CN105956320A - Engine design product digital ecological systematic modeling and storing method - Google Patents
Engine design product digital ecological systematic modeling and storing method Download PDFInfo
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- CN105956320A CN105956320A CN201610335185.0A CN201610335185A CN105956320A CN 105956320 A CN105956320 A CN 105956320A CN 201610335185 A CN201610335185 A CN 201610335185A CN 105956320 A CN105956320 A CN 105956320A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Abstract
The invention relates to an engine design product digital ecological systematic modeling and storing method. The method comprises the following steps: 1) defining each subsystem included in an engine as a colony, designing each part in the engine as an individual and defining the sets of same part individuals in the subsystems as populations according to the structure of the engine; 2) establishing a mathematic model of each part according to the structural characteristics of the part; 3) establishing mathematic models of the populations; 4) establishing mathematic models of the colonies according to assembling relationship of parts in the subsystems; and 5) establishing a mathematic model of an engine ecological system according to the assembling relationship of the subsystems, and storing the mathematic model. Compared with the prior art, the method disclosed in the invention has the advantages that the information lost in the digital storage process of the parts is less and the redundancy of the storage data is less.
Description
Technical field
The present invention relates to a kind of industrial design automatic technology, especially relate to a kind of electromotor deisgn product digital ecological
Systematization modeling and storage method.
Background technology
Modern industry has information dense, knowledge intensive feature, and for meeting growth requirement, the method for designing of product is with intelligence
Energyization, integrated, be automated as developing direction, intelligent design be solve this problem inexorable trend.Intelligent design, is i.e. people
The new system that work intelligence combines with computer aided design system and formed.It is with user function demand for input, with product
Design is described as output, and considers the function of product, performance, materials, operation etc. and be optimized scheme, thus reaches
Target to Automated Design.
Along with product structure tends to complicated, function tends to Composite and integrated, and product design process to produce towards complexity
Product.Complex product refers to high cost, extensive, high-tech, the product of engineering-intensive type, subsystem, system or facility；Complicated product
The customer demand of product is complicated, product composition complexity, manufacturing process are complicated, complicated, project management complexity, working environment are safeguarded in test
Complicated.But in real work, and not all complex product is all to grow out of nothing to be designed, research finds, the product of about 70%
Product design can classify as adaptability design, i.e. product design change.Design alteration refers to that design department to former construction drawing and sets
The change of design standard state expressed in meter file and amendment.Research shows, the design alteration in complex product causes
Loss may be up to ten million.
Study for the design alteration processes existed a large amount of in the design process of complex product, it is achieved change in design
The automatization of journey can be greatly reduced cost, more intelligent, is preferably combined with industry 4.0, industrial design automatization base
Plinth is industrial products modelings, and the digitized storage model of industrial products determines how far its intellectuality can be walked, if the initial stage
Model is not put up, all kinds of researchs extended on the basis of incomplete due to the later stage and expanded application, then goes amendment to send mould
The cost of type frame structure will be huge.
Summary of the invention
Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and provide a kind of electromotor design to produce
The modeling of product numeral ecosystemization and storage method.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of electromotor deisgn product numeral ecosystemization modeling and storage method, including step:
1) according to the structure of electromotor, each subsystem definition comprised by electromotor is group, each by electromotor
Part Definition is individual, and part group of individuals of the same race in each subsystem is defined as population；
2) mathematical model of each part is set up according to the architectural feature of part:
PI={Feathre, FeatureOrder, FeatureRelation}
Wherein: PI represents individual, the set of the feature that Feathre composition is individual, FeatureOrder represents composition individuality
Feature between order, FeatureRelation represents the relational matrix between feature；
3) mathematical model of population is set up:
PP={IndividualType, scale, PopulationRelation, CommunityType}
Wherein: PP represents that population, IndividualType represent the individual classification of composition population, and scale represents this population
Scale, PopulationRelation represents the relational matrix between population Personal, and CommunityType represents population
Residing group；
4) mathematical model of group is set up according to the assembly relation of part each in each subsystem:
PC={{PP}, PPRelation, function}
Wherein: { PP} represents the set of population of composition group, and PPRelation represents between each individuality of composition group
Relational matrix, function represents the specific function that this group is realized；
5) set up the mathematical model of electromotor ecosystem according to the assembly relation between each subsystem and stored:
PES={{PC}, PCRelation, FUNCTION}
Wherein: { PC} represents the set of group of composition product numeral ecosystem, and PCRelation represents composition ecology
The set of assembly relation between each group of system；FUNCTION represents the specific function that this ecosystem is realized.
