Practical data correlation of flashpoints of binary mixtures by a reciprocal function: The concept and numerical examples

Hristova, Mariana; Damgaliev, D.; Hristov, Jordan

doi:10.2298/tsci110608067h

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…The method was conceived with data about FP of water-alcohol mixtures [14] using the relationship based on following reciprocal function: where y is the scaled (dimensionless) FP temperature of given flammable mixture and x -the molar fraction of the alcohol. In eq.…”

Section: One Flammable Componentmentioning

confidence: 99%

“…Additionally, some examples of mixtures exhibiting strong concave behavior due to partial immiscibility of components were tested. Mixtures with extrema (maxima or minima) in the FP [13][14][15][16] are beyond the scope of Table 2. Mixture flash points of n-decane(1)-n-dodecane(2)…”

Section: The Target Of the Proposed Approachmentioning

confidence: 99%

“…(14) there are terms depending on T b (it is a function of the molar fractions) that should be avoided. If the FP temperatures of the pure compounds forming a given mixture are known, then without loss of generality the relation (14) can be expressed as a function of the molar concentration of the high-volatility component, namely:…”

Section: The Construct Of the Dimensionless Relationship: How It Shoumentioning

confidence: 99%

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Straightforward dimensionless experimental formulae for flash point of binary mixtures of two flammable components

Hristova¹,

Damgaliev²,

Hristov³

2012

THERM SCI

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Dimensionless experimental formulae based on a rational reciprocal function for correlation of flashpoint data of binary mixtures of two flammable components have been developed. The formulae are based on data obtained from flash-point experiments. The proposed approach requires only two coefficients, molar fraction of components and flashpoint temperatures of the pure flammable components to be known in advance. Literature data were used for formulae verification and validation obtained results indicate that accuracy is comparable and to some extent better than that of conventional flash point prediction models. Dimensional analysis and scaling of data have been performed in order to define the correct construction of the equation fitting flash-point data in dimensionless form using the independent variables suggested by Catoire. Stefan number relevant flash-point of a single compound or a blend has been defined

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Section: One Flammable Componentmentioning

confidence: 99%

Section: The Target Of the Proposed Approachmentioning

confidence: 99%

Section: The Construct Of the Dimensionless Relationship: How It Shoumentioning

confidence: 99%

See 1 more Smart Citation

Straightforward dimensionless experimental formulae for flash point of binary mixtures of two flammable components

Hristova¹,

Damgaliev²,

Hristov³

2012

THERM SCI

Self Cite

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“…The results exhibited differences between experimental and predicted values for some nonideal binary blends such as ethanol/ n -octane (4.5 °C) and methanol/methyl acetate (6 °C). Some methods have correlated FP with the physical properties of the blend components, − but they are not extensible to blends composed of other substances. Agarwal et al, Liu et al, and Kumar et al used neural networks to predict FP of aviation fuels and biodiesel fuels (blends of different methyl esters) and reported better results than those obtained previously from correlations.…”

Section: Introductionmentioning

confidence: 99%

“…However, they pointed out that QSPR methods, combined with near-infrared spectroscopy, will have even better prediction capability in the future. In addition, Phoon et al compared the methods based on correlations , with those based on QSPR and with those based on the Le Chatelier equation ,, and found that the best prediction capability was obtained with the latter ones, even in the case of nonideal mixtures. Among these methods, that proposed by Liaw was proved to be the most efficient.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Flash-Point Temperature of Alcohol/Biodiesel/Diesel Fuel Blends

Álvarez

Lapuerta

Agudelo

2019

Ind. Eng. Chem. Res.

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Significant advances have been achieved in the last decades for predicting flash point, not only for pure substances but also for multicomponent fuels, even if they are complex nonideal mixtures. This is the case of blends of alcohols with diesel or diesel/biodiesel fuels. Prevention of hazards is necessary when a light and volatile alcohol such as ethanol or n-butanol (with increasing interest as diesel fuel components) is included in the fuel composition. However, an accurate modeling requires detailed knowledge of the diesel fuel components, which is not always available. In this work, a tailored two-option model is proposed, which can be use depending on the information available. If detailed information about the diesel fuel composition is available, a first method based on the Liaw equation is recommended. If not, an extended method based on the combination of the Liaw equation and the Gibbs−Duhem equation is proposed instead, with diesel fuel being represented by a three-component surrogate (one component belonging to each of the main diesel-component families). These two methods were compared with experimental flash-point results, and it was shown that the simplified method provides results as accurate as the complete method, and only if results for ethanol blends are considered unreliable, the complete method would be slightly more accurate. Both experimental and modeled results show that the rate of decrease of flash point is sharper for ethanol than for n-butanol, but the latter presents a more noticeable minimum flash-point behavior. However, the presence of biodiesel in the blends has the potential to neutralize both hazardous behaviors.

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Flashpoint Prediction for Binary Mixtures of Alcohols with Water in Order to Improve their Safety

et al. 2015

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Aqueous solutions of alcohols are of considerable interest for a wide range of scientists and technologists. Simple dimensionless experimental formulae based on rational reciprocal and polynomial functions are proposed for correlation of the flashpoint data of binary mixtures of two components. The formulae are based on data obtained from flashpoint experiments and predictions. The main results are the derived flashpoint approximated values and the model verification by comparing the predicted values with the experimental data for the studied mixtures. Potential application for the model concerns the assessment of fire and explosion hazards, and the development of inherently safer designs for chemical processes containing binary partially miscible mixtures of an aqueous‐organic system.

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Practical data correlation of flashpoints of binary mixtures by a reciprocal function: The concept and numerical examples

Cited by 9 publications

References 8 publications

Straightforward dimensionless experimental formulae for flash point of binary mixtures of two flammable components

Straightforward dimensionless experimental formulae for flash point of binary mixtures of two flammable components

Prediction of Flash-Point Temperature of Alcohol/Biodiesel/Diesel Fuel Blends

Flashpoint Prediction for Binary Mixtures of Alcohols with Water in Order to Improve their Safety

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