Exploració per autor "Jiang, Xi"
Ara es mostren els items 1-6 de 6
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A molecular simulation study on transport properties of FAMEs in high-pressure conditions
Chen, Cheng; Mira Martínez, Daniel; Jiang, Xi (Elsevier, 2022)
Article
Accés obertTransport property prediction of fatty acid methyl esters (FAMEs) is essential to its utilisation as biodiesel and biolubricant which can work under high-pressure conditions. Equilibrium molecular simulation is performed ... -
Large-eddy simulation of ow and combustion dynamics in a lean partially premixed swirling combustor
Li, Shaoshuai; Zheng, Yunzhe; Zhu, Min; Mira Martínez, Daniel; Jiang, Xi (Elsevier, 2015-11-06)
Article
Accés obertA lean partially premixed swirling combustor was studied by resolving the complete flow path from the swirl vanes to the chamber outlet with large-eddy simulation (LES). The flow and combustion dynamics for non-reacting ... -
Numerical investigation of the burning characteristics of ventilation air methane in a combustion based mitigation system
Mira Martínez, Daniel; Cluff, Daniel L.; Jiang, Xi (Elsevier, 2014-10)
Article
Accés obertLarge-eddy simulation of the reacting flow field in a combustion-based mitigation system to reduce the emissions of methane contained in ventilation air methane is presented. The application is based on the preheating and ... -
Parametric and model uncertainties induced by reduced order chemical mechanisms for biogas combustion
Freitas, Rodolfo S.M; Rochinha, Fernando A.; Mira Martínez, Daniel; Jiang, Xi (Elsevier, 2020)
Article
Accés obertThis study investigates the impact of chemical kinetic uncertainties on biogas combustion using a Uncertainty Quantification (UQ)-based methodology. The results indicate that the variation of physicochemical properties ... -
Thermophysical property prediction of biodiesel mixtures at extreme conditions using molecular dynamics simulation
Chen, Cheng; Mira Martínez, Daniel; Xing, Zhihao; Jiang, Xi (2022)
Article
Accés obertLiquid 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) ... -
Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models
Freitas, Rodolfo S.M.; Lima, Ágatha P.F.; Chen, Cheng; Rochinha, Fernando A.; Mira Martínez, Daniel; Jiang, Xi (Elsevier, 2022-12)
Article
Accés obertAccurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels. The present work aims to construct cheap-to-compute machine ...