Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9632499 | Hydrometallurgy | 2005 | 11 Pages |
Abstract
Data reconciliation is a proven technique to filter out measurement errors, estimate unmeasured process variables, and improve the reliability of calculated performance indices. Although data reconciliation techniques are well accepted in mineral processing, applications to hydrometallurgy processes are not commonly encountered in the literature. This paper shows that data reconciliation can advantageously be applied to measurements from batch copper solvent extraction tests to improve the estimation of the extraction chemical equilibrium constant of the process.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Claude Bazin, Daniel Hodouin, Mohamed Zouadi,