在压力高达600兆帕的1-辛醇粘度的测量和熵缩放

IF 2.9 4区 工程技术 Q3 CHEMISTRY, PHYSICAL
Dennis Alt, Sebastian Schmitt, Hans Hasse, Simon Stephan
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引用次数: 0

摘要

1-辛醇的粘度是通过实验确定的,并使用经验模型和物理模型进行建模。用降体粘度计在压力为600 MPa、温度为293.15 ~ 373.15 K的条件下测定了液体1-辛醇的粘度。对于基于物理的建模,使用熵标度结合基于分子的状态方程,即SAFT-VR Mie。此外,为了评估粘度测量结果,使用SAFT-VR Mie EOS来描述流体的密度。新的粘度数据大大扩展了现有的文献数据。对于新的实验数据,大多数数据点的相对扩展不确定度在10%以下。此外,还建立了一个经验模型来表示这项工作的实验数据。最后,利用熵标度模型对1-辛醇在气态、液态、超临界和亚稳态等多种状态下的粘度进行了描述和测试。它很好地描述了所有可用的实验数据,并且在用于外推时具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurements and Entropy Scaling of the Viscosity of 1-Octanol at Pressures up to 600 MPa

The viscosity of 1-octanol was determined experimentally and modeled using both empirical as well as physical models. The viscosity of liquid 1-octanol was measured using a falling-body viscometer at pressures up to 600 MPa and temperatures between 293.15 K and 373.15 K. For the physics-based modeling, entropy scaling in combination with a molecular-based equation of state, namely SAFT-VR Mie, was used. Also for the evaluation of the viscosity measurements, the SAFT-VR Mie EOS was used for describing the density of the fluid. The new viscosity data significantly extend the available literature data. For the new experimental data, the relative expanded uncertainty is below 10% for most data points. Moreover, an empirical model was developed to represent experimental data from this work. Finally, the entropy scaling model was employed and tested for describing the viscosity of 1-octanol in a wide range of states including gaseous, liquid, supercritical, and metastable states. It describes all available experimental data well and is robust when used for extrapolations.

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来源期刊
CiteScore
4.10
自引率
9.10%
发文量
179
审稿时长
5 months
期刊介绍: International Journal of Thermophysics serves as an international medium for the publication of papers in thermophysics, assisting both generators and users of thermophysical properties data. This distinguished journal publishes both experimental and theoretical papers on thermophysical properties of matter in the liquid, gaseous, and solid states (including soft matter, biofluids, and nano- and bio-materials), on instrumentation and techniques leading to their measurement, and on computer studies of model and related systems. Studies in all ranges of temperature, pressure, wavelength, and other relevant variables are included.
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