CN111159147A - Entire impeller milling process knowledge base model based on Teamcenter platform - Google Patents
Entire impeller milling process knowledge base model based on Teamcenter platform Download PDFInfo
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- CN111159147A CN111159147A CN201911252564.3A CN201911252564A CN111159147A CN 111159147 A CN111159147 A CN 111159147A CN 201911252564 A CN201911252564 A CN 201911252564A CN 111159147 A CN111159147 A CN 111159147A
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- 238000003801 milling Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 claims abstract description 71
- 230000008569 process Effects 0.000 claims abstract description 57
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 238000010586 diagram Methods 0.000 description 13
- 238000003754 machining Methods 0.000 description 5
- 238000005520 cutting process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000012809 cooling fluid Substances 0.000 description 1
- 239000000110 cooling liquid Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000003746 surface roughness Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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Abstract
The invention discloses an integral impeller milling process knowledge base model based on a Teamcenter platform, which comprises the following steps: classifying process knowledge information; milling knowledge base data composition; milling an integral framework of a knowledge base; and generating a process template file. According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the entire impeller milling sample plate process can be automatically generated, and the intelligentization level of the entire impeller milling sample plate process is favorably improved.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to an integral impeller milling process knowledge base model based on a Teamcenter platform.
Background
In the prior art, the intellectualization level of the whole impeller milling sample plate process is not high, and the production efficiency of process manufacturing is seriously influenced. Therefore, there is room for improvement in the above-described technology.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention aims to provide an integral impeller milling process knowledge base model based on a Teamcenter platform, which can realize automatic generation of an integral impeller milling template process and is beneficial to improving the intelligent level of the integral impeller milling template process.
The knowledge base model of the entire impeller milling process based on the Teamcenter platform comprises the following steps: classifying process knowledge information; milling knowledge base data composition; milling an integral framework of a knowledge base; and generating a process template file.
According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the entire impeller milling sample plate process can be automatically generated, and the intelligentization level of the entire impeller milling sample plate process is favorably improved.
According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the process knowledge information classification comprises the following steps: manufacturing equipment resource knowledge, process recipe knowledge, and decision-making knowledge.
According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the milling knowledge base data composition comprises the following steps: machine tool information, workpiece information, process information, and process parameters.
According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the entire framework of the milling knowledge base comprises the following components: the system comprises an interface layer, an application layer, a platform layer and a data layer.
According to the entire impeller milling process knowledge base model based on the Teamcenter platform, the process template file is generated by finishing the process knowledge information classification, the milling knowledge base data composition and the milling knowledge base entire frame composition.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow diagram of the composition of a Teamcenter platform based integrated impeller milling process knowledge base model according to an embodiment of the present invention;
FIG. 2 is a schematic composition diagram of process knowledge information classification according to an embodiment of the invention;
FIG. 3 is a schematic diagram of milling knowledge base data composition according to an embodiment of the invention;
FIG. 4 is a schematic diagram of the composition of the milling knowledge base overall framework according to an embodiment of the invention;
FIG. 5 is a compositional schematic of manufacturing equipment resource knowledge according to an embodiment of the present invention;
FIG. 6 is a schematic compositional view of knowledge of a process scheme according to an embodiment of the present invention;
FIG. 7 is a compositional diagram of decision-making knowledge according to an embodiment of the invention;
FIG. 8 is a schematic diagram of the composition of machine tool information according to an embodiment of the invention;
FIG. 9 is a schematic diagram of the composition of tool information according to an embodiment of the invention;
FIG. 10 is a schematic diagram of the composition of workpiece information according to an embodiment of the invention;
FIG. 11 is a schematic diagram of the composition of process information according to an embodiment of the invention;
FIG. 12 is a schematic compositional view of process parameters according to an embodiment of the present disclosure;
fig. 13 is a schematic composition diagram of an interfacial layer according to an embodiment of the present invention;
FIG. 14 is a schematic diagram of the composition of an application layer according to an embodiment of the invention;
FIG. 15 is a schematic diagram of the composition of a platform layer according to an embodiment of the invention;
FIG. 16 is a schematic diagram of the composition of a data layer according to an embodiment of the invention.
