Prediction of Solid Holdup in a Gas–Solid Circulating Fluidized Bed Riser by Artificial Neural Networks

Machine learning to assist filtered two‐fluid model development for dense gas–particle flows

(2020) Li‐Tao Zhu et al.   AICHE JOURNAL

Application of machine learning methods to understand and predict circulating fluidized bed riser flow characteristics

(2020) Jia Wei Chew et al.   CHEMICAL ENGINEERING SCIENCE

Predicting the effect of bed materials in bubbling fluidized bed gasification using artificial neural networks (ANNs) modeling approach

(2020) Daniel Serrano et al.   FUEL

Classification of solid fuels with machine learning

(2020) Furkan Elmaz et al.   FUEL

CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network

(2020) Hanbin Zhong et al.   RENEWABLE ENERGY

A machine learning approach for electrical capacitance tomography measurement of gas-solid fluidized beds

(2019) Qiang Guo et al.   AICHE JOURNAL

Experimental Study of Solids Motion in an 18 m Gas–Solids Circulating Fluidized Bed with High Solids Flux

(2019) Xin Su et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO

(2018) Muhammad Shahbaz et al.   RENEWABLE ENERGY

Hydrodynamic studies in fluidized bed with internals and modeling using ANN and ANFIS

(2017) M. Sai Vijaya Krishna et al.   POWDER TECHNOLOGY

Artificial Neural Network Modeling of Hydrodynamics of Liquid-Solid Circulating Fluidized Beds

(2016) Ritesh Ramesh Palkar et al.   CHEMICAL ENGINEERING & TECHNOLOGY

Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

(2016) Daya Shankar Pandey et al.   WASTE MANAGEMENT

A comparison of flow development in high density gas-solids circulating fluidized bed downer and riser reactors

(2015) Chengxiu Wang et al.   AICHE JOURNAL

Hydrodynamic studies on fluidized beds with internals: Experimental and ANN approach

(2014) Ronnie Kiran Mathew et al.   POWDER TECHNOLOGY

Artificial neural network models for biomass gasification in fluidized bed gasifiers

(2013) Maria Puig-Arnavat et al.   BIOMASS & BIOENERGY

Reverse core-annular flow of Geldart Group B particles in risers

(2011) Jia Wei Chew et al.   POWDER TECHNOLOGY

Hydrodynamic similarity in circulating fluidized bed risers

(2008) Xiaobo Qi et al.   CHEMICAL ENGINEERING SCIENCE