CN108595763A - Die assembly design method based on model index technology - Google Patents
Die assembly design method based on model index technology Download PDFInfo
- Publication number
- CN108595763A CN108595763A CN201810253179.XA CN201810253179A CN108595763A CN 108595763 A CN108595763 A CN 108595763A CN 201810253179 A CN201810253179 A CN 201810253179A CN 108595763 A CN108595763 A CN 108595763A
- Authority
- CN
- China
- Prior art keywords
- model
- die assembly
- product
- target product
- default
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of die assembly design methods based on model index technology, including:Model treatment is carried out to target product threedimensional model, obtain profile point cloud, the geometric characteristic vector of target product model is calculated, and according to the product category information of target product, nearest neighbor method is used to carry out matching retrieval to obtain the highest die assembly example of similarity in default example library module;According to the contour structures parameter of target product and corresponding process program, calculating is made inferences according to the design rule for presetting knowledge base setting, obtains mould parts critical feature size numerical value;According to die assembly example information, corresponding die assembly is called from default parts library, and mould parts critical feature size numeric data will be obtained in reasoning and calculation and be correspondingly assigned to each part, completes the parametrization update and assembly of part model.Die assembly design method proposed by the present invention based on model index technology, improves quality of die design and efficiency.
Description
Technical field
The present invention relates to mold design technical field more particularly to a kind of die assembly designs based on model index technology
Method.
Background technology
Material forming techniques are the important manufactures of many metals and non-metal workpiece, are widely used in modern manufacturing ring
Section.Different parts need to produce with matching die using corresponding technique, such as the extrusion die of axial workpiece and proximate matter, glass
The blowing etc. of glass bottle.It is divided according to the function of mould parts, mold is divided into master mold and auxiliary mould, and master mold refers to directly joining
With the mould parts of formed product, remaining mould parts is known as auxiliary mould, and different classes of auxiliary mould constitutes set of molds
Part.Existing market dog-eat-dog and requirement constantly rapidly puts out a new product, accordingly bears to the sizable design of designer.
Traditional design method is to carry out design iterations under related CAD software platform, its main feature is that quality of die design is depended on unduly
The experience of designer, the design cycle is long, and the duplication of labour is more, has been difficult to adapt to the demand of Vehicles Collected from Market quick response.Given this
The shape feature of class product and corresponding mold often have the characteristics that geometry topological structure is similar, it is necessary to use new hand
Section completes design and the manufacture work of such component die with design method.
Beijing Non-Ferrous Metal Research General Academy Cheng Lei discloses a kind of efficient type in Chinese invention patent CN103810306A
Material Extrusion Die Design method, this method carry out case retrieval by input product characteristic information, in expert knowledge library, obtain just
Beginning die design schemes obtain optimal technological design side by carrying out numerical simulation and corresponding optimization to initial scheme
Case improves the design efficiency and quality of profile extrusion die.The product feature of the invention is by input product content of text
Information is identified and carries out case retrieval, should since content of text cannot give full expression to the geometric characteristic of product
The limitation of method is big.
Invention content
The main purpose of the present invention is to provide a kind of die assembly design methods based on model index technology, it is intended to carry
High quality of die design and efficiency.
To achieve the above object, the present invention provides a kind of die assembly design method based on model index technology, including
Following steps:
Model treatment is carried out to target product threedimensional model, after obtaining profile point cloud, target product model is calculated
Geometric characteristic vector, and according to the product category information of target product, nearest neighbor method is used in default example library module
Matching retrieval is carried out to obtain the highest die assembly example of similarity;
According to the contour structures parameter of target product and corresponding process program, according to the design rule for presetting knowledge base setting
Calculating is then made inferences, corresponding mould parts critical feature size numerical value is obtained;
According to most like die assembly example information, corresponding die assembly is called from default parts library, and will push away
Reason is calculated mould parts critical feature size numeric data and is correspondingly assigned to each part, completes the parameter of part model
Change update and assembly, the output of complete design result.
Preferably, model treatment is carried out to target product threedimensional model, it is soft in three Dimensional CAD Design when obtaining profile point cloud
In the modeling module of part, the longitudinal cross-section feature of model is first created, the contour curve of product is acquired, then selects the foreign steamer of product
Wide curve constitutes closing full curve, finally choose the curve by etc. create a cloud in a manner of arc length, profile point cloud is obtained with this.