The kind of described feature includes: boss, groove, rotary body, sweep volume, fillet, chamfering, hole, take out shell；
Described step 2) in a part founding mathematical models process specifically included step:
21) determine the feature comprised in this part, and determine the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with mutual relation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the mutual relation of i and feature j, i, j ∈ 1,2 ..., n}, n are that the feature that this part comprises is total
Number；
23) integrate acquisition feature, feature ordering and relational matrix and obtain the mathematical model of this part.
The mutual relation of described feature i and feature j is Spatial predicate logical relation, the kind bag of Spatial predicate logical relation
Include: irrelevant, stretching, grooving, rotate, scan, rounding, execution chamfering, punch, perform to take out shell.
Described step 4) specifically include step:
41) all parts in subsystem are ranked up according to population belonging to it；
42) according to the sequence of each part, the assembly relation opening relationships matrix PPRelation in conjunction with between each part:
Wherein: bijFor part i and the mutual relation of part j, i, j ∈ 1,2 ..., m}, m are that the part that this group comprises is total
Number；
43) function integrating the population, Job Scheduling, relational matrix PPRelation and this subsystem that obtain obtains group
Mathematical model.
Element in described relational matrix PPRelation by 0, one or more data sets constitute, any of which data
Group is:
Dateseries={r, fi,fj}
Wherein: dateseries is data set, r is unit's assembly relation, fiIn part i involved by unit's assembly relation
Feature, fjFor in peace assembly relation designed by part j in feature,
The kind of described unit assembly relation includes: point-be harmonious, point-line is harmonious, point-face be harmonious, line-line is harmonious, line-
Face is harmonious, surface-to-surface is harmonious, contact, offset, angle, connect firmly, weld, gear drive.
Compared with prior art, the invention have the advantages that
1) subsystem definition comprised in product is group, is individuality by Part Definition by the present invention, individual by multiple spies
Levying composition, the contact between contact and population between feature is represented by relational matrix, it is simple to utilize the model set up
Carry out mathematics when automatization optimizes design to calculate, few to the information lost in the digitized storing process of part, store simultaneously
The redundancy of data is few.
2) being categorized as boss, groove, rotary body, sweep volume, fillet, chamfering, hole, take out shell of feature kind, it is simple to carry out
Mathematical definition, matching relationship matrix F eatureRelation, convenient storage, it is possible to reduce storage data, for same
The digitized storage of part, compares and carries out trivector figure storage, and data compression rate is high.
3) mutual relation between two features is Spatial predicate logical relation, the kind bag of Spatial predicate logical relation
Include: irrelevant, stretching, grooving, rotate, scan, rounding, execution chamfering, punch, perform to take out shell, carry out corresponding with feature, if
Meter is more reasonable, and distortion is little.
4) the feature rank that the assembly relation of two parts is accurate in part by relational matrix PPRelation, therefore exists
When the automatization of product adjusts, it is also possible to be accurate to feature rank, result BUG that automatization adjusts is little.
Accompanying drawing explanation
Fig. 1 is the main process flow steps schematic diagram of the inventive method；
Fig. 2 is the structural representation of piston；
Fig. 3 is the space predicate verb net of piston；
Fig. 4 is that crankshaft connecting rod system forms schematic diagram；
Fig. 5 is the assembly relation network model schematic diagram of toggle；
Fig. 6 is assembly relation network model signal between the feature forming individuality about piston 1, connecting rod 1 and connecting rod cap 1
Figure；
Fig. 7 is electromotor numeral ecosystem assembly relation network model schematic diagram.
Detailed description of the invention
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implement, give detailed embodiment and concrete operating process, but protection scope of the present invention be not limited to
Following embodiment.
Study for the design alteration processes existed a large amount of in the design process of complex product.For realizing change in design
The automatization of process, introduces product design process by Concept of Ecosystem, and industry 4.0 proposes product numeral ecosystem concept.
