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Fibre based models for predicting tensile strength of paper
2009 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This degree project concerning evaluation of strength potential in paper made by mechanical pulp based on fibre properties has been carried out at SCA R&D Centre in Sundsvall. In the mechanical pulping process, the energy consumption and the strength properties of the paper depend on the raw material. To evolve the process towards lower energy consumption and an improved end product, a greater understanding of the connection between the wood fibres and the paper strength is needed. In this project, the fibre properties, such as dimensions and strength properties have been characterized and the tensile strength of the final paper has been modelled by modifying the Page and the Shear-lag model as well as with multivariate analysis. The methodology of this study was to collect data from mechanical pulps with a wide range of freeness levels. The fibres were characterized by their dimensions length, width and cell wall thickness, but also properties like curl, kink, fibrillation, slenderness ratio and collapsibility. The strength of fibres as well as the interfibre bonds were measured. Model building followed the measurements and the final models were tested using an independent set of pulps. It was found that the Page model for predicting tensile strength index could be improved by expanding the expression for fibre strength to incorporate Z-parameter and curl index and by expanding the interfibre bond strength expression to incorporate fibrillation index and curl index. The best model to use is Shear-lag whether in its original form or by simplifying it to resemble three serial connected resistors consisting of fibre strength, interfibre bond strength and fibre deformation.

Place, publisher, year, edition, pages
Keyword [en]
Technology, mechanical pulp, strength properties, fibre deformations
Keyword [sv]
URN: urn:nbn:se:ltu:diva-45452ISRN: LTU-EX--09/036--SELocal ID: 323d4386-b1df-4971-912e-ba0ce521b486OAI: diva2:1018743
Subject / course
Student thesis, at least 30 credits
Educational program
Wood Engineering, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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