CN102901731A - Fiber orientation distribution measurement method for non-woven fabric - Google Patents
Fiber orientation distribution measurement method for non-woven fabric Download PDFInfo
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- CN102901731A CN102901731A CN2012104308756A CN201210430875A CN102901731A CN 102901731 A CN102901731 A CN 102901731A CN 2012104308756 A CN2012104308756 A CN 2012104308756A CN 201210430875 A CN201210430875 A CN 201210430875A CN 102901731 A CN102901731 A CN 102901731A
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Abstract
The invention relates to a fiber orientation distribution measurement method for non-woven fabric, which belongs to the field of novel textile testing. The non-woven fabric is of a fiber assembly which is directly constituted by fiber, so that the physical and mechanical properties of the non-woven fabric are closely linked with fiber orientation in the non-woven fabric, and the mechanical anisotropy of the non-woven fabric particularly has a direct relation with the fiber orientation. A traditional anisotropic method based on mechanical properties, a laser method, a microscopic method and other methods for measuring the fiber orientation are established under certain assumed conditions and are not direct and objective enough. The invention provides the fiber orientation distribution measurement method based on an image analysis technology. The fiber orientation distribution measurement method comprises the following steps of: firstly collecting a surface fiber image of the non-woven fabric, performing filtration and threshold processing on the surface fiber image, then transforming a scanning electron micrograph of the nano-fiber non-woven fabric to a frequency domain through Fourier transformation, then making statistics of intensities of frequency signals at all angles in a frequency spectrum, and finally getting a measurement result of fiber orientation distribution by accumulating the frequency signals within a certain angle range.
Description
Technical field
The present invention relates to a kind of non-manufacturing measuring fiber distribution of orientations measuring method, it belongs to the novel textile material detection field, is specifically related to image acquisition, processing and time-frequency converter technique.
Background technology
In recent years, the nonwoven techniques development is very fast, and the range of application of non-weaving cloth is also more and more extensive.Non-weaving cloth is the fiber assembly that directly is made of fiber, so the orientation of fiber has close contacting in the physical and mechanical properties of non-weaving cloth and the non-weaving cloth, and especially each orientation to the sexual desire fiber of the mechanics of non-weaving cloth has direct relation.Traditional all is to be based upon under certain assumed condition based on the methods such as Mechanical Property Anisotropy method, laser method, microcosmic method measurement fiber orientation, not directly with objective.
For this reason, the present invention proposes a kind of measuring method based on fiber orientation distribution in the non-weaving cloth of image analysis technology.At first gather non-weaving cloth surface fiber image, and it is carried out filtering and threshold process, then by Fourier transform the scanning electron microscope (SEM) photograph of nano-fiber for production of non-woven is transformed to frequency domain, then in frequency spectrum, add up the intensity of all angles upper frequency signal, can pass through the cumulative of the interior frequency signal of certain angle scope at last, obtain the measurement result of fiber orientation distribution.The specific implementation step of the fiber orientation distribution measuring method of the non-weaving cloth that the present invention proposes as shown in Figure 1.
Summary of the invention
The purpose of this invention is to provide a kind of non-manufacturing measuring fiber distribution of orientations measuring method, utilize image processing techniques that the non-weaving cloth surface image is analyzed, measure its surface fiber distribution of orientations result, be convenient to the judgement that the experimenter carries out the non-weaving cloth physical and mechanical properties.
The technical solution used in the present invention is as follows:
(1) utilize videomicroscopy to gather the non-weaving cloth surface image, require the image enlargement ratio more than 100 times, fiber is clear and legible in the image;
(2) the non-weaving cloth image is carried out filtering and threshold process, obtain its bianry image;
(3) bianry image is carried out Fourier transform, obtain spectrogram;
(4) by the frequency intensity on each direction in the angle statistics frequency spectrum;
(5) carry out frequency by the certain angle scope and merge, obtain the fiber orientation distribution table of non-weaving cloth, finish fiber orientation distribution and measure.
