TY - GEN
T1 - Thermal conductivity of trimethylolpropane trioleate (TMPTO) based bio-lubricant using molecular dynamic simulation
AU - Ruliandini, Rizky
AU - Nasruddin,
AU - Tokumasu, Takashi
AU - Supriyadi,
N1 - Funding Information:
Part of this work was performed under general collaborative research with Institute of Fluid Science, Tohoku University and financially supported by Ministry of Research, Technology and Higher Education of Indonesia Republic (RISTEKDIKTI) under PDUPT grant scheme.
Publisher Copyright:
© 2020 Author(s).
PY - 2020/9/3
Y1 - 2020/9/3
N2 - With a biodegradation rate exceeding 90%, TMPTO, a polyol ester, is used as a base oil for bio-lubricant. Its excellent physicochemical properties, made TMPTO based bio-lubricants applied as metalworking fluids such as in hydraulics, chains and machines. In this study, TMPTO is derived from chemical reactions between Trimethylolpropane (TMP) and the methyl ester which synthesized from plant oils such as palm and Jatropha curcas. With hBN nanoparticles addition, it is expected improving its heat transfer capability. This study is predicting the thermal conductivity of TMPTO with various hBN nanoparticles concentration using the molecular dynamics simulation method. The thermal conductivity value is computed using Green-Kubo formalism, and it is applied to compute the heat flux vector based on a contribution from atoms in the specified group. Based on simulations, we get the best thermal conductivity value around 0.255-0.375 W/mK, which performed by TPMTO with a 0.4% hBN addition.
AB - With a biodegradation rate exceeding 90%, TMPTO, a polyol ester, is used as a base oil for bio-lubricant. Its excellent physicochemical properties, made TMPTO based bio-lubricants applied as metalworking fluids such as in hydraulics, chains and machines. In this study, TMPTO is derived from chemical reactions between Trimethylolpropane (TMP) and the methyl ester which synthesized from plant oils such as palm and Jatropha curcas. With hBN nanoparticles addition, it is expected improving its heat transfer capability. This study is predicting the thermal conductivity of TMPTO with various hBN nanoparticles concentration using the molecular dynamics simulation method. The thermal conductivity value is computed using Green-Kubo formalism, and it is applied to compute the heat flux vector based on a contribution from atoms in the specified group. Based on simulations, we get the best thermal conductivity value around 0.255-0.375 W/mK, which performed by TPMTO with a 0.4% hBN addition.
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U2 - 10.1063/5.0014122
DO - 10.1063/5.0014122
M3 - Conference contribution
AN - SCOPUS:85092072797
T3 - AIP Conference Proceedings
BT - 4th International Tropical Renewable Energy Conference, i-TREC 2019
A2 - Kusrini, Eny
A2 - Nugraha, I. Gde Dharma
PB - American Institute of Physics Inc.
T2 - 4th International Tropical Renewable Energy Conference 2019, i-TREC 2019
Y2 - 14 August 2019 through 16 August 2019
ER -