CN114781054A - Aviation product digital twin geometric model quality control method based on gate closing - Google Patents
Aviation product digital twin geometric model quality control method based on gate closing Download PDFInfo
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Abstract
The invention discloses a door-closing-based quality control method for an aviation product digital twin geometric model, which comprises the steps of presetting one or more of a standard door closing, a grid door closing, an input door closing, an output door closing, a processing door closing and a characteristic door closing into a product life cycle management system, inputting part attribute parameters of the established aviation product digital twin geometric model into the product life cycle management system, and calling evaluation services of one or more door closures; and calling a gate compliance calculation service, and issuing a frozen technical state after the technical state is audited. The method parameterizes the quality inspection items of the model, presets the quality inspection items in the quality gate rule through the threshold parameter range, and helps or automatically judges the research and development problems caused by the quality of the model in the design process of the digital twin geometric model of the aviation product through the quality gate, thereby greatly reducing the design iteration time of the aviation product and improving the research and development efficiency.
Description
Technical Field
The invention relates to the field of aviation product digital twin design, in particular to a gate-closing-based aviation product digital twin geometric model quality control method.
Background
Digital design has been expressed from 2D to full 3D, the aviation product development fully adopts the digital twin technology, the three-dimensional digital geometric model is used as a common language throughout the whole product development and is the source of the development, the current international universal method adopts the full three-dimensional modeling technology, the problems of model multi-segment/piece discontinuity, multi-segment/piece coincidence, garbage line/surface, line selfing, curved surface normal jumping and the like can occur in the development process, and billions of dollars are directly or indirectly lost each year.
The method has the advantages that high requirements are provided for automatic inspection and optimization of digital model quality, such as engineering data exchange, engineering change quick positioning, batch protection of data sent to the outside, engineering simulation digital-analog optimization, conversion of CAD data format versions, migration of historical model data and the like of domestic aviation enterprises, but the actual operation is greatly discounted.
The maximum number of large aviation product configuration units is 2 ten thousand, each minimum configuration unit comprises about 200 models on average, and one model comprises about 1000 elements or features on average. The digital twin geometric model of the aviation product comprises a large number of elements and characteristics, and the number of the elements, the characteristics and the characteristics is ten million. Due to the huge data volume, even if a large number of engineers spend a large amount of time and use the most advanced service calculation, the model with the quality defect cannot be accurately and efficiently found.
Geometric twinning models have become the only source of data for aerospace product design, simulation and manufacture. B787 front section fuselage piece butt joint difference 0.762 mm, resulting in rework. Creep age forming of A380 wing panels requires that the hyperbolic aerodynamic profile tolerance is within 1 millimeter, and the requirement on model precision is extremely high. The digital-analog model of a certain transmission power assembly cannot be used for producing engineering drawings, the defects of the model are extremely hidden, and manual searching is difficult. A large amount of fine process elements and overlapped garbage elements are generated in the modeling process, the requirement on personnel specialties is extremely high, time is spent on checking and repairing one by one, and the complex parts are frequently subjected to mold rebuilding. In order to realize the application of the digital twinning technology in engineering, the quality evaluation and control of a digital twinning model are required to be realized.
In the actual production process, errors are found in simulation, test and even production due to insufficient methods and means. Accumulated errors due to model quality issues have not been identified and repaired. Resulting in overweight parts, damage to machining tools and damage to materials.
In the actual model development process, the time for repairing the digital prototype model accounts for a considerable proportion, model reconstruction brought by incapability of repairing prolongs the design time, and the cost is increased.
Disclosure of Invention
The invention aims to provide a quality control method of a digital twin geometric model of an aviation product, which does not need strong professional model defect discrimination force, does not need a large amount of manual processing and leads important quality defects to gate-off verification.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a method for managing and controlling the quality of a digital twin geometric model of an aviation product based on a gate, wherein one or more of a standard gate, a grid gate, an input gate, an output gate, a processing gate and a characteristic gate are set in a product life cycle management system in advance, wherein the standard gate is configured to define the modeling general attribute requirements of units, sizes, tolerances, constraints, states, solutions and combinations;
the grid gate is configured to define a strength calculation oriented analytical simulation for network partitioning quality and efficiency general requirements;
the input gate is configured to define a requirement that an aircraft original equipment manufacturer receive a supplier digital twinning geometry model;
the output gate is configured to define model quality requirements output to the supplier by the aircraft original equipment manufacturer;
the processing gate is configured to define the quality requirements of model numerical control processing, automatic pipe bending, sheet metal forming and composite materials on the model;
the property gate is configured to define model requirements in terms of digital twinning lightweighting properties, aircraft product maintainability, and safety;
and inputting the part attribute parameters of the established digital twin geometric model of the aviation product into the product life cycle management system, and calling one or more gate-closing evaluation services.
Further, the method for managing and controlling the quality of the digital twin geometric model of the aviation product based on the gate closing comprises the following steps of S101 to S106, and then step S2:
s101, establishing a model, and setting basic attribute parameters of the part; calling an