Preferably, etc. arc length mode creates a cloud and refers to creates point set, point set in a manner of even partition appearance profile curve
Number depend on shape of product feature.
Preferably, the point coordinates that the geometric characteristic vector of target product model passes through acquisition target product profiles point cloud
Information, using polar radius, bending moment algorithm is not calculated.
Preferably, bending moment algorithm does not refer to the shape feature recognition methods based on two-dimentional polar radius square to polar radius, application
Formula be normalized polar radius square calculation formula.
Preferably, retrieval matching refers to applies nearest neighbor method in the default case library of corresponding product classification in default case library
In carry out matching retrieval, Similarity Match Method uses Euclidean distance, and the Euclidean distance value by calculating two models is sentenced
Disconnected geometric similarity, distance is shorter, and similarity is bigger, is with the distance value reckling of target product model in default case library
Most like example.
Preferably, nearest neighbor method is specially:According to the Correlation selection scheme of product selecting module, by target product model
Shape eigenvectors compare one by one with the example in default case library, calculate similarity successively, and the highest example of similarity is made
To solve reference scheme, to complete to retrieve.
Preferably, it presets case library in the form of electronic form file to exist, including product type, name of product, geometric form
Shape feature vector, corresponding die assembly number information.
Preferably, default knowledge base includes mold design knowledge base and mould parts information bank, wherein mold design knowledge
Library exists there are two types of mode, and one kind exists in the form of electronic form file, stores professional standard specification, the warp of each mould parts
Test parameter;Another kind exists with program code in developed system, is theoretical calculation formula;Mould parts information bank is with electronics
Form document form exist, including the relative dimensions parameter name of each auxiliary mould, mount attribute, common dimensions with
And threedimensional model file location information.
Preferably, default parts library includes the three-dimensional parametric modeling file of each auxiliary mould part.
Die assembly design method proposed by the present invention based on model index technology, has the advantages that:
1, it has been remarkably improved the design efficiency of mold, has shortened the design cycle, design cost has been reduced, to reach quick sound
Answer the demand in market.
2, there is a large amount of similar repetition in the System Take die design process of this die assembly design method design to set
Meter and calculate, high degree reduces the mold design workload of designer, designer will have more time and spaces into
Row creative work.
3, so that the design knowledge and experience of enterprise are adequately reused and inherited.
Description of the drawings
Fig. 1 is that the present invention is based on the flow diagrams of the die assembly design method of model index technology;
Fig. 2 is that the present invention is based on the wheels got when the die assembly design method of model index technology is applied to vial
The schematic diagram of exterior feature point cloud.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Referring to Fig.1, a kind of die assembly design method based on model index technology, includes the following steps:
Step S10 carries out model treatment to target product threedimensional model, and after obtaining profile point cloud, target production is calculated
The geometric characteristic vector of product model, and according to the product category information of target product, used in default example library module
Nearest neighbor method carries out matching retrieval to obtain the highest die assembly example of similarity;
Step S20 is set according to the contour structures parameter of target product and corresponding process program according to knowledge base is preset
Design rule make inferences calculating, obtain corresponding mould parts critical feature size numerical value;
Step S30 calls corresponding die assembly according to most like die assembly example information from default parts library,
And mould parts critical feature size numeric data will be obtained in reasoning and calculation and be correspondingly assigned to each part, complete part mould
The parametrization of type updates and assembly, the output of complete design result.
Die assembly design method based on model index technology is suitable for the product based on section feature, i.e. its section is several
What shape feature can embody three-dimensional shape features.
In step S10, model treatment is carried out to target product threedimensional model, when obtaining profile point cloud, in three Dimensional CAD Design
In the modeling module of software, the longitudinal cross-section feature of model is first created, the contour curve of product is acquired, then selects the outer of product
Contour curve constitutes closing full curve, finally choose the curve by etc. create a cloud in a manner of arc length, profile point cloud is obtained with this.
Etc. arc length mode create a cloud and refer to and create point set in a manner of even partition appearance profile curve, the number of point set takes
Certainly in shape of product feature.
The geometric characteristic vector of target product model is answered by the point coordinates information of acquisition target product profiles point cloud
With polar radius, bending moment algorithm is not calculated.
