| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
REWAS 2025: Automation and Digitalization in Recycling Processes
|
| Presentation Title |
Metal Extraction Informatics: A Conceptual Framework for Sustainable Metals Extraction |
| Author(s) |
Avijit Khanra, Arunabh Meshram, Yogesh Katariya, Siddhant Shikhar Gupta, Kali Sanjay, Rajiv Shekhar |
| On-Site Speaker (Planned) |
Rajiv Shekhar |
| Abstract Scope |
Shortfall in the supply of metals critical for transition to the low carbon economy necessitates extraction from low grade ores and wastes. This requires new flowsheet development where the operating parameters of each unit operation must be optimized. This approach is experiment-intensive with a large gestation period. To accelerate flowsheet development for sustainable metal extraction, a conceptual framework of Metal Extraction Informatics (MEI) has been proposed. MEI combines some aspects of materials informatics and multi-objective optimization. Three objective functions have been used: process efficiency, operating costs, and environmental impact. A case study of the leaching of copper from waste printed circuit boards has been modelled to illustrate the MEI framework. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Sustainability, Machine Learning, Extraction and Processing |