CN108664724A - A kind of yarn modeling method based on function - Google Patents
A kind of yarn modeling method based on function Download PDFInfo
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- CN108664724A CN108664724A CN201810436753.5A CN201810436753A CN108664724A CN 108664724 A CN108664724 A CN 108664724A CN 201810436753 A CN201810436753 A CN 201810436753A CN 108664724 A CN108664724 A CN 108664724A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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Abstract
The yarn modeling method based on function that the invention discloses a kind of, belongs to cloth modeling field.Yarn is amplified 100 times by the present invention under high magnification microscope, observes directly the microstructure of yarn；In addition observation obtains the width and height of essential attribute (ellipse, round, the convex-concave mirror image) and yarn cross section of yarn cross section；It constructs very close to model in kind.Gained model can be further used for the simulation study of yarn, fabric.
Description
Technical field
The yarn modeling method based on function that the present invention relates to a kind of, belongs to cloth modeling field.
Background technology
With the development of life and production, people require fabric in addition to certain comfort, and there also to have to be certain special
Effectiveness, such as fabric is with warming moisture-inhibiting or with the efficiency of three proofings；Or with special appearance efficiency；By to fabric
Carrying out final finishing can have the effect of certain, but finishing agent has body and certain stimulate and do not meet green production
Concept.So it is desired to achieve the effect that flame may be used.
In addition, when study fabric gas permeability and thermal protective performance when, need study air-flow fabric flow performance,
And the thermal convection current between air-flow and yarn, the mode of appearance for considering yarn is needed, different appearance forrns can be to air-flow in yarn
Certain influence is generated respectively on line.By to Yarn Simulating simulation can be qualitative and quantitative research gas permeability and heat conduction
Amount, but it is part and parcel during simulation calculation to model, general modeling can spend entire simulation process more than half when
Between.The quality of yarn model will be directly concerning emulation success.
Existing modeling method is broadly divided into artificial process and Software Method, and artificial process mostly directly simplifies various flames
For round or oval cross section, this mode is easy to operate, but cross-sectional form is relatively simple；Software approach：It can be with
By acquiring the parameter of yarn cross section, the function encoded by software inhouse carries out the cross section that yarn is calculated, such as
TexGen softwares, this method can obtain cross-sectional areas more complicated and close to actual conditions, but if the cross of yarn
Section is combined by several curves, then software just cannot be satisfied requirement.
Invention content
The present invention for existing modeling method can not actual response yarn real features the problem of, one kind is provided and is based on
The yarn modeling method of function.
Yarn modeling method of the present invention based on function, mainly includes the following steps that：
Step 1: sampling method is determined in the regularity of distribution of yarn warp-wise according to yarn cross section, such as：If yarn
Cross section can randomly select yarn cross section upwards through remaining unchanged upwards in yarn axis；If yarn cross section is passing through
Change (such as Fig. 6) upwards, in sampling, it is necessary to the sampling in different positions.
Two, construction is split to obtained complicated cross section, it is relatively more normal resolves into oval, class ellipse and convex-concave mirror image etc.
See and the curve form (such as Fig. 7) of rule need not divide construction if cross section is the elliptic curve form of rule.
Three, it is constructed according to the segmentation of step 2 sample cross, posttectonic different type cross section is divided in statistic of classification
Relative dimensions, such as：It is oval：Major semiaxis and semi-minor axis；Class is oval：The exponential quantity of curve；Convex-concave mirror image：The width of yarn cross section
Degree and length, offset.
Four, the yarn cross section size obtained according to the result of step 2 segmentation construction and step 3, directly applies mechanically curve
Different curve equations are combined by formula (such as formula 1~4), using the parametric modeling of modeling software, to obtain public affairs
The corresponding curve of formula, and punctured the lines of curvilinear inner in the way of cutting out, obtain yarn cross section curve model
(such as Fig. 8).
Elliptic curve：
Class elliptic curve：
Convex-concave mirror curve：
Five, the yarn cross section curve model that step 4 obtains is subjected to stretching or setting-out, obtains the yarn of whole one thread
Line model.It is changed upwards in warp for yarn cross section, after cross-sectional model can be built respectively, stretches spell again respectively
It connects.
Advantageous effect of the present invention：In the method for structure yarn model in the past, circular cross section or one are mostly used greatly
Yarn only has a kind of cross section, is unable to get yarn in the time of day of fabric, the position that can not react different has
The case where different cross section, such as：The flames such as slub.Yarn is amplified 100 times by the present invention under high magnification microscope,
The microstructure of yarn can be observed directly, essential attribute (ellipse, the round, convex-concave of yarn cross section are in addition measured
Mirror image) and yarn cross section width and height, construct very close to model in kind.Gained model can be further used for
The simulation study of yarn, fabric.
Description of the drawings
Yarn is in the cross section of super depth of field fibrescope yarn under working in Fig. 1 embodiments 1.
The separation construction method of yarn cross section in Fig. 2 embodiments 1.
The measurement method of yarn cross sectional dimensions in Fig. 3 embodiments 1.
In Fig. 4 embodiments 1 (a)：The curve of yarn cross section each section after singulated, (b)：Yarn cross section curvilinear mold
Type.
Yarn model in Fig. 5 embodiments 1.
Fig. 6 yarn cross sections are through upward changed yarn.
Segmentation building methods of the Fig. 7 to complicated yarn cross section.
Fig. 8 (a)：The curve of yarn cross section each section after singulated, (b)：Yarn cross section curve model.
Specific implementation mode
Of the invention for ease of understanding, it is as follows that the present invention enumerates embodiment.Those skilled in the art are it will be clearly understood that the implementation
Example is only to aid in the understanding present invention, should not be regarded as a specific limitation of the invention.
Embodiment 1
One, according to different yarn types, the sampling method of yarn is determined.
The slice for making yarn cross section first, does not have according to the cross section for observing to obtain yarn early period in the axial direction of yarn
It changes, it is possible to yarn cross section is randomly selected on yarn.
Two, construction is split to obtained complicated cross section, resolve into oval and class ellipse etc. other it is relatively common and
The curve form of rule.
For example, observing that the cross section of yarn is that approximation as shown in Figure 1 is petal using microscopes such as the super depth of field, then may be used
With by picture breakdown be three elliptical shapes (such as Fig. 2).
Three, according to the decomposed form in step 2 sample rank street face, the width of the different type cross section after statistic of classification decomposition
The relative dimensions of degree and height, such as：It is oval：Major semiaxis and semi-minor axis；Class is oval：The exponential quantity of curve；Convex-concave mirror image：Yarn
The width and length in section, offset.Cross sectional dimensions is as shown in 1 data of Fig. 3 and table.
Table 1 carries out obtained image the scales such as height and the width of decomposition and each divisional plane of determining yarn
| Yarn | a | b | c | d | e | f |
| 0.188 | 0.201 | 0.222 | 0.1801 | 0.170 | 0.160 |
Four, the cross sectional dimensions that the yarn cross section partitioning construction result and step 3 obtained according to step 2 obtains, directly
It connects and is combined using corresponding ellipse formula (formula 1), using the parametric modeling of modeling software, obtain each of exploded cross-sectional
The curve (Fig. 4-a) of a part, and punctured intersection in the way of cutting out, it obtains transversal as shown in Fig. 4 (b)
Surface curve model.
Five, the cross-section curve model that step 4 obtains is subjected to stretching or setting-out, obtains the yarn module of whole one thread
Type, such as Fig. 5.From fig. 5, it can be seen that the cross section when yarn is the irregular figure made of several curve combinations, the present invention
The method of the structure yarn model of offer can be constructed very close to model in kind.Gained model can be further used for
The simulation study of yarn, fabric.
Although the present invention has been described by way of example and in terms of the preferred embodiments, it is not limited to the present invention, any to be familiar with this skill
The people of art can do various change and modification, therefore the protection model of the present invention without departing from the spirit and scope of the present invention
Enclosing be subject to what claims were defined.
Claims (6)
1. a kind of yarn modeling method based on function, which is characterized in that mainly include the following steps that：
Step 1: determining sampling method in the regularity of distribution of yarn warp-wise according to yarn cross section；
Step 2: being split construction to obtained complicated cross section；If cross section is the curve form of rule, do not need
Segmentation construction；
Step 3: being constructed according to the segmentation of step 2 sample cross, posttectonic different type cross section is divided in statistic of classification
Size；
Step 4: according to the yarn cross section size that the result of step 2 segmentation construction and step 3 obtain, curve is directly applied mechanically
Different curve equations are combined by formula, using the parametric modeling of modeling software, to obtain the corresponding curve of formula,
And the lines of curvilinear inner are punctured in the way of cutting out, obtain yarn cross section curve model；
Step 5: the yarn cross section curve model that step 4 obtains is carried out stretching or setting-out, the yarn of whole one thread is obtained
Line model.
2. according to the method described in claim 1, it is characterized in that, in step 1, if yarn cross section through keeping upwards
It is constant, yarn cross section is randomly selected upwards in yarn axis.
3. according to the method described in claim 1, it is characterized in that, in step 1, if yarn cross section through occurring upwards
Variation, in sampling, it is necessary to the sampling in different positions.
4. according to any method of claims 1 to 3, which is characterized in that in step 2, to obtained complicated cross section into
Row segmentation construction resolves into the relatively common and regular curve forms such as oval, class ellipse and convex-concave mirror image.
5. according to any method of claims 1 to 3, which is characterized in that in step 2, if cross section is the song of rule
Line form need not then divide construction.
6. method according to claim 1 or 2 or 4, which is characterized in that in step 3, classification measuring and calculating segmentation is posttectonic
The size of different type cross section, wherein for the ellipse that segmentation obtains, measure major semiaxis and semi-minor axis；For dividing
The class arrived is oval, measures the exponential quantity of curve；For the convex-concave mirror image that segmentation obtains, width, length, offset are measured.
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| CN201810436753.5A CN108664724A (en) | 2018-05-09 | 2018-05-09 | A kind of yarn modeling method based on function |
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| CN201810436753.5A CN108664724A (en) | 2018-05-09 | 2018-05-09 | A kind of yarn modeling method based on function |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109800532A (en) * | 2019-01-31 | 2019-05-24 | 西安工程大学 | A kind of three-dimensional simulation method of plain fabric |
Citations (3)
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|---|---|---|---|---|
| CN102831643A (en) * | 2012-09-20 | 2012-12-19 | 山东大学 | Method for establishing colored three-dimensional yarn model by employing Micro-CT |
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN107273622A (en) * | 2017-06-21 | 2017-10-20 | 江阴芗菲服饰有限公司 | Digital yarn emulation mode based on fiber |
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2018
- 2018-05-09 CN CN201810436753.5A patent/CN108664724A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831643A (en) * | 2012-09-20 | 2012-12-19 | 山东大学 | Method for establishing colored three-dimensional yarn model by employing Micro-CT |
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN107273622A (en) * | 2017-06-21 | 2017-10-20 | 江阴芗菲服饰有限公司 | Digital yarn emulation mode based on fiber |
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| Title |
|---|
| SIAVASH AFRASHTEH 等: "Geometrical parameters of yarn cross-section in plain woven fabric", 《FIBRE & TEXTILE RESEARCH》 * |
| 刘莹莹: "斜纹织物的几何结构研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109800532A (en) * | 2019-01-31 | 2019-05-24 | 西安工程大学 | A kind of three-dimensional simulation method of plain fabric |
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