Bending moment algorithm does not refer to that the shape feature recognition methods based on two-dimentional polar radius square, the formula of application are to polar radius
Normalized polar radius square calculation formula.
Wherein, the calculation formula of normalization polar radius square is:
In formula, mnpFor normalized two-dimentional P ranks polar radius square, A is the area in shape contour region, and n is profile point cloud
All the points quantity, riFor the point (x in shape contour point cloudi,yi) and centroid point (xc,ycThe distance between), Δ s is profile point
The adjacent 2 points areas constituted with the centre of form in cloud,For polar radius mean value.
Geometric characteristic vector is made of the polar radius square of the rank of the 2nd rank~6.It is described as V=(mn2,mn3,mn4,
mn5,mn6)。
Retrieval matching refers to be carried out using nearest neighbor method in the default case library of corresponding product classification in default case library
Matching retrieval, Similarity Match Method use Euclidean distance (Euclidean distance), by the Euclidean distance for calculating two models
Value judges geometric similarity, and distance is shorter, and similarity is bigger, minimum with the distance value of target product model in default case library
Person is most like example.
Nearest neighbor method is that a kind of method of case retrieval produces target according to the Correlation selection scheme of product selecting module
Example in the shape eigenvectors and case library of product model compares one by one, calculates similarity successively, by the highest reality of similarity
Example is as reference scheme is solved, to complete to retrieve.
The measuring similarity formula for obtaining Euclidean distance is as follows.
Wherein, X is the geometric characteristic vector of object module, and Y is the geometric characteristic of some model in case library
Vector.
Nearest neighbor method is specially:It is according to the Correlation selection scheme of product selecting module, the shape of target product model is special
Sign vector compares one by one with the example in default case library, calculates similarity successively, using the highest example of similarity as solution
Reference scheme, to complete to retrieve.
Specifically, it presets case library in the form of electronic form file to exist, including product type, name of product, geometric form
Shape feature vector, corresponding die assembly number information.
Default knowledge base includes mold design knowledge base and mould parts information bank, wherein mold design knowledge base has two
Kind mode exists, and one kind exists in the form of electronic form file, stores professional standard specification, the experience ginseng of each mould parts
Number;Another kind exists with program code in developed system, is theoretical calculation formula;Mould parts information bank is with electrical form
Document form exists, including the relative dimensions parameter name of each auxiliary mould, mount attribute, common dimensions and three
Dimension module file location information;
Default parts library includes the three-dimensional parametric modeling file of each auxiliary mould part.
Product category information includes each typonym of product, and wherein product can be special according to relevant purposes, shape
The modes such as sign, manufacture characteristic are classified.
In step S20, using Case-based reasoning technology and rule-based reasoning technology, in conjunction with Analysis of Knowledge Bases Reasoning meter
It calculates, obtains corresponding mould parts critical feature size numerical value in example.
Wherein, Case-based reasoning technology is solved by carrying out new problem using previous successful examples, according to mold
Design and manufacture Main Basiss shape of product feature, it is case similarity to select the shape feature similarity of threedimensional model.
In said program, rule-based reasoning technology uses the production rule indicated in a manner of " if ... then ... ",
And the product design structural parameters and process program of the default knowledge base of combination, input, related die design of part is sentenced
Disconnected and its dimensional values calculating.
The contour structures parameter of target product includes the relative dimensions value of the main geometric properties structure of product, and corresponding
Mould parts structure size value constituting-functions relationship, when the geometric structure diamete value of product changes, corresponding mold
Structure size also changes therewith.
The corresponding process program of target product includes the production method for solving formed product, and different forming methods is matched
Theoretical calculation formula and technological coefficient it is also different.
Be target product below it is vial, in conjunction with being specifically described for NX design softwares.Other embodiment can
Using other design softwares, such as CATIA, Pro/E, SolidWorks etc., need to only carry out corresponding secondary development can incite somebody to action
Die assembly Intelligentized design method of the present invention based on model index technology is seamlessly connected with design software.The system
Including at least two kinds of design languages:(present embodiment uses NX design softwares to the exploitation computer language of design software, corresponding
Programming language is the NX Open for.NET language in NX Open secondary development tools) and low level development computer language (this
Embodiment uses VB.NET language).
