title: Keywords: textile manufacturing, sensor technologies, machine vision, spectroscopy, 
  process control
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  Keywords: textile manufacturing, sensor technologies, machine vision, spectroscopy,
  process control Pdf ko'rish
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  bet | 542/693 | Sana | 13.05.2024 | Hajmi | 15,56 Mb. | | #228860 |
  Bog'liq ТўпламKeywords: textile manufacturing, sensor technologies, machine vision, spectroscopy,
  process control.
  Introduction. Textile materials have many different physical and chemical properties that
  determine their performance and suitability for various applications. These properties include
  texture, density, elasticity, strength, absorbency, thermal conductivity, and more. Controlling and
  optimizing these properties during textile manufacturing can improve the quality, durability, and
  functionality of textile products. Recent advances in sensor technologies present new
  opportunities for more precise in-line measurement and control of textile properties during
  manufacturing. This article reviews the application of different sensor technologies for
  determining and controlling key properties of textiles.
  This literature review synthesizes findings from current research on the use of sensor
  technologies in textile manufacturing. Relevant research articles were identified through searches
  of Google Scholar and scientific databases including ScienceDirect, Wiley Online Library, and
  SpringerLink. Sources were limited to articles published within the last 10 years in peer-reviewed
  journals and conference proceedings. The following types of sensor technologies applied to
  textile manufacturing were reviewed: machine vision systems, near-infrared spectroscopy,
  hyperspectral imaging, tactile sensors, piezoelectric sensors, and thermoelectric sensors. Key
  applications identified included monitoring textile dimension, defects, color, moisture content,
  and sizing pickup.
  Machine vision systems using digital cameras and image analysis software are widely used
  in textile manufacturing for automated optical inspection and process control. Near-infrared
  spectroscopy and hyperspectral imaging enable non-contact measurement of color as well as
  chemical properties related to fiber composition, moisture content, and impurities. Tactile and
  piezoelectric sensors can detect flaws and measure geometric properties like fabric thickness.
  Thermoelectric sensors monitor temperature during drying and heating processes. Combined in-
  line sensor systems provide comprehensive real-time monitoring and feedback that improves
  quality control and optimizes production efficiency.
  Modern sensor technologies now allow many key textile properties to be rapidly and
  accurately measured during manufacturing. When implemented as closed-loop process control
  systems, these sensors enable automatic adjustments to be made that improve quality and
  consistency. Limitations remain in measuring some properties like fiber strength. Ongoing
  research aims to develop new sensors and deploy multi-sensor systems for complete
  characterization of textiles. Further adoption of sensor technologies will be driven by the need
  for increased automation, precision, and speed in high-volume textile production.
  Conclusion. Sensor technologies such as machine vision, spectroscopy, and thermoelectrics
  are now being leveraged to determine and control the physical and chemical properties of textiles
  during manufacturing. By providing real-time, in-line measurement and feedback, these sensors
  improve process control and allow properties to be maintained within tighter tolerances.
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