Modeling the consumption of sewing thread for stitch class 301 through image analysis by using Fourier series

Javed Z., Ahmad F., Khan Q., Naeem M. S., Javaid M. U., Jabbar A., ...Daha Fazla

TEXTILE RESEARCH JOURNAL, cilt.92, sa.15-16, ss.2792-2799, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 92 Sayı: 15-16
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1177/00405175211017400
  • Dergi Adı: TEXTILE RESEARCH JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Applied Science & Technology Source, Chemical Abstracts Core, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.2792-2799
  • Anahtar Kelimeler: Stitch class 300, Fourier series, mathematical model, sewing thread consumption, GEOMETRICAL MODEL, SEAM PERFORMANCE, CALCULATE, COTTON
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This research work aims at modeling the sewing thread consumption for stitch class 301 through image analysis by using Fourier series. A mathematical model was developed by using the geometry of stitch class 301 for calculating sewing thread consumption. The modeling of stitch class 301 was conducted by changing the stitch density and thickness of the stitched fabric. The stitch density was adjusted by varying the stitch length (2, 3 and 4 mm) and the thickness of stitched fabric (2, 3 and 4 plies of fabric).The interlacement of sewing thread between the needle and bobbin was used for the measurement of arc length of one stitch. The total consumption of sewing thread was determined by multiplying the arc length by 4. The developed model was verified by using nine different stitched samples for comparing the predicted and measured values of sewing thread consumption. This model predicted the sewing thread consumption with 95% accuracy. Error percentages were also calculated for determining the major influencing factors that affected the sewing thread consumption. The proposed model can effectively be employed in garment industries for determining sewing thread consumption.