The first step:After designer completes master mold design, model is obtained using " section " order in modeling module
Cross section profile in ZY planes;Shape contour of the vial model bottleneck outer contour below as the product is chosen, is made
It is ordered with " connection " to complete;It is ordered by " point set ", a point cloud is created in shape contour in a manner of " etc. arc length ".Fig. 2 is glass
Its profile point cloud chart of bottle product.
Shape contour of the Selection Model bottleneck outer contour below as the product, since bottleneck structure is according to national standard
Or professional standard regulation design, the foundation that structure judges not as geometric characteristic herein.
Second step:Bottle-type corresponding with target glass bottle product, wherein human-computer interaction circle are selected by human-computer interaction interface
Face is made by the user interface editing machine UI Styler of NX secondary development tools.
Third walks:By the search function of model index technology, the point coordinates information of profile point cloud is first obtained, is calculated
The geometric characteristic vector of target product model, is retrieved in default case library using nearest neighbor method, using Euclidean away from
From method for measuring similarity obtain object module and correspond to case library geometry similarity between model, by it by greatly
Small sequence, the highest die assembly example of similarity are retrieval result, and specifying information is shown in the information of human-computer interaction interface
In frame.
The point coordinates information for obtaining profile point cloud is realized by two functions that NX Open are provided, wherein first function is
UFSession.GetUFSession.Ui.SelectByClass, the function of this function are to obtain point cloud;Second function be
UFSession.GetUFSession.Curve.AskPointData, the effect of this function is query point coordinate information.
Example information is stored in Excel electrical forms, and VB.NET programming tools provide the interface being connect with Excel, is led to
The main interoperability procedure set for crossing com component reference Excel realizes the particular content for accessing Excel.
4th step:Formative stage corresponding with master mold is selected by human-computer interaction interface.
5th step:Moulding process corresponding with target glass bottle product is selected by human-computer interaction interface.
6th step:Bottleneck type corresponding with target glass bottle product is selected by human-computer interaction interface.
7th step:Vial parameter declaration by help information and glass mold specification, in human-computer interaction interface
Corresponding with the target glass bottle product parameter of input, i.e. bottle weigh, profusely volume, weight capacity ratio, height below bottleneck, body diameter,
Bottom of bottle recess depths, wall thickness and bottleneck height etc..
8th step:According to the die assembly example information in message box, according to preset the design rule of knowledge base setting into
Row reasoning and calculation obtains corresponding auxiliary mould part critical feature size numerical value.
The professional standard specification of each auxiliary mould part, empirical parameter, are stored in Excel electronic watches in the knowledge base
In lattice file;Theoretical calculation formula and design rule are embodied with VB.NET programming codes.
9th step:By obtaining most like die assembly example information, then corresponding mould is called from default parts library
Have component, the structure size that parameter is correspondingly assigned to each auxiliary mould part will be obtained in reasoning and calculation, finally, realizes zero
The parametrization of part model updates and automatic assembling.
Threedimensional model in default parts library is modeled with parameterized approach, in the modeling module of NX, parametrization
Modeling is modeled in a manner of associated expression by establishing.
Parametrization update is by function:
UFSession.GetUFSession.Modl.EditExp with
UFSession.GetUFSession.Modl.Update is realized.
The effect of first function is to edit the dimensional parameters of threedimensional model;Second function is real-time update model.
Specifically, automatic assembling function is realized by function below:
(1) theSession.Parts.Work.ComponentAssembly.AddComponent functions make accessory model
It is loaded into master mold corresponding position with absolute coordinate assembly method.
(2) UFSession.GetUFSession.Assem.AskParentComponent functions obtain constraint object.
(3) position between componentConstraint.CreatConstraintReference function creations model
Restriction relation completes assembly.
Tenth step:Design result is exported, the die assembly design of glass bottle products is completed.
Die assembly design method proposed by the present invention based on model index technology, has the advantages that:
1, it has been remarkably improved the design efficiency of mold, has shortened the design cycle, design cost has been reduced, to reach quick sound
Answer the demand in market.
2, there is a large amount of similar repetition in the System Take die design process of this die assembly design method design to set
Meter and calculate, high degree reduces the mold design workload of designer, designer will have more time and spaces into
Row creative work.
3, so that the design knowledge and experience of enterprise are adequately reused and inherited.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure transformation made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant technical fields,
Similarly it is included within the scope of the present invention.
