CN110941883B - Method for generating dimension change propagation path in change design - Google Patents

Method for generating dimension change propagation path in change design Download PDF

Info

Publication number
CN110941883B
CN110941883B CN201911049968.2A CN201911049968A CN110941883B CN 110941883 B CN110941883 B CN 110941883B CN 201911049968 A CN201911049968 A CN 201911049968A CN 110941883 B CN110941883 B CN 110941883B
Authority
CN
China
Prior art keywords
size
change
association
parts
matrix
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.)
Active
Application number
CN201911049968.2A
Other languages
Chinese (zh)
Other versions
CN110941883A (en
Inventor
杨波
尚俊芝
马宁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Jinan
Original Assignee
University of Jinan
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by University of Jinan filed Critical University of Jinan
Priority to CN201911049968.2A priority Critical patent/CN110941883B/en
Publication of CN110941883A publication Critical patent/CN110941883A/en
Application granted granted Critical
Publication of CN110941883B publication Critical patent/CN110941883B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method for generating a size change propagation path in a change design. The whole process from the change transmission of the initial change size between the parts to the change transmission in a single part in the product change design can be realized, and the change transmission process from a change source to the part to the specific size inside the part and the data flow thereof are described. Firstly, analyzing the assembly relation among parts to obtain a part association network; the cost is changed by measuring the complexity of size transmission, and a plurality of paths represented by a part association network are optimized to obtain an inter-part association path; determining the size association between the parts by using inner product operation to obtain a changed transmission path of the initial changed size between the parts; based on the modeling process analysis of the part structure, the connection and constraint relation between the internal dimensions of the part is formed, and on the basis, a change transmission path of the internal dimensions of the part is formed. The invention can also be applied to other practical problems related to the search of the changed transmission path.

