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Prediction and Optimization of Paper Quality Properties in Paper Manufacturing
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Prediktering och optimering av papperkvalitén vid papperstillverkning (English)
Abstract [en]

A problem in the paper industry is that most paper quality properties can only be measured in lab after a full tambour of paper is produced. The tambour length is normally about 20-40 km and takes about one hour to produce. This may lead to one hour production and several km of paper becomes wasted due to poor paper quality. To reduce this problem, prediction models can be used to estimate the paper quality properties on-line. By using these models, a control strategy can be developed, which make sure that the paper quality properties are fulfilled. Optimization has here been used to find a control strategy that minimizes the cost to produce paper of with desired paper quality properties.

In the thesis, focus has been to find models for prediction of paper quality properties, which includes synchronizing data in different parts of the paper machine and lab, variable selection and filtering. Focus has also been on minimizing production cost, utilizing the models of paper quality properties. A sensitivity analysis has been done for a number of variables in order to increase the understanding of the optimization.

Abstract [sv]

Ett stort problem inom pappersindustrin i dag är att de flesta papperskvaliteter bara kan mätas i ett labb efter en hel tambur är producerad. En tamburs längd är ca 20-40 km och tar ungefär en timme att producera. Detta kan leda till att en hel timmes produktion och flera kilometer av papper går till spillo på grund av dålig papperskvalitet. För att lösa detta kan en prediktionsmodell användas för att uppskatta papperskvaliteterna on-line. Med denna modell kan även en kostnadsoptimering utföras för att producera samma kvalitet men till ett lägre pris.

I detta examensarbete ligger största fokus p å att välja en modell för att prediktera papperskvaliteterna. Detta inkluderar synkronisera data i olika delar av pappersmaskinen, variabelselektion och filtrering. Nästa fokus är att optimera produktionskostnaderna baserat p å prediktionsmodellen. En känslighetsanalys utförs p å kostnaden för ett antal variabler för att öka förståelsen för modellen.

Place, publisher, year, edition, pages
2016.
Series
TRITA-MAT-E ; 2016:73
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-200383OAI: oai:DiVA.org:kth-200383DiVA, id: diva2:1069160
External cooperation
ABB, Västerås
Subject / course
Optimization and Systems Theory
Educational program
Master of Science - Applied and Computational Mathematics
Supervisors
Examiners
Available from: 2017-01-27 Created: 2017-01-26 Last updated: 2017-01-27Bibliographically approved

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CiteExportLink to record
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