Reference numerals:
100-entire impeller milling process knowledge base model based on the Teamcenter platform, 1-process knowledge information classification, 11-manufacturing equipment resource knowledge, 112-machine tool base, 113-tool base, 12-process scheme knowledge, 121-process information base, 122-process information base, 123-process step information base, 124-associated information base, 13-decision knowledge, 131-tool rule base, 132-parameter rule base, 2-milling knowledge base data composition, 21-machine tool information, 211-machine tool type, 212-spindle power, 213-machine tool cutting force, 214-feed speed, 215-spindle rotational speed, 22-tool information, 221-tool brand, 223-tool taper, 224-clamping length, 225-tool life, 226-tool tooth number, 23-workpiece information, 231-workpiece name, 232-workpiece structure, 233-workpiece size, 234-dimensional accuracy, 235-surface roughness, 24-process information, 241-machining stage, 242-machining mode, 243-machining strategy, 244-cooling liquid, 25-process parameters, 251-spindle rotation speed, 252-feed, 253-axial cutting depth, 254-radial cutting depth, 255-machining allowance, 3-milling knowledge base integral frame composition, 31-interface layer, 311-Teamcenter secondary development plug-in interface, 32-application layer, 321-process route planning, 322-process parameter decision, 323-process resource management, 33-platform layer, 331-Teamcenter platform, 34-data layer, 341-process route case library, 342-process type library, 343-manufacturing resource library, and 4-generation of process template file.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the invention.
A Teamcenter platform based global impeller milling process knowledge base model 100 according to an embodiment of the present invention is described below with reference to fig. 1-16. As shown in fig. 1, a Teamcenter platform based integrated impeller milling process knowledge base model 100 according to an embodiment of the present invention may include: the method comprises the steps of process knowledge information classification 1, milling knowledge base data composition 2, milling knowledge base integral framework composition 3 and process template file generation 4.
According to the entire impeller milling process knowledge base model 100 based on the Teamcenter platform, the entire impeller milling template process can be automatically generated, and the intelligentization level of the entire impeller milling template process is favorably improved.
According to the entire impeller milling process knowledge base model 100 based on the Teamcenter platform in one embodiment of the present invention, as shown in fig. 2, the process knowledge information classification 1 may include: manufacturing equipment resource knowledge 11, process recipe knowledge 12, and decision-making knowledge 13. Specifically, as shown in FIG. 5, manufacturing equipment resource knowledge 11 may include a tool library 112 and a tool library 113. Further, as shown in FIG. 6, the process recipe knowledge 12 may include a process information base 121, a process information base 122, a process step information base 123, and an associated information base 124. Further, as shown in FIG. 7, the decision-making knowledge 13 may include a tool rule base 131 and a parameter rule base 132.
According to the entire impeller milling process knowledge base model 100 based on the Teamcenter platform in one embodiment of the present invention, as shown in fig. 3, the milling knowledge base data component 2 may include: machine tool information 21, tool information 22, workpiece information 23, process information 24, and process parameters 25. Specifically, as shown in fig. 8, the machine tool information 21 may include a machine tool type 211, a spindle power 212, a machine tool cutting force 213, a feed speed 214, and a spindle rotational speed 215. Further, as shown in fig. 9, the tool information 22 may include a tool brand 221, a tool taper 223, a chuck length 224, a tool life 225, and a tool tooth count 226. Further, as shown in fig. 10, the workpiece information 23 may include a workpiece name 231, a workpiece structure 232, a workpiece size 233, a size precision 234, and a surface roughness 235. Further, as shown in fig. 11, the process information 24 may include a process stage 241, a process mode 242, a process strategy 243, and a cooling fluid 244. Further, as shown in fig. 12, the process parameters 25 may include spindle speed 251, feed 252, axial depth of cut 253, radial depth of cut 254, and machining allowance 255.
