Multi response optimization of yarn strength, imperfections and yarn evenness for rotor spun yarn.

dc.contributor.authorNantumbwe, Dorothy
dc.date.accessioned2022-05-12T15:48:40Z
dc.date.available2022-05-12T15:48:40Z
dc.date.issued2015-04
dc.descriptionDissertationen_US
dc.description.abstractIn this study, a multiple response optimization model based on response surface methodology was developed to determine the best rotor speed and yarn twist level for optimum rotor yam strength and unevenness and imperfections. Cotton yam of 30 tex, was produced on rotor spinning machine with different twist levels (i.e. 500, 550, 600 and 700 tpm) at different rotor speeds (i.e. 70000, 75,000, 80000, 90000 and 100000 rpm). Yam quality characteristics were determined for all the experiments. Based on the results, a multiple response optimization model was developed using response surface regression on MINITAB® 17 statistical tool.en_US
dc.description.sponsorshipDr. Nibikora Ildephonse, Busitema University.en_US
dc.identifier.citationNantumbwe, Dorothy. (2015). Multi response optimization of yarn strength, imperfections and yarn evenness for rotor spun yarn. Busitema University. Unpublished dissertation.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/1108
dc.language.isoenen_US
dc.publisherBusitema University.en_US
dc.subjectYarn strengthen_US
dc.subjectYarn evennessen_US
dc.subjectRotor spun yarnen_US
dc.titleMulti response optimization of yarn strength, imperfections and yarn evenness for rotor spun yarn.en_US
dc.typeThesisen_US

Nantumbwe - Dept. of TGE, 2015.pdf
1.83 MB
Adobe Portable Document Format
Dissertation
Nantumbwe - Abstract.pdf
562.16 KB
Adobe Portable Document Format
Abstract

license.txt
1.71 KB
Item-specific license agreed upon to submission