Expected product ecosystem can simulate the ecosystem in nature, not only can represent each constituent of internal system and
Its contact, more goes for propagating and degradation status process, as the transmitting carrier of design alteration, for becoming design further
More carry out the model vehicle that research provides good.
To this end, present applicant proposes a kind of electromotor deisgn product numeral ecosystem modeling and storage method, such as Fig. 1
Shown in, including step:
1) according to the structure of electromotor, each subsystem definition comprised by electromotor is group, each by electromotor
Part Definition is individual, and part group of individuals of the same race in each subsystem is defined as population；
Ecosystem is a self-organizing, adaptive system, when one or more element changes
Time, other parts of system can automatically occur to change accordingly, so that it is guaranteed that the trouble-free operation of whole system.Herein will be raw
The theory of state system is incorporated in the middle of product design process, and product numeral ecosystem is defined as follows: at certain space model
In enclosing, the unified entirety that different components are constituted, produce shadow by information, energy, the transmission of material and exchange each other
Ring, it is possible to realizing certain function, and be adapted to environment, this complete functional unit is referred to as product numeral ecosystem.
Concrete, the composition framework of product numeral ecosystem is as shown in table 1:
Table 1
2) we using composition product least unit part as the individuality in product numeral ecosystem.Such as,
Piston, connecting rod, connecting rod cap and bent axles etc. in toggle, they are all seen as individuality in numeral ecosystem.?
In CSG (Constructive Solid Geometry constructs solid geometry method) model, entity is passed through by basic body element
Various computings generate, and in this article, choose the feature of component part as most basic component units, with Spatial predicate Logic Networks
Mode generates final material object parts.
Architectural feature according to part sets up the mathematical model of each part:
PI={Feathre, FeatureOrder, FeatureRelation}
Feature={F1,F2,…,Fn}
FeatureOrder={F1→F2→…→Fn}
Wherein: PI represents individual, the set of the feature that Feathre composition is individual, FeatureOrder represents composition individuality
Feature between order, FeatureRelation represents the relational matrix between feature, Fi(i=1,2 ..., n) represent tool
The feature of body, for boss, groove, rotary body, sweep volume, fillet, chamfering, hole, the one taken out in shell；
Step 2) in a part founding mathematical models process specifically included step:
21) determine the feature comprised in this part, and determine the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with mutual relation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the mutual relation of i and feature j, i, j ∈ 1,2 ..., n}, n are that the feature that this part comprises is total
Number；
23) integrate acquisition feature, feature ordering and relational matrix and obtain the mathematical model of this part.
The mutual relation of feature i and feature j is Spatial predicate logical relation, and the kind of Spatial predicate logic includes: unrelated
System, stretching, grooving, rotating, scan, rounding, execution chamfering, punch, perform to take out shell, specific coding is as shown in table 2:
Table 2
The specific descriptions of features above can have and further optimize design, but and are not belonging to the model that the application discusses
Farmland, specifically describes in the application and can use some known descriptions, as long as being stored by its digitized, specific as follows:
Boss: the restricted type of major parameter, such as size, until next, until plane etc.；Profile, direction etc.；
Groove: the restricted type of major parameter, such as size, until next, until plane etc.；Profile, direction etc.；
Rotary body: the angled restriction of major parameter, profile etc.；
Sweep volume: major parameter has profile, scanning pattern etc.；
Fillet: major parameter has the object etc. of radius and corners；
Chamfering: major parameter has the object of chamfering, length and angle etc.；
Hole: diameter, the degree of depth in hole and the location sketch etc. that major parameter is porose；
Take out shell: major parameter has face, inner thickness and the thickness as outside etc. removed；
The mathematical definition of feature is as follows:
F={Type, p1,…,pl}
Wherein, F represents that feature, Type represent the type of feature, pi(i=1 ..., l) represent the relevant parameter of feature, right
In different features, the value of l may be different.
For piston physical model, as it is shown in figure 1, piston entity by following feature form boss 1, boss 2 (not shown),
Boss 3 (not shown), groove 1, groove 2 (not shown), groove 3, its space predicate verb net is as it is shown on figure 3, each leaf in figure
Node represents the principal character forming this piston entity, numeral representation space predicate logic, and concrete meaning is as shown in table 2, two
Node generates more complicated feature by Spatial predicate logical operation, until it is individual to generate last part.
The process of feature component part has specific order, the most adjacent spatial relation between two features
Can be reduced by relational matrix FeatureRelation and obtaining, by the Spatial predicate Logic Networks embodiment of part, the description that arrives,
The relational matrix FeatureRelation of piston is specially matrix A as shown in Figure 2:
The Spatial predicate Logic Networks of part level is a special binary tree, in addition to top, the left sibling of each layer
There are two child nodes, and the rightest node does not all have child node.
The rule that Spatial predicate Logic Networks is converted to relational matrix is as follows:
Arrange the size of relational matrix be h+1, h (h is generally n-1) be the highest level of Spatial predicate Logic Networks, root saves
Point is the 0th layer；
By that analogy, L (h) is h for num (L (h))=1, num (R (h))=2, num (R (h-1))=num (R (h))+1=3
The left subtree of layer, R (h) represents the right subtree of h layer
A is setij=k then aji=-k, k are characterized Spatial predicate logic coding corresponding with feature j for i.
The rule that relational matrix is converted to Spatial predicate Logic Networks is as follows:
The feature of numbered 1 in matrix is placed in the top left sibling of characteristics tree, the feature of numbered 2 is placed in the highest
The right node of layer, when 1 >=3, is placed in the right node of h-1+2 layer by the feature of numbered i.
3) mathematical model of population is set up:
PP={IndividualType, scale, PopulationRelation, CommunityType}
Wherein: PP represents that population, IndividualType represent the individual classification of composition population, and scale represents this population
Scale, PopulationRelation represents the relational matrix between population Personal, and CommunityType represents population
Residing group；
Population, i.e. " certain class part ": with kind part group of individuals in a certain space, have identical structure, function
The part of characteristic constitutes same population.As the piston population in electromotor numeral ecosystem, connecting rod population, connecting rod cap population and
Bent axle population etc..As shown in Figure 4, piston population has 4 individualities, and connecting rod population has 4 individualities, and connecting rod cap population has 4 individualities,
Bent axle population only one of which is individual.
4) mathematical model of group is set up according to the assembly relation of part each in each subsystem:
PC={{PP}, PPRelation, function}
Wherein: { PP} represents the set of population of composition group, and PPRelation represents between each individuality of composition group
Relational matrix, function represents the specific function that this group is realized；
Assembly relation defines: the relation between different population is mainly by the individuality in population and the individuality in other populations
Between mutual relation and embody.In the middle of product numeral ecosystem, the relation between population is mainly assembly relation, including
Be harmonious constraint, contiguity constraint, skew constraint, angle restriction, connect firmly constraint etc..The detailed description of each assembly relation and coding situation
As shown in table 3.
Table 3
Step 4) specifically include step:
41) all parts in subsystem are ranked up according to population belonging to it；
42) according to the sequence of each part, the assembly relation opening relationships matrix PPRelation in conjunction with between each part:
Wherein: bijFor part i and the mutual relation of part j, i, j ∈ 1,2 ..., m}, m are that the part that this group comprises is total
Number；
Element in relational matrix PPRelation by 0, one or more data sets constitute, any of which data set is:
Dateseries={r, fi,fj}
Wherein: dateseries is data set, r is unit's assembly relation, fiIn part i involved by unit's assembly relation
Feature, fjFor the feature in the part j designed by peace assembly relation, the kind of unit's assembly relation is as shown in table 3.
43) function integrating the population, Job Scheduling, relational matrix PPRelation and this subsystem that obtain obtains group
Mathematical model.
According to the mathematical model of group, network model can be converted to show more intuitively, as it is shown in figure 5,
Node in figure represents the individuality of composition product numeral ecosystem, and wherein, dotted line represents between the individuality within same population
Relation, predominantly competitive relation；Solid line represents the relation between different population individuality, for the set of assembly relation, on solid line
Numeral represent specific assembly relation, concrete meaning can be shown in Table 3.When assembly relation between two individualities is not unique, use
The form of many tuples describes.
Now according to the mathematical model of group, the form of Spatial predicate Logic Networks of the part in Fig. 4 is replaced, then can group
Become the assembly relation network between the feature of individuality, as shown in Figure 6.
One group of part that Fig. 6 have chosen in Fig. 4 is individual, i.e. piston 1, connecting rod 1, connecting rod cap 1, respectively with the spy that composition is individual
Levy and represent individual, generate the assembly relation network between feature.Wherein, the node in Spatial predicate Logic Networks represents composition
Individual feature, f represents component relationship, the digital representation space predicate logic relation in bracket, illustrates and is shown in Table 2, multiple
Feature generates more complicated feature by Spatial predicate logical relation, until it is individual to generate part.If between Different Individual feature
There is assembly relation, be then connected with dotted line, the numeral on dotted line represents that concrete assembly relation, detailed description are shown in Table 3.Feature
The numeral of lower section represents feature numbering in the network.
5) set up the mathematical model of electromotor ecosystem according to the assembly relation between each subsystem and stored:
PES={{PC}, PCRelation, FUNCTION}
Wherein: { PC} represents the set of group of composition product numeral ecosystem, and PCRelation represents composition ecology
The set of assembly relation between each group of system；FUNCTION represents the specific function that this ecosystem is realized.
Product numeral ecosystem is defined as follows: in certain space, the unified entirety that different components are constituted,
Impact is produced each other, it is possible to realize certain function, and can fit by information, energy and the transmission of material and exchange
Answering environment, this complete functional unit is referred to as product numeral ecosystem.
Engine product numeral ecosystem mainly includes 7 major communities: fuel supply system group, lube system group, cooling
Be group, igniting be group, start be group, toggle group and valve actuating mechanism group.Electromotor ecosystem
Assembly relation network model is as shown in Figure 7.It addition, energy conversion is the major function of engine product numeral ecosystem.
Fig. 7 is electromotor ecosystem assembly relation network diagram, and as seen from the figure, electromotor ecosystem is by 7 jumpbogroups
Fall composition, represents with the node of different colours respectively.Wherein, Li(i=1,2 ..., 21) represent in electromotor numeral ecosystem
The relation having between 7 major communities.
By 7 major community's toggles, valve actuating mechanism, fuel supply system, lube system, start system, cooling system, igniting system
Numbered 1-7 respectively, then the ecosystem assembly relation network shown in Fig. 7 can be described by following matrix B:
In sum, set up electromotor deisgn product numeral ecosystem model, and stored, can distribute every
Mesh group carries out automatization's adjusted design.
Claims (6)
1. electromotor deisgn product numeral ecosystemization modeling and storage method, it is characterised in that include step:
1) according to the structure of electromotor, each subsystem definition comprised by electromotor is group, by each part in electromotor
It is defined as individuality, part group of individuals of the same race in each subsystem is defined as population；
2) mathematical model of each part is set up according to the architectural feature of part:
PI={Feathre, FeatureOrder, FeatureRelation}
Wherein: PI represents individual, the set of the feature that Feathre composition is individual, FeatureOrder represents the spy that composition is individual
Order between levying, FeatureRelation represents the relational matrix between feature；
3) mathematical model of population is set up:
PP={IndividualType, scale, PopulationRelation, CommunityType}
Wherein: PP represents that population, IndividualType represent the individual classification of composition population, and scale represents the rule of this population
Mould, PopulationRelation represents the relational matrix between population Personal, and CommunityType represents residing for population
Group；
4) mathematical model of group is set up according to the assembly relation of part each in each subsystem:
PC={{PP}, PPRelation, function}
Wherein: { PP} represents the set of population of composition group, and PPRelation represents the pass between each individuality of composition group
Being matrix, function represents the specific function that this group is realized；
5) set up the mathematical model of electromotor ecosystem according to the assembly relation between each subsystem and stored:
PES={{PC}, PCRelation, FUNCTION}
Wherein: { PC} represents the set of group of composition product numeral ecosystem, and PCRelation represents composition ecosystem
Each group between the set of assembly relation；FUNCTION represents the specific function that this ecosystem is realized.
A kind of electromotor deisgn product numeral ecosystemization modeling the most according to claim 1 and storage method, it is special
Levying and be, the kind of described feature includes: boss, groove, rotary body, sweep volume, fillet, chamfering, hole, take out shell；
Described step 2) in a part founding mathematical models process specifically included step:
21) determine the feature comprised in this part, and determine the sequence of feature according to the practical structures of part；
22) according to the sequence of feature, in conjunction with mutual relation opening relationships matrix F eatureRelation between each feature
Wherein: aijIt is characterized the mutual relation of i and feature j, i, j ∈ 1,2 ..., n}, n are that the feature that this part comprises is the most individual
Number；
23) integrate acquisition feature, feature ordering and relational matrix and obtain the mathematical model of this part.
A kind of electromotor deisgn product numeral ecosystemization modeling the most according to claim 2 and storage method, it is special
Levying and be, the mutual relation of described feature i and feature j is Spatial predicate logical relation, the kind bag of Spatial predicate logical relation
Include: irrelevant, stretching, grooving, rotate, scan, rounding, execution chamfering, punch, perform to take out shell.
A kind of electromotor deisgn product numeral ecosystemization modeling the most according to claim 2 and storage method, it is special
Levy and be, described step 4) specifically include step:
41) all parts in subsystem are ranked up according to population belonging to it；
42) according to the sequence of each part, the assembly relation opening relationships matrix PPRelation in conjunction with between each part:
Wherein: bijFor part i and the mutual relation of part j, i, j ∈ 1,2 ..., m}, m are that the part that this group comprises is the most individual
Number；
43) function integrating the population, Job Scheduling, relational matrix PPRelation and this subsystem that obtain obtains the number of group
Learn model.
A kind of electromotor deisgn product numeral ecosystemization modeling the most according to claim 4 and storage method, it is special
Levy and be, the element in described relational matrix PPRelation by 0, one or more data sets constitute, any of which data set
For:
Dateseries={r, fi,fj}
Wherein: dateseries is data set, r is unit's assembly relation, fiThe feature in part i involved by unit's assembly relation,
fjFor the feature in the part j designed by peace assembly relation.
A kind of electromotor deisgn product numeral ecosystemization modeling the most according to claim 5 and storage method, it is special
Levying and be, the kind of described unit assembly relation includes: point-be harmonious, point-line is harmonious, point-face be harmonious, line-line is harmonious, line-
Face is harmonious, surface-to-surface is harmonious, contact, offset, angle, connect firmly, weld, gear drive.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110096563A (en) * | 2019-04-28 | 2019-08-06 | 天津城建大学 | A kind of ecological network construction method based on ecology service logic coding |
| CN110941883A (en) * | 2019-10-31 | 2020-03-31 | 济南大学 | Method for generating size change propagation path in change design |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902866A (en) * | 2012-10-30 | 2013-01-30 | 同济大学 | Engine product design method based on behavioral stream ecosystem architecture |
| US8374828B1 (en) * | 2007-12-24 | 2013-02-12 | The University Of North Carolina At Charlotte | Computer implemented system for protein and drug target design utilizing quantified stability and flexibility relationships to control function |
| CN104636528A (en) * | 2013-11-15 | 2015-05-20 | 同济大学 | Engine modeling method based on behavior flow complex product function community and evolving of behavior flow complex product function community |
-
2016
- 2016-05-19 CN CN201610335185.0A patent/CN105956320B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8374828B1 (en) * | 2007-12-24 | 2013-02-12 | The University Of North Carolina At Charlotte | Computer implemented system for protein and drug target design utilizing quantified stability and flexibility relationships to control function |
| CN102902866A (en) * | 2012-10-30 | 2013-01-30 | 同济大学 | Engine product design method based on behavioral stream ecosystem architecture |
| CN104636528A (en) * | 2013-11-15 | 2015-05-20 | 同济大学 | Engine modeling method based on behavior flow complex product function community and evolving of behavior flow complex product function community |
Non-Patent Citations (1)
| Title |
|---|
| 王成恩 等: "面向对象的航空发动机装配模型", 《计算机集成制造系统》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110096563A (en) * | 2019-04-28 | 2019-08-06 | 天津城建大学 | A kind of ecological network construction method based on ecology service logic coding |
| CN110096563B (en) * | 2019-04-28 | 2023-04-28 | 天津城建大学 | Ecological network construction method based on ecological service logic coding |
| CN110941883A (en) * | 2019-10-31 | 2020-03-31 | 济南大学 | Method for generating size change propagation path in change design |
| CN110941883B (en) * | 2019-10-31 | 2023-07-25 | 济南大学 | Method for generating dimension change propagation path in change design |
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