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Measurements and Predictive Models for the Viscosity of Coal-Based Kerosene at Temperatures up to 673 K and Pressures up to 40 MPa
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2022-08-15 , DOI: 10.1021/acs.jced.2c00235 Jiaqing Zhang 1 , Chao Yang 2 , Zhaohui Liu 1 , Xiaofeng Huang 1 , Peiqi Li 1
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2022-08-15 , DOI: 10.1021/acs.jced.2c00235 Jiaqing Zhang 1 , Chao Yang 2 , Zhaohui Liu 1 , Xiaofeng Huang 1 , Peiqi Li 1
Affiliation
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A high-temperature and high-pressure dual-capillary viscometer was developed to measure the dynamic viscosity of liquid and supercritical coal-based kerosene in the temperature range of 299.6–678.8 K and pressure range of 0.3–40.4 MPa. The extended relative uncertainty of the measurement results ranged from 0.8–5% (confidence factor k = 2). Using the differential of the pressure drop across the capillary with flow rate in the viscosity derivation, rather than the pressure drop directly, gave better experimental precision. The measurement accuracy was validated using cyclohexane and toluene as standard fluids; the absolute average deviations (AADs) were 1.7% for cyclohexane at 0.3–20.0 MPa and 321.8–576.6 K and 2.0% for toluene at 0.3–40.6 MPa and 285.3–315.8 K. The effects of temperature and pressure on the viscosity of coal-based kerosene were investigated using four parameters: isobaric viscosity change rate, viscosity-temperature coefficient, isothermal viscosity change rate, and viscosity-pressure coefficient. It was found that the viscosity-temperature coefficient curves of coal-based kerosene intersect each other at different pressures, which are of great significance for the establishment of viscosity predictive models. Based on the characteristics of the kerosene η–T curve, we proposed a new modified Arrhenius–Andrade model and introduce the pressure term into the model. Compared with the modified VFT model and 10-parameter nonlinear surface model, the modified Arrhenius–Andrade model best fitted the experimental data with AAD of 1.6%.
中文翻译：
在高达 673 K 的温度和高达 40 MPa 的压力下煤基煤油粘度的测量和预测模型
研制了高温高压双毛细管粘度计，用于测量299.6~678.8 K温度范围、0.3~40.4 MPa压力范围内液体和超临界煤基煤油的动态粘度。测量结果的扩展相对不确定度范围为 0.8-5%（置信系数k= 2)。在粘度推导中使用通过毛细管的压降与流速的差异，而不是直接使用压降，可以提供更好的实验精度。使用环己烷和甲苯作为标准流体验证了测量精度；环己烷在 0.3–20.0 MPa 和 321.8–576.6 K 时的绝对平均偏差 (AAD) 为 1.7%，甲苯在 0.3–40.6 MPa 和 285.3–315.8 K 时为 2.0%。温度和压力对煤黏度的影响采用等压粘度变化率、粘度-温度系数、等温粘度变化率和粘度-压力系数四个参数对基煤油进行了研究。发现煤基煤油的黏温系数曲线在不同压力下相互交叉，对粘度预测模型的建立具有重要意义。基于煤油的特性 η–T曲线，我们提出了一种新的修正 Arrhenius-Andrade 模型，并将压力项引入模型。与修改后的 VFT 模型和 10 参数非线性曲面模型相比，修改后的 Arrhenius-Andrade 模型在 AAD 为 1.6% 时与实验数据的拟合效果最好。
更新日期：2022-08-15
中文翻译：
在高达 673 K 的温度和高达 40 MPa 的压力下煤基煤油粘度的测量和预测模型
研制了高温高压双毛细管粘度计，用于测量299.6~678.8 K温度范围、0.3~40.4 MPa压力范围内液体和超临界煤基煤油的动态粘度。测量结果的扩展相对不确定度范围为 0.8-5%（置信系数k= 2)。在粘度推导中使用通过毛细管的压降与流速的差异，而不是直接使用压降，可以提供更好的实验精度。使用环己烷和甲苯作为标准流体验证了测量精度；环己烷在 0.3–20.0 MPa 和 321.8–576.6 K 时的绝对平均偏差 (AAD) 为 1.7%，甲苯在 0.3–40.6 MPa 和 285.3–315.8 K 时为 2.0%。温度和压力对煤黏度的影响采用等压粘度变化率、粘度-温度系数、等温粘度变化率和粘度-压力系数四个参数对基煤油进行了研究。发现煤基煤油的黏温系数曲线在不同压力下相互交叉，对粘度预测模型的建立具有重要意义。基于煤油的特性 η–T曲线，我们提出了一种新的修正 Arrhenius-Andrade 模型，并将压力项引入模型。与修改后的 VFT 模型和 10 参数非线性曲面模型相比，修改后的 Arrhenius-Andrade 模型在 AAD 为 1.6% 时与实验数据的拟合效果最好。
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