Claims (10)
1. a kind of die assembly design method based on model index technology, which is characterized in that include the following steps:
Model treatment is carried out to target product threedimensional model, after obtaining profile point cloud, the geometry of target product model is calculated
Shape eigenvectors, and according to the product category information of target product, carried out using nearest neighbor method in default example library module
Matching retrieval is to obtain the highest die assembly example of similarity;
According to the contour structures parameter of target product and corresponding process program, according to preset the design rule of knowledge base setting into
Row reasoning and calculation obtains corresponding mould parts critical feature size numerical value;
According to most like die assembly example information, corresponding die assembly is called from default parts library, and will be in reasoning meter
Calculation obtains mould parts critical feature size numeric data and is correspondingly assigned to each part, completes the parametrization of part model more
New and assembly, the output of complete design result.
2. the die assembly design method based on model index technology as described in claim 1, which is characterized in that produced to target
Product threedimensional model carries out model treatment, when obtaining profile point cloud, in the modeling module of three Dimensional CAD Design software, first creates mould
The longitudinal cross-section feature of type, acquires the contour curve of product, and the outer profile curve of product is then selected to constitute closing full curve,
Finally choose the curve by etc. create a cloud in a manner of arc length, profile point cloud is obtained with this.
3. the die assembly design method based on model index technology as claimed in claim 2, which is characterized in that etc. arc length side
A formula establishment point cloud refers to creates point set in a manner of even partition appearance profile curve, and the number of point set depends on shape of product spy
Sign.
4. the die assembly design method based on model index technology as described in claim 1, which is characterized in that target product
The geometric characteristic vector of model is by the point coordinates information of acquisition target product profiles point cloud, and using polar radius, bending moment is not calculated
Method is calculated.
5. the die assembly design method based on model index technology as claimed in claim 4, which is characterized in that polar radius is not
Bending moment algorithm refers to the shape feature recognition methods based on two-dimentional polar radius square, and the formula of application is normalized polar radius square
Calculation formula.
6. the die assembly design method based on model index technology as described in claim 1, which is characterized in that retrieval matching
Refer to and carries out matching retrieval, similarity in the default case library of corresponding product classification using nearest neighbor method in default case library
Method of completing the square uses Euclidean distance, and the Euclidean distance value by calculating two models judges geometric similarity, shorter, the phase of distance
It is bigger like spending, with the distance value reckling of target product model it is most like example in default case library.
7. the die assembly design method based on model index technology as described in claim 1, which is characterized in that nearest neighbor method
Specially:According to the Correlation selection scheme of product selecting module, by the shape eigenvectors of target product model and default example
Example in library compares one by one, calculates similarity successively, using the highest example of similarity as reference scheme is solved, to complete to examine
Rope.
8. the die assembly design method based on model index technology as described in claim 1, which is characterized in that default example
Library exists in the form of electronic form file, including product type, name of product, geometric characteristic vector, corresponding set of molds
Part number information.
9. the die assembly design method based on model index technology as described in claim 1, which is characterized in that default knowledge
Library includes mold design knowledge base and mould parts information bank, wherein mold design knowledge base exists there are two types of mode, it is a kind of with
Electronic form file form exists, and stores professional standard specification, the empirical parameter of each mould parts;Another kind is with program code
It is theoretical calculation formula in the presence of in the system developed;Mould parts information bank exists in the form of electronic form file, including each
Relative dimensions parameter name, mount attribute, common dimensions and the threedimensional model file location information of a auxiliary mould.
