Optimization of saprolite ore composites reduction process using artificial neural network (ANN)
Author: Angella Natalia Ghea Puspita, Isti Surjandari, Adji Kawigraha, Nur Vita Permatasari
Informations
JournalProcedia Computer Science
PublisherElsevier, Elsevier B.V.
Volume & IssueVol. 161
Pages424-432
Publication Year2019
ISSN18770509
Source TypeGoogle Scholar
Citations
Scopus: 3
Google Scholar: 5
PubMed: 3
Abstract
Indonesia is the third largest country that has laterite reserves. The potential for resources and nickel ore reserves is quite large in Indonesia, but nickel content in nature is very small. One type of laterite nickel ore is saprolite ore, which has small Fe and large Ni content (around 1.5 - 2.5%). In accordance with the Law No. 4 of 2009 concerning Mineral and Coal Mining in increasing the added value of nickel ore, it is necessary to process and refine nickel ore. One of the nickel ore processing/refining technologies is through Pyrometallurgy technique. Pyrometallurgy technique involves high temperature and large energy. The reduction process is one of the nickel ore processing process using the Pyrometallurgy technique. In addition to the reduction process, the use of composites which are mixing of saprolite ore, coal, additive and bentonite has an important role. There are several factors that influence the reduction …
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