| EMMS-based discrete particle method (EMMS–DPM) for simulation of gas–solid flows L Lu, J Xu, W Ge, Y Yue, X Liu, J Li Chemical Engineering Science 120, 67-87, 2014 | 200 | 2014 |
| Quasi-real-time simulation of rotating drum using discrete element method with parallel GPU computing J Xu, H Qi, X Fang, L Lu, W Ge, X Wang, M Xu, F Chen, X He, J Li Particuology 9 (4), 446-450, 2011 | 180 | 2011 |
| Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes X Gao, T Li, A Sarkar, L Lu, WA Rogers Chemical Engineering Science 184, 33-51, 2018 | 155 | 2018 |
| Computer virtual experiment on fluidized beds using a coarse-grained discrete particle method—EMMS-DPM L Lu, J Xu, W Ge, G Gao, Y Jiang, M Zhao, X Liu, J Li Chemical Engineering Science 155, 314-337, 2016 | 110 | 2016 |
| Extension of a coarse grained particle method to simulate heat transfer in fluidized beds L Lu, A Morris, T Li, S Benyahia International Journal of Heat and Mass Transfer 111, 723-735, 2017 | 105 | 2017 |
| Discrete simulation of granular and particle-fluid flows: from fundamental study to engineering application W Ge, L Wang, J Xu, F Chen, G Zhou, L Lu, Q Chang, J Li Reviews in Chemical Engineering 33 (6), 551-623, 2017 | 92 | 2017 |
| Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation L Lu, A Konan, S Benyahia Chemical Engineering Journal 326, 627-639, 2017 | 79 | 2017 |
| Coarse-grained-particle method for simulation of liquid–solids reacting flows L Lu, K Yoo, S Benyahia Industrial & Engineering Chemistry Research 55 (39), 10477-10491, 2016 | 72 | 2016 |
| Assessment of different discrete particle methods ability to predict gas-particle flow in a small-scale fluidized bed L Lu, B Gopalan, S Benyahia Industrial & Engineering Chemistry Research 56 (27), 7865-7876, 2017 | 68 | 2017 |
| Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow L Lu, Y Xu, T Li, S Benyahia Chemical Engineering Science 179, 53-63, 2018 | 64 | 2018 |
| Assessment of polydisperse drag models for the size segregation in a bubbling fluidized bed using discrete particle method Y Zhang, Y Zhao, L Lu, W Ge, J Wang, C Duan Chemical Engineering Science 160, 106-112, 2017 | 64 | 2017 |
| Bridging particle and reactor scales in the simulation of biomass fast pyrolysis by coupling particle resolved simulation and coarse grained CFD-DEM L Lu, X Gao, M Shahnam, WA Rogers Chemical Engineering Science 216, 115471, 2020 | 61 | 2020 |
| Development and validation of SuperDEM-CFD coupled model for simulating non-spherical particles hydrodynamics in fluidized beds X Gao, J Yu, L Lu, C Li, WA Rogers Chemical Engineering Journal 420, 127654, 2021 | 56 | 2021 |
| Simulations of biomass pyrolysis using glued-sphere CFD-DEM with 3-D intra-particle models L Lu, X Gao, M Shahnam, WA Rogers Chemical Engineering Journal 419, 129564, 2021 | 52 | 2021 |
| MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review L Lu, X Gao, JF Dietiker, M Shahnam, WA Rogers Chemical Engineering Science 248, 117131, 2022 | 48 | 2022 |
| Investigating biomass composition and size effects on fast pyrolysis using global sensitivity analysis and CFD simulations L Lu, X Gao, A Gel, GM Wiggins, M Crowley, B Pecha, M Shahnam, ... Chemical Engineering Journal 421, 127789, 2021 | 46 | 2021 |
| Coupling particle scale model and SuperDEM‐CFD for multiscale simulation of biomass pyrolysis in a packed bed pyrolyzer X Gao, J Yu, L Lu, WA Rogers AIChE Journal 67 (4), e17139, 2021 | 46 | 2021 |
| Assessment of a detailed biomass pyrolysis kinetic scheme in multiscale simulations of a single-particle pyrolyzer and a pilot-scale entrained flow pyrolyzer X Gao, L Lu, M Shahnam, WA Rogers, K Smith, K Gaston, D Robichaud, ... Chemical Engineering Journal 418, 129347, 2021 | 43 | 2021 |
| An efficient and reliable predictive method for fluidized bed simulation L Lu, S Benyahia, T Li AIChE Journal 63 (12), 5320-5334, 2017 | 43 | 2017 |
| Experimental and Eulerian-Lagrangian-Lagrangian study of binary gas-solid flow containing particles of significantly different sizes Y Zhang, Y Zhao, Z Gao, C Duan, J Xu, L Lu, J Wang, W Ge Renewable Energy 136, 193-201, 2019 | 40 | 2019 |
Xi GaoAssociate Professor, Guangdong Technion-Israel Institute of TechnologyVerified email at gtiit.edu.cn
