CN107180138A - A kind of part machinability analysis method and system based on MBD models - Google Patents
A kind of part machinability analysis method and system based on MBD models Download PDFInfo
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- CN107180138A CN107180138A CN201710413740.1A CN201710413740A CN107180138A CN 107180138 A CN107180138 A CN 107180138A CN 201710413740 A CN201710413740 A CN 201710413740A CN 107180138 A CN107180138 A CN 107180138A
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Abstract
The invention provides a kind of part machinability analysis method and system based on MBD models, this method comprises the following steps：Step S1, part machinability knowledge rule is summed up according to part machinability knowledge, and the judgment models to form machinability knowledge rule are modeled to part machinability knowledge rule；Step S2, reads the data message of part MBD models, the technology characteristics and attribute information of part MBD models is parsed according to the data message of part MBD models；Step S3, is analyzed and reasoning part machinability knowledge rule, and provide part machinability analysis result and Optimizing Suggestions one by one according to the technology characteristics and attribute information of part MBD models using the judgment models of machinability knowledge rule；Step S4, the form that whole analysis results are reported according to result is exported.The present invention carries out specific, intuitively qualitative analysis in the Element Design stage using MBD models to the machinability of part, and practicality is good, and analysis is comprehensive, and efficiency is higher.
Description
Technical field
The present invention relates to part machinability analysis field, more particularly to a kind of part machinability based on MBD models
Analysis method and system.
Background technology
The quality of part machinability directly affects the quality of properties of product, the height of research and development of products cost and product and thrown
Enter the morning and evening of market hours.Therefore, its machinability is sufficiently checked and optimized particularly significant in the Element Design stage.
The existing non-MBD models of Element Design machinability analysis system data source, can only obtain the geometry of model
Attribute, by the acquisition to part model geometric attribute, obtains the shape and structure attribute of part model.Mostly it is further according to production
The actual conditions of enterprise select a quantizating index, according to Quantization Index System, and designer is allowed by the pattern of man-machine interaction
Given a mark one by one to design a model according to quantizating index, so as to quantitatively analyze Element Design by obtained fraction
Quality.Although this quantitatively analysis is a kind of overall merit to the overall machinability of part model, can only be from amount
Angle it is abstract weigh Element Design machinability size and processing complexity, specifically can not intuitively point out part
The quality of machinability, recommendation on improvement, poor practicability can not be provided as the case may be.And this main root of quantitative analysis
The quality for providing machinability according to the shape and structure angle of Element Design is evaluated, and have ignored markup information in Element Design, public affairs
Difference and influence of the precision information to processability, are analyzed not comprehensive enough.Finally, this method needs designer alternatively to be believed
Breath input, it is impossible to make full use of the data message in MBD models, less efficient and easy error.
The content of the invention
It is an object of the invention to provide a kind of part machinability analysis method and system based on MBD models, it is intended to
For solving existing part machinability analysis method poor practicability, not comprehensive, the problem of efficiency is low is analyzed.
What the present invention was realized in：
The present invention provides a kind of part machinability analysis method based on MBD models, comprises the following steps：
Step S1, part machinability knowledge rule is summed up according to part machinability knowledge, to part machinability knowledge
Rule is modeled the judgment models to form machinability knowledge rule；
Step S2, reads the data message of part MBD models, part MBD moulds is parsed according to the data message of part MBD models
The technology characteristics and attribute information of type；
Step S3, the judgment models of machinability knowledge rule are utilized according to the technology characteristics and attribute information of part MBD models
Part machinability knowledge rule is analyzed and reasoning one by one, and provides part machinability analysis result and optimization is built
View；
Step S4, the form that whole analysis results are reported according to result is exported.
Further, the shape and structure knowledge of the part machinability knowledge in the step S1 including part, part
Markup information knowledge, the tolerance of part and precision knowledge.
Further, the step S1 includes：
Step S1.1, collects part machinability knowledge, and the refinement of summarizing of part machinability knowledge is formed part and can added
Work sex knowledge rule is simultaneously saved in database in the form of text；
Step S1.2, the determining program of machinability knowledge rule is write according to part machinability knowledge rule, described to add
Whether the determining program of work sex knowledge rule can meet part machinability knowledge rule according to the condition judgment of the input condition
Then, the modeling to part machinability knowledge rule is completed.
Further, it is the material information of the data message of the part MBD models read in the step S2 including model, several
What structural information, topology information, markup information, tolerance information and precision information.
Further, the step S2 includes：
S2.1, reads the data message of part MBD models from the MBD models of part；
S2.2, spy is processed according to the data message of the part MBD models of reading using machining features recognition technology to part
Identification is levied, the technology characteristics and attribute information of part MBD models are parsed.
Further, the step S3 includes：
Travel through the judgment models of each machinability knowledge rule, according to the technology characteristics of required part MBD models and
Attribute data judges whether part MBD models meet the requirement of part machinability knowledge rule, can by part if meeting
Processability knowledge rule, can by related process feature and attribute and part if being unsatisfactory for as the satisfaction in analysis result
Processability knowledge rule together as the item that is unsatisfactory in analysis result, and using rule itself as this be unsatisfactory for item modification or
Optimizing Suggestions.
The present invention also provides a kind of part machinability analysis system based on MBD models, it is characterised in that including：
Modeling module, the judgement mould that machinability knowledge rule is formed for being modeled to part machinability knowledge rule
Type；
Information is read and parsing module, the data message for reading part MBD models, and according to the data of part MBD models
Information parses the technology characteristics and attribute information of part MBD models；
Analysis ratiocination module, machinability knowledge rule is utilized for the technology characteristics and attribute information according to part MBD models
Judgment models part machinability knowledge rule is analyzed and reasoning one by one, and provide part machinability analysis result
And Optimizing Suggestions；
As a result output module, the form for whole analysis results to be reported according to result is exported.
Compared with prior art, the invention has the advantages that：
This part machinability analysis method and system based on MBD models that the present invention is provided, can utilize Element Design
MBD models carry out specific, intuitively qualitative analysis in the product parts design phase to the machinability of Element Design, so that
Element Design can be optimized in design phase to greatest extent, to improving designing quality, reduction R＆D costs, shortening the R＆D cycle
Play an important roll., can be with by modeling to form machinability knowledge rule judgment models to part machinability knowledge rule
It is very specific, directly perceived that qualitative analysis is carried out to part machinability, and because machinability knowledge rule can serve as in itself
Recommendation on improvement is designed, Element Design can be optimized according to knowledge rule, practicality is good.Part machinability knowledge rule
Not only include influence of the part geometry structure to processability, while also contemplated markup information in Element Design, tolerance and essence
Influence of the information to design additive property is spent, comprehensively part machinability can be checked.It is special using MBD models and processing
Identification technology is levied, the total data that the analysis of part machinability needs can be fully obtained, can be realized using computer automatic
Change, efficiency is higher.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the part machinability analysis method based on MBD models provided in an embodiment of the present invention；
Fig. 2 is a kind of structure principle chart of the part machinability analysis system based on MBD models provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is all other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, the embodiment of the present invention provides a kind of part machinability analysis method based on MBD models, it is special
Levy and be, comprise the following steps：
Step S1, part machinability knowledge rule is summed up according to part machinability knowledge, to part machinability knowledge
Rule is modeled the judgment models to form machinability knowledge rule.
Wherein, part machinability knowledge includes the shape and structure knowledge of part（For example：Groove can not be too thin, Yi Mianjia
Man-hour waits groove walls surface intensity and is not enough processed cutter destruction）, part markup information knowledge（Such as blind hole needs to mark hole
Depth, but through hole need not mark the depth in hole）, part tolerance and precision knowledge（The machining accuracy of axle can not be selected at will
Take, it should meet national standard requirement）.The source of knowledge can be bookish machine components processing knowledge or zero
Part design manual, country, industry, enterprise's design standard, or manufacture and design the summary of correlation experience.
Part machinability knowledge rule be as weigh part machinability referring generally to can be by examining part
Whether design meets specific part machinability knowledge rule to analyze the machinability of part, while can be processed according to part
The content of sex knowledge rule can be improved for Element Design and provide Optimizing Suggestions.Can be by person skilled by part machinability
Knowledge is summarized refinement, forms part machinability knowledge rule（For example：The machine direction in hole must be perpendicular to drilling table
Face；Groove wall thickness should be greater than design standard setting；Blind hole should mark hole depth；The machining accuracy of axle should meet national Specification
Value）, specific rules determine as needed by person skilled.
Preferably, the step S1 includes：
Step S1.1, collects part machinability knowledge, and the refinement of summarizing of part machinability knowledge is formed part and can added
Work sex knowledge rule is simultaneously saved in database in the form of text；
Step S1.2, the determining program of machinability knowledge rule is write according to part machinability knowledge rule, described to add
Whether the determining program of work sex knowledge rule can meet part machinability knowledge rule according to the condition judgment of the input condition
Then, the modeling to part machinability knowledge rule is completed.
The determining program of the machinability knowledge rule can be write using the form of C Plus Plus executable program.
Step S2, reads the data message of part MBD models, part is parsed according to the data message of part MBD models
The technology characteristics and attribute information of MBD models；
The material information of the data message of the part MBD models wherein read including model, geometry information, topology information,
Markup information, tolerance information and precision information.
