|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Cast Shop Technology: Energy Joint Session
||Artificial Intelligence to Optimize Remelting Processes: An Approach Combining Data Acquisition and Modeling
||Amin Rostamian, Marc Bertherat, Michel Rappaz
|On-Site Speaker (Planned)
Recycling and remelting of Al alloys involve large amounts of energy and CO2 release. In order to minimize energy consumption and environment impact, a novel approach has been developed and tested for this industrial sector, but it can be extended to other processes and materials. The approach is based on on-line data acquisition and efficient numerical modeling of heat exchanges within a remelting furnace. The fast and efficient numerical calculations, which includes the physical mechanisms of combustion, convection and radiation, have a few adjustable parameters which are calibrated on-line by a few data acquisition values. A friendly user-interface allows furnace operators to monitor the remelting process and optimize mass loading, door opening, heating sequences, etc. The main features of the product SmartMelt® will be presented.
||Planned: Light Metals