CN112749479A - Method and device for optimizing mold structure - Google Patents
Method and device for optimizing mold structure Download PDFInfo
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- CN112749479A CN112749479A CN202011482047.8A CN202011482047A CN112749479A CN 112749479 A CN112749479 A CN 112749479A CN 202011482047 A CN202011482047 A CN 202011482047A CN 112749479 A CN112749479 A CN 112749479A
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000005457 optimization Methods 0.000 claims abstract description 48
- 230000007547 defect Effects 0.000 claims abstract description 32
- 239000000463 material Substances 0.000 claims abstract description 19
- 230000003993 interaction Effects 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims description 10
- 238000004088 simulation Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 abstract description 11
- 238000004590 computer program Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012356 Product development Methods 0.000 description 2
- 241001122767 Theaceae Species 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 229910000838 Al alloy Inorganic materials 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010791 quenching Methods 0.000 description 1
- 230000000171 quenching effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The application discloses an optimization method and device of a mold structure, which are applied to a knowledge model server, wherein the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, and the plurality of model base servers respectively store corresponding relations between a plurality of different mold information and defect information, and the method comprises the following steps: the method comprises the steps of receiving first mould information sent by a control end, wherein the control end is used for generating the first mould information according to instruction operation of a user on a man-machine interaction interface, the first mould information comprises a mould drawing and a mould three-dimensional graph, matching address information of a corresponding target model base according to the first mould information, matching defect information corresponding to the mould information and optimization information corresponding to the defect information in the target model base according to the address information of the target model base, and generating second mould information according to the optimization information and the first mould information. The automatic optimization of the mold design is realized, the optimization efficiency is high, and the consumption of manpower and material resources is less.
Description
Technical Field
The application relates to the technical field of die design and manufacturing knowledge management, in particular to a method and a device for optimizing a die structure.
Background
The mould is an industrial product which is formed by a certain mode of material forming in a specific structural form, and is a production tool which can produce industrial product parts with certain shape and size requirements in batches. Almost all industrial products, as big as airplanes and automobiles, as small as tea cups and nails, must be formed by means of molds. The high precision, consistency and productivity of the product produced by the mold are incomparable with any other processing method. The mold determines to a large extent the quality, the benefit of the product and the new product development capacity. Therefore, the mold has the honor name of "industrial mother".
In the prior art, the optimization of the mold design is simply realized through intellectual activities by a user, the mode is low in efficiency, and more manpower and material resources are required to be consumed.
Disclosure of Invention
The technical problem that this application embodiment will solve lies in, solves in prior art, and the simple dependence user of the optimization of die design realizes through the intellectual activity, and this mode is inefficient, and need consume the problem of more manpower and material resources.
In order to solve the above problem, an embodiment of the present application provides a method for optimizing a mold structure, which is applied to a knowledge model server, where the knowledge model server is connected to a control end, the knowledge model server is connected to a plurality of model base servers, and a plurality of corresponding relationships between different mold information and defect information are stored in each of the plurality of model base servers, and the method includes:
receiving first mold information sent by the control end, wherein the control end is used for generating the first mold information according to instruction operation of a user on a human-computer interaction interface, and the first mold information comprises a mold drawing and a mold three-dimensional graph;
matching address information of a corresponding target model library according to the first mould information;
according to the address information of the target model base, matching defect information corresponding to the mould information and optimization information corresponding to the defect information in the target model base;
and generating second mould information according to the optimization information and the first mould information.
Further, after generating the second mold information according to the optimization information and the first mold information, the method includes:
and generating a three-dimensional model according to the second mould information, and sending the three-dimensional model of the recommended mould to the control end, wherein the control end is used for displaying the three-dimensional model of the recommended mould to a user.
Further, the first mold information includes requirement information, the requirement information includes mold strength, mold stiffness, and mold usage environment, and after generating the second mold information according to the optimization information and the first mold information, the method includes:
judging whether the second mold information meets the requirement information;
and when the second mold information of the recommended mold does not meet the requirement information, optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information.
