| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Electrometallurgy 2020
|
| Presentation Title |
A 3-D Numerical Model to Predict Low Temperature Aluminum Electrochemical Process Using Ionic Liquids as Electrolytes at Different Boundary Conditions |
| Author(s) |
Aqi Dong, Laurentiu Nastac, Ramana Reddy |
| On-Site Speaker (Planned) |
Aqi Dong |
| Abstract Scope |
Electrochemical separation of aluminum from mixed scrap under low temperature using ionic liquids electrolytes is an energy efficient and environmental benign metal extraction technology. A 3-D numerical model was developed to predict this electrochemical process. The influence of batch reactor geometries, number of electrodes and distance between electrodes, reactor domain and inlet temperature, and inlet flow velocity to the current density was studied. Three kinds of ionic liquids [EMIM]CL, [BMIM]CL and [HIMIM]CL were compared. An uncertainty analysis of electrolytes parameters such as electrical conductivity, thermal conductivity, density, specific heat and viscosity was also conducted. The results give some reference values for different boundary conditions and indicate that to achieve a larger current density, the inlet temperature should be as high as the domain temperature. It also shows that the electrical conductivity plays a decisive role for determining the current density. Those simulation results were also verified by experimental data. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |