JP2001123355A - Weaving process - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a weaving technique that can readily produce woven fabric having a desired visual characteristics or giving uneven feeling. SOLUTION: In a weaving loom 1 relating to this invention, the first weft 9 is shot by a first main nozzle 7 and the second weft 10 is shot by a second main nozzle 8 every time the actuation of a weft shooter, then warp yarn 3 and the first and second weft yarns 9, 10 are woven one another by a yarn- guiding reed 6 to form the objective woven fabric 12. In this case, the shooting numbers of individual wefts 9, 10 in the weft-shooting operation are varied according to the fractal dimension whereby woven fabrics having visual characteristics or showing an uneven feeling can be readily produced.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for weaving a woven fabric in which warps and wefts are woven.

[0002]

2. Description of the Related Art A plurality of (many) warps extending substantially parallel to each other in a substantially horizontal plane are locally pulled up, while the remaining warps are locally pulled down to form an upper warp. A warp opening is formed between the warp and the lower warp, a weft is inserted into the warp opening, and the warp and the weft are interwoven with the warp by pressing the weft against the weave. Conventionally, weaving methods for weaving woven fabrics have been known.

[0003] In such a conventional weaving method, usually, one kind of weft is used and the arrangement density of the wefts (hereinafter, referred to as "weft density") or the arrangement interval of the wefts (hereinafter, referred to as "weft interval"). Weaving is performed with a constant
A woven fabric exhibiting uniform visual characteristics will be woven. In addition, if a fabric that exhibits uneven visual characteristics or unevenness is required, weave multiple types of wefts of different colors or materials regularly or randomly and weave at a constant weft density or weft spacing. Or by randomly changing the weft density or weft spacing,
Non-uniform visual characteristics or unevenness are expressed. That is, in such a conventional weaving method, 1
It is possible to choose between weaving a woven fabric exhibiting uniform visual characteristics using different types of wefts, or weaving a woven fabric exhibiting non-uniform visual characteristics or unevenness using a plurality of types of wefts.

[0004]

However, in practice, the visual characteristics or unevenness of the fabric are various (there are many types of unevenness), so that a plurality of types of fabrics having different colors, materials, etc. are simply used. The above-mentioned conventional weaving method using a weft or simply setting the weft density or the weft interval to random has a problem that a fabric having desired characteristic visual characteristics or unevenness cannot be woven. That is, the visual characteristics or unevenness of the fabric is extremely complicated caused based on the complex visual sensation of human beings, and the simple method as described above makes it possible to reduce the difference in various visual characteristics or unevenness. It is impossible to consciously adjust or control this quantitatively.

In the conventional weaving method, when two or more kinds of wefts having different colors, materials, etc. are used, the number of these wefts is made the same, or is changed regularly (periodically), or simply. Since it is only changed at random, it is impossible to quantitatively distinguish various characteristic visual characteristics or differences in unevenness and consciously adjust or control them.

Further, in the conventional weaving method, since the weft density or the weft interval is usually constant, when weft insertion using wefts having different thicknesses, the weft interval is increased around a thin weft. There is. There is also a problem that it is impossible to insert a weft having a thickness greater than the weft interval. Therefore, in this case, the number of weft insertions of wefts must be set regularly (or periodically) (or at random).

The present invention has been made to solve the above-mentioned conventional problems, and can quantitatively distinguish and control various characteristic visual characteristics or differences in unevenness. An object of the present invention is to provide a weaving method capable of easily weaving a woven fabric exhibiting various desired characteristic visual characteristics or unevenness.

[0008]

According to the weaving method according to the present invention which has been made to solve the above-mentioned problems, a part of a plurality of warps and a remaining warp are separated from each other (up and down by two). ), The weft is inserted into the warp opening formed in the direction intersecting (substantially perpendicular to) the warp elongation direction (implantation), and the weft is crossed with the warp and pressed against the cloth fell (strike). A weaving method in which a warp and a weft are woven into a woven fabric by repeating the method, wherein a weft arrangement density (weft density) or an arrangement interval (weft interval) is systematically changed according to a fractal dimension. It is characterized by having done.

