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Fiber identification method and measurement method for content of fiber constituent in blended fabric

A technology for fiber identification and blended fabrics, which is applied in measuring devices, analysis materials, instruments, etc., can solve the problems of only random sampling, damage to the fiber products to be tested, and inability to meet efficient and fast detection, and achieve accurate and reliable measurement results

Inactive Publication Date: 2012-06-27
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, these detection methods have the following deficiencies: the way of sampling in vitro detection will cause a certain degree of damage to the fiber products to be tested; Objective quantitative identification indicators are not easy to be widely used outside the laboratory; the detection efficiency is not high, so it can only be randomly selected, and large-scale detection cannot be realized
Infrared detection and imaging image pattern recognition can achieve quantitative extraction and judgment of fiber features to a certain extent, but the detection process generally requires preparatory steps such as slicing the sample, so it is still difficult to get out of the laboratory and meet high-level requirements. Application requirements for flux detection
In summary, the current textile fiber detection technology can not meet the technical requirements of efficient and rapid detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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  • Fiber identification method and measurement method for content of fiber constituent in blended fabric
  • Fiber identification method and measurement method for content of fiber constituent in blended fabric
  • Fiber identification method and measurement method for content of fiber constituent in blended fabric

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Samples: Two unknown fiber samples from a certain manufacturer. In order to exclude the interference of color, the samples were all white.

[0052] Identification steps:

[0053] (1) Measure the rotational linear polarization of two unknown fiber samples respectively, and obtain the LDP(θ i , θ s ) formula, and parameters A, B, C, etc. are obtained at the same time.

[0054] (2) Extract the values ​​of A and B to obtain a new parameter α=A / B, and perform histogram statistics on the parameter α to obtain characteristic curves of two unknown fibers to be compared.

[0055] (3) Compare the measured characteristic curves of the two unknown fibers with various standard characteristic curves in the standard library one by one, and obtain the correlation coefficient r between the curves respectively, and the results are shown in Table 1.

[0056] Table 1 Correlation coefficient between tested sample and standard sample

[0057] Correlation coefficient r

co...

Embodiment 2

[0063] Sample: A white blended sample, two types of blended fibers are known.

[0064] Identification steps:

[0065] (1) Perform rotational linear polarization measurement on unknown blended fiber samples, and fit to obtain LDP(θ i , θ s ) formula, and parameters A, B, C, etc. are obtained at the same time.

[0066] (2) Extract the value combination of A and B to obtain a new parameter α=A / B, and make histogram statistics on the parameter α to obtain the α characteristic curve of the blended fiber.

[0067] (3) Select the α characteristic curves of the two fibers in the standard database as the fiber components for simulating blending.

[0068] (4) Take a set of weight values ​​for linear superposition to obtain a blended simulation α characteristic curve. Wherein, the weight value is obtained by taking an initial weight value set (such as 0.01 / 0.99), and changing it with a certain step size (such as 0.01) until the upper limit of the ratio (such as 0.99 / 0.01).

[0069] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Abstract

The invention discloses a fiber identification method and a method for measuring the fiber content in mixture fabric, wherein, the fiber identification method comprises the following steps: firstly, a rotating linear polarization detection method is used for imaging various standard fiber samples and carrying out data processing so as to extract characteristic parameters Alpha of the standard fiber samples, standard characteristic curves for the characteristic parameters Alpha of the various standard fiber samples are drawn, and the various standard characteristic curves are stored into a standard library; secondly, the rotating linear polarization detection method is used for imaging a fiber sample to be tested and carrying out data processing so as to extract a characteristic parameter of the fiber to be tested, and a characteristic curve to be compared for the characteristic parameter of the fiber to be tested is drawn; thirdly, the characteristic curve to be compared is compared with the various standard characteristic curves in the standard library, to determine whether the characteristic curve to be compared is the same as any of the standard characteristic curves, if so, the fiber sample to be tested is the same as the corresponding fiber of the standard characteristic curve. The method is characterized by speediness, accuracy and intactness.

Description

technical field [0001] The invention relates to a method for identifying fibers, and also relates to a method for measuring fiber content in blended fabrics. Background technique [0002] With the rapid development of the textile industry and the improvement of the market's quality requirements for textile products, efficient and fast non-destructive testing of textiles has become an urgent technical demand. Among them, the detection of the composition and content of textile fibers is a basic textile quality testing item. Therefore, high-efficiency and rapid fiber detection technology is the technical development trend in the field of textile fiber detection. [0003] In the field of textile fiber testing, there are many methods and approaches for the identification of fiber components and the measurement of content. The methods in the traditional national standards include combustion test method, solubility test method, coloring identification method, microscope observation...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/00G01N21/21
Inventor 曾楠高强马辉何永红
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV