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DC Field | Value | Language |
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dc.contributor.author | Chen, C | - |
dc.contributor.author | Mira, D | - |
dc.contributor.author | Xing, Z | - |
dc.contributor.author | Jiang, X | - |
dc.date.accessioned | 2024-02-01T15:29:57Z | - |
dc.date.available | 2024-02-01T15:29:57Z | - |
dc.date.issued | 2022-10-01 | - |
dc.identifier | ORCID iD: Cheng Chen https://orcid.org/0000-0001-7292-9490 | - |
dc.identifier | ORCID iD: Xi Jiang https://orcid.org/0000-0003-2408-8812 | - |
dc.identifier | 120423 | - |
dc.identifier.citation | Chen, C. et al. (2022) 'Thermophysical property prediction of biodiesel mixtures at extreme conditions using molecular dynamics simulation', Journal of Molecular Liquids, 367 (B), 120423, pp. 1 - 15. doi: 10.1016/j.molliq.2022.120423. | en_US |
dc.identifier.issn | 0167-7322 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28156 | - |
dc.description | Data availability: Data will be made available on request. | en_US |
dc.description.abstract | Copyright © 2022 The Author(s). Liquid biofuels such as biodiesel are playing an increasing role in renewable energy utilisation, but accurate predictions of fuel properties at extreme conditions remain challenging. In this study, molecular dynamics (MD) simulation with classical force field is performed to obtain the thermophysical properties of biodiesel over extended ranges of temperatures and pressures. The predicted properties include the critical temperature, critical density, critical pressure, surface tension, viscosity, thermal conductivity and diffusion coefficient. The specific MD setup for fuel thermophysical property prediction is examined. It is observed that the long-range dispersion interaction is essential to accurately predicting the surface tension, and averaging over a sufficient number of independent replication simulations is required to eliminate the statistical error when using the Green-Kubo method for viscosity calculation. The reliability of MD approach is validated against experimental data at normal temperature and pressure. The equilibrium MD simulation has an advantage over nonequilibrium MD simulation when building databases of fuel properties. Moreover, the properties of biodiesel are compared with conventional diesel to elucidate the effects of fuel composition and molecular structure of the fuel surrogates on fuel thermophysical properties. For biodiesel utilisation, higher values of critical temperature, surface tension and viscosity, lower diffusivity together with the increased aggregation tendency in bath gas indicate the needs of further optimisation of injection system to achieve the desired mixing in combustion applications. | en_US |
dc.format.extent | 1 - 15 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (https://creativecommons.org/licenses/by-nc/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.subject | biodiesel | en_US |
dc.subject | thermophysical property | en_US |
dc.subject | supercritical conditions | en_US |
dc.subject | molecular dynamics | en_US |
dc.title | Thermophysical property prediction of biodiesel mixtures at extreme conditions using molecular dynamics simulation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.molliq.2022.120423 | - |
dc.relation.isPartOf | Journal of Molecular Liquids | - |
pubs.issue | B | - |
pubs.publication-status | Published | - |
pubs.volume | 367 | - |
dc.identifier.eissn | 1873-3166 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
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FullText.pdf | Copyright © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (https://creativecommons.org/licenses/by-nc/4.0/). | 4.02 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License