In this weaving method, the number of wefts inserted per unit length during each wefting operation (for example,
The number per 2.54cm (so-called "1 inch")
Is preferably systematically changed according to the fractal dimension, so that the weft density or the weft interval is systematically changed according to the fractal dimension.

In this weaving method, for example, the number of wefts inserted in each wefting operation is systematically changed according to the fractal dimension, and the weft density or the weft interval of the woven fabric is systematically changed according to the fractal dimension. Can be On the other hand, various characteristic visual characteristics or unevenness of the fabric can be quantitatively expressed in the fractal dimension, so by preferably setting the fractal dimension,
The difference in various characteristic visual characteristics or unevenness can be quantitatively distinguished and consciously adjusted or controlled. Therefore, a woven fabric having various desired characteristic visual characteristics or unevenness can be easily woven.
Further, even when wefting is performed using wefts having different thicknesses, problems such as an increase in weft spacing around a thin weft and an inability to insert a thick weft do not occur.

In the above weaving method, a plurality of kinds of wefts having different materials (colors, materials, etc.) or shapes (thickness, surface shape, cross-sectional shape, etc.) or both are used, and the weft is inserted at each wefting operation. The number of various wefts may be systematically changed according to the fractal dimension. In this way, it is possible to more precisely adjust or control the difference between various characteristic visual characteristics or unevenness,
More various characteristic visual characteristics or unevenness can be expressed.

In the above weaving method, the weft density or the weft interval of the sample fabric having characteristic visual characteristics or unevenness is measured to determine its fractal dimension, and the weft density or the weft interval is systematically determined based on the fractal dimension. Alternatively, it may be changed. In this case, a sample fabric having characteristic visual characteristics or unevenness can be easily reproduced.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the present invention will be specifically described below. FIG. 1 is a perspective view showing a schematic configuration of a loom for weaving a woven fabric using the weaving method according to the present invention. FIG.
As shown, in the loom 1, the warp third plurality drawn from the beam 17 (number) is fed forward (X ₁ direction) by the delivery device 2 (feeding motion). These warps 3, in turn, forward generally via the first heddles 4 second heald 5 and reed 6 and (lead) (X ₁ direction)
After that, the first main nozzle 7 and the second main nozzle 8 cross the first weft 9 and the second weft 10. Then, both wefts 9 and 10 are put on the cloth fell 1 by the reed 6.
1, the warp yarn 3 and the two weft yarns 9 and 10 are woven together to form a woven fabric 12. The woven fabric 12 is wound up by a winding device 13 (winding motion).

Here, the first heald 4 and the second heald 5
Performs an opening motion at a predetermined timing. That is, at a predetermined timing, the first heald 4 is moved from the neutral position upward (Z ₁ direction), the second heald 5 is moved from the neutral position to the lower (Z ₂ direction). Thereby, many warp yarns 3
Some of them (for example, half of the warp picked up every other yarn) are locally pulled up, the rest of the warp 3 is locally pulled down, and the warp 3 is divided into upper and lower two layers. Thus, a warp opening is formed between the upper layer side warp 3 and the lower layer side warp 3.

The first main nozzle 7 and the second main nozzle 8 arranged at substantially the same position as the reed 6 when viewed in the front-rear direction (X ₁ -X ₂ direction) include a first weft 9 and a second weft 1, respectively.
Perform a zero weft insertion exercise. That is, the first yarn-supplied cheese 15
Is introduced into the first main nozzle 7 via the first yarn guide 16 and the beam 17. On the other hand, the second weft 10 set on the second yarn feeding cheese 18 is introduced into the second main nozzle 8 via the second yarn guide 19 and the beam 17. Here, the first weft 9 and the second weft 10 are different from each other in type, for example, material (color, material, etc.) or shape (thickness, surface shape, cross-sectional shape, etc.) or both.

