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Designing Paper Machine Headbox Using GA 

Authors: Jari Toivanen ab;  Jari P. Haumlmaumllaumlinen c;  Kaisa Miettinen a; Pasi Tarvainen d
Affiliations:   a Department of Mathematical Information Technology, University of Jyvaumlskylauml, Jyvaumlskylauml, Finland
b Department of Mathematical Information Technology, University of Jyvaumlskylauml, Finland
c Metso Paper Inc., Paper Making Machines, Technology, Jyvaumlskylauml, Finland
d Numerola Oy (Ltd.), Jyvaumlskylauml, Finland
DOI: 10.1081/AMP-120022027
Publication Frequency: 12 issues per year
Published in: journal Materials and Manufacturing Processes, Volume 18, Issue 3 January 2003 , pages 533 - 541
Formats available: HTML (English) : PDF (English)
Previously published as: Advanced Manufacturing Processes (0884-2558) until 1987
Previously published as: Advanced Materials and Manufacturing Processes (0898-2090) until 1988
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Abstract

A non-smooth biobjective optimization problem for designing the shape of a slice channel in a paper machine headbox is described. The conflicting goals defining the optimization problem are the ones determining important quality properties of produced paper: 1) basis weight should be even and 2) the wood fibers of paper should mainly be oriented to the machine direction across the width of the whole paper machine. The novelty of the considered approach is that maximum deviations are used instead of least squares when objective functions are formed. For the solution of this problem, a multiobjective genetic algorithm based on nondominated sorting is considered. The numerical results demonstrate the ability to obtain a large set of nondominated designs.
Keywords: Multiobjective optimization; Optimal shape design; Paper machine headbox; Genetic algorithm
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