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Research Journals >
Indian Journal of Fibre & Textile Research (IJFTR) >
IJFTR Vol.35 [2010] >
IJFTR Vol.35(3) [September 2010] >
| Title: | Study on hybrid yarns integrity through image processing and artificial intelligence techniques |
| Authors: | Baradari, Mehdi Gholipour
Semnani, Dariush
Sheikhzadeh, Mohammad |
| Keywords: | Abrasion resistance
Artificial intelligence
Cotton
Hybrid yarns
Image processing
Polyester |
| Issue Date: | Sep-2010 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | The commingled hybrid yarns of different structures have been used to
investigate the variation in their abrasion resistance over those of simple
yarns by calculating the abrasion destruction index. The cotton yarns of the counts
20Ne and 30Ne and cotton-polyester yarns of the same counts (20Ne and 30Ne) at 20, 40
and 60 bar pressure, have been commingled using flat and textured polyester
yarns of 150 den. The produced samples are then abraded by a standard metallic
object at four different stages including 150 abrasion cycles in each stage.
Through image analyzing technique, the abrasive damage of the samples has been
investigated and the abrasion indexes are calculated. The Kohonen neural
network is used to cluster the samples in 5 classes as per their abrasion
resistance. The cotton-polyester yarn (30Ne), hybrid samples from cotton (30Ne)
and textured polyester at 20, 40 and 60 bar; and the hybrid yarn made from cotton-polyester
(30Ne) and flat polyester at 60 bar are found to be the best. Furthermore, the
abrasion resistance of samples improves on increasing the pressure of
commingling process. Generally, cotton yarn and textured polyester yarn show the
better abrasion resistance in comparison with the other samples. |
| Page(s): | 206-212 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Source: | IJFTR Vol.35(3) [September 2010]
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