When the warp openings are formed, the two main nozzles 7 and 8 separate the two wefts 9 and 10 respectively.
Is stretched in the warp elongation direction (X
₁ -X ₂ direction) is emitted in a direction substantially perpendicular (Y ₁ -Y ₂ direction), both weft 9 and 10 to fly through the warp opening. Here, the air jet is generated by pressurized air supplied to the main nozzles 7 and 8 via the pressurized air supply pipe 20, the mist separator 21, and the pressurized air distribution pipe 22. Each of the main nozzles 7 and 8 has an arbitrary number of wefts 9 within a predetermined range (for example, 1 to 10).
10 can be injected. The pressure of the pressurized air is controlled by a pressure regulating valve 23 provided in the pressurized air distribution pipe 22.
Is adjusted or controlled by the

Thus, the two wefts 9 and 10 are interlaced with the warp 3 in a form corresponding to the structure of the fabric 12 to be woven. That is, the upper-layer warp 3 is located above the both wefts 9 and 10, and the lower-layer warp 3 is located below both the wefts 9 and 10.

As shown in FIG. 2, a first yarn guide 25 and a first drum pool 2
6, the first weft 9 is introduced into the first main nozzle 7 via the second main nozzle 7 via the second yarn guide 27 and the second drum pool 28 from the second yarn feeding cheese 18. After the second weft 10 is introduced, the two wefts 9 and 10 ejected from the main nozzles 7 and 8 are provided on the reed wings 29 of the reed 6 (deformed lead) (integrally formed). ) It may be made to fly through the tunnel groove 30 (weft insertion).

The reed 6 performs weft beating motion to reciprocate in the longitudinal direction (X ₁ -X ₂ direction). That is, the reed 6 closes the warp 3 when it moves forward after both the wefts 9 and 10 intersect with the warp 3, and presses (hits) the both wefts 9 and 10 at a predetermined pitch onto the cloth fell 11. By repeating such an operation, a woven fabric 12 in which the warp 3 and the both wefts 9 and 10 are woven is completed. The woven fabric 12 is wound up by a winding device 13, and the warp yarn 3 is sent out from the sending device 2 accordingly.

In this weaving method, the weft density or the weft interval is different in material (color, material, etc.) or shape (thickness, surface shape, cross-sectional shape, etc.) or both.
It is preferably set by systematically changing the number of wefts to be driven during each wefting (driving) operation of the kind of wefts 9 and 10 according to the fractal dimension.
That is, the weft density (weft interval) of the fabric 12 is systematically changed according to the fractal dimension. In general, various characteristic visual characteristics or unevenness of the woven fabric can be quantitatively expressed by the fractal dimension. According to this weaving method, by setting the fractal dimension preferably, various characteristic features are obtained. Differences in visual characteristics or unevenness can be quantitatively distinguished and consciously adjusted or controlled. Accordingly, the fabric 12 having various desired characteristic visual characteristics or unevenness can be easily woven.

As described above, in this weaving method, in order to weave the woven fabric 12 exhibiting a characteristic visual characteristic or unevenness, the number of driving of the both wefts 9 and 10 is set using the fractal dimension. The fractal dimension will be described below. In other words, according to fractal theory, self-similarity (strictly speaking, statistical self-similarity) is applied to shapes and phenomena that were conventionally considered complex and random and have no periodicity such as repeating units. By doing so, the complexity of such a shape or phenomenon can be quantified and reproduced in a fractal dimension.

Specifically, first, a fractal dimension D (real number) indicating the degree of complexity of a shape or a phenomenon is defined as 1 <
Determined within the range of D <2. Note that, as the fractal dimension D, a fractal dimension obtained by measuring the yarn interval of a sample fabric (a sample fabric) in which the intervals between the warps or the wefts are characteristically changed in a complicated manner may be used. Further, the fractal dimension D may be theoretically or empirically determined so as to obtain a desired complexity while considering that the larger the numerical value, the greater the complexity.

