Design and Realization of a new kind of the yarn online detecting instrument

Huang, Qilan; Weigang, Qin; Yang, Guang-Hong

doi:10.1109/iccasm.2010.5619060

Cited by 2 publications

(2 citation statements)

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“…Pure cotton yarn of 60 tex online tests as shown in Fig. 2 [1] . Device has a friendly interface, the operator simply select the type of yarn and enter the specifications of the data records available online, print images and data.the curve can be collected online display sliver, roving and spinning information, generate graphs.…”

Section: Test Resultsmentioning

confidence: 99%

“…When the sensor between the transmitter and the receiver does not gauze, the display shows the measured object (ie, gauze) in diameter 0.000mm; When measured object diameter of 28.000mm, the entire beam is interception, the controller's display shows the diameter of 28.000mm, linear output is 5.00V. Sensor controller can be set by using the 4 ~ 20mA current output signal [1] .…”

Section: Composition Of the Instrumentmentioning

confidence: 99%

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Application of the Intelligent Sensor in Yarn Quality Online Detection

Huang

Qin

Yang

2011

AMR

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This paper introduces application of the intelligent sensor in the yarn quality online detection. Using computer control techniques,Adopting the high accuracy intelligent laser sensor to detect the yarn diameter, display and print out the real-time evenness of the yarn by analyzing the yarn sampled datas. The device is more portable, forward-looking, intelligent and low cost, It is the development direction of the yarn quality testing in cotton factory.

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Section: Test Resultsmentioning

confidence: 99%

Section: Composition Of the Instrumentmentioning

confidence: 99%

Application of the Intelligent Sensor in Yarn Quality Online Detection

Huang

Qin

Yang

2011

AMR

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Online Evaluation of Textile Yarn Evenness Using Fast Exposure Imaging and Image Processing Techniques

Haleem,

Bustreo,

Del Bue

2023

2023 7th International Conference on Automation, Control and Robots (ICACR)

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Evenness is regarded as the most important attribute of textile yarn quality as irregular yarns reduce efficiency of spinning process and deteriorate quality of resultant fabrics. In traditional yarn spinning process, evenness is tested offline using laboratory scale testers through sampling from a whole lot of yarns. The lag associated with this approach limits agility in responding to a variety of process variations whereas limited sampling restricts achieving fine grained yarn quality insights. These factors together result in limited control on yarn spinning process and eventually compromise quality of the yarn produced.We aim to address this problem by developing a new yarn evenness testing system, which can be deployed on an individual spinning position to evaluate yarn quality in an online manner. The proposed system, which is based on a combination of fast exposure imaging and image processing techniques, was first validated using a control set of yarn specimens and later tested in normal yarn production through comparison with an existing offline yarn evenness tester. The results demonstrate promising potential of the proposed system for wider application in yarn spinning industry.

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Design and Realization of a new kind of the yarn online detecting instrument

Cited by 2 publications

References 0 publications

Application of the Intelligent Sensor in Yarn Quality Online Detection

Application of the Intelligent Sensor in Yarn Quality Online Detection

Online Evaluation of Textile Yarn Evenness Using Fast Exposure Imaging and Image Processing Techniques

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