月桂酸烷基酯和烷醇三元共混物在不同温度和大气压下的超摩尔体积、超等熵压缩率和超声速

IF 2.218 Q2 Chemistry
Sunita Malik , Poonam Jangra Darolia , Dimple Sharma , V.K. Sharma
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引用次数: 0

摘要

研究人员将注意力集中在生物柴油或其与柴油或醇的混合物的热力学研究上。这种混合物被认为是汽车工业的替代燃料。本研究系统地计算了三元月桂酸甲酯(1)+月桂酸乙酯(2)+ 1-丙醇或2-丙醇(3)混合物在288.15至313.15 K温度范围内的超摩尔体积V123E、超等熵压缩率(κSE)123和超声速u123E(使用测量的密度和声速),步长为5k。对现有共混物的V123E、(κSE)123和u123e3的分析表明,与月桂酸甲酯+月桂酸乙酯+ 1-丙醇相比,三元月桂酸甲酯+月桂酸乙酯+ 2-丙醇共混物的组分之间存在较强的相互作用/有效的填充。此外,还观察到温度的升高导致混合状态下分子间相互作用强度的降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excess molar volumes, excess isentropic compressibilities and excess speeds of sound of the ternary blends comprising of alkyl laurates and alkanols at various temperatures and atmospheric pressure

Researchers have focused their attention on the thermodynamical investigation of biodiesel or its blends with diesel or alkanols. Such blends are considered as alternative fuel in automobile industries. This work is a systematic computation of excess molar volumes, V123E, excess isentropic compressibilities, (κSE)123 and excess speeds of sound, u123E (using measured densities and speeds of sound) of ternary methyl laurate (1) + ethyl laurate (2) + 1-propanol or 2-propanol (3) blends at temperatures ranging from 288.15 to 313.15 K in a step of 5 K. The interpretation of V123E, (κSE)123 and u123Eof present blends suggest that there is strong interactions/effective packing among the components of ternary methyl laurate + ethyl laurate + 2-propanol blend in comparison to methyl laurate + ethyl laurate + 1-propanol. Further, it has been observed that enhancement in temperature leads in decrease in strength of interactions among the molecules in mixed state.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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