Further, after generating the second mold information according to the optimization information and the first mold information, the method includes:
and according to the second mould information, quickly generating the size and the position of the mould hole of the mould.
Further, the model libraries comprise a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge library and a process library.
An optimization device of a mold structure is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, and the plurality of model base servers respectively store corresponding relations between a plurality of different mold information and defect information, and the device comprises:
the first mould information receiving module is used for receiving first mould information sent by the control end, the control end is used for generating first mould information according to instruction operation of a user on a man-machine interaction interface, and the first mould information comprises a mould drawing and a mould three-dimensional graph;
the address information matching module is used for matching the address information of the corresponding target model library according to the first mould information;
the optimization information matching module is used for matching the defect information corresponding to the mould information and the optimization information corresponding to the defect information in the target model library according to the address information of the target model library;
and the second mould information generating module is used for generating second mould information according to the optimization information and the first mould information.
Further, the apparatus further comprises:
and the three-dimensional model generation module is used for generating a three-dimensional model according to the second mould information and sending the three-dimensional model of the recommended mould to the control end, and the control end is used for displaying the three-dimensional model of the recommended mould to a user.
Further, the first mold information includes requirement information, the requirement information includes mold strength, mold stiffness, and mold usage environment, and the apparatus further includes:
the judging module is used for judging whether the second die information meets the requirement information;
and the third mold information generating module is used for optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information when the second mold information of the recommended mold does not meet the requirement information.
Further, the apparatus further comprises:
and the die hole position generating module is used for quickly generating the size and the position of the die hole of the die according to the second die information.
Further, the model libraries comprise a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge library and a process library.
Compared with the prior art, the method is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, corresponding relations between a plurality of different pieces of mold information and defect information are stored in the plurality of model base servers respectively, the control end is used for generating the first mold information according to instruction operation of a user on a man-machine interaction interface by receiving the first mold information sent by the control end, the first mold information comprises a mold drawing and a mold three-dimensional graph, the address information of a corresponding target model base is matched according to the first mold information, the defect information corresponding to the mold information and optimization information corresponding to the defect information are matched in the target model base according to the address information of the target model base, and second mold information is generated according to the optimization information and the first mold information. The automatic optimization of the mold design is realized, the optimization efficiency is high, and the consumption of manpower and material resources is less.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a system for optimizing a mold structure;
FIG. 2 is a schematic flow chart illustrating a method for optimizing a mold structure according to an exemplary embodiment;
FIG. 3 is a diagram of a model library provided by an embodiment;
fig. 4 is a schematic structural diagram of an apparatus for optimizing a mold structure according to an embodiment.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The mould is an industrial product which is formed by a certain mode of material forming in a specific structural form, and is a production tool which can produce industrial product parts with certain shape and size requirements in batches. Almost all industrial products, as big as airplanes and automobiles, as small as tea cups and nails, must be formed by means of molds. The high precision, consistency and productivity of the product produced by the mold are incomparable with any other processing method. The mold determines to a large extent the quality, the benefit of the product and the new product development capacity. Therefore, the mold has the honor name of "industrial mother".
In the prior art, the optimization of the mold design is simply realized through intellectual activities by a user, the mode is low in efficiency, and more manpower and material resources are required to be consumed.
To solve the above problem, as shown in fig. 1, an architecture diagram of an optimization system of a mold structure according to an embodiment is provided, including: the knowledge model server 1, the control end 2 and a plurality of model base servers 3. The knowledge model server 1 is connected to the control terminal 2 and the model library server 3, respectively, and the connection may be an electrical connection or a wireless connection. In an embodiment, first mold information is received and sent by a control end, the control end is used for generating the first mold information according to instruction operation of a user on a human-computer interaction interface, the first mold information comprises a mold drawing and a mold three-dimensional graph, address information of a corresponding target model base is matched according to the first mold information, defect information corresponding to the mold information and optimization information corresponding to the defect information are matched in the target model base according to the address information of the target model base, and second mold information is generated according to the optimization information and the first mold information. The automatic optimization of the mold design is realized, the optimization efficiency is high, and the consumption of manpower and material resources is less.
