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Summary Knit Fabric, Knitting Fault, Causes, Remedies, Inspection
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Knit Fabric, Knitting Fault, Causes, Remedies, Inspection for textile science
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, Science 2016, 5(6): 119-131 DOI:10.5923/j.textile.20160506.01
Study on Different Types of Knitting Faults,
Causes and Remedies of Knit Fabrics
Muhammad Abu Taher, Md. Mostafizur Rahman, Muhammad Ashfak Jahangir,
Md. Shipan Mia, Ashaduzzaman*
Department of Textile Engineering, Southeast University, Dhaka, Bangladesh
Abstract In this study we have done study on knit fabric faults and their causes. In Textile industry faults are frequently
occurred and stitch length has a direct effect on these faults. For changing the stitch length at same count at three same
diametric double jersey knitting machine on same Rib structure we found the effect of stitch length on common Knit fabric
faults. Changing of stitch length gradually increases or decreases the amount of some major faults on knit industry such as
Hole/Cracks, Loops/Drop stitches, Lycra out, Knots & etc. For this study, we collected different samples of common knit
fabric faults & some quality inspection sheet done in 4-point system method from a reputed Textile Industry. Firstly, we
analyzed the data from the quality inspection sheets and then we have analyzed how changing of stitch length affects on the
increasing or decreasing of majorly occurred faults on grey knit fabric.
Keywords Knit Fabric, Knitting Fault, Causes, Remedies, Inspection
minimized, by monitoring of the circular knitting process
1. Introduction (Jearranai and Tiluk), 1999.
Many researchers have applied computer vision to
Knitting is one of the important industrial sectors of improve inspection method of human vision in textile
Bangladesh. The maximum share our export oriented RMG products, in most of them, the image of knitted garments had
is originated from knit fabrics Export means quality; we been considered to specify the faults features. Others work
must ensure 100% quality of our export oriented RMG aimed to classify defects in knitted fabrics by using image
products. [1] Due to increasing demand for quality knitted analysis and neutral network algorithm or fuzzy logic. All
fabrics, high quality requirements are today greater since these methods are not completely reliable because image
customer has become more aware of “non-quality analysis of knitted fabrics involves difficulties due to the
“ problems, in order to avoid fabric rejection , knitting mills loop structures and yarn hairiness, compare to woven fabrics
have to produce fabrics of high quality, constantly [2, 3]. consisting of neat warp and weft yarns. Knitted fabric faults
Detection of faults during production of knitted fabric with can also be detected by inspecting yarn input tension and
circular knitting machine is crucial for improved quality and loop but only few types of faults are concerned by these
productivity any variation to the knitted process needs to be methods.
investigated and corrected. The high quality standard can be Human inspection by using knitted fabric inspection
guaranteed incorporating appropriate quality assurance. machines remains today the most used way to classify faults
Industrial analysis indicate that quality can be improved, and after knitting and after finishing [5]. Generally, faults are
defect cost minimized, by monitoring the circular knitting classified by type and by frequency in the inspected knitted
process. [3] roll. The inspection assessment permits to appreciate fabric
[4], Detection of faults during production of knitted fabric quality. The judgments of fabric quality depend on faults
with circular knitting machine (CKM) is crucial for tolerance levels fixed by each knitter and could be in some
improved quality and productivity. Any variation to the cases subjective because it is often based only on the number
knitting process needs to be investigated and corrected. The of faults and not on fault size and gravity [6].
high quality standard can be guaranteed by incorporating [7]. A new inspection method was proposed in order to
appropriate quality assurance. Industrial analysis indicate classify faults and help knitter to appreciate more objectively
that product quality can be improved, and defect cost fabric quality.
* Corresponding author:
3269234022@qq.com (Ashaduzzaman) 2. Matrial and Methods
Published online at http://journal.sapub.org/textile
Copyright © 2016 Scientific & Academic Publishing. All Rights Reserved In order to evaluate objectively, the knitted fabric roll
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