Exploring weft knit fabric defects based on their presence and quality impact: A case study

While addressing grey fabric quality in a renowned circular weft knitting mill of Bangladesh, the authors experienced some questionable approach practiced by knitters. The subjective nature of defect detection by knitters/inspectors often time causes wrong emphasizing on frequently occurring defect(...

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Autores principales: Md Imranul Islam, A. K. M. Mobarok Hossain
Formato: article
Lenguaje:EN
Publicado: TU Dresden; Faculty of Mechanical Science and Engineering;Chair of Development and Assembly of Textile Products 2020
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Acceso en línea:https://doaj.org/article/73dc4c36dfa74df0967e1361323f07d4
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spelling oai:doaj.org-article:73dc4c36dfa74df0967e1361323f07d42021-11-08T17:12:34ZExploring weft knit fabric defects based on their presence and quality impact: A case study2701-939X10.25367/cdatp.2020.1.p57-64https://doaj.org/article/73dc4c36dfa74df0967e1361323f07d42020-11-01T00:00:00Zhttps://journals.qucosa.de/cdatp/article/view/11https://doaj.org/toc/2701-939XWhile addressing grey fabric quality in a renowned circular weft knitting mill of Bangladesh, the authors experienced some questionable approach practiced by knitters. The subjective nature of defect detection by knitters/inspectors often time causes wrong emphasizing on frequently occurring defect(s) instead of focusing on influential defect(s) and subsequently, employing wrong quality control approach to minimize the grey fabric defects. Knit fabric defects (e.g., hole, stain, press-off, gout, miss knit, barrè, tucking, etc.) should be assessed by type, fault coverage, gravity and the frequency of occurrence instead of focusing only on frequency of occurrence in the fabric. In this study, grey weft-knitted fabric quality is investigated based on influential defects instead of frequently occurring defects. Quality data of single jersey, fleece and 1X1 rib were gathered and analyzed from an established knitting factory in Bangladesh over three months duration. A fabric inspection machine and 4-point inspection method were employed in this study. Gout was found as the most frequently occurring defect for each fabric type but not influential for rib fabric. For a significant amount of knitted fabrics, totaling of 55,524.91 m2 inspected fabric, the most occurring defects were ranked as gout, press-off, hole, miss knit, stain, and tucking and influential defects (based on inspection points) were ranked as gout, press-off, hole, stain, miss knit, and tucking (highest to lowest). In the inspection report, the knitter/inspector mistakenly categorized gout as the most occurring as well as the most influential defect for 1X1 rib fabrics and suggested remedies accordingly.Md Imranul IslamA. K. M. Mobarok HossainTU Dresden; Faculty of Mechanical Science and Engineering;Chair of Development and Assembly of Textile Productsarticleknitdefectquality4-point systemweftfabricinfluentialTextile bleaching, dyeing, printing, etc.TP890-933Engineering machinery, tools, and implementsTA213-215ENCommunications in Development and Assembling of Textile Products, Vol 1, Iss 1, Pp 57-64 (2020)
institution DOAJ
collection DOAJ
language EN
topic knit
defect
quality
4-point system
weft
fabric
influential
Textile bleaching, dyeing, printing, etc.
TP890-933
Engineering machinery, tools, and implements
TA213-215
spellingShingle knit
defect
quality
4-point system
weft
fabric
influential
Textile bleaching, dyeing, printing, etc.
TP890-933
Engineering machinery, tools, and implements
TA213-215
Md Imranul Islam
A. K. M. Mobarok Hossain
Exploring weft knit fabric defects based on their presence and quality impact: A case study
description While addressing grey fabric quality in a renowned circular weft knitting mill of Bangladesh, the authors experienced some questionable approach practiced by knitters. The subjective nature of defect detection by knitters/inspectors often time causes wrong emphasizing on frequently occurring defect(s) instead of focusing on influential defect(s) and subsequently, employing wrong quality control approach to minimize the grey fabric defects. Knit fabric defects (e.g., hole, stain, press-off, gout, miss knit, barrè, tucking, etc.) should be assessed by type, fault coverage, gravity and the frequency of occurrence instead of focusing only on frequency of occurrence in the fabric. In this study, grey weft-knitted fabric quality is investigated based on influential defects instead of frequently occurring defects. Quality data of single jersey, fleece and 1X1 rib were gathered and analyzed from an established knitting factory in Bangladesh over three months duration. A fabric inspection machine and 4-point inspection method were employed in this study. Gout was found as the most frequently occurring defect for each fabric type but not influential for rib fabric. For a significant amount of knitted fabrics, totaling of 55,524.91 m2 inspected fabric, the most occurring defects were ranked as gout, press-off, hole, miss knit, stain, and tucking and influential defects (based on inspection points) were ranked as gout, press-off, hole, stain, miss knit, and tucking (highest to lowest). In the inspection report, the knitter/inspector mistakenly categorized gout as the most occurring as well as the most influential defect for 1X1 rib fabrics and suggested remedies accordingly.
format article
author Md Imranul Islam
A. K. M. Mobarok Hossain
author_facet Md Imranul Islam
A. K. M. Mobarok Hossain
author_sort Md Imranul Islam
title Exploring weft knit fabric defects based on their presence and quality impact: A case study
title_short Exploring weft knit fabric defects based on their presence and quality impact: A case study
title_full Exploring weft knit fabric defects based on their presence and quality impact: A case study
title_fullStr Exploring weft knit fabric defects based on their presence and quality impact: A case study
title_full_unstemmed Exploring weft knit fabric defects based on their presence and quality impact: A case study
title_sort exploring weft knit fabric defects based on their presence and quality impact: a case study
publisher TU Dresden; Faculty of Mechanical Science and Engineering;Chair of Development and Assembly of Textile Products
publishDate 2020
url https://doaj.org/article/73dc4c36dfa74df0967e1361323f07d4
work_keys_str_mv AT mdimranulislam exploringweftknitfabricdefectsbasedontheirpresenceandqualityimpactacasestudy
AT akmmobarokhossain exploringweftknitfabricdefectsbasedontheirpresenceandqualityimpactacasestudy
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