The evaluation of evenness of nonwovens using image analysis method

Jeong, Sung Hoon; Kim, Si Hwan; Hong, Cheol Jae

doi:10.1007/bf02875331

Fibers Polym

2001

DOI: 10.1007/bf02875331

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The evaluation of evenness of nonwovens using image analysis method

Sung Hoon Jeong

Si Hwan Kim

Cheol Jae Hong

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Cited by 5 publications

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“…Automated imaging has been widely used for the characterization of nonwovens, for example for the determination of evenness 15 or fiber diameter. 16 For weaves and knits, the analysis of fabric porosity is a key application of automated imaging techniques, as porosity greatly affects the thermophysiological properties of the fabric.…”

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confidence: 99%

Image-based analysis of single jersey loop parameters

Pauly

Maier

Dey

et al. 2023

Textile Research Journal

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Quality Control is crucial when it comes to fine and technical knits. Digital Twins are common in product design and are necessary for heat and mass flow simulations of textile fabrics. In both cases primarily, the exact geometry of the knitted loop is necessary for following processes. Wale spacing W and course spacing C are the essential geometrical characteristics of the representative unit cell of single jersey fabrics. The loop parameters can be obtained manually by counting loops per unit length or by microscopic measurements, which both are time consuming and are not applicable in integrated digital processes. Therefore, a new method for automatic extraction of major loop geometry parameters is described. A state-of-the-art method, which analyzes the microscopic images automatically, works with Fourier-Transformation of the image brightness and is used as a benchmark. The new loop-based method extracts the geometrical data from the distances between the center points of the loops. The methods are evaluated on single jersey fabrics of three different yarns. In addition, the impact of magnification on the measurement is shown for one fabric. The new method gives same results as manual measurements and even more precise results as the benchmark method.

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mentioning

confidence: 99%

Image-based analysis of single jersey loop parameters

Pauly

Maier

Dey

et al. 2023

Textile Research Journal

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Correlation of yarn tension with parameters in the knitting process

Koo

2002

Fibers Polym

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Orthotropic theory for the prediction of mechanical performance in thermally point-bonded nonwovens

Kim

2004

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The evaluation of evenness of nonwovens using image analysis method

Cited by 5 publications

References 2 publications

Image-based analysis of single jersey loop parameters

Image-based analysis of single jersey loop parameters

Correlation of yarn tension with parameters in the knitting process

Orthotropic theory for the prediction of mechanical performance in thermally point-bonded nonwovens

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