Connecting Process Variables to Product Properties in Papermaking: A Multivariate Approach
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
In paper-making there are numerous of parameters that control the final outcome of the paper. This thesis examines the connections between paper properties and influential factors in the manufacturing process, by looking at the entire fiber line from the incoming wood chips to the actual finished paper. The analysis is done by studying how important process variables connect to the properties of the paper, and also by investigating the possibilities of modeling how these affect the final product.There are numerous factors that affect the final outcome of a manufactured paper. Five of these; wood type, cooking time, refining energy input, amount of starch and roll pressure in the paper machine, have been investigated in a series of laboratory experiments. A factorial designed experiment was set up to investigate the mentioned factors impact on paper properties. Focus in the study was laid on two aspects. One was to investigate interaction effects among the process variables and the significance of theseinteraction effects as well as the main effects. For the second part it was possible to utilize these interaction effects and deduce which combinations of factor levels that could result in equal output levels of certain paper parameters.Being able to predict the paper quality as accurately as possible is another importantaspect in paper-making. In the second study in the thesis the relation between the paper properties and process variations are charted. Through different multivariate methods prediction models were created based on the data gathered in the designed experiments. The underlying correlation structures in the data could be used in conjunction with the design factors to derive models that connected process parameters to paper properties. With the help of these models it is possible to predict what paper property levels toexpect when altering process variables.
Place, publisher, year, edition, pages
Luleå tekniska universitet, 2014.
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:ltu:diva-25731Local ID: ad8206f9-c2d8-4cea-a9f1-ad6c9fb155dbISBN: 978-91-7439-878-6ISBN: 978-91-7439-879-3 (PDF)OAI: oai:DiVA.org:ltu-25731DiVA: diva2:998886
Godkänd; 2014; 20140217 (mikhak); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Mikael Håkansson Ämne: Signalbehandling/Signal Processing Uppsats: Connecting Process Variables to Product Properties in Papermaking: A Multivariate Approach Examinator: Professor Johan Carlson, Institutionen för system- och rymdteknik, Luleå tekniska universitet Diskutant: Professor Olle Hagman, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Tid: Fredag den 11 april 2014 kl 13.00 Plats: A109, Luleå tekniska universitet2016-09-302016-09-30Bibliographically approved