The Application of Intelligent Laser Sensor on Yarn Quality Inspection

Yun Ying Wang; Qi Lan Huang; Gong Yuan Yang

doi:10.4028/www.scientific.net/AMR.298.35

Paper Titles

The Factors Influencing the Band Gap Bowing of III Nitride Alloys
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Application of the Intelligent Sensor in Yarn Quality Online Detection
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Dielectric Relaxation Properties in Colossal Dielectric Constant Material Sr_0.9Ba_0.1Ti_0.9Ru_0.1O₃
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The Transition from Normal Ferroelectric to Relaxor Ferroelectric and Evidences of Polar Nanoregions Combination in Sr_1-xPb_xTiO₃
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The Application of Intelligent Laser Sensor on Yarn Quality Inspection
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A Novel Long-Life Air Working Electro-Active Actuator Based on Cellulose and Polyurethane Blend
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Study on the Characterization and Bending Performance of Electro-Active Actuator Based on Cellulose and Poly(3-Hydroxybutyrate)
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Study on Structure Properties of Pyridine Ionic Liquids of Different Acid-Based Chain Lengths
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Novel DNA Electrochemical Biosensor Using Anthraquinone-2-Sulfonic Acid Sodium Salt as Hybridization Indicator
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 298The Application of Intelligent Laser Sensor on...

The Application of Intelligent Laser Sensor on Yarn Quality Inspection

Abstract:

In order to improve the modernization of textile production, single off-line testing will miss a lot of information of work-field. It is necessary to improve the yarn quality testing methods to make it more perfect. So the production will grow toward the rapid, high yield, high-quality. In this study, only a sensor that is Intelligent laser sensor is used to finish the yarn quality on line testing. Experimental device is easy to install and carry. It can print images and data at all times. The accurate information of equipment state and yarn can be got from the experimental curve and the trend figure, which improved the inspection efficiency and accuracy of yarn quality.

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Periodical:

Advanced Materials Research (Volume 298)

Pages:

35-39

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.298.35

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Online since:

July 2011

Authors:

Yun Ying Wang, Qi Lan Huang, Gong Yuan Yang

Keywords:

Laser Sensor, Online Detection, Programmable Logic Controller (PLC), Yarn Quality

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References

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