In one embodiment, a method for optimizing a mold structure is provided. The method of this embodiment may be directed to an aluminum profile mold, or may be directed to other molds, which is not limited in this embodiment, and this embodiment is illustrated by the method being executed by a computer device, where the computer device may specifically be the knowledge model server 1 in fig. 1. As shown in fig. 2, the knowledge model server is connected to the control end, the knowledge model server is connected to a plurality of model base servers, and a plurality of corresponding relationships between different mold information and defect information are stored in the plurality of model base servers, respectively, and the method for optimizing the mold structure includes the following steps:
in an embodiment of the present application, as shown in fig. 3, the plurality of model libraries include a design knowledge library, a structure library, a material library, a simulation result library and a process library, wherein the design knowledge library includes a function requirement library, a drawing paper library, a three-dimensional model library and an extruder parameter library, the structure library includes a profile section graph library, a mold structure library and a standard structure library, the material library includes an aluminum alloy type library and an auxiliary material library, the simulation result knowledge library includes stress-strain distribution, displacement distribution, temperature distribution, metal flow rate publication and force-stroke curves, and the process library includes an ingot heating temperature library, an extrusion speed library, an on-machine quenching library, a tension straightening library, an artificial aging library and an ingot size specification library.
Drawing model library, three-dimensional model library, structure library, material library, simulation result library and process library.
when the model is designed, a user can carry out instruction operation on a human-computer interaction interface, such as inputting characters, and after the control end recognizes that the user carries out the instruction operation on the human-computer interaction interface, first mould information can be generated, wherein the first mould information comprises a mould drawing and a mould three-dimensional graph, and the first mould information is sent to a knowledge model server;
in an embodiment of the present application, step 202 includes:
substep S11, generating one or more keyword information according to the demand information;
substep S12, searching a target model library matching the one or more keyword information at the same time;
and a substep S13 of obtaining address information of the target model library.
and 204, generating second mold information according to the optimization information and the first mold information.
In an embodiment of the present application, after the step 204, the method includes:
and generating a three-dimensional model according to the second mould information, and sending the three-dimensional model of the recommended mould to the control end, wherein the control end is used for displaying the three-dimensional model of the recommended mould to a user.
In an embodiment of the present application, the first mold information includes requirement information, where the requirement information includes mold strength, mold stiffness, and mold usage environment, and after step 204, the method includes:
judging whether the second mold information meets the requirement information;
and when the second mold information of the recommended mold does not meet the requirement information, optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information.
In an embodiment of the present application, the first mold information includes requirement information, where the requirement information includes mold strength, mold stiffness, and mold usage environment, and after step 204, the method includes:
and according to the second mould information, quickly generating the size and the position of the mould hole of the mould.
Compared with the prior art, the method is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, corresponding relations between a plurality of different pieces of mold information and defect information are stored in the plurality of model base servers respectively, the control end is used for generating the first mold information according to instruction operation of a user on a man-machine interaction interface by receiving the first mold information sent by the control end, the first mold information comprises a mold drawing and a mold three-dimensional graph, the address information of a corresponding target model base is matched according to the first mold information, the defect information corresponding to the mold information and optimization information corresponding to the defect information are matched in the target model base according to the address information of the target model base, and second mold information is generated according to the optimization information and the first mold information. The automatic optimization of the mold design is realized, the optimization efficiency is high, and the consumption of manpower and material resources is less.
