Quality and structural properties of gimp fancy yarns using the Design of Experiments

Malek Alshukur*, Alexander Fotheringham

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

The structure and quality characteristics of gimp fancy yarns were studied using an experimental design of seven factors with eight experimental runs. Non-gimp projections were considered to be structural defects; thus, they were counted and their numbers, average areas, and average circularity ratios were measured to account for those defects. Assigning the effects to factors and interactions was completed by taking into account gimp yarn structure and its manufacturing process. It was found that using two threads for the core component of gimp yarn, rather than only one thread, was an advantage because two threads improved the structure and appearance of the fancy yarn. Moreover, suitable stiffness for the effect component may yield the best results. The overfeed ratio must be as small as possible to make yarn with corrugations. It was possible to improve the manufacturing process, to study properties of gimp fancy yarns, to build statistical models to quantify each of the defect features and to minimize variability and resources. Such improvements play a major role in improving the quality of fancy fabrics and clothes made from these fancy yarns.

Original languageEnglish
Pages (from-to)490-502
Number of pages13
JournalJournal of The Textile Institute
Volume106
Issue number5
Early online date20 Jun 2014
DOIs
Publication statusPublished - 2015

Keywords

  • circularity ratio of fancy profile
  • DOE
  • fancy gimp yarns
  • shape factor of fancy yarn
  • size of fancy profile

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • Industrial and Manufacturing Engineering
  • Polymers and Plastics
  • Materials Science (miscellaneous)

Fingerprint

Dive into the research topics of 'Quality and structural properties of gimp fancy yarns using the Design of Experiments'. Together they form a unique fingerprint.

Cite this