2-Ethyl Hexanol + 2-Ethyl Hexyl Acrylate 和 Acrylic Acid + 2-Ethyl Hexyl Acrylate 体系等压气液平衡数据的测量与相关性

IF 2.218 Q2 Chemistry
Abdul Wahab , Muhammad Asif Nawaz , Waqas Ahmed , Yanhong Xu , Jigang Zhao
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引用次数: 0

摘要

本研究在 101.325 千帕的恒压下测量了 2-乙基己醇 + 2-乙基己基丙烯酸酯和丙烯酸 + 2-乙基己基丙烯酸酯二元体系的汽液平衡数据。VLE 实验分析是通过改进的玫瑰蒸馏器进行的。为了验证 VLE 数据的热力学一致性,进行了 Redlich-Kister 面积和 Van Ness 测试。在 Aspen plus 上进行回归,将上述体系的汽液平衡数据与 WILSON、NRTL 和 UNIQUAC 活性系数模型相关联,以获得二元相互作用参数。均方根偏差(RMSD)和平均绝对偏差(AAD)的结果表明,每个模型都适当地拟合了 VLE 实验数据,因为与实验结果的偏差最小。此外,VLE 实验结果表明,每个系统的 VLE 数据都是非各向同性的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement and correlation of the isobaric vapor-liquid equilibria data of 2-Ethyl Hexanol + 2-Ethyl Hexyl Acrylate and Acrylic Acid + 2-Ethyl Hexyl Acrylate systems

In this work, vapor-liquid equilibrium data were measured for the binary systems of 2-ethyl hexanol + 2-ethyl hexyl acrylate and acrylic acid + 2-ethyl hexyl acrylate at a constant pressure of 101.325 kPa. The VLE experimental analysis was conducted through a modified rose still. In order to verify the thermodynamic consistency of the VLE data, the Redlich-Kister area and Van Ness tests were performed. Regression was carried out on Aspen plus to correlate the vapor-liquid equilibrium data of the above systems with WILSON, NRTL and UNIQUAC activity coefficient models to obtain binary interaction parameters. The results of root mean square deviations (RMSD) and average absolute deviations (AAD) depicted that each model appropriately fitted the experimental VLE data since minimum deviations from experimental results were observed. Furthermore, the results of VLE experiments illustrated that the VLE data for each system was non-azeotropic.

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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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