Optimization of saprolite ore composites reduction process using artificial neural network (ANN)

Angella Natalia Ghea Puspita, Isti Surjandari, Zulkarnain, Adji Kawigraha, Nur Vita Permatasari

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

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 process in saprolite ore composites. The results of this reduction process are analyzed using X Ray-Difference Fluorescence (XRF). The objective of this research is to obtain an optimal factor combination of the reduction process of saprolite ore composites, which is important to develop effective, efficient and systematic methods. This study utilises a neural network approach that will produce optimal factors with the estimate on the composition in the reduction process of saprolite ore composites. The optimal factor combination is a coal ratio of 15% with a type of additive Ca2SO4 or Composite SB15Ca10P2 with a temperature of 1200 0C and time duration of 3 hours.

Original languageEnglish
Pages (from-to)424-432
Number of pages9
JournalProcedia Computer Science
Volume161
DOIs
Publication statusPublished - 1 Jan 2019
Event5th Information Systems International Conference, ISICO 2019 - Surabaya, Indonesia
Duration: 23 Jul 201924 Jul 2019

Keywords

  • Artificial neural network
  • Optimization
  • Reduction process
  • Saprolite ore
  • Tube furnace

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