Machine Learning Approach to Predict the Surface Charge Density of Monodispersed Particles in Gas–Solid Fluidized Beds
Author:
Affiliation:
1. School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China
2. Department of Chemical Engineering, Kyoto University, Kyoto 615-8510, Japan
Funder
China University of Mining and Technology
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c00299
Reference67 articles.
1. Optimal grade transition and selection of closed-loop controllers in a gas-phase olefin polymerization fluidized bed reactor
2. Cracking of Scrap Tires Pyrolysis Oil in a Fluidized Bed Reactor under Catalytic Cracking Unit Conditions. Effects of Operating Conditions
3. Experimental Investigation of Biomass Gasification in a Fluidized Bed Reactor
4. Estimation of Bed Expansion and Separation Density of Gas–Solid Separation Fluidized Beds Using a Micron-Sized-Particle-Dense Medium
5. Combustion of coal in circulating fluidized-bed boilers: a review
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