JOURNAL ARTICLE

Utilisation of biomass waste as a reductant in the smelting of saprolitic nickel ore using a DC-arc furnace.

  • Published In: Mineral Processing & Extractive Metallurgy, 2024, v. 133, n. 4. P. 160 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nurjaman, Fajar; Hakim, Hafid Zul; Arham, La Ode; Septiansyah, Bagus; Handoko, Anton Sapto; Bahfie, Fathan; Suharto, Suharto; Dahlan, Yuhelda; Fatimah, Titin Siti; Sari, Yuliana; Suharno, Bambang 3 of 3

Abstract

This article investigates the use of biomass charcoal from rubber wood, coconut shell, corn cob, and palm kernel shell as reductants in the smelting of saprolitic nickel laterite ore to produce ferronickel, comparing their performance with conventional fossil fuels like coke and coal. Experiments conducted in a direct current (DC) arc furnace showed that corn cob charcoal and palm kernel shell charcoal achieved nickel grades above 12% and recoveries over 90%, comparable to coke, while producing similar slag phases dominated by diopside with low melting points. Biomass reductants exhibited higher carbon reactivity, resulting in slightly lower nickel recovery and grade than coke but yielded ferronickel with lower carbon content, which may benefit subsequent stainless steel production by easing decarburization. The study suggests that corn cob and palm kernel shell charcoals are promising sustainable alternatives to fossil reductants in nickel laterite smelting, potentially reducing greenhouse gas emissions.

Additional Information

  • Source:Mineral Processing & Extractive Metallurgy. 2024/12, Vol. 133, Issue 4, p160
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2024
  • ISSN:2572-6641
  • DOI:10.1177/25726641241301579
  • Accession Number:181482734
  • Copyright Statement:Copyright of Mineral Processing & Extractive Metallurgy is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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