Erik Vanhatalo
Luleå University of Technology, Sweden
Kerstin Vännman
Luleå University of Technology, Sweden
Gunilla Hyllander
M.Sc., LKAB, Technology and Business Development, Sweden
Download articlePublished in: 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Linköping Electronic Conference Proceedings 26:99, p.
Published: 2008-02-15
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
This paper discusses the design and analysis of an experiment performed in a continuous process (CP). A full factorial design with replicates is used to test three types of pellets on two levels of a process variable in an experimental blast furnace process. Issues and considerations concerning the experimental design and analysis are discussed. For example; an adaptive experimental design is used. We propose a multivariate approach to the analysis of the experiment; in form of principal component analysis combined with analysis of variance. The factorial design in CPs is found to have a promising potential. However; CPs also demand special considerations when planning; performing and analyzing experiments; and therefore further development of experimental strategies and connected methods of analysis for CPs is needed.
Experimental design; factorial experiments; multivariate data analysis; principal component analysis; blast furnace experiments; split-plot design
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