|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Aluminum Reduction Technology
||Predicting Instability and Current Efficiency of Industrial Cells
||Patrice Côté, , Bertrand Allano, Véronique Dassylva-Raymond
|On-Site Speaker (Planned)
New statistical models were developed to predict the behavior of industrial potlines. A first model, based on a multiple linear regression analysis, predicts the instability (cell noise) of P155 potlines and is used as a tool to investigate drifts. An example of the usefulness of such a model is presented. A second model that predicts the current efficiency was built using a similar approach. It is based on 10 years of data from 30 potlines. The non-linearity of the relationship between current efficiency (CE) and anode-cathode-distance (ACD) was investigated, and confirmed, during the course of this study. It has been taken into account in the CE model. These current efficiency and instability models provide new ways to anticipate potline performance and to conduct gap analysis.
||Planned: Light Metals