CN103644844A - Method for determining unknown parameters of rubber product with skeleton reinforced layer - Google Patents
Method for determining unknown parameters of rubber product with skeleton reinforced layer Download PDFInfo
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- CN103644844A CN103644844A CN201310707316.XA CN201310707316A CN103644844A CN 103644844 A CN103644844 A CN 103644844A CN 201310707316 A CN201310707316 A CN 201310707316A CN 103644844 A CN103644844 A CN 103644844A
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Abstract
The invention discloses a method for determining unknown parameters of a rubber product with a skeleton reinforced layer and relates to analysis of structural parameters of the rubber product. The method comprises the following steps of A, preparing a sample; B, scanning a section plane of the reinforced layer of the rubber product to be determined, and inputting the scanned image into a computer; C, leading scanned image files of the reinforced layer into AutoCAD software; D, drawing and defining statistic models in the AutoCAD software; E, performing position and quantity simulation superposition on the statistic models and the reinforced layer; F, automatically calculating the model quantity; G, measuring and calculating all the unknown parameters. The method automatically calculating structures and technological parameters of the sample, and is simple, accurate, practical, wide in application range, and capable of reducing the procedure of peeling layer by layer manually, saving labor and reducing labor intensity.
Description
Technical field
The present invention relates to rubber Analysis of Parameters.
Background technology
In development during with the rubber of enhancement layer, dissect and analytic sample structure &processes parameter is absolutely necessary.So just the design concept of sample can better be digested and use for reference, just the goods that performance is higher can be designed.The for example development to the nonstandard high-pressure rubber pipe of heavy caliber, for research and reference basis for design are provided, carries out artificial dissection and measurement layer by layer by unknown parameter sample hose.Because body cross section diameter is larger, internal diameter is Φ 500 ㎜, external diameter Φ 670 ㎜, and internal layer, middle level, skin have 4 layers of wire rope composite strengthening layer, and wire rope density is very high, and every layer has hundreds of root, causes great difficulty to statistics steel wire quantity.Not only to determine every layer of steel wire number of xsect, also will determine the run-length data of the every layer of steel wire in longitudinal cross-section.Its difficulty has 3 points: one, steel wire quantity is large, and complicate statistics is wasted time and energy, and precision is not high, is easy to debugging; Two, owing to causing fusing glue-line to cover in dissection process, block, at steel wire position out of stock, cannot correctly add up; Three, because steel wire and steel wire in dissection process mix, are unified into a slice, be difficult to distinguish the number of share of stock of wire rope, to statistics, bring very large difficulty.
Summary of the invention
The object of the invention is to solve the difficult problem accurately check and examine rubber complexity, various enhancement layer technological parameter.
For achieving the above object, its technical scheme is to design having the assay method of enhancement layer rubber unknown parameter, and its operation steps is as follows:
A. sample preparation: will have enhancement layer rubber vertically, radially or longitudinally, laterally cutting makes section respectively;
B. respectively rubber section plane is scanned: select flat bed scanner to scan the axial section of product and radial section;
C. scan image is inputted computer;
D. scan document image is imported in Auto CAD software: Auto CAD software is opened, in " insertion " toolbar, click " raster image reference " instrument, eject dialog box, click " browsing " button, select the just picture file of scanning, in " convergent-divergent " ratio hurdle, input ratio is 1, enters workspace after clicking " determining ", in workspace, click, scanning document just imports in Auto CAD software;
E. in Auto CAD software, draw and define statistical model: with Auto CAD software, draw an obvious dot of color, the cross-sectional sizes of the diameter of round dot and enhancement layer wire rope or fiber rope is suitable, then dot is defined as to data model;
F. statistical model carries out position with enhancement layer in scan image and Population number dynamic imitation overlaps: dot data model is copied automatically by steel wire quantity and position in scan image, after copying, finely tune again, make dot completely simulate and overlap with wire rope;
G. automatic statistical model quantity: the dot frame choosing that will add up will automatically show the namely quantity of this enhancement layer wire rope or fiber rope of dot quantity in " characteristic instrument " hurdle of Auto CAD software;
H. the measurement of various unknown parameters and calculating:
(1) measurement of winding pipe product parameter and calculating: enhancement layer wire rope radical, steel wire radical/thigh, the number of plies, sebific duct diameter, winding stroke, winding angle, inner glue layer thickness, mesoglea thickness;
(2) measurement of woven tube goods parameter and calculating: enhancement layer steel wire radical, the number of plies, sebific duct internal diameter, external diameter, braided pitch, angle of weave, inner glue layer thickness, mesoglea thickness, steel wire radical/thigh;
(3) measurement of machine alternate product parameter and calculating: enhancement layer wire rope radical, the number of plies, wirerope diameter, wire rope arrangement size;
(4) measurement of tire product parameter and calculating: enhancement layer steel wire radical, the number of plies, steel wire and fiber rope diameter, steel wire and fiber rope arrangement size.
