Metal Extraction Informatics: A Conceptual Framework for Sustainable Metal Extraction

Khanra, A.; Meshram, A.; Katariya, Y.; Gupta, S.S.; Sanjay, K.; Shekhar, R.

dc.contributor.author	Khanra, A.	en
dc.contributor.author	Meshram, A.	en
dc.contributor.author	Katariya, Y.	en
dc.contributor.author	Gupta, S.S.	en
dc.contributor.author	Sanjay, K.	en
dc.contributor.author	Shekhar, R.	en
dc.date.accessioned	2025-11-11T06:16:39Z
dc.date.available	2025-11-11T06:16:39Z
dc.date.issued	2025
dc.identifier.citation	154th Minerals Metals and Materials Society Meeting-TMS-Annual, 2025	en
dc.identifier.isbn	978-3-031-80894-4
dc.identifier.uri	http://ore.immt.res.in/handle/2018/3822
dc.description.abstract	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 material 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.	en
dc.language.iso	en	en
dc.publisher	Springer Nature Link	en
dc.subject	Materials Sciences	en
dc.title	Metal Extraction Informatics: A Conceptual Framework for Sustainable Metal Extraction	en
dc.type	Conference Article	en
dc.affiliation.author	Indian Institute of Technology Kanpur, Kanpur 208016, Uttar Pradesh, India	en