The use of decision methods in the selection of leaching alternatives

L. Rintala, J. Aromaa, O. Forsén

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

Traditionally the hydrometallurgical process routes development has been made based on personnel's experiences and preferences. Knowledge about different decisions has turned to tacit knowledge, which is very difficult to communicate to other people. For this reason an attempt has been made to develop a tool that could be used as a selection tool when making decisions between different leaching alternatives. That would help both to collect and to transfer that information for others. This work is a part of a larger study that's aim is to create a unit process selection methodology for low grade ores using technological and economical data. For effective use of a decision support method a description of the decision problem, collection and presentation of data and well constructed logics for retrieving data are needed. The description of the research problem depends on the application. Collection and presentation of the data must be planned together with logics for retrieving data. Several retrieval methods could be used with the same data. In this work Case Based Reasoning has been selected as data retrieving method. The main focus in this work is to establish what kind of method would help in the rough selection between the different leaching processes. The optimization of the process chain would be the next stage of development work but is not discussed here. Different examples how to represent applicability between different leaching processes are discussed. Variables to be compared to each other can be selectivity, dwell time or energy consumption per produced metal gram.
Original languageEnglish
Title of host publicationProceedings - European Metallurgical Conference, EMC 2011
PublisherGDMB Verlag
Pages1659-1672
ISBN (Electronic)978-394027640-7
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication

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