Flash point prediction of binary partially and totally miscible alcohol-water mixtures by various equation of states and experimental validation

Yousefi, Mahdi; Mansouri, Elahe; Salmani, Hossein Jalaei; Moradi, Mohammad Reza; Liaw, Horng‐Jang; Lakzian, Kazem

doi:10.1080/00986445.2023.2205589

Chemical Engineering Communications

2023

DOI: 10.1080/00986445.2023.2205589

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Flash point prediction of binary partially and totally miscible alcohol-water mixtures by various equation of states and experimental validation

Mahdi Yousefi

Elahe Mansouri

Hossein Jalaei Salmani

et al.

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Cited by 4 publications

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“…Most recently, Yousefi et al 80 used the φ−φ approach, to model the FP of binary partially miscible mixtures containing water and alcohols. These authors employed Equation 20 coupled with the CPA EoS, as well as the Peng−Robinson (PR) EoS 81 and SRK.…”

mentioning

confidence: 99%

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Costa do Nascimento,

Souza,

Hentges

et al. 2024

ACS Chem. Health Saf.

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To safely handle, transport, and store flammable or combustible liquids, such as biodiesel and its blends, it is important to have knowledge of a few physical-chemical properties. The Flash Point is an important one, as it is related to the flammability of the fuel blend. It can be experimentally measured through open cup or closed cup standard procedures. However, due to the usual scarcity of experimental data for multicomponent systems, developing a model to predict flash points of mixtures is of interest. To do so, there are a few possible approaches, which include empirical regression of data, vapor pressure-based methods, and QSPR. When it comes to mixtures, the most popular modeling method is based on vapor pressure, which usually employs LeChatelier's rule and vapor−liquid equilibria (VLE) calculations to flash point prediction. Generally, a γ−φ approach is adopted to describe the VLE behavior, although some authors have shown interest in φ−φ approaches. In recent years, studies on QSPR for FP prediction of mixtures have evolved, which represents an advance toward more generalized FP prediction models. Additionally, COSMO type models have been gaining attention in FP prediction, usually associated with vapor pressure models or even empirical models. When it comes to biodiesel though, not much progress has been made since 2014, with just a few works being published since then. This paper seeks to review advances made in FP prediction methods for mixtures in general, while giving attention to those involving biodiesel and petro-diesel.

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confidence: 99%

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Costa do Nascimento,

Souza,

Hentges

et al. 2024

ACS Chem. Health Saf.

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Molecular interactions consideration using Hansen solubility parameters in a multilayer perceptron artificial neural network for flash point prediction of organic liquid mixtures

Jalaei Salmani

2024

J Therm Anal Calorim

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Flash point and safety evaluation of binary mixture of diphenyl ether + biphenyl: A commonly utilized heat transfer fluid

Lakzian,

Liaw

2024

Thermochimica Acta

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Flash point prediction of binary partially and totally miscible alcohol-water mixtures by various equation of states and experimental validation

Cited by 4 publications

References 33 publications

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Molecular interactions consideration using Hansen solubility parameters in a multilayer perceptron artificial neural network for flash point prediction of organic liquid mixtures

Flash point and safety evaluation of binary mixture of diphenyl ether + biphenyl: A commonly utilized heat transfer fluid

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