The present invention is that to utilize the specific function of computer software automatically to add up the method for sample enhancement layer process data simple, practical, accurately, has reduced manually successively to cut open stripping operation, save manpower and labour intensity.Not only can be applied in the parametric statistics of rubber, in the parameter mapping statistics of other products, also can apply, apply very wide scope, be worthy to be popularized.
Embodiment
embodiment:the internal diameter Φ 500 ㎜ heavy-caliber high-pressure rubber hoses of take are example, describe concrete operation method of the present invention and step in detail:
A. sample preparation: by the large-bore hose that has a wire rope enhancement layer vertically, radially cutting makes section respectively;
B. the large-bore hose section plane scanning of respectively wish being measured: select flat bed scanner to scan the axial section of product and radial section;
C. scan image is inputted computer: the enhancement layer scan image input computer that large-bore hose is dissected;
D. enhancement layer scan document image is imported in Auto CAD software: Auto CAD software is opened, in " insertion " toolbar, click " raster image reference " instrument, eject dialog box, click " browsing " button, select the just picture file of scanning, in " convergent-divergent " ratio hurdle, input ratio is 1, enters workspace after clicking " determining ", in workspace, click, scanning document just imports in Auto CAD software;
E. in Auto CAD software, draw and define statistical model: with Auto CAD software, draw an obvious dot of color, the cross-sectional sizes of the diameter of round dot and enhancement layer wire rope is suitable, then dot is defined as to data model;
F. statistical model carries out position with enhancement layer in scan image and Population number dynamic imitation overlaps: dot data model is copied automatically by steel wire quantity and position in scan image, after copying, finely tune again, make dot completely simulate and overlap with wire rope, in the place that steel wire is damaged, can also revise and error correction according to constant spacing;
G. automatic statistical model quantity: the dot frame choosing that will add up will automatically show the namely quantity of this enhancement layer wire rope of dot quantity in " characteristic instrument " hurdle of Auto CAD software;
H. the measurement of various unknown parameters and calculating: each layer of steel radial rope quantity statistics out after, again by dot and the complete matching of axial cross section, axial dot quantity and the dot quantity of respective layer are radially consistent, after matching, measure by the automatic marking function of Auto CAD software the distance of arranging of axial steel wire rope quantity, this distance is exactly the winding stroke T of this layer of wire rope again; The data that are wound around stroke T and enhancement layer pipe diameter D just can calculate angle of weave by formula.