Preferably, the step S2 includes：
S2.1, reads the data message of part MBD models from the MBD models of part；
Part MBD models include the full detail required for part processing and manufacturing process, wherein topmost is exactly geometric form
Shape information, markup information and tolerance grade information.By the extraction and analysis to these information, analyzed as part machinability
Basic foundation.
The secondary development application programming interfaces that can be specifically provided using NX softwares, the reading model from part MBD models
Material information, geometry information, topology information, markup information（Including size marking, Roughness Marking, shape position
Put mark and other technologies require markup information）, tolerance information and precision information, be stored in software program.
S2.2, is added according to the data message of the part MBD models of reading using machining features recognition technology to part
Work feature recognition, parses the technology characteristics and attribute information of part MBD models.
The data message of the part MBD models read in the step S2.1 is not enough to directly utilize adding to part
Work is analyzed, it is necessary to change into the technology characteristics and attribute with process meaning.What is for example in step S2.1 read is several
What structural information may be comprising some planes, face of cylinder information etc., and topology information includes the convex-concave linking relationship in face and face, mark
Information includes size marking（Distance, diameter, angle）, Roughness Marking etc..Using machining features recognition technology by inner circle
Cylinder and its plane of convex connection are identified as a hole characteristic, and the plane of some recessed connections is identified as into a notch feature, and
According to the attribute of these information acquisition features, such as the diameter in hole, the depth of groove etc., and combine other information, such as hole
DDI and tolerance, the surface roughness and precision of groove, be stored in software program.Wherein, machining features recognition skill
Art is the technology of an existing comparative maturity.
Step S3, according to the technology characteristics and attribute information of part MBD models to machinability knowledge rule judgment models
In part machinability knowledge rule analyzed one by one and reasoning.
Preferably, the step S3 includes：
Travel through the judgment models of each machinability knowledge rule, according to the technology characteristics of required part MBD models and
Attribute data judges whether part MBD models meet the requirement of part machinability knowledge rule, can by part if meeting
Processability knowledge rule, can by related process feature and attribute and part if being unsatisfactory for as the satisfaction in analysis result
Processability knowledge rule together as the item that is unsatisfactory in analysis result, and using rule itself as this be unsatisfactory for item modification or
Optimizing Suggestions.
The judgment models of each machinability knowledge rule are specially traveled through, according to the judgement of machinability knowledge rule
Data type required for model, regard the technology characteristics and attribute data of the corresponding part MBD models obtained in step 2 as ginseng
Number is input in the corresponding determining program of the judgment models of each machinability knowledge rule, obtains program implementing result conduct
Analysis ratiocination result.
Step S4, the form that whole analysis results are reported according to result is exported.
What result report included each machinability knowledge rule meets situation and Optimizing Suggestions.
As shown in Fig. 2 the present invention also provides a kind of part machinability analysis system based on MBD models, including：
Modeling module, the judgement mould that machinability knowledge rule is formed for being modeled to part machinability knowledge rule
Type；
Information is read and parsing module, the data message for reading part MBD models, and according to the data of part MBD models
Information parses the technology characteristics and attribute information of part MBD models；
Analysis ratiocination module, machinability knowledge rule is utilized for the technology characteristics and attribute information according to part MBD models
Judgment models part machinability knowledge rule is analyzed and reasoning one by one, and provide part machinability analysis result
And Optimizing Suggestions；
As a result output module, the form for whole analysis results to be reported according to result is exported.
In summary, the present invention is provided this part machinability analysis method and system based on MBD models, can
It is specific, intuitively fixed that the machinability of Element Design is carried out in the product parts design phase using Element Design MBD models
Property analysis, so that Element Design can be optimized to greatest extent within the design phase, researched and developed into improving designing quality, reduction
Originally, the shortening R＆D cycle plays an important roll.Machinability knowledge rule are formed by being modeled to part machinability knowledge rule
Then judgment models, very specific, directly perceived can carry out qualitative analysis to part machinability, and due to machinability knowledge rule
It itself can serve as designing recommendation on improvement, Element Design can be optimized according to knowledge rule, practicality is good.Part can
Processability knowledge rule not only includes influence of the part geometry structure to processability, is marked while also contemplated in Element Design
The influence of information, tolerance and precision information to design additive property, comprehensively can be checked part machinability.Utilize
MBD models and machining features recognition technology, can fully obtain the total data that the analysis of part machinability needs, can utilize
Computer realizes automation, and efficiency is higher.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
Claims (7)
1. a kind of part machinability analysis method based on MBD models, it is characterised in that comprise the following steps：
Step S1, part machinability knowledge rule is summed up according to part machinability knowledge, to part machinability knowledge
Rule is modeled the judgment models to form machinability knowledge rule；
Step S2, reads the data message of part MBD models, part MBD moulds is parsed according to the data message of part MBD models
The technology characteristics and attribute information of type；
Step S3, the judgment models of machinability knowledge rule are utilized according to the technology characteristics and attribute information of part MBD models
Part machinability knowledge rule is analyzed and reasoning one by one, and provides part machinability analysis result and optimization is built
View；
Step S4, the form that whole analysis results are reported according to result is exported.
