Speed of Sound in Hydrocarbon-Fatty Acid Methyl Ester Blends: Experimental Investigation and Combining Rule Development

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Chemical & Engineering Data Pub Date : 2024-08-22 DOI:10.1021/acs.jced.4c0016410.1021/acs.jced.4c00164
Jean-Patrick Bazile, Djamel Nasri and Jean-Luc Daridon*, 
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Abstract

This paper presents a comprehensive investigation into predictive modeling of the speed of sound in hydrocarbon-fatty acid methyl ester blends. Experimental work was first conducted at T = 303.15 K in 48 binary systems comprising hydrocarbons from various families, including n-alkanes, iso-alkanes, naphthenes, and aromatics, combined with different fatty acid methyl esters (caprate, myristate, stearate, or oleate). From these measurements, a combining rule capable of predicting the speed of sound in such binary mixtures based on pure component data was proposed. Then, the study extended beyond traditional binary systems to encompass multicomponent mixtures. Finally, through extensive experimentations of the speed of sound as a function of temperature, the effect of temperature on the proposed combining rule parameter was established. The performance of the combining rule was validated against experimental data, revealing a mean deviation of only 0.2%.

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碳氢化合物-脂肪酸甲酯混合物中的声速:实验研究与组合规则的制定
本文对碳氢化合物-脂肪酸甲酯混合物的声速预测模型进行了全面研究。首先在 T = 303.15 K 的温度下对 48 个二元体系进行了实验,这些二元体系由不同系列的碳氢化合物(包括正构烷烃、异构烷烃、环烷烃和芳烃)与不同的脂肪酸甲酯(辛酸酯、肉豆蔻酸酯、硬脂酸酯或油酸酯)混合而成。根据这些测量结果,提出了一种能够基于纯组分数据预测此类二元混合物声速的组合规则。然后,研究范围从传统的二元系统扩展到多组分混合物。最后,通过大量声速与温度函数的实验,确定了温度对所提出的组合规则参数的影响。根据实验数据对组合规则的性能进行了验证,结果显示平均偏差仅为 0.2%。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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