• DocumentCode
    1897337
  • Title

    Automatic yarn characterization system

  • Author

    Carvalho, Vítor ; Soares, Filomena ; Belsley, Michael ; Vasconcelos, Rosa M.

  • Author_Institution
    Dept. of Ind. Electron., Minho Univ., Guimaraes
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    780
  • Lastpage
    783
  • Abstract
    This paper presents an innovative, low cost, portable and high-precision yarn evaluation tester, YSQ (Yarn System Quality), for quality control of yarn characteristics under laboratory conditions. It presents a modular format, which can integrate simultaneously yarn hairiness, mass, regularity and diameter measurements. The quantification of yarn hairiness and diameter variation (with a sampling resolution length of 1 mm) is carried out using photodiodes; the diameter characterization, based on 0.5 mm width samples, employs a linear photodiode array; the measurements of mass variation, based on samples of 1 mm, employs a parallel plates capacitive sensor. In the YSQ measurement parameters based on optical sensors, a coherent signal processing technique with Fourier analysis is used, to obtain linear and consistent output signal variations. A comparison between results obtained using the YSQ and a commercially available solution is presented.
  • Keywords
    Fourier analysis; capacitive sensors; materials testing; optical sensors; quality control; signal processing; textile industry; yarn; automatic yarn characterization system; optical sensors; parallel plates capacitive sensor; quality control; signal processing technique; textile industry; yarn evaluation tester; yarn hairiness; yarn system quality; Capacitive sensors; Costs; Laboratories; Length measurement; Photodiodes; Quality control; Sampling methods; Sensor arrays; System testing; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2008 IEEE
  • Conference_Location
    Lecce
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-2580-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2008.4716557
  • Filename
    4716557