Description

Method for generating dimension change propagation path in change design
Technical Field
The invention relates to the field of product change or deformation design, in particular to a method for generating a size change propagation path in change design.
Background
The complex mechanical products often have multi-scale association in the aspects of size, structure and other attributes, the design change of a certain component part of the complex mechanical products not only can trigger the linkage change on the structure of related parts in a product system, but also can cause a series of change transfer of related size parameters, and in view of the universality and complexity of the change of the size parameters of the products, the research on the change propagation path generation method of the complex mechanical products has important significance. At present, related researches are mainly focused on algorithms for changing propagation paths, and the problem of size change propagation in the whole process of product change design cannot be solved. The literature 'mechanical product engineering changed propagation path searching method based on characteristic association network model, mechanical engineering report, 2011, vol47 (19), p 97-105' discloses a path searching method consisting of three parts of changing influence propagation path searching algorithm, changing route searching algorithm, feasible path scheme evaluation and optimization algorithm by analyzing the association between corresponding parameters, and establishes a product characteristic parameter structured association network model. The literature is "product association design and change influence analysis", university of middle and north (natural science edition), 2017, vol38 (03), p282-290 "identifies and extracts the features of parts through the decomposition technology of unit bodies, obtains the association relation and parameters among parts needing association coordination solution, and discloses a breadth-first traversal algorithm for product association design, but the method only carries out relevant researches in terms of association propagation range solution and the like. The literature discloses a feasible path changing searching and optimizing method based on driving parameter modeling, which is disclosed in Shanghai university journal of traffic, 2017, vol51 (10), p1220-1227, a product driving parameter association network model is built on the basis of traditional product parameter modeling, and a depth-first searching algorithm is adopted to realize the search of the feasible path changing, but the method has strong dependence on model preprocessing and simplified process and is slightly complicated for product operation consisting of a large number of parts. The design change path searching technology mentioned by the method mainly focuses on the design and improvement of a problem solving method, and only carries out relevant size change propagation analysis from the perspective of a product assembly, so that the overall process research of the design change propagation influence on the inherent characteristics of the product and how to lead the initial change size to the specific size of parts and parts in the product is relatively less.
Technical problem to be solved
In order to solve the problems in the prior art, a change propagation method from a change source to a part to a specific size inside the part is established, and the invention provides a size change propagation path generation method in a change design.
Technical proposal
Firstly, analyzing assembly relations among parts, acquiring association logic relations among parent-child parts by using a matrix analysis method, and establishing a part association network; the cost is changed by measuring the complexity of size transmission, and a plurality of paths represented by a part association network are optimized to obtain an inter-part association path; determining the size association between the parts by using an inner product operation method to obtain a changed transmission path of the initial changed size between the parts; based on modeling process analysis of the part structure, connection and constraint relation between internal dimensions of the part are formed, a dimension change path unit is established, and on the basis, iterative search and superposition are carried out on the path unit, so that a change transfer path of the internal dimension of the part is formed. The invention can also be applied to other practical problems related to the search of the changed transmission path.
The technical scheme of the invention is as follows:
the method for generating the dimension change propagation path in the change design is characterized by comprising the following steps of: the method comprises the following steps:
step 1: establishing a product part set P= [ P ] i ];
Step 2: establishing the dimension parameter set E [ P ] of each part i ]= [P i,1 , P i,2 , .....,P i n, ],P i j, Representing partsiIs the first of (2)jA size parameter;
step 3: build part P i To part P j Is related to the set of dimension parameters E [ P ] j , P i ]= [P i,k1 ,P i,k2 , .....,P i,km ]The set is when the part P i When changing, will be to part P j P with influence of dimensional parameters i Is set of dimensional parameters of the (c) in the drawing,k m is P i The number of related parameters;
step 4: according to the size association relation among all the parts participating in the association change, E [ P ] j , P i ]Based on the above, a part-part association set value matrix A= [ a ] is established ji ]In the matrix, columns represent the initial change parts, rows represent the affected parts, and each element in the matrix represents the initial change part P i For the affected part P j Generating an affected set of dimensional parameters;
step 5: in the part-part association set value matrix A= [ a ] ji ]On the basis of (a) the base,the columns of the matrix are expanded from the changing parts to the size parameters of the parts, the matrix is binary converted, the column parameters are respectively represented by 0 and 1 in the matrix, the column parameters have no influence and have influence on the row parts, and an intermediate conversion set value matrix B= [ B ] is established ji ];
