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Keywords: textile manufacturing, sensor technologies, machine vision, spectroscopy,
process control
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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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