Research on Mixing Behavior in a Combined Top-Bottom-Side Blown Iron Bath Gasifier

The iron bath gasifier studied in this paper is a new type of reactor for handling organic solid waste, in which the complex transport phenomena comprising high temperature, the multiphase flow, mixing, and chemical reaction takes place. It is of great significance to study the melt's flow and mass transfer behavior in this reactor. The influence of different process parameters on the mixing behavior of the molten pool was studied by the water modeling experiment and numerical simulation method. The experimental results show that the height of the water phase has a highly significant effect on the mixing time of the molten pool, followed by the horizontal angle of the side gun and the bottom blowing flow rate. As the height of the water increases, the mixing time decreases. When the horizontal angle of side lances increases, the mixing time decreases. With the increase in the flow rate of the bottom lance, the mixing time decreases. The results obtained by numerical simulation were compared with the experimental results to determine the reliability of the mathematical model for future optimization of the process parameters by numerical simulation. These studies are helpful for optimizing the design of the reactor and improving the process parameters.

Automated summary

The iron bath gasifier studied in this paper is a new type of reactor that handles organic solid waste, and it involves complex transport phenomena such as high temperature, multiphase flow, mixing, and chemical reaction. It is important to study the flow and mass transfer behavior in the reactor. Through water modeling experiments and numerical simulations, the influence of different process parameters on the mixing behavior of the molten pool was investigated. The experimental results were compared with numerical simulation results to validate the mathematical model for future optimization of process parameters. These studies are significant for optimizing reactor design and improving process parameters.