Kai Zhang, Shuai Wang, Yurong He, ‘A clouded bubble-based drag model for the simulations of bubbling fluidized beds’, Chemical Engineering Science, Volume 257, 117724, 2022 https://doi.org/10.1016/j.ces.2022.117724. (https://www.sciencedirect.com/science/article/pii/S0009250922003086)
Archives: Citations
Eva-Maria Wartha, Markus Bösenhofer, Michael Harasek, ‘Importance of considering interstitial fluid effects in the kinetic theory of granular flow for raceway formation prediction’, Chemical Engineering Science, Volume 247, 117026, 2022 https://doi.org/10.1016/j.ces.2021.117026. (https://www.sciencedirect.com/science/article/pii/S0009250921005911)
Lei Wang, Hong-Wei Li, Chang-He Du, Wen-Peng Hong, ‘Gas flow influences on bubbling and flow characteristics of fluidized bed with immersed tube under electrostatic effects’, Advanced Powder Technology, Volume 33, Issue 5, 103575, 2022 https://doi.org/10.1016/j.apt.2022.103575. (https://www.sciencedirect.com/science/article/pii/S0921883122001534)
Wenjian Cai, Xietian Xia, Xiang Li, Xing Chen, Zenghui Xu, Huilin Lu, ‘Transition fluidization in pulsating subcritical water fluidized beds’, Chemical Engineering Research and Design, Volume 184, Pages 488-500, 2022 https://doi.org/10.1016/j.cherd.2022.06.024. (https://www.sciencedirect.com/science/article/pii/S0263876222003069)
Yupeng Du, Xiaoping Chen, Shuo Li, Abdallah Sofiane Berrouk, Wanzhong Ren, Chaohe Yang, ‘Revisiting a large-scale FCC riser reactor with a particle-scale model’, Chemical Engineering Science, Volume 249, 117300, 2022 https://doi.org/10.1016/j.ces.2021.117300. (https://www.sciencedirect.com/science/article/pii/S0009250921008654)
Andrew Hong, Aaron Morris, ‘Novel direct simulation Monte Carlo method for spherocylinders’, Powder Technology, Volume 399, 117085, 2022 https://doi.org/10.1016/j.powtec.2021.117085. (https://www.sciencedirect.com/science/article/pii/S0032591021011037)
Francesca Orsola Alfano, Martin Sommerfeld, Francesco Paolo Di Maio, Alberto Di Renzo, ‘DEM analysis of powder deaggregation and discharge from the capsule of a carrier-based Dry Powder Inhaler’, Advanced Powder Technology, Volume 33, Issue 12, 103853, 2022 https://doi.org/10.1016/j.apt.2022.103853. (https://www.sciencedirect.com/science/article/pii/S0921883122004320)
Dan Xu, Yansong Shen, ‘An improved machine learning approach for predicting granular flows’, Chemical Engineering Journal, Volume 450, Part 2, 138036, 2022 https://doi.org/10.1016/j.cej.2022.138036. (https://www.sciencedirect.com/science/article/pii/S1385894722035227)
Julia Hartig, Abhishek Shetty, Davis R. Conklin, Alan W. Weimer, ‘Aeration and cohesive effects on flowability in a vibrating powder conveyor’, Powder Technology, Volume 408, 117724, 2022 https://doi.org/10.1016/j.powtec.2022.117724. (https://www.sciencedirect.com/science/article/pii/S0032591022006179)
Allan Runstedtler, Marc A. Duchesne, ‘A method to predict particle collision speeds in fluidized beds’, Chemical Engineering Science, Volume 264, 118157, 2022 https://doi.org/10.1016/j.ces.2022.118157. (https://www.sciencedirect.com/science/article/pii/S0009250922007412)