10. the die assembly design method based on model index technology as in one of claimed in any of claims 1 to 9, special
Sign is that default parts library includes the three-dimensional parametric modeling file of each auxiliary mould part.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810253179.XA CN108595763A (en) | 2018-03-26 | 2018-03-26 | Die assembly design method based on model index technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810253179.XA CN108595763A (en) | 2018-03-26 | 2018-03-26 | Die assembly design method based on model index technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108595763A true CN108595763A (en) | 2018-09-28 |
Family
ID=63624170
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810253179.XA Pending CN108595763A (en) | 2018-03-26 | 2018-03-26 | Die assembly design method based on model index technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108595763A (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110334369A (en) * | 2019-04-02 | 2019-10-15 | 武汉理工大学 | A kind of automotive upholstery designing system |
CN110587867A (en) * | 2019-09-16 | 2019-12-20 | 费斯托气动有限公司 | Sectional compensation design method for valve seat mold |
CN110866317A (en) * | 2019-11-23 | 2020-03-06 | 广东科龙模具有限公司 | Design tool kit reconstruction method based on product historical information and design behavior analysis |
CN110909697A (en) * | 2019-11-28 | 2020-03-24 | 华中科技大学 | Casting three-dimensional feature extraction and similarity measurement method combined with technological parameters |
CN111104717A (en) * | 2019-12-16 | 2020-05-05 | 华中科技大学 | Synchronous design method and system for modular fine granularity of die |
CN111209941A (en) * | 2019-12-30 | 2020-05-29 | 中车工业研究院有限公司 | Product module type identification method and device |
CN111209634A (en) * | 2018-11-20 | 2020-05-29 | 波音公司 | Manufactured part design based on artificial intelligence |
CN111428362A (en) * | 2020-03-24 | 2020-07-17 | 鞍山市和丰耐火材料有限公司 | Die design template of refractory product and method for automatically accounting die cost |
CN111914112A (en) * | 2020-07-07 | 2020-11-10 | 西安交通大学 | Part CAD model reusing method based on point cloud classification network |
CN112001044A (en) * | 2020-07-31 | 2020-11-27 | 宁波浙大联科科技有限公司 | Part CAD model similarity estimation method and system |
CN112036814A (en) * | 2020-08-18 | 2020-12-04 | 苏州加非猫精密制造技术有限公司 | Intelligent production management system and management method based on 3D retrieval technology |
CN112131734A (en) * | 2020-09-18 | 2020-12-25 | 杭州筑峰科技有限公司 | Die matching method and system applied to curtain wall aluminum profile |
CN112163333A (en) * | 2020-09-25 | 2021-01-01 | 华南理工大学 | Process aided design system and application method thereof |
CN112489105A (en) * | 2019-08-24 | 2021-03-12 | 北京地平线机器人技术研发有限公司 | Method and device for acquiring structural parameter representation |
CN112541207A (en) * | 2020-12-04 | 2021-03-23 | 成都数模码科技有限公司 | Man-machine interaction intelligent design method for stamping die |
CN114329798A (en) * | 2022-03-02 | 2022-04-12 | 山东豪迈机械科技股份有限公司 | Method, device, equipment and medium for automatically generating tire mold processing technology digifax |
CN114386200A (en) * | 2022-03-23 | 2022-04-22 | 山东豪迈机械科技股份有限公司 | Engineering drawing generation method and equipment based on parameterized template technology |
CN115577449A (en) * | 2022-10-09 | 2023-01-06 | 广州中誉精密模具有限公司 | Intelligent design method for automobile panel die |
CN116680833A (en) * | 2023-06-07 | 2023-09-01 | 宣城市建林机械有限公司 | Drilling, tapping and milling design image generation system based on big data sharing |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040103121A1 (en) * | 2002-11-25 | 2004-05-27 | General Electric Company | Method, system and computer product for integrating case based reasoning data and failure modes, effects and corrective action data |
CN103325142A (en) * | 2013-05-29 | 2013-09-25 | 南京大学 | Computer three-dimensional model establishing method based on Kinect |
CN103778304A (en) * | 2014-02-25 | 2014-05-07 | 青岛理工大学 | Motor vehicle drive axle design method |
CN103810306A (en) * | 2012-11-07 | 2014-05-21 | 北京有色金属研究总院 | Efficient design method of profile extrusion mould |
