Next Article in Journal
Ab initio Study of Alkyl-oxonium Cations CnH2n+1OH2+, n=1,2,3,4
Previous Article in Journal / Special Issue
The Interpretation of the Short Range Disorder in the Fluorene-TCNE Crystal Structure
Article Menu

Export Article

Open AccessArticle
Int. J. Mol. Sci. 2004, 5(3), 101-109; doi:10.3390/i5030101

A GMDH Approach to Modelling Gibbsite Solubility in Bayer Process Liquors

Nabalco Pty Ltd, P.O. Box 21, Nhulunbuy, Northern Territory, 0881, Australia
Author to whom correspondence should be addressed.
Received: 4 May 2003 / Accepted: 19 August 2003 / Published: 20 February 2004
View Full-Text   |   Download PDF [154 KB, uploaded 19 June 2014]   |  


The most widely employed industrial process for producing alumina (Bayer process) involves the dissolution of available aluminium hydroxide minerals present in raw bauxite into high temperature sodium hydroxide solutions. On cooling of the solution, or liquor in the industrial vernacular, Al is precipitated from solution in the form of gibbsite (Al(OH)3). In order to optimise the process, a detailed knowledge of factors influencing gibbsite solubility is required, a problem that is confounded by the presence of liquor impurities. In this paper, the use of the Group Method of Data Handling (GMDH) polynomial neural network for developing a gibbsite equilibrium solubility model for Bayer process liquors is discussed. The resulting predictive model appears to correctly incorporate the effects of liquor impurities and is found to offer a level of performance comparable to the most sophisticated phenomenological model presented to date. View Full-Text
Keywords: model; gibbsite; solubility; Bayer process liquor; neural network analysis model; gibbsite; solubility; Bayer process liquor; neural network analysis

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bennett, F.R.; Crew, P.; Muller, J.K. A GMDH Approach to Modelling Gibbsite Solubility in Bayer Process Liquors. Int. J. Mol. Sci. 2004, 5, 101-109.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top