6533b825fe1ef96bd1281d57
RESEARCH PRODUCT
Designing Paper Machine Headbox Using GA
Pasi TarvainenJari HämäläinenKaisa MiettinenJari Toivanensubject
Mathematical optimizationbusiness.product_categoryOptimization problemBasis (linear algebra)Mechanical EngineeringSortingMulti-objective optimizationLeast squaresIndustrial and Manufacturing EngineeringPaper machineMechanics of MaterialsGenetic algorithmGeneral Materials SciencebusinessMathematicsCommunication channeldescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2003-01-08 | Materials and Manufacturing Processes |