Investigation of Fly Generation During Cone-Winding Using the Image Processing Technique

被引:0
|
作者
Ghane, Mohammad [1 ]
Tafti, Seyed Mohammad Karbalaei [1 ]
Semnani, Dariush [1 ]
Sheikhzadeh, Mohammad [1 ]
机构
[1] Isfahan Univ Technol, Dept Text Engn, Esfahan 8415683111, Iran
关键词
fibre fly; winding machine; hairiness; hair counts; image processing; fly length; COTTON YARN; HAIRINESS;
D O I
暂无
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
Fibre fly generation is a major problem for the textile industry, not only for health reasons but also because of quality problems associated with products. In this work, fiber fly generation during the cone-winding process was studied' emphasizing the effect of yarn spinning parameters. 100% acrylic yarns were produced with different twists and linear densities. The hairiness and hair counts of the yarns were measured using an evenness testing machine. In order to collect the fibre fly in the cone-winding process, the whole path of the yarn, from bobbin to cone, was covered with a plastic chamber so that the fly generated could be collected. The image processing technique was then used to calculate the length of flying fibres generated. The number of flies in each group length and also the total length of flies in 100 meters of yarn were calculated. The number of flies in each length group is defined as fly counts. For each yarn type 25 samples, 500 meters of yarn on each sample, were tested. The results revealed that both the twist and linear density of the yarn has a significant effect on the amount of fly generated during the winding process. As the twist of the yarn increases, the amount of fibre fly decreases. This effect is greater in higher linear densities. For all samples the total length of flies was also calculated and compared to the hairiness index of the yarn. The results showed a good linear regression between these two quantities, with a linear regression coefficient of R-2 = 0.905.
引用
收藏
页码:58 / 62
页数:5
相关论文
共 50 条
  • [1] Investigation of fly generation during cone-winding using the image processing technique
    Ghane, Mohammad
    Tafti, Seyed Mohammad Karbalaei
    Semnani, Dariush
    Sheikhzadeh, Mohammad
    Fibres and Textiles in Eastern Europe, 2012, 95 (06): : 58 - 62
  • [2] Contribution of cone-winding operation to the fibre-shedding behaviour of cotton yarn during knitting
    Ghosh, Subrata
    Bhowmick, Niranjan
    JOURNAL OF THE TEXTILE INSTITUTE, 2009, 100 (01) : 64 - 75
  • [3] INVESTIGATION OF ELECTRICAL BREAKDOWN IN AIR USING AN IMAGE-PROCESSING TECHNIQUE
    WATSON, DB
    BARBER, MI
    SAMUELS, KA
    INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 1992, 29 (04) : 313 - 320
  • [4] Experimental investigation of electrode wear assessment in the EDM process using image processing technique
    Khleif, Ali Abbar
    OPEN ENGINEERING, 2023, 13 (01):
  • [5] Model identification using image processing technique
    Sujitjorn, S
    Srikaew, A
    Puangdownreong, D
    Attakitmongcol, K
    Totarong, P
    CCCT 2003, VOL 3, PROCEEDINGS, 2003, : 530 - 535
  • [6] Image processing technique using the compressed wavelet
    Liu, Quan
    Huang, Xiaochun
    Wang, Huawei
    Wuhan Gongye Daxue Xuebao/Journal of Wuhan University of Technology, 2000, 22 (04): : 31 - 32
  • [7] SEGMENTING FLY ASH PARTICLES USING IMAGE PROCESSING TECHNIQUES
    Asmari, Ali
    Hoberock, L. L.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2017, VOL 4A, 2018,
  • [8] Image Processing-Based On-Line Technique to detect Power Transformer Winding Faults
    Abu-Siada, A.
    Islam, S.
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 5549 - 5554
  • [9] Hybrid explainable image caption generation using image processing and natural language processing
    Mishra, Atul
    Agrawal, Anubhav
    Bhasker, Shailendra
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2024, 15 (10) : 4874 - 4884
  • [10] Image Description Generation without Image Processing using Fuzzy Inference
    Ito, Naho
    Hagiwara, Masafumi
    2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,