Estimation of Kinematic Viscosity of Biodiesel Fuels from Fatty Acid Methyl Ester Composition and Temperature

被引：17
|
作者：
Huang, Yundi [1 ]
Li, Fashe [1 ]
Bao, Guirong [1 ]
Wang, Wenchao [1 ]
Wang, Hua [1 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Met & Energy Engn, State Key Lab Complex Nonferrous Met Resources Cl, Kunming 650093, Yunnan, Peoples R China
来源：
JOURNAL OF CHEMICAL AND ENGINEERING DATA | 2020年 / 65卷 / 05期
基金：
中国国家自然科学基金;
关键词：
CETANE NUMBER; DEPENDENT VISCOSITY; PREDICTION; DENSITY; MODEL;
D O I：
10.1021/acs.jced.9b01127
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Composition and kinematic viscosities of 16 biodiesels and 55 FAME-FAME binary blends were measured by following EN 14103 and ASTM D 445-88 standards. The effects of composition and temperature on viscosity were assessed, and two correlations are proposed to predict the viscosity of biodiesels. One correlation is derived through the MLR method for kinematic viscosity-composition relationship at 40 degrees C, giving a correlation coefficient of 0.996, and compared with well-known models previously reported in the literature. The AARD of predictions is 1.69%. The second composition-temperature-dependent viscosity correlation is achieved by Arrhenius kinetics evaluated with the Chavarria-Hernandez method against the viscosity data measured by Freitas. A global AARD of 0.94% is obtained.
引用
收藏
页码：2476 / 2485
页数：10
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