Then, based on the fractal dimension D determined in this way, a fractal variation is created by calculation.
To this fractal variation, a systematic array based on the fractal dimension D of the weft density (weft spacing) or the number of wefts is created by linearly converting and applying the variation array of the weft density (weft spacing) or the number of wefts driven. can do. The woven fabric 12 in which the yarn spacing between the wefts 9 and 10 is set as described above exhibits a characteristic visual characteristic or unevenness. In addition, two types (three or more types) of weft 9,
Since 10 is used to change the number of each weft driving based on the fractal dimension D,
The difference in various characteristic visual characteristics or unevenness can be adjusted or controlled very precisely, and various characteristic visual characteristics or unevenness can be expressed.

Hereinafter, a method of weaving the woven fabric 12 exhibiting characteristic visual characteristics or complicated unevenness will be described more specifically. First, a method for measuring the fractal dimension D of the sample fabric will be described. A fractal is a generic term for figures, structures, phenomena, etc. that do not have a characteristic length (meaning the length, size, or weight associated with a geometric shape, such as a radius or height). It is. Further, a figure having no characteristic length has self-similarity.
The self-similarity is a graphic property such that when a part of a figure under consideration is enlarged or reduced, a shape similar to the whole (or a larger part) appears. The fractal dimension D indicates the degree of such self-similarity, and is used as a measure of the complexity of a shape or a phenomenon (for example, in 1986)
A book published by Asakura Shoten on March 25, "Fractal (Hideki Takayasu)").

(A) Measurement of Yarn Spacing and Calculation of Fractal Dimension In order to represent the variation (change) in the yarn spacing or gap distance of the warp or weft of the sample fabric in the fractal dimension, the position of the warp or weft of the sample fabric is determined. Measure and calculate the fractal dimension using a computer. Specifically, for example, the following method is used. (A-1) A method of reading a sample fabric with a scanner or a digital camera, decomposing the sample fabric into warps or wefts only by image processing, and measuring a yarn interval or a gap distance. (A-2) A method in which a sample fabric is scanned with a laser beam in a direction perpendicular to the yarn interval to be read, and the light receiving element receives transmitted light on the opposite side, thereby measuring the yarn interval or the gap distance. .

(B) Method of calculating fractal dimension A method for calculating the fractal dimension of the yarn interval or the distance of the gap from the obtained measurement data includes, for example, the following method (for example, April 1986) Month 25
A book published by Asakura Shoten on the day "Fractal (Hideki Takayasu), a book published on October 25, 1987 by Asakura Shoten" Fractal Science (Hideki Takayasu) ").

(B-1) Method Based on Coarse-Graining Degree With respect to the obtained measurement data, a line graph is drawn by taking the values of the measurement data on the vertical axis and the numbers of the measurement data on the horizontal axis. This line graph has a complicated shape with irregularities. The plane including the line graph is decomposed into a square with one side r by a lattice with an interval r. Then, the number of squares including the original data is set to N (r). Thus,
When the value of r is variously changed, D satisfying the following equation 1
Is the fractal dimension. N (r) ∝ r ^-D …………………………………… Formula 1

(B-2) Method of Determining from Correlation Function For the line graph created in the above item (B-1), integration of a two-body correlation function represented by the following expression 2 (which will be corrected later) C (r) is given by the following equation 3 with respect to r:
When there is a dependency as shown by the following, let the index v be a fractal dimension. C (r) = 1 / N ² ΣH (r− {Xi−Xj}) Formula 2 C (r) to r ^V ……………………………. ... Equation 3 In Equation 2, H is a Heaviside function, and z ≧
If 0, H (z) = 1, and if z <0, H (z)
(Z) = 0. {Xi-Xj} is the distance between the vector Xi and the vector Xj.

