31 results on '"Bi, Haobo"'
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2. Effect of lignin on coal slime combustion characteristics and carbon dioxide emission
3. Study on combustion characteristics of nano-aluminum in different gas atmospheres and environment temperatures
4. The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS
5. Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis
6. Thermal degradation of cellulose and coal gangue based on lumped reaction model and principal component analysis
7. Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network
8. Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis
9. Influence of biomass on multi-component reaction model and combustion products of coal gangue
10. Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics
11. Influence of lignin on coal gangue pyrolysis and gas emission based on multi-lump parallel reaction model and principal component analysis
12. Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model
13. Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic
14. Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell
15. Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR
16. Experiments on macroscopic spray characteristics of diesel-ethanol with dispersed cerium nanoparticles
17. Co-pyrolysis of sewage sludge and rice husk by TG–FTIR–MS: Pyrolysis behavior, kinetics, and condensable/non-condensable gases characteristics
18. Experimental study on ignition and combustion of coal-rice husk blends pellets in air and oxy-fuel conditions
19. Experimental study of the ignition and combustion characteristics of cattle manure under different environmental conditions
20. Corrigendum to “Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic” [Fuel 305 (2021) 121527]
21. Co-Pyrolysis Behavior of Coal Slime and Chinese Medicine Residue by TG-FTIR-MS with Principal Component Analysis and Artificial Neural Network Model.
22. Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products.
23. Thermal Characteristics, Kinetics, and Volatility of Co-Combustion of Sewage Sludge and Rice Husk.
24. Experimental Investigation on Combustion and Gas Emission of Scrap Tire Pellet under Various Concentrations of CO2/O2 Mixtures.
25. Investigation of sewage sludge and peanut shells co‐combustion using thermogravimetric analysis and artificial neural network.
26. Prediction of mass loss for sewage sludge-peanut shell blends in thermogravimetric experiments using artificial neural networks.
27. An experimental study of single unconventional biomass pellets: Ignition characteristics, combustion processes, and artificial neural network modeling.
28. Investigation of co-combustion of sewage sludge and coffee industry residue by TG-FTIR and machine learning methods.
29. Research on the co-pyrolysis of coal gangue and coffee industry residue based on machine language: Interaction, kinetics, and thermodynamics.
30. The effect of biomass addition on pyrolysis characteristics and gas emission of coal gangue by multi-component reaction model and TG-FTIR-MS.
31. Pyrolysis characteristics, artificial neural network modeling and environmental impact of coal gangue and biomass by TG-FTIR.
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