2. the part machinability analysis method as claimed in claim 1 based on MBD models, it is characterised in that：The step
Part machinability knowledge in S1 include the shape and structure knowledge, the markup information knowledge of part, the tolerance of part of part with
Precision knowledge.
3. the part machinability analysis method as claimed in claim 1 based on MBD models, it is characterised in that the step
S1 includes：
Step S1.1, collects part machinability knowledge, and the refinement of summarizing of part machinability knowledge is formed part and can added
Work sex knowledge rule is simultaneously saved in database in the form of text；
Step S1.2, the determining program of machinability knowledge rule is write according to part machinability knowledge rule, described to add
Whether the determining program of work sex knowledge rule can meet part machinability knowledge rule according to the condition judgment of the input condition
Then, the modeling to part machinability knowledge rule is completed.
4. the part machinability analysis method as claimed in claim 1 based on MBD models, it is characterised in that：The step
The data message of the part MBD models read in S2 includes material information, geometry information, topology information, the mark of model
Information, tolerance information and precision information.
5. the part machinability analysis method as claimed in claim 1 based on MBD models, it is characterised in that the step
S2 includes：
S2.1, reads the data message of part MBD models from the MBD models of part；
S2.2, spy is processed according to the data message of the part MBD models of reading using machining features recognition technology to part
Identification is levied, the technology characteristics and attribute information of part MBD models are parsed.
6. the part machinability analysis method as claimed in claim 1 based on MBD models, it is characterised in that the step
S3 includes：
Travel through the judgment models of each machinability knowledge rule, according to the technology characteristics of required part MBD models and
Attribute data judges whether part MBD models meet the requirement of part machinability knowledge rule, can by part if meeting
Processability knowledge rule, can by related process feature and attribute and part if being unsatisfactory for as the satisfaction in analysis result
Processability knowledge rule together as the item that is unsatisfactory in analysis result, and using rule itself as this be unsatisfactory for item modification or
Optimizing Suggestions.
7. a kind of part machinability analysis system based on MBD models, it is characterised in that including：
Modeling module, the judgement mould that machinability knowledge rule is formed for being modeled to part machinability knowledge rule
Type；
Information is read and parsing module, the data message for reading part MBD models, and according to the data of part MBD models
Information parses the technology characteristics and attribute information of part MBD models；
Analysis ratiocination module, machinability knowledge rule is utilized for the technology characteristics and attribute information according to part MBD models
Judgment models part machinability knowledge rule is analyzed and reasoning one by one, and provide part machinability analysis result
And Optimizing Suggestions；
As a result output module, the form for whole analysis results to be reported according to result is exported.
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| CN107357964A (en) * | 2017-06-19 | 2017-11-17 | 江苏科技大学 | A kind of graphic representation method of form and position tolerance |
| CN108038289A (en) * | 2017-12-04 | 2018-05-15 | 武汉开目信息技术股份有限公司 | A kind of emulation mode and device for clearing up body surface |
| CN108170896A (en) * | 2017-12-04 | 2018-06-15 | 武汉开目信息技术股份有限公司 | A kind of emulation mode and device that brush applied coating is applied in body surface |
| CN110795797A (en) * | 2019-09-26 | 2020-02-14 | 北京航空航天大学 | MBD model processing feature recognition and information extraction method |
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| CN107357964A (en) * | 2017-06-19 | 2017-11-17 | 江苏科技大学 | A kind of graphic representation method of form and position tolerance |
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| CN108170896B (en) * | 2017-12-04 | 2021-05-18 | 武汉开目信息技术股份有限公司 | Simulation method and device for coating on surface of object |
| CN110795797A (en) * | 2019-09-26 | 2020-02-14 | 北京航空航天大学 | MBD model processing feature recognition and information extraction method |
| CN112733451A (en) * | 2021-01-12 | 2021-04-30 | 北京航空航天大学 | Key inspection characteristic identification and extraction method of MBD model |
| CN112733451B (en) * | 2021-01-12 | 2022-05-10 | 北京航空航天大学 | Key inspection characteristic identification and extraction method of MBD model |
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Application publication date: 20170919 |