Description of drawings
Fig. 1 nonwoven fibric fibre orientation distribution measuring performing step
Fig. 2 non-weaving cloth surface image
Fig. 3 non-weaving cloth surface bianry image
The amplitude spectrum of Fig. 4 non-weaving cloth
Fig. 5 carries out the frequency statistics synoptic diagram by angle
Fig. 6 frequency statistics result
Fig. 7 nonwoven fibric fibre orientation measurement result
Embodiment
The measurement result of non-weaving cloth distribution of orientations can be used for judging intuitively the anisotropic properties of physical and mechanical properties, especially its mechanics of non-weaving cloth.The method of processing by image realizes that the measuring method of fiber orientation distribution is direct, objective and effective.
The invention provides a kind of measuring method of fiber orientation distribution of non-weaving cloth, the specific implementation step as shown in Figure 1.The below provides an embodiment, and Fig. 2 is the non-weaving cloth surface image that utilizes videomicroscopy to collect, and the enlargement ratio of image is 100 times.
Non-weaving cloth surface image shown in Figure 2 is carried out 5 * 5 mean filters process, then utilize the method for cluster analysis to finish its threshold process, its result as shown in Figure 3.
Non-weaving cloth bianry image shown in Figure 3 is carried out Fourier transform, and in frequency domain, shown in Figure 4 is exactly its amplitude spectrum with image transitions.
The frequency spectrum of nano-fiber for production of non-woven is carried out by the cumulative statistics of angle, the basic skills of statistics as shown in Figure 5, statistics is as shown in Figure 6.
Carry out angle by certain limit the frequency statistics result is merged, obtain the fiber orientation distribution measurement result, merge by 15 ° of scopes in this example, the result who obtains finishes the fiber orientation distribution of non-weaving cloth and measures as shown in Figure 7 to this.
Claims (4)
1. a nonwoven fibric fibre orientation distribution measurement method is characterized in that: utilize the method for image processing that the distribution of orientations of non-weaving cloth is measured.
2. image is processed according to claim 1, it is characterized in that: utilize the equipment such as video fiberscope to gather the surface image of non-weaving cloth, require the image enlargement ratio more than 100 times, fiber is clear and legible in the non-weaving cloth image.
3. fiber degree of orientation distribution measurement method according to claim 1, it is characterized in that: the non-weaving cloth image is carried out filtering and threshold process, obtain bianry image, image is carried out Fourier transform, be transformed in the frequency domain, in frequency domain, carry out the measurement that nonwoven fibric fibre orientation distributes.
4. fiber degree of orientation distribution measurement method according to claim 1 is characterized in that: in frequency spectrum, by angle statistical frequency signal intensity, merge according to the certain angle scope again, obtain nonwoven fibric fibre orientation and distribute, finish distribution of orientations and measure.
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Cited By (2)
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CN107622487A (en) * | 2017-09-18 | 2018-01-23 | 天津工业大学 | A kind of textile material fiber-wall-element model degree measuring method based on Short Time Fourier Transform |
CN109632857A (en) * | 2019-01-17 | 2019-04-16 | 深圳市银宝山新科技股份有限公司 | The test method of long fiber reinforced thermoplastic composites fiber orientation |
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CN101241082A (en) * | 2008-03-14 | 2008-08-13 | 东华大学 | Nonwoven fibric fibre orientation distribution measuring systems and method |
CN101806583A (en) * | 2010-03-04 | 2010-08-18 | 上海大学 | Microscopic image-based fiber fineness measurement method |
CN102288607A (en) * | 2011-06-20 | 2011-12-21 | 江南大学 | Woven fabric count detector based on digital microscope |
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CN101241082A (en) * | 2008-03-14 | 2008-08-13 | 东华大学 | Nonwoven fibric fibre orientation distribution measuring systems and method |
CN101806583A (en) * | 2010-03-04 | 2010-08-18 | 上海大学 | Microscopic image-based fiber fineness measurement method |
CN102288607A (en) * | 2011-06-20 | 2011-12-21 | 江南大学 | Woven fabric count detector based on digital microscope |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107622487A (en) * | 2017-09-18 | 2018-01-23 | 天津工业大学 | A kind of textile material fiber-wall-element model degree measuring method based on Short Time Fourier Transform |
CN107622487B (en) * | 2017-09-18 | 2020-09-22 | 天津工业大学 | Textile material fiber orientation degree measuring method based on short-time Fourier transform |
CN109632857A (en) * | 2019-01-17 | 2019-04-16 | 深圳市银宝山新科技股份有限公司 | The test method of long fiber reinforced thermoplastic composites fiber orientation |
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