Journal
JOURNAL OF CHEMICAL THERMODYNAMICS
Volume 159, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jct.2021.106486
Keywords
Measurement; Prediction; Thermal conductivity; Methyl butyrate; Methyl Caproate; Liquid
Categories
Funding
- National Natural Science Foundation of China [52006059, 52006057]
- Fundamental Research for the Central Universities [531118010490, 531118010471]
- National Supercomputing Center in Changsha
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Fatty acid methyl esters (FAMEs) are the main component of biodiesels. It is essential to investigate the thermophysical properties of FAMEs before their industrial application. Experimental and theoretical studies were conducted on the thermal conductivities of two short-chain FAMEs, leading to accurate data and the identification of a reliable model for predicting FAME thermal conductivities.
Fatty acid methyl esters (FAMEs) are the main component of biodiesels. Before the industrial application of FAMEs, it is essential to investigate the thermophysical properties of FAMEs. Thermal conductivity of fuels is used in various processes, such as the design of the heat transfer system and the determination of the temperature distribution of engines. Thus, it is of great significance to acquire accurate experimental data and develop reliable models for obtaining accurate thermal conductivity data of FAMEs. In this work, thermal conductivities of two short-chain FAMEs, methyl butyrate (MeC4:0) and methyl caproate (MeC6:0) were studied experimentally and theoretically. The thermal conductivities of these two FAMEs were measured by the transient hot-wire method at T = 303 to 523 K and p = 0.1 MPa to 15 MPa, the data were correlated as a polynomial function of temperature and pressure, the AADs are 0.38% for MeC4:0 and 0.42% for MeC6:0, respectively. Moreover, the experimental thermal conductivities agree well with the available data from literature. In addition, three classical models (Latini model, Sastri model, Liu model) were used to represent the present experimental data and the results show that Liu model with re-fitted parameters performs better in the prediction of the thermal conductivity of FAMEs, with regard to accuracy. (c) 2021 Elsevier Ltd.
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