Designing Paper Machine Headbox Using GA
Authors:
Jari Toivanen ab;
Jari P. H
m
l
inen c;
Kaisa Miettinen a;
Pasi Tarvainen d
m
l
inen c;
Kaisa Miettinen a;
Pasi Tarvainen d
| Affiliations: | a Department of Mathematical Information Technology, University of Jyv skyl , Jyv skyl , Finland |
b Department of Mathematical Information Technology, University of Jyv skyl , Finland |
|
c Metso Paper Inc., Paper Making Machines, Technology, Jyv skyl , Finland |
|
d Numerola Oy (Ltd.), Jyv skyl , Finland |
DOI:
10.1081/AMP-120022027
Publication Frequency:
12 issues per year
Published in:
Materials and Manufacturing Processes,
Volume
18,
Issue
3
January
2003
, pages 533
- 541
Subjects:
Ergonomics;
Industrial Design;
Industrial Textiles;
Manufacturing Engineering Design;
Manufacturing Technology;
Mechanical Engineering;
Operations Research;
Plant Engineering;
Production Systems;
Quality Control & Reliability;
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 |
| view references (20) |

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