CN106599515A (en) * | 2016-12-30 | 2017-04-26 | 武汉理工大学 | Automobile covering part sheet metal forming technology optimizing method based on STL grid feature recognition |
CN106951460A (en) * | 2017-02-24 | 2017-07-14 | 北京宇航系统工程研究所 | A kind of MBD model retrieval methods based on figure matching |
-
2018
- 2018-03-26 CN CN201810253179.XA patent/CN108595763A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040103121A1 (en) * | 2002-11-25 | 2004-05-27 | General Electric Company | Method, system and computer product for integrating case based reasoning data and failure modes, effects and corrective action data |
CN103810306A (en) * | 2012-11-07 | 2014-05-21 | 北京有色金属研究总院 | Efficient design method of profile extrusion mould |
CN103325142A (en) * | 2013-05-29 | 2013-09-25 | 南京大学 | Computer three-dimensional model establishing method based on Kinect |
CN103778304A (en) * | 2014-02-25 | 2014-05-07 | 青岛理工大学 | Motor vehicle drive axle design method |
CN106599515A (en) * | 2016-12-30 | 2017-04-26 | 武汉理工大学 | Automobile covering part sheet metal forming technology optimizing method based on STL grid feature recognition |
CN106951460A (en) * | 2017-02-24 | 2017-07-14 | 北京宇航系统工程研究所 | A kind of MBD model retrieval methods based on figure matching |
Non-Patent Citations (7)
Title |
---|
YUAN GUO等: "A CBR system for injection mould design based on ontology: A case study", 《AUTOMATION IN CONSTRUCTION》 * |
YUXIANG YE等: "3D Sketch-based 3D Model Retrieval with Convolutional Neural Network", 《2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION》 * |
徐士彪等: "基于形状特征的三维模型检索技术综述", 《中国体视学与图像分析》 * |
曹茂永等: "用于模式识别的极半径不变矩", 《计算机学报》 * |
李宗民等: "三维极半径矩及其在三维模型检索中的应用", 《模式识别与人工智能》 * |
赵秀艳等: "基于视觉特征的农业机械三维模型相似性评价", 《山东农业大学学报(自然科学版)》 * |
陶松桥: "基于面属性相似的CAD模型检索方法", 《武汉理工大学学报》 * |
Cited By (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111209634B (en) * | 2018-11-20 | 2024-04-16 | 波音公司 | Method and system for designing a part |
CN111209634A (en) * | 2018-11-20 | 2020-05-29 | 波音公司 | Manufactured part design based on artificial intelligence |
CN110334369B (en) * | 2019-04-02 | 2020-05-26 | 武汉理工大学 | Automotive interior part design system |
CN110334369A (en) * | 2019-04-02 | 2019-10-15 | 武汉理工大学 | A kind of automotive upholstery designing system |
CN112489105A (en) * | 2019-08-24 | 2021-03-12 | 北京地平线机器人技术研发有限公司 | Method and device for acquiring structural parameter representation |
CN112489105B (en) * | 2019-08-24 | 2024-03-15 | 北京地平线机器人技术研发有限公司 | Structured parameter representation acquisition method and device |
CN110587867A (en) * | 2019-09-16 | 2019-12-20 | 费斯托气动有限公司 | Sectional compensation design method for valve seat mold |
CN110866317A (en) * | 2019-11-23 | 2020-03-06 | 广东科龙模具有限公司 | Design tool kit reconstruction method based on product historical information and design behavior analysis |
CN110909697A (en) * | 2019-11-28 | 2020-03-24 | 华中科技大学 | Casting three-dimensional feature extraction and similarity measurement method combined with technological parameters |
CN111104717A (en) * | 2019-12-16 | 2020-05-05 | 华中科技大学 | Synchronous design method and system for modular fine granularity of die |
CN111209941A (en) * | 2019-12-30 | 2020-05-29 | 中车工业研究院有限公司 | Product module type identification method and device |
CN111209941B (en) * | 2019-12-30 | 2024-04-26 | 中车工业研究院有限公司 | Product module type identification method and device |
CN111428362A (en) * | 2020-03-24 | 2020-07-17 | 鞍山市和丰耐火材料有限公司 | Die design template of refractory product and method for automatically accounting die cost |
CN111428362B (en) * | 2020-03-24 | 2023-05-12 | 鞍山市和丰耐火材料有限公司 | Mold design template of refractory product and method for automatically accounting mold cost |
CN111914112A (en) * | 2020-07-07 | 2020-11-10 | 西安交通大学 | Part CAD model reusing method based on point cloud classification network |
CN111914112B (en) * | 2020-07-07 | 2023-05-23 | 西安交通大学 | Part CAD model reuse method based on point cloud classification network |
CN112001044B (en) * | 2020-07-31 | 2024-04-02 | 宁波智讯联科科技有限公司 | Method and system for estimating similarity of CAD model of part |
CN112001044A (en) * | 2020-07-31 | 2020-11-27 | 宁波浙大联科科技有限公司 | Part CAD model similarity estimation method and system |
CN112036814A (en) * | 2020-08-18 | 2020-12-04 | 苏州加非猫精密制造技术有限公司 | Intelligent production management system and management method based on 3D retrieval technology |