(B-3) Method for obtaining from the spectrum A spectrum analysis is performed on the line graph created in the item (B-1) to check a fractal dimension. The fact that a certain variation is fractal means that changing the cutoff frequency does not change the shape of the spectrum. This is synonymous with the fact that the shape of the spectrum is invariant to the transformation f → λf that changes the scale of observation.
Spectrum with such properties (power spectrum)
S (f) is limited to a power type represented by the following Expression 4. S (f) ∝f ^{− β} …………………………………………………………… Formula 4 The fractal dimension D at this time is given by the following formula 5. B = 5-2D (1 <D <2)... ...... Equation 5

(C) Creation of Variation in Weft Density or Number of Driven Wefts Using Fractal Dimension The fractal dimension D of the sample fabric is obtained by each of the above methods, or a desired fractal dimension D (real number: 0 <D)
Set <2). Using this fractal dimension D, a graph of the systematic variation of the weft density (weft spacing) or the number of wefts driven is created, and using this graph, the weft density (weft spacing) or the number of wefts driven is as follows. (For example, a book “Fractal Image, Theory and Programming (H.C.) published by Springer Verlag Tokyo on August 20, 1990).
O. Pitogen / D. See Saupe, edited by Masaya Yamaguchi).

The basic mathematical concept in this data generation method is as follows. That is, the fractional Brownian motion V _H (t) is one of the variables t
_{H of} V _H (t) defined by the following equation (6)
The change ΔV with respect to t (= t ₂ −t ₁ ) is defined by a scaling rule expressed by the following equation (7). ΔV = V _H (t ₂ ) −V _H (t ₁ ) ·················· Equation 6 ΔV∝ △ t ^H ··························· Expression 7 Thus, the fractal dimension D is given by Expression 8 below. D = 2-H... ............................................................ Equation 8

Based on such a mathematical idea, a computer calculates a variation curve of the fractal dimension D by programming a calculation algorithm of a category described below. Thereby, the variation of the weft density (weft interval) or the number of wefts driven by the fractal dimension D can be generated according to any of the following algorithms. The fractal dimension D is shown in FIGS.
Is varied in the range of 1.2 to 1.9, a specific example of a variation pattern of the weft density (weft interval) is shown. FIGS. 9 to 14 show the fractal dimension D of 1.2 to 1.9.
A specific example of a variation pattern of the number of wefts driven when variously changed within the range of 1.9 is shown.

(C-1) First Algorithm This is a method in which an approximate value of fractal fluctuation of a certain accuracy is used as input data, and the accuracy of the approximation is increased by a certain magnification every time according to a predetermined algorithm. The process of using the output as an input is repeated until the desired accuracy is obtained.
Such a procedure is sometimes formulated as an autoregressive process. The “middle point displacement method”, “sequential random addition method”, and “interpolation point displacement method” are typical examples of the first algorithm.

(C-2) Second Algorithm This is a method of creating fractal fluctuation from the viewpoint of spectrum. This algorithm utilizes the fact that the shape of the spectrum is the same even when the frequency range to be observed is changed.
"Fourier filtering" is a typical example of this second algorithm.

(C-3) Third Algorithm This is a method of creating a fractal variation by iterative calculation. The “random cut method”, “random midpoint displacement method” and “independent jump”
Is a typical example of the algorithm.

(C-4) Fourth Algorithm This is a method based on the Cantor set, which is not a method of creating a change in the fractal dimension D based on random numbers as in the first to third algorithms. This is a method of creating variation by a geometrical method. That is, the start point of a line segment having a certain length is set to 0, and the end point is set to 1. This line segment is a solid line existing in the (0, 1) section. Then, first, the line segment existing in the middle (1/3, 2/3) section is deleted. Next, the two line segments existing in the remaining (0, 1/3) section and (2/3, 1) section are respectively represented by 3
Divide equally, and in the middle (1/9, 2/9) section and (7 /
(9, 8/9) The line segment existing in the section is deleted. further,
The remaining line segments are divided into three equal parts, and the middle part is deleted. Thereafter, when the same operation is repeated, a point or a line segment remains. It is known that the fractal dimension D becomes 0.6309. Then, a variation can be obtained in accordance with the pattern in the (0, 1) section. In this way, various variation curves can be obtained based on the fractal dimension D. Thus, these are converted into the weft density or the number of each type of weft to be driven so as to correspond to the fractal dimension D, and used for actual weaving.