According to the entire wheel milling process knowledge base model 100 based on the Teamcenter platform in one embodiment of the present invention, as shown in fig. 4, the milling knowledge base entire framework component 3 may include: an interface layer 31, an application layer 32, a platform layer 33, and a data layer 34. Further, as shown in FIG. 13, the interface layer 31 may include a Teamcenter second development plug-in interface 311. Further, as shown in FIG. 14, the application layer 32 may include process routing 321, process parameter decisions 322, and process resource management 323. Further, as shown in FIG. 15, the platform layer 33 may include a Teamcenter platform 331. Further, as shown in FIG. 16, the data layer 34 may include a process route case library 341, a process species library 342, and a manufacturing resources library 343.
According to the entire impeller milling process knowledge base model 100 based on the Teamcenter platform, as shown in fig. 1, the process template file is generated 4 by completing the process knowledge information classification 1, the milling knowledge base data composition 2 and the milling knowledge base entire frame composition 3, so that the entire impeller milling template process can be automatically generated.
In conclusion, the entire impeller milling process knowledge base model 100 based on the Teamcenter platform according to the present invention can realize the automatic generation of the entire impeller milling template process, and is beneficial to improving the intelligent level of the entire impeller milling template process.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (5)
1. A whole impeller milling process knowledge base model based on a Teamcenter platform is characterized by comprising the following steps:
classifying process knowledge information;
milling knowledge base data composition;
milling an integral framework of a knowledge base;
and generating a process template file.
2. The Teamcenter platform based integrated impeller milling process knowledge base model of claim 1, wherein the process knowledge information classification comprises: manufacturing equipment resource knowledge, process recipe knowledge, and decision-making knowledge.
3. The Teamcenter platform based integrated impeller milling process knowledge base model of claim 1, wherein the milling knowledge base data composition comprises: machine tool information, workpiece information, process information, and process parameters.
4. The Teamcenter platform based integrated impeller milling process knowledge base model of claim 1, wherein the milling knowledge base integrated framework composition comprises: the system comprises an interface layer, an application layer, a platform layer and a data layer.
5. The Teamcenter platform based integrated impeller milling process knowledge base model as claimed in claim 1, wherein the generation of the process template file is achieved by completing the process knowledge information classification, the milling knowledge base data composition and the milling knowledge base integrated framework composition.
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| CN201911252564.3A CN111159147A (en) | 2019-12-09 | 2019-12-09 | Entire impeller milling process knowledge base model based on Teamcenter platform |
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| CN201911252564.3A CN111159147A (en) | 2019-12-09 | 2019-12-09 | Entire impeller milling process knowledge base model based on Teamcenter platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113341874A (en) * | 2021-06-07 | 2021-09-03 | 大连理工大学 | Turning parameter automatic loading method based on hybrid reasoning |
Citations (2)
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|---|---|---|---|---|
| US5377116A (en) * | 1991-07-01 | 1994-12-27 | Valenite Inc. | Method and system for designing a cutting tool |
| CN103676785A (en) * | 2013-12-13 | 2014-03-26 | 上海大学 | Intelligent fan blade manufacturing method |
-
2019
- 2019-12-09 CN CN201911252564.3A patent/CN111159147A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5377116A (en) * | 1991-07-01 | 1994-12-27 | Valenite Inc. | Method and system for designing a cutting tool |
| CN103676785A (en) * | 2013-12-13 | 2014-03-26 | 上海大学 | Intelligent fan blade manufacturing method |
Non-Patent Citations (2)
| Title |
|---|
| 田富君等: "基于Teamcenter的数控加工工艺设计研究", 《制造业自动化》 * |
| 阴艳超等: "转轮叶片多轴铣削加工的集成知识云服务实现", 《计算机集成制造***》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113341874A (en) * | 2021-06-07 | 2021-09-03 | 大连理工大学 | Turning parameter automatic loading method based on hybrid reasoning |
| CN113341874B (en) * | 2021-06-07 | 2022-04-12 | 大连理工大学 | Turning parameter automatic loading method based on hybrid reasoning |
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Application publication date: 20200515 |