In another embodiment, an apparatus for optimizing a mold structure is provided, which is applied to a knowledge model server, the knowledge model server is connected to a control end, the knowledge model server is connected to a plurality of model base servers, and a plurality of correspondence relationships between different mold information and defect information are stored in each of the plurality of model base servers, as shown in fig. 4, the apparatus includes:
the first mold information receiving module 401 is configured to receive first mold information sent by the control end, where the control end is configured to generate first mold information according to an instruction operation of a user on a human-computer interaction interface, and the first mold information includes a mold drawing and a mold three-dimensional graph;
an address information matching module 402, configured to match address information of a corresponding target model library according to the first mold information;
an optimization information matching module 403, configured to match, according to the address information of the target model library, defect information corresponding to the mold information and optimization information corresponding to the defect information in the target model library;
a second mold information generating module 404, configured to generate second mold information according to the optimization information and the first mold information.
In an embodiment of the present application, the apparatus further includes:
and the three-dimensional model generation module is used for generating a three-dimensional model according to the second mould information and sending the three-dimensional model of the recommended mould to the control end, and the control end is used for displaying the three-dimensional model of the recommended mould to a user.
In an embodiment of the present application, the first mold information includes requirement information, the requirement information includes mold strength, mold stiffness, and mold usage environment, and the apparatus further includes:
the judging module is used for judging whether the second die information meets the requirement information;
and the third mold information generating module is used for optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information when the second mold information of the recommended mold does not meet the requirement information.
In an embodiment of the present application, the apparatus further includes:
and the die hole position generating module is used for quickly generating the size and the position of the die hole of the die according to the second die information.
In an embodiment of the present application, the plurality of model libraries include a drawing library, a three-dimensional library, a structure library, a material library, a simulation result knowledge library, and a process library.
Compared with the prior art, the method is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, corresponding relations between a plurality of different pieces of mold information and defect information are stored in the plurality of model base servers respectively, the control end is used for generating the first mold information according to instruction operation of a user on a man-machine interaction interface by receiving the first mold information sent by the control end, the first mold information comprises a mold drawing and a mold three-dimensional graph, the address information of a corresponding target model base is matched according to the first mold information, the defect information corresponding to the mold information and optimization information corresponding to the defect information are matched in the target model base according to the address information of the target model base, and second mold information is generated according to the optimization information and the first mold information. The automatic optimization of the mold design is realized, the optimization efficiency is high, and the consumption of manpower and material resources is less.
In an embodiment, there is provided an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the steps of a method for optimizing a mold structure as in the above embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, which is characterized by comprising a stored computer program, wherein the computer program, when running, controls an apparatus in which the computer-readable storage medium is located to perform the steps of the method for optimizing a mold structure as in the above embodiments.
The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. The method for optimizing the mold structure is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, and the plurality of model base servers respectively store corresponding relations between a plurality of different mold information and defect information, and the method comprises the following steps:
receiving first mold information sent by the control end, wherein the control end is used for generating the first mold information according to instruction operation of a user on a human-computer interaction interface, and the first mold information comprises a mold drawing and a mold three-dimensional graph;
matching address information of a corresponding target model library according to the first mould information;
according to the address information of the target model base, matching defect information corresponding to the mould information and optimization information corresponding to the defect information in the target model base;
and generating second mould information according to the optimization information and the first mould information.
2. The method for optimizing the mold structure according to claim 1, wherein the step of generating the second mold information based on the optimization information and the first mold information comprises:
and generating a three-dimensional model according to the second mould information, and sending the three-dimensional model of the recommended mould to the control end, wherein the control end is used for displaying the three-dimensional model of the recommended mould to a user.
3. The method of claim 1, wherein the first mold information includes requirement information, the requirement information includes mold strength, mold stiffness, and mold usage environment, and the generating of the second mold information according to the optimization information and the first mold information includes:
judging whether the second mold information meets the requirement information;
and when the second mold information of the recommended mold does not meet the requirement information, optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information.