[0037]

Embodiments of the present invention will be described below. As the weft, two kinds of yarns of 100% cotton spun yarn (hereinafter referred to as "cotton yarn") and 100% polyester spun yarn (hereinafter referred to as "polyester yarn") were used. When driving both wefts alternately (weft insertion), the driving number of cotton yarns was kept constant, while the driving number of polyester yarns was set by a variation curve made in fractal dimension D.

The fractal dimension D was set in the range of 1.2 to 1.9 by using the algorithm of the "sequential random addition method", and a weft density (weft interval) variation pattern was created. 3 to 8 are graphs showing the variation patterns of the weft density (weft interval) obtained in this manner.

Based on the fluctuation pattern of the weft density (weft interval) obtained in this way, the maximum value and the minimum value of the number of polyester yarns to be driven were set to the following values. Maximum value: 10 lines Minimum value: 1 line As apparent from FIGS. 3 to 8, the weft density (weft interval).
Is largest when the fractal dimension D is 1.9. In this case, the number of drivings corresponding to the maximum value of the fluctuation of the weft density (weft interval) was set to 10, and the number of drivings corresponding to the minimum value of the fluctuation was set to 1. The same conversion was performed for other fractal dimensions D.

FIGS. 9 to 14 are graphs showing the variation patterns of the number of driving of the polyester yarns obtained by such conversion. As is clear from FIGS.
When the range of the number of polyester yarns to be driven is set to 1 to 10, when the fractal dimension D is small, the characteristics of the woven fabric are hardly exhibited. However, even in such a case, if the range of the driving number of the polyester yarns is increased, the characteristics are sufficiently exhibited.

Thus, weaving was actually performed based on the variation pattern of the number of wefts driven obtained by setting (selecting) the fractal dimension D to 1.7. FIG. 15 shows a plan view of the woven fabric thus woven. As is clear from FIG. 15, a characteristic visual characteristic or unevenness appears. In FIG. 15, the black portion is a portion mainly formed of cotton yarn, and the white portion is a portion mainly formed of polyester yarn.

As described above, according to the weaving method of the present invention,
By preferably setting the fractal dimension, it is possible to quantitatively distinguish various characteristic visual characteristics or differences in unevenness and consciously adjust or control this,
Fabrics with various desired characteristic visual characteristics or unevenness can be easily woven.

[Brief description of the drawings]

FIG. 1 is a perspective view of a loom using a weaving method according to the present invention.

FIG. 2 is a perspective view showing a modified example of a weft driving mechanism used in the loom shown in FIG.

FIG. 3 is a graph showing a variation pattern of weft density (weft interval) when a fractal dimension D is set to 1.2.

FIG. 4 is a graph showing a variation pattern of a weft density (weft interval) when a fractal dimension D is set to 1.5.

FIG. 5 is a graph showing a variation pattern of a weft density (weft interval) when a fractal dimension D is set to 1.6.

FIG. 6 is a graph showing a variation pattern of a weft density (weft interval) when a fractal dimension D is set to 1.7.

FIG. 7 is a graph showing a variation pattern of a weft density (weft interval) when a fractal dimension D is set to 1.8.

FIG. 8 is a graph showing a variation pattern of weft density (weft interval) when a fractal dimension D is set to 1.9.

FIG. 9 is a graph showing a variation pattern of the number of wefts driven when the fractal dimension D is set to 1.2.

FIG. 10 is a graph showing a variation pattern of the number of wefts driven when a fractal dimension D is set to 1.5.

FIG. 11 is a graph showing a variation pattern of the number of wefts driven when the fractal dimension D is set to 1.6.

FIG. 12 is a graph showing a variation pattern of the number of wefts driven when the fractal dimension D is set to 1.7.

FIG. 13 is a graph showing a variation pattern of the number of wefts driven when the fractal dimension D is set to 1.8.