Angle of weave computing formula:
Record each parameter of sebific duct as following table:
Claims (1)
1. the assay method pair with skeleton enhancement layer rubber unknown parameter, is characterized in that described method carries out as follows:
A. sample preparation: will have enhancement layer rubber vertically, radially or longitudinally, laterally cutting makes section respectively;
B. respectively rubber section plane is scanned: select flat bed scanner to scan the axial section of product and radial section;
C. scan image is inputted computer;
D. enhancement layer scan document image is imported in Auto CAD software: Auto CAD software is opened, in " insertion " toolbar, click " raster image reference " instrument, eject dialog box, click " browsing " button, select the just picture file of scanning, in " convergent-divergent " ratio hurdle, input ratio is 1, enters workspace after clicking " determining ", in workspace, click, scanning document just imports in Auto CAD software;
E. in Auto CAD software, draw and define statistical model: with Auto CAD software, draw an obvious dot of color, the cross-sectional sizes of the diameter of round dot and enhancement layer wire rope or fiber rope is suitable, then dot is defined as to data model;
F. statistical model carries out position with enhancement layer in scan image and Population number dynamic imitation overlaps: dot data model is copied automatically by steel wire quantity and position in scan image, after copying, finely tune again, make dot completely simulate and overlap with wire rope;
G. automatic statistical model quantity: the dot frame choosing that will add up will automatically show the namely quantity of this enhancement layer wire rope or fiber rope of dot quantity in " characteristic instrument " hurdle of Auto CAD software;
H. the measurement of various unknown parameters and calculating:
(1) measurement of winding pipe product parameter and calculating: enhancement layer wire rope radical, steel wire radical/thigh, the number of plies, sebific duct diameter, winding stroke, winding angle, inner glue layer thickness, mesoglea thickness;
(2) measurement of woven tube goods parameter and calculating: enhancement layer steel wire radical, the number of plies, sebific duct internal diameter, external diameter, braided pitch, angle of weave, inner glue layer thickness, mesoglea thickness, steel wire radical/thigh;
(3) measurement of machine alternate product parameter and calculating: enhancement layer wire rope radical, the number of plies, wirerope diameter, wire rope arrangement size;
(4) measurement of tire product parameter and calculating: enhancement layer steel wire radical, the number of plies, steel wire and fiber rope diameter, steel wire and fiber rope arrangement size.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310707316.XA CN103644844B (en) | 2013-12-20 | 2013-12-20 | To the assay method having skeleton enhancement layer rubber unknown parameter |
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| CN201310707316.XA CN103644844B (en) | 2013-12-20 | 2013-12-20 | To the assay method having skeleton enhancement layer rubber unknown parameter |
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| CN103644844A true CN103644844A (en) | 2014-03-19 |
| CN103644844B CN103644844B (en) | 2016-01-20 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115923181A (en) * | 2023-01-05 | 2023-04-07 | 合肥工业大学 | Method and system for measuring winding track precision of composite material shell |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005050027A (en) * | 2003-07-31 | 2005-02-24 | Toshiba Corp | Flow analysis system and flow analysis method |
| CN101699450A (en) * | 2009-10-27 | 2010-04-28 | 北京交通大学 | Seamless turnout structural system on bridge and dynamic analysis method thereof |
| CN102184289A (en) * | 2011-05-06 | 2011-09-14 | 大连船舶重工集团装备制造有限公司 | Method for carrying out stress analysis on first-class nuclear reactors through using ANSYS software |
| CN102819632A (en) * | 2012-07-26 | 2012-12-12 | 苏州工业园区设计研究院股份有限公司 | Method for modeling multi-scale finite element model of node of steel framework structure |
-
2013
- 2013-12-20 CN CN201310707316.XA patent/CN103644844B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005050027A (en) * | 2003-07-31 | 2005-02-24 | Toshiba Corp | Flow analysis system and flow analysis method |
| CN101699450A (en) * | 2009-10-27 | 2010-04-28 | 北京交通大学 | Seamless turnout structural system on bridge and dynamic analysis method thereof |
| CN102184289A (en) * | 2011-05-06 | 2011-09-14 | 大连船舶重工集团装备制造有限公司 | Method for carrying out stress analysis on first-class nuclear reactors through using ANSYS software |
| CN102819632A (en) * | 2012-07-26 | 2012-12-12 | 苏州工业园区设计研究院股份有限公司 | Method for modeling multi-scale finite element model of node of steel framework structure |
Non-Patent Citations (1)
| Title |
|---|
| 张明武: "钢丝缠绕胶管结构等行程设计法", 《橡胶工业》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115923181A (en) * | 2023-01-05 | 2023-04-07 | 合肥工业大学 | Method and system for measuring winding track precision of composite material shell |
| CN115923181B (en) * | 2023-01-05 | 2024-05-07 | 合肥工业大学 | Method and system for measuring winding track precision of composite shell |
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Inventor after: Yin Yongsheng Inventor after: Hao Yijie Inventor after: Chen Weishan Inventor after: Chen Xiaowei Inventor before: Yin Yongsheng Inventor before: Hao Yijie Inventor before: Chen Xiaowei |
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Address after: 110021 Liaoning, Shenyang District, Shun Hing Street, No. 9, Tiexi Applicant after: Co., Ltd of shenyang rubber studying and designing institute Address before: 110021 Liaoning, Shenyang District, Shun Hing Street, No. 9, Tiexi Applicant before: Shenyang Rubber Research & Design Institute of China National Tire & Rubber Corporation |
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