Return to search

Implementation of statistical process controls (SPC) principles in controlling porosity of cellulose-based nanofiber mats

Porosity is one of the most critical functional attributes regarding non-woven cellulose-based nanofiber mats. It is of crucial importance when it comes to filtration because it is one of the factors that determine at which rate the fluids will pass through the filters and particle rejection cut-off. In this thesis a method with systematic studies on controlling porosity in non-woven cellulose-based nanofiber mats is performed. This is done through statistical process controls and empirical verifications using two batches of cellulose materials. Cellulose A and cellulose B were extracted from green filamentous algae that were sourced at different locations and time by different vendors. By choosing a DoE matrix from a full factorial design with an optimum set of input factors and then proceeding to manufacture the non-woven cellulose-based nanofiber mats and analysing the output parameters this could be achieved. The input parameters were the size of the chamber and number of passes and the output response was the fibre length. Every experiment was done in triplicates and non-woven cellulose filters were made from each experiment. The pore size, flux, thickness, and basis weight were then measured to observe how the different cellulose dispersions affected the non-woven cellulose filters. The results of this work showed that controlling porosity of non-woven mats is not trivial and depends on complex relationships between several parameters. Cellulose A filters showed lower pore size values compared to cellulose B. By careful processing of the materials, the batch-to-batch variability between different raw materials could be significantly decreased.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-454831
Date January 2021
CreatorsSchouri, Samir
PublisherUppsala universitet, Tillämpad mekanik
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationUPTEC K, 1650-8297 ; 21011

Page generated in 0.0026 seconds