FIG. 14 is a graph showing a variation pattern of the number of wefts driven when the fractal dimension D is set to 1.9.

FIG. 15 is a view showing a fiber shape of a woven fabric woven by the weaving method according to the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Loom, 2 ... Sending device, 3 ... Warp, 4 ... 1st heald,
5 ... second heald, 6 ... reed, 7 ... first main nozzle, 8 ...
2nd main nozzle, 9 ... 1st weft, 10 ... 2nd weft, 1
DESCRIPTION OF SYMBOLS 1 ... Woven cloth, 12 ... Woven fabric, 13 ... Winding device, 15 ... First yarn feeding cheese, 16 ... First yarn guide, 17 ... Beam, 1
8 ... second feeding cheese, 19 ... second yarn guide, 20 ...
Pressurized air supply pipe, 21 mist separator, 22 pressurized air distribution pipe, 23 pressure regulating valve, 25 first yarn guide, 26 first drum pool, 27 second yarn guide, 28 second Drum pool, 29: reed feathers, 30: tunnel groove.

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[Procedure amendment]

[Submission date] November 17, 1999 (1999.11.
17)

[Procedure amendment 1]

[Document name to be amended] Statement

[Correction target item name] 0015

[Correction method] Change

[Correction contents]

The first main nozzle 7 and the second main nozzle 8 arranged at substantially the same position as the reed 6 when viewed in the front-rear direction (X ₁ -X ₂ direction) include a first weft 9 and a second weft 1, respectively.
Perform a zero weft insertion exercise. That is, the first yarn-supplied cheese 15
Is introduced into the first main nozzle 7 via the first yarn guide 16. On the other hand, the second
The second weft 10 set on the yarn feeding cheese 18 is introduced into the second main nozzle 8 via the second yarn guide 19. Here, the first weft 9 and the second weft 10 are different from each other in type, for example, material (color, material, etc.) or shape (thickness, surface shape, cross-sectional shape, etc.) or both.

Continued on the front page (72) Inventor Shinobu Kabuya 9-13, Otocho, Anjo-shi, Aichi Prefecture Kurashiki Spinning Co., Ltd. Anjo Plant (72) Inventor Koji Akiyama 1005 Hojo, Hojo City, Ehime Prefecture Kurashiki Spinning Co., Ltd. (72) Inventor Yoshinori Fujio 2-4-1 Kutaro-cho, Chuo-ku, Osaka-shi, Osaka Kurashiki Spinning Co., Ltd. Osaka head office F-term (reference) 4L048 BA01 BC00 CA00 CA15 EA01 4L050 AA15 AA30 AB06 AB09 CB64 CB82 CB84 ED12 ED34 EE05

Claims (6)

[Claims] 1. A weft is inserted into a warp opening formed by separating a part of the plurality of warps and the remaining warp from each other in a direction intersecting with the warp elongation direction, and the weft is inserted. A weaving method in which the warp and the weft are woven into a woven fabric by repeating an operation of pressing against the weave while interlacing with the warp, wherein the arrangement density of the weft is systematically determined by a fractal dimension. A weaving method characterized in that the weaving method is changed. 2. The arrangement density of the weft yarns is systematically changed according to the fractal dimension by systematically changing the number of wefts inserted per unit length during each wefting operation according to the fractal dimension. The weaving method according to claim 1, wherein: 3. The method according to claim 2, wherein a plurality of types of wefts having different materials are used, and the number of the various wefts inserted in each wefting operation is systematically changed according to a fractal dimension. Weaving method. 4. The method according to claim 2, wherein a plurality of types of wefts having different shapes are used, and the number of the various types of wefts inserted at each wefting operation is systematically changed according to a fractal dimension. Weaving method 5. The weaving method according to claim 4, wherein the shape is the thickness of a weft. 6. The arrangement density of the wefts of the sample fabric is measured to determine a fractal dimension of the arrangement density, and the arrangement density of the wefts is systematically changed according to the fractal dimension. The weaving method according to any one of claims 1 to 5.