CN112131734A (en) * | 2020-09-18 | 2020-12-25 | 杭州筑峰科技有限公司 | Die matching method and system applied to curtain wall aluminum profile |
CN112131734B (en) * | 2020-09-18 | 2022-07-05 | 杭州筑峰科技有限公司 | Die matching method and system applied to curtain wall aluminum profile |
CN112163333A (en) * | 2020-09-25 | 2021-01-01 | 华南理工大学 | Process aided design system and application method thereof |
CN112541207B (en) * | 2020-12-04 | 2023-07-07 | 成都数模码科技有限公司 | Stamping die man-machine interaction intelligent design method |
CN112541207A (en) * | 2020-12-04 | 2021-03-23 | 成都数模码科技有限公司 | Man-machine interaction intelligent design method for stamping die |
CN114329798B (en) * | 2022-03-02 | 2022-06-07 | 山东豪迈机械科技股份有限公司 | Method, device, equipment and medium for automatically generating tire mold processing technology digifax |
CN114329798A (en) * | 2022-03-02 | 2022-04-12 | 山东豪迈机械科技股份有限公司 | Method, device, equipment and medium for automatically generating tire mold processing technology digifax |
CN114386200A (en) * | 2022-03-23 | 2022-04-22 | 山东豪迈机械科技股份有限公司 | Engineering drawing generation method and equipment based on parameterized template technology |
CN115577449A (en) * | 2022-10-09 | 2023-01-06 | 广州中誉精密模具有限公司 | Intelligent design method for automobile panel die |
CN116680833A (en) * | 2023-06-07 | 2023-09-01 | 宣城市建林机械有限公司 | Drilling, tapping and milling design image generation system based on big data sharing |
CN116680833B (en) * | 2023-06-07 | 2023-12-12 | 宣城市建林机械有限公司 | Drilling, tapping and milling design image generation system based on big data sharing |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108595763A (en) | Die assembly design method based on model index technology | |
US11113431B2 (en) | MBD-based three-dimensional process designing method and platform for typical automobile machined part | |
CN107491610B (en) | Car panel die intelligent design system and design method | |
USRE36602E (en) | Concurrent engineering design tool and method | |
Ma et al. | Associative feature modeling for concurrent engineering integration | |
CN108182318B (en) | A method of the plastic geometry mouldability analysis based on UG NX system | |
CN108959694A (en) | A kind of BIM geometrical model construction method of big scale of construction complex building | |
US6856846B2 (en) | 3-D modeling method | |
Jong et al. | Automatic process planning of mold components with integration of feature recognition and group technology | |
CN106021669B (en) | A kind of Parameterized Design System and its method of tyre tread | |
CN109344498B (en) | Design implementation method of wedge module | |
CN108595631B (en) | Three-dimensional CAD model double-layer retrieval method based on graph theory | |
CN110795835A (en) | Three-dimensional process model reverse generation method based on automatic synchronous modeling | |
CN104143215A (en) | Informatization model design method of cable-membrane structure | |
CN112435310B (en) | Pattern design method based on shape grammar and neural network | |
CN109388875A (en) | A kind of design implementation method of elastic element module | |
CN106294968B (en) | Tyre tread 3d designing system and its method based on Engineering Semantics interactive mode | |
Hou et al. | A similarity-based approach for the variant design of core-pulling mechanism in injection mold design | |
CN107590348A (en) | A kind of auto parts low-carbon Integrated Design System and its method based on CAD platforms | |
CN107330199A (en) | A kind of automobile radiators the Automation Design system and its design method based on CATIA | |
CN102999557A (en) | Multi-angle curved surface feature hierarchy parameterization method | |
Xie | CAD Modeling Technology for Building Engineering Based on Extended Diagram and Polymorphic Model | |
Zhang et al. | An evolutionary design method of product form inspired by spider-webs | |
CN110287520A (en) | A kind of punching element automatic identifying method | |
CN116028571B (en) | Knowledge graph construction method and system based on thin-wall part |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180928 |
|
RJ01 | Rejection of invention patent application after publication |