combined uncertainty for tank gauging [28,38,39]. Values of the coefficient for different materials can be obtained when calculated from specific volumes (densities) measured within a temperature range [40,41]. It is usually selected from the tables provided in the standards [42].…”

Section: Evaluation Of the Product Mass In The Tankmentioning

confidence: 99%

Analysis of Liquid Quantity Measurement in Loading/Unloading Processes in Cylindrical Tanks

et al. 2022

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Tanks, as instruments in oil and its product’s amount measurement system chain, must be regularly maintained and metrologically inspected, as they significantly contribute to measurement uncertainty. However, when measuring a change in the amount of stored material (i.e., transfer), the measurement uncertainty becomes highly dependent not only on the mass of the transaction but also on the initial liquid level in the tank. This paper provides modeling of the uncertainties of the measuring system, which involves tanks, oil, and its product loading/unloading processes. It is shown that the accuracy of volume/mass measurement depends not only on the tank calibration table but also on the accuracy of other measuring instruments used and on the level of the liquid at the moment of measurement. The relative uncertainty of the measurement of the change in product mass depends linearly on the tank fill level present at the time of the transaction but nonlinearly on the transaction mass quantity.

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Thermal expansion coefficient and algebraic models to correct values of specific mass as a function of temperature for corn biodiesel

Cited by 8 publications

References 26 publications

Density of Cottonseed Oil and Biodiesel

Density of Cottonseed Oil and Biodiesel

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Analysis of Liquid Quantity Measurement in Loading/Unloading Processes in Cylindrical Tanks

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