4. The method for optimizing the mold structure according to claim 1, wherein the step of generating the second mold information based on the optimization information and the first mold information comprises:
and according to the second mould information, quickly generating the size and the position of the mould hole of the mould.
5. The method of claim 1, wherein the plurality of model libraries comprises a drawing library, a three-dimensional library, a structural library, a materials library, a simulation results knowledge library, and a process library.
6. An optimization device of a mold structure is applied to a knowledge model server, the knowledge model server is connected with a control end, the knowledge model server is connected with a plurality of model base servers, and a plurality of corresponding relations between different mold information and defect information are respectively stored in the plurality of model base servers, the device comprises:
the first mould information receiving module is used for receiving first mould information sent by the control end, the control end is used for generating first mould information according to instruction operation of a user on a man-machine interaction interface, and the first mould information comprises a mould drawing and a mould three-dimensional graph;
the address information matching module is used for matching the address information of the corresponding target model library according to the first mould information;
the optimization information matching module is used for matching the defect information corresponding to the mould information and the optimization information corresponding to the defect information in the target model library according to the address information of the target model library;
and the second mould information generating module is used for generating second mould information according to the optimization information and the first mould information.
7. The apparatus for optimizing a mold structure according to claim 6, further comprising:
and the three-dimensional model generation module is used for generating a three-dimensional model according to the second mould information and sending the three-dimensional model of the recommended mould to the control end, and the control end is used for displaying the three-dimensional model of the recommended mould to a user.
8. The apparatus for optimizing mold structure according to claim 6, wherein the first mold information includes requirement information, the requirement information includes mold strength, mold stiffness, and mold usage environment, and the apparatus further comprises:
the judging module is used for judging whether the second die information meets the requirement information;
and the third mold information generating module is used for optimizing and adjusting the three-dimensional model according to the requirement information to generate third mold information when the second mold information of the recommended mold does not meet the requirement information.
9. The apparatus for optimizing a mold structure according to claim 6, further comprising:
and the die hole position generating module is used for quickly generating the size and the position of the die hole of the die according to the second die information.
10. The apparatus of claim 6, wherein the plurality of model libraries comprises a drawing library, a three-dimensional library, a structural library, a materials library, a simulation results knowledge library, and a process library.
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| CN202011482047.8A CN112749479A (en) | 2020-12-14 | 2020-12-14 | Method and device for optimizing mold structure |
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| CN202011482047.8A CN112749479A (en) | 2020-12-14 | 2020-12-14 | Method and device for optimizing mold structure |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5900259A (en) * | 1995-06-06 | 1999-05-04 | Niigata Engineering Co., Ltd. | Molding condition optimizing system for injection molding machine |
| CN103389682A (en) * | 2013-07-25 | 2013-11-13 | 苏州市阳帆软件有限公司 | Digital model rapid-repairing and intelligent numerical control programming system oriented to die manufacture |
| CN107491600A (en) * | 2017-08-04 | 2017-12-19 | 华北理工大学 | A kind of method for optimizing punching process parameter |
-
2020
- 2020-12-14 CN CN202011482047.8A patent/CN112749479A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5900259A (en) * | 1995-06-06 | 1999-05-04 | Niigata Engineering Co., Ltd. | Molding condition optimizing system for injection molding machine |
| CN103389682A (en) * | 2013-07-25 | 2013-11-13 | 苏州市阳帆软件有限公司 | Digital model rapid-repairing and intelligent numerical control programming system oriented to die manufacture |
| CN107491600A (en) * | 2017-08-04 | 2017-12-19 | 华北理工大学 | A kind of method for optimizing punching process parameter |
Non-Patent Citations (2)
| Title |
|---|
| 冯伟等: "塑料注射缺陷修正的模糊建模方法", 《中国机械工程》 * |
| 岳潼雁: "基于知识的管材挤出模头智能化设计与研究", 《中国优秀硕士论文电子期刊网》 * |
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Application publication date: 20210504 |