Step 6: according to the intermediate conversion value matrix B, converting the value matrix into a value matrix, and establishing a part size parameter-part association value matrix C= [ C ] ij ];
Step 7: selecting the first of the numerical matrices CjThe row part being the initial change part, i.e. the parent part being P j Reading matrix CjNon-zero vector in column, row part corresponding to non-zero vector is P j Affected offspring parts;
step 8: performing AND operation on vectors of the affected child parts in the column in pairs to identify whether common parent part influence parameters exist among the child parts, determining an AND or logic relationship among the child parts, and establishing a layer of association network;
step 9: repeating the step 7 by taking the child node of the association network as a modified part, and performing iterative search;
step 10: when a part which is repeated with a parent node appears on one branch in the path, the searching of the branch is stopped; all branch searches are stopped, and a correlation network among parts is formed;
step 11: calculating the size transfer complexity of each path in the part association network, and selecting one with the lowest complexity as a final part association path;
step 12: establishing a size association matrix of adjacent male and female parts in part association pathsWherein the method comprises the steps ofmIs part P q Is used for the number of dimensional parameters of (a),nis part P e Is a number of dimensional parameters of (a); in the matrix, if part P q Is the first of (2)jThe individual dimensional parameters will be specific to part P e Is the first of (2)iThe influence of the size parameter is d ij =1, otherwise d ij =0;
Step 13: let P be q Middle (f)iThe size parameter is changed size bymDimension unit vector e i And matrix D (P e ,P q ) Each row of the two rows is respectively subjected to inner product operation to obtain P q Middle (f)iP affected by the size parameters e Is a set of dimensions of (a);
step 14: taking the affected dimension of the offspring as a new parent change dimension, repeating the step 13, and iterating to obtain a related dimension change propagation path between parts;
step 15: carrying out structural analysis on the affected part, establishing a tree-shaped control expressing the structural association relation of the affected part, and establishing a size change path unit corresponding to the modeling process presented by the tree-shaped control;
step 16: defining the initial change size of the part as a parent feature size, searching a size change path unit related to the size change path unit, and taking the size change path unit as a first-layer size association path;
step 17: repeating the step 16 with the child feature size in the first-layer size association unit as the parent feature size until the child feature size is the parent feature size that has been changed, and ending the change; forming a propagation path inside the part for the dimensional change.
Advantageous effects
The invention provides a method for generating a dimension change propagation path in a change design, which provides a quantitative conversion mode of dimension characteristic change transmission for engineering change propagation and a feasible operation method for computer expression and realization of dimension propagation analysis finally; on the other hand, the association and transfer relation of the dimension in the product structure are described from the dimension association angle, and the data flow of the dimension modification inside the product is determined. The invention can effectively improve the accuracy and efficiency of size change in the design change process, thereby improving the design efficiency.
Drawings
Fig. 1: a flow chart of an embodiment of the present invention (for a dimensional propagation path between parts);
fig. 2: a flow chart of an embodiment of the invention (for a dimensional propagation path within a part);
fig. 3: the embodiment of the invention comprises a unit division diagram;
fig. 4: the embodiment of the invention relates to an incidence relation diagram;
fig. 5: first-layer part association network of the embodiment of the invention
Fig. 6: part association network of the embodiment of the invention
Fig. 7: inter-part size transfer path diagram of an embodiment of the invention
Fig. 8: dimensional transmission path diagram in a part of an embodiment of the invention
Detailed Description
The invention is described below in connection with specific embodiments:
the flow chart of the method for generating the dimension change propagation path in the change design is shown in figures 1 and 2. In this embodiment, an injection molding machine is taken as an example, and the structure of the injection molding machine can be divided into three functional units as shown in fig. 3, namely, a material injection unit, a manipulator unit and a box unit; the method analysis is performed below using a case unit as an example.
The structure of the case unit and the association relationship between the components are shown in fig. 4.
Step 1: establishing a product part set P= [ P ] i ]:P = [P 1 ,P 2 ,P 3 ,P 4 ,P 5 ,P 6 ]。
Step 2: establishing the dimension parameter set E [ P ] of each part i ]= [P i,1 , P i,2 , .....,P i n, ]The following are provided:
E[P 1 ]=[P 1,1 , P 1,2 , P 1,15 , P 1,13 , P 1,7 , P 1,3 , P 1,5 ];
E[P 2 ]=[P 2,1 , P 2,2 , P 2,3 , P 2,4 , P 2,5 , P 2,6 ];
E[P 3 ]=[P 3,1 , P 3,2 , P 3,3 , P 3,4 , P 3,5 , P 3,6 ];
E[P 4 ]=[P 4,1 , P 4,2 ];
E[P 5 ]=[P 5,1 , P 5,2 ];
E[P 6 ]=[P 6,1 , P 6,2 , P 6,3 ];
step 3: establishing each part association influence size parameter set E [ P ] j , P i ]= [P i,k1 ,P i,k2 , .....,P i,km ]As shown in table 1.
TABLE 1 part association influence size parameter set
Step 4: according to the size association relation among all the parts participating in the association change, E [ P ] j , P i ]Based on the above, a part-part association set value matrix A= [ a ] is established ji ]As shown in Table 2, where columns represent the change parts, rows represent the affected parts, and each element in the matrix represents the change part P i For the affected part P j A set of affected dimensional parameters is generated.
TABLE 2 part-to-part association set value matrix A
Step 5: by a part-part association set value matrix A= [ a ] ji ]Based on the design parameters of the parts, the columns of the matrix are expanded from the changed parts to the design parameters of the parts, the matrix is binary converted, the column parameters are respectively represented by 0 and 1 in the matrix, the column parameters have no influence on the row parts, and an intermediate conversion set value matrix B= [ B ] is established ji ]As shown in table 3.
TABLE 3 part parameters-part intermediate conversion set value matrix B
Step 6: according to the intermediate conversion value matrix B, converting the value matrix into a value matrix, and establishing a value matrix C= [ C ] of part parameter-part association ji ]
Step 7: selecting an initial change part and determining a sub-part influenced by the initial change part; for example, the 2 nd row component thrust pad in the matrix C is selected as the initial component, i.e. the parent component, since the 2 nd row of the matrix C has only the first non-zero vector, P 2 The affected offspring part is P 1 And P is 2 And P 1 A layer of association network can be directly established between the two networks;
step 8: determining a logic relationship between the child parts according to whether the child parts have common parent part influence parameters; due to part P 2 Is only P 1 Therefore, by the part P 1 As parent parts for example.
According to matrix C, part P 1 Is a part P 3 、P 4 、P 6 Thus, the row vectors of the 3 rd, 4 th and 6 th rows of the matrix C are AND-ed in pairs, due to
[111110]&[100001]≠Ø、[111110]&[110001] ≠Ø、[100001]&[110001] ≠Ø,
Part P 3 、P 4 、P 6 In an AND relationship, as shown in fig. 5;
step 9: repeating the step 7 by taking the child node of each layer of the associated network as a modification source, and performing iterative search;
step 10: when a part which is repeated with a parent node appears on a certain branch, the branch search is stopped; all branch searches are stopped, and a correlation network among parts is formed, as shown in fig. 6a;
step 11: calculate zeroThe complexity of each path in the part association network is selected as the final inter-part association path, as shown in FIG. 6a, part P in this example 3 、P 4 、P 6 For the AND relationship, only one association path is formed, AND the complexity calculation process is as follows:
(1) calculating a size change propagation coefficient lambda ij Depicting father-generation part P i Dimension change to sub-part dimension P j Is defined by
Wherein #E [P j ,P i ]Representing the set E [ P ] j ,P i ]Number of elements in #E # - [P i ]Representing the set E [ P ] i ]The number of elements in (a); according to the association relationship between the parts shown in fig. 6a, in this example, there are:
(2) we define:
in the change transfer process, for the parent part P i When it haskWhen the child parts forming the And relation are formed, the complexity of the formed association path is that
For parent part P i When it haskWhen the child parts form the propagation relation of OR relation, the formed association path has the complexity of
The associated path complexity in this example is thus as shown in FIG. 6a
When there are multiple associated paths, the complexity of each path needs to be compared, and the more the complexity is, the more the affected size is, the more the modification is, so that the associated path with small complexity is selected.
Step 12: establishing a size association matrix of the parent part and the child part thereof based on the final part association path shown in fig. 6b, wherein part of the size association matrix is shown in tables 4-6;
TABLE 4 part P 2 And part P 1 Size association matrix
TABLE 5 part P 1 And part P 4 Size association matrix
TABLE 6 part P 4 And part P 5 Size association matrix
Step 13: representing the initial change size of the parent by vectors, and respectively performing inner product operation on each row vector of the size association matrix of the parent part and the child part thereof to obtain the affected child size; for example, in branch 1 as shown in fig. 6b, the parent part is P 2 The offspring part is P 1 To obtain the dimension P 2,1 Can be used with vector [1,0,0,0,0,0 ]]Respectively, do inner product operation with each row vector in Table 4, because
[1,0,0,0,0,0]
Then part P is obtained 2 With progeny part P 1 In the path, P 2,1 Affected P 1 Size P 1,1
Step 14: taking the affected dimension of the offspring as a new parent change dimension, repeating the step 13, and iterating to obtain a related dimension change propagation path between parts, as shown in fig. 7;
step 15: the propagation of dimensional changes within the part is analyzed. To the affected part P 1 For example, first for P 1 Performing structural analysis, establishing a tree control for expressing the structural association relation of the tree control, such as a modeling step column of a table 7, and establishing a size change path unit corresponding to a modeling process presented by the tree control, such as a size change path unit column of the table 7;
step 16: let P be 1 Is of initial modification size P 1,13 Searching the size change path unit column in the table 7 for the size change path unit related to the size change path unit column and taking the size change path unit column as a first layer size related path;
step 17: repeating step 16 with the child feature size in the first level change path unit as the parent feature size until the child feature size is the parent feature size that has been changed, and terminating the change; forming a propagation path inside the part for the dimensional change. The specific process is as follows:
as shown in fig. 8, first, the change path cell column search and the initial change size P are set in table 12 1,13 The related change propagation unit obtains (1) (as shown in fig. 8), and for convenience of operation, changes (1) into the form of (2), wherein the child node in (2) is P 1,1 ,P 1,11 Change path cell column search and P in Table 12 1,1 The relevant propagation units (3) and (4) (as shown in fig. 8), since (4) and (1) are the same, neglecting (4), combining (2) and (3) can result in propagation path (5); the above-described process is repeated, and a final propagation path can be obtained as shown in (7) of fig. 8.
TABLE 7 part P 1 Modeling and path element synchronous generation process of (a)

Claims (1)

1. A method for generating a dimension change propagation path in a change design is characterized by comprising the steps of: the method comprises the following steps:
step 1: establishing a product part set P= [ P ] i ];
Step 2: establishing the dimension parameter set E [ P ] of each part i ]= [P i,1 , P i,2 , .....,P i n, ],P i j, Representing partsiIs the first of (2)jA size parameter;
step 3: build part P i To part P j Is related to the set of dimension parameters E [ P ] j , P i ]= [P i,k1 ,P i,k2 , .....,P i,km ]The set is when the part P i When changing, will be to part P j P with influence of dimensional parameters i Is set of dimensional parameters of the (c) in the drawing,k m is P i The number of related parameters;
step 4: according to the size association relation among all the parts participating in the association change, E [ P ] j , P i ]Based on the above, a part-part association set value matrix A= [ a ] is established ji ]In the matrix, columns represent the initial change parts, rows represent the affected parts, and each element in the matrix represents the initial change part P i For the affected part P j Generating an affected set of dimensional parameters;
step 5: in the part-part association set value matrix A= [ a ] ji ]On the basis of the above, the columns of the matrix are expanded from the changing part to the dimension parameters of the part, and the matrix is binary converted, wherein the column parameters are respectively represented by 0 and 1 in the matrix, so that the column parameters have no influence on the row part and have influence on the row part, and an intermediate conversion set value matrix B= [ B ] is established ji ];
Step 6: from an intermediate conversion set value matrixB, converting the value matrix into a numerical matrix, and establishing a part size parameter-part association numerical matrix C= [ C ] ij ];
Step 7: selecting the first of the numerical matrices CjThe row part being the initial change part, i.e. the parent part being P j Reading matrix CjNon-zero vector in column, row part corresponding to non-zero vector is P j Affected offspring parts;
step 8: performing AND operation on vectors of the affected child parts in the column in pairs to identify whether common parent part influence parameters exist among the child parts, determining an AND or logic relationship among the child parts, and establishing a layer of association network;
step 9: repeating the step 7 by taking the child node of the association network as a modified part, and performing iterative search;
step 10: when a part which is repeated with a parent node appears on one branch in the path, the searching of the branch is stopped; all branch searches are stopped, and a correlation network among parts is formed;
step 11: calculating the size transfer complexity of each path in the part association network, and selecting one with the lowest complexity as a final part association path;
step 12: establishing a size association matrix of adjacent male and female parts in part association pathsWherein the method comprises the steps ofmIs part P q Is used for the number of dimensional parameters of (a),nis part P e Is a number of dimensional parameters of (a); in the matrix, if part P q Is the first of (2)jThe individual dimensional parameters will be specific to part P e Is the first of (2)iThe influence of the size parameter is d ij =1, otherwise d ij =0;
Step 13: let P be q Middle (f)iThe size parameter is changed size bymDimension unit vector e i And matrix D (P e ,P q ) Each row of the two rows is respectively subjected to inner product operation to obtain P q Middle (f)iP affected by the size parameters e Is a set of dimensions of (a);
step 14: taking the affected dimension of the offspring as a new parent change dimension, repeating the step 13, and iterating to obtain a related dimension change propagation path between parts;
step 15: carrying out structural analysis on the affected part, establishing a tree-shaped control expressing the structural association relation of the affected part, and establishing a size change path unit corresponding to the modeling process presented by the tree-shaped control;
step 16: defining the initial change size of the part as a parent feature size, searching a size change path unit related to the size change path unit, and taking the size change path unit as a first-layer size association path;
step 17: repeating the step 16 with the child feature size in the first-layer size association unit as the parent feature size until the child feature size is the parent feature size that has been changed, and ending the change; forming a propagation path inside the part for the dimensional change.
CN201911049968.2A 2019-10-31 2019-10-31 Method for generating dimension change propagation path in change design Active CN110941883B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911049968.2A CN110941883B (en) 2019-10-31 2019-10-31 Method for generating dimension change propagation path in change design

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911049968.2A CN110941883B (en) 2019-10-31 2019-10-31 Method for generating dimension change propagation path in change design

Publications (2)

Publication Number Publication Date
CN110941883A CN110941883A (en) 2020-03-31
CN110941883B true CN110941883B (en) 2023-07-25

Family

ID=69906173

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911049968.2A Active CN110941883B (en) 2019-10-31 2019-10-31 Method for generating dimension change propagation path in change design

Country Status (1)

Country Link
CN (1) CN110941883B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112734922A (en) * 2021-01-12 2021-04-30 中铁工程设计咨询集团有限公司 Three-dimensional design method for railway subgrade
CN113704925B (en) * 2021-09-07 2023-08-01 济南大学 Design quality characteristic fluctuation tracing path analysis method and system based on association network

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101840456A (en) * 2010-04-29 2010-09-22 北京理工大学 Product design change impact analysis method based on interface association model
CN105956320A (en) * 2016-05-19 2016-09-21 同济大学 Engine design product digital ecological systematic modeling and storing method
CN106055742A (en) * 2016-05-19 2016-10-26 同济大学 Method for product self-adaption design modification based on design entropy
CN106326610A (en) * 2016-11-04 2017-01-11 山东大学 Design network based design alterationpropagation predicting method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101840456A (en) * 2010-04-29 2010-09-22 北京理工大学 Product design change impact analysis method based on interface association model
CN105956320A (en) * 2016-05-19 2016-09-21 同济大学 Engine design product digital ecological systematic modeling and storing method
CN106055742A (en) * 2016-05-19 2016-10-26 同济大学 Method for product self-adaption design modification based on design entropy
CN106326610A (en) * 2016-11-04 2017-01-11 山东大学 Design network based design alterationpropagation predicting method and system

Also Published As

Publication number Publication date
CN110941883A (en) 2020-03-31

Similar Documents

Publication Publication Date Title
CN103116639B (en) Based on article recommend method and the system of user-article bipartite graph model
CN105550268B (en) Big data process modeling analysis engine
CN110941883B (en) Method for generating dimension change propagation path in change design
CN111582509A (en) Knowledge graph representation learning and neural network based collaborative recommendation method
CN112256981A (en) Rumor detection method based on linear and nonlinear propagation
CN110888859A (en) Connection cardinality estimation method based on combined deep neural network
CN115794447B (en) Grid data transmission method for multi-physical field coupling
CN113688869A (en) Photovoltaic data missing reconstruction method based on generation countermeasure network
CN111709523A (en) Width learning method based on internal integration
CN103106313B (en) Roll consequent order reconstructing method
CN104408096A (en) Community detection method based on information bottleneck theory
CN113890042B (en) Load flow calculation method based on active power distribution network
CN104679732A (en) Syntax tree similarity calculation method based on fuzzy tree kernel
CN106055742B (en) Product adaptive design based on design entropy changes method
CN115146408A (en) Machine tool structural member forward design method based on three-fork-element structure
CN105956320A (en) Engine design product digital ecological systematic modeling and storing method
Davidson et al. Distance-based phylogenetic methods around a polytomy
CN108256251B (en) High-symmetry cable-strut structure shape finding method considering mechanical balance of datum points
Zou et al. Combining tensor decomposition and word embedding for asymmetrical relationship prediction in knowledge graphs
Yamada et al. A method of kansei acquisition to 3D shape design and its application
JPH08297693A (en) Device and method for preparing assembly order
KR20210084115A (en) 3D Point Cloud Reliability Determining System and Method
CN109992594A (en) Distributed based on precomputation optimization executes optimization method and system
CN114791983B (en) Sequence recommendation method based on time sequence article similarity
CN112905591B (en) Data table connection sequence selection method based on machine learning

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
GR01 Patent grant
GR01 Patent grant