Statistical Analysis of Dross Data for Hydro Aluminium Casthouses

Reducing the formation of dross is important for a sound economic result in aluminium casthouses. In order to reduce the amount of dross the main drivers affecting the dross creation need to be identified. The first step towards identifying these drivers is to measure the dross amount on a charge ba...

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Bibliographic Details
Published in:AIP conference proceedings 2012-03
Main Authors: Rosenkilde, Christian, Johansen, Inge, Bowles, Amanda
Format: Article
Language:English
Online Access:Get full text
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Summary:Reducing the formation of dross is important for a sound economic result in aluminium casthouses. In order to reduce the amount of dross the main drivers affecting the dross creation need to be identified. The first step towards identifying these drivers is to measure the dross amount on a charge basis. With a sufficiently large dataset it is possible to apply statistical methods to look for correlations between different parameters and the dross formation. It is also possible to rank the different parameters and identify those that are the most import for dross formation. In this paper multivariate statistical analysis is used to correlate the various input parameters and dross formation on a charge basis and to identify the most important driver/s for dross formation. Examples from a remelt extrusion ingot casthouse and a primary extrusion ingot casthouse are given and discussed.
ISSN:0094-243X