Zhuojun Jiang, Haiqin Quan, Nouria Fatah, ‘Numerical simulation study of the hydrodynamic regimes in large to micro fluidized beds based on a Two-Fluid Model’, Chemical Engineering Science, Volume 267, 118358, 2023 https://doi.org/10.1016/j.ces.2022.118358. (https://www.sciencedirect.com/science/article/pii/S0009250922009435)
Type Citation: Journal
Deepthi Vaidhynathan, Hariswaran Sitaraman, Ray Grout, Thomas Hauser, Christine M. Hrenya, Jordan Musser, ‘Memory access optimization for particle operations in computational fluid dynamics-discrete element method simulations’, Particuology, Volume 78, Pages 97-110, 2023 https://doi.org/10.1016/j.partic.2022.10.004. (https://www.sciencedirect.com/science/article/pii/S1674200122002231)
Francesco Neglia, Roberto Sulpizio, Fabio Dioguardi, Damiano Sarocchi, ‘Investigating the effect of polydispersity on the dynamics of multiphase flows using computational fluid dynamics tools’, International Journal of Multiphase Flow, Volume 168, 104558, 2023 https://doi.org/10.1016/j.ijmultiphaseflow.2023.104558. (https://www.sciencedirect.com/science/article/pii/S0301932223001799)
Shaohua Du, Jiahao Wang, Yaxiong Yu, Qiang Zhou, ‘Coarse-grained CFD-DEM simulation of coal and biomass co-gasification process in a fluidized bed reactor: Effects of particle size distribution and operating pressure’, Renewable Energy, Volume 202, Pages 483-498, 2023 https://doi.org/10.1016/j.renene.2022.11.073. (https://www.sciencedirect.com/science/article/pii/S096014812201713X)
Lukas von Berg, Andrés Anca-Couce, Christoph Hochenauer, Robert Scharler, ‘Multi-scale modelling of a fluidized bed biomass gasifier of industrial size (1 MW) using a detailed particle model coupled to CFD: Proof of feasibility and advantages over simplified approaches’, Energy Conversion and Management, Volume 286, 117070, 2023 https://doi.org/10.1016/j.enconman.2023.117070. (https://www.sciencedirect.com/science/article/pii/S0196890423004168)
Stéphane Touzé, Matthieu Rauch, Jean-Yves Hascoët, ‘Gas-particle flow of cohesive aluminium powders during laser metal deposition – Experimental and numerical investigation’, Advanced Powder Technology, Volume 34, Issue 10, 104182, 2023 https://doi.org/10.1016/j.apt.2023.104182. (https://www.sciencedirect.com/science/article/pii/S0921883123002479)
Yong Zhang, Ji Xu, Qi Chang, Peng Zhao, Junwu Wang, Wei Ge, ‘Numerical simulation of fluidization: Driven by challenges’, Powder Technology, Volume 414, 118092, 2023 https://doi.org/10.1016/j.powtec.2022.118092. (https://www.sciencedirect.com/science/article/pii/S0032591022009731)
Nina Mencin, Dona Štepec, Alja Margon, Jana Vidič, Darko Dolenc, Tina Simčič, Sara Rotar, Rok Sekirnik, Aleš Štrancar, Urh Černigoj, ‘Development and scale-up of oligo-dT monolithic chromatographic column for mRNA capture through understanding of base-pairing interactions’, Separation and Purification Technology, Volume 304, 122320, 2023 https://doi.org/10.1016/j.seppur.2022.122320. (https://www.sciencedirect.com/science/article/pii/S1383586622018755)
Kai Zhang, Shuai Wang, Hanyu Jin, Yurong He, ‘A clouded bubble-based mass transfer model for the simulation of gas–solid bubbling fluidization’, Chemical Engineering Journal, Volume 453, Part 2, 139936, 2023 https://doi.org/10.1016/j.cej.2022.139936. (https://www.sciencedirect.com/science/article/pii/S138589472205416X)
Wenjian Cai, Xietian Xia, Xiang Li, Xing Chen, Zenghui Xu, Guodong Liu, ‘Numerical investigation of subcritical and supercritical carbon dioxide fluidized beds using two fluid model and discrete element method’, The Journal of Supercritical Fluids, Volume 199, 105942, 2023 https://doi.org/10.1016/j.supflu.2023.105942. (https://www.sciencedirect.com/science/article/pii/S0896844623001067)