An Electronic Instrument for Measuring the Hairiness of Jute Yarn

Ghosh, Suchismita; Das, Debasish; Battacharya, G. K.; Jain, Atul; Sil, N K; Mukhopadhyay, Banibrata

doi:10.1080/00405008808659170

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…Although this method has the advantages of simplicity in operation, manual counting and measuring could be laborious, time consuming and lower efficient (Goswami, 1969; Barella & Viaplana, 1970;Ghosh et al, 1988). …”

Section: Microscopic Visualization Methodsmentioning

confidence: 99%

“…The image of yarns after amplification can be projected onto a screen, and then the number of protruding, looped and floating hairiness per unit length could be counted and measured manually. Although this method has the advantages of simplicity in operation, manual counting and measuring could be laborious, time consuming and lower efficient (Goswami, 1969;Barella & Viaplana, 1970;Ghosh et al, 1988).…”

Section: Microscopic Visualization Methodsmentioning

confidence: 99%

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A Review of Yarn Appearance Evaluation Based on Image Analysis Technology

Fang

Xin

Liu

2013

Research Journal of Textile and Apparel

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This paper presents an overview of the yarn appearance evaluation methods based on image processing technology in recent years. A comparison of these new digital solutions and the traditional yarn appearance evaluation methods is made in detail with an introduction of the related systems, algorithms and principles. The future development of yarn appearance evaluation is also analyzed. Yarn hairiness, as the key parameter of yarn appearance, is the focus of evaluating yarn appearance. The reported methods can be classified into traditional test methods and digital image methods. The former include four main methods (weighting, electrostatic, microscopic counting, and photoelectric measurement methods). Both the advantages and disadvantages of the traditional test methods and digital image methods have been summarized and discussed in this paper. The aim of this work is to provide a good reference platform for researchers to provide knowledge on the history of the measurement methods of yarn appearance and utilize these methods to evaluate yarn appearance.

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Section: Microscopic Visualization Methodsmentioning

confidence: 99%

Section: Microscopic Visualization Methodsmentioning

confidence: 99%

A Review of Yarn Appearance Evaluation Based on Image Analysis Technology

Fang

Xin

Liu

2013

Research Journal of Textile and Apparel

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“…Hairiness is a crucial parameter evaluating the status of protruding fiber ends, loops and wild fiber out of yarn bodies, and is one of the important yarn surface characteristics. 1,2 Since the 1950s, several methods [3][4][5][6][7][8] and instruments [9][10][11][12][13][14][15][16][17][18] have been developed to characterize yarn hairiness, notably the Uster Tester, Uster Zweigle hairiness tester, SDL hairiness tester, Lawson Hemphill tester, Keisokki Laserspot tester, amongst others; in addition, the most novel solutions for yarn hairiness measurement were mainly based on digital image processing and signal processing. 19,20 Notwithstanding this, only two methods were universally accepted and commercially utilized in textile industries and institutions: (a) an array of sensors measures the length of fiber ends protruding out of the yarn core; and (b) the amount of light scattered by the protruding fibers is used to calculate a hairiness index value for the yarn.…”

mentioning

confidence: 99%

A relative hairiness index for evaluating the securities of fiber ends in staple yarns and its application

Huang

Tao

Yin

et al. 2021

Textile Research Journal

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Hairiness is a prominent property of staple yarns, but the existing evaluation parameters mainly describe the fiber ends already protruding out of yarn bodies. The potential fiber ends in yarns also play a crucial role in the performance of yarns in the subsequent processes and the resultant fabric quality. In our previous studies, maximum hairiness and its theoretical model have been proposed, which indicate the maximum fiber ends of a staple yarn having the potential to protrude out of yarn bodies and become hairy. On this basis, the relative hairiness index (RHI) is developed in this study to evaluate the fiber end tucking and securities of yarns. This index is treated as a ratio of the measured hairiness of sample yarns and the maximum hairiness of ring yarns in the same twist level and yarn count. A lower RHI indicates more fiber ends being tucked into yarn bodies, and a slower increment of the RHI with the increasing winding times represents more stable securities of fiber ends in yarns. The experimental results demonstrate that the RHI can directly reveal the effectiveness of different spinning parameters and methods in tucking and securing fiber ends; also, the changes of the RHI with increasing winding times visually present the stableness of fiber ends in various yarns experiencing abrasion, as well as predict the possibility of the potential fiber ends being pulled out to form hairiness during successive processes. The proposed RHI, therefore, provides a significant reference for the spinning process design and yarn quality control.

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“…Few analytical techniques have been reported for measuring fuzz attached to fabrics, although many techniques have been developed to measure fuzz attached to yarns [3,6,7,[9][10][11]. Scanning electron microscopy has been used to characterize fuzz qualitatively on fabrics [5].…”

mentioning

confidence: 99%

Characterizing Fuzz on Fabrics Using Image Analysis

Hsi

Bresee

Annis

2000

Textile Research Journal

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A hardware device and software based on image analysis techniques are developed to detect and describe fuzz on fabric surfaces. Thin optical slices near the surface of fabrics are imaged with a microscope objective lens and electronic camera. Sharply focused fuzz fibers are detected within each image and described in terms of fuzz density, fuzz height, and fabric-fuzz separation. The hardware device and software techniques are evaluated by visualizing fuzz detection in individual images and by assessing the reasonableness of measured fuzz parameters for fabrics with intuitively known fuzz attributes. The instru ment's usefulness is explored by assessing the influence of the yarn interlacing pattern, mechanical abrasion, and a fuzz-reducing finish on fuzz.

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An Electronic Instrument for Measuring the Hairiness of Jute Yarn

Cited by 8 publications

References 10 publications

A Review of Yarn Appearance Evaluation Based on Image Analysis Technology

A Review of Yarn Appearance Evaluation Based on Image Analysis Technology

A relative hairiness index for evaluating the securities of fiber ends in staple yarns and its application

Characterizing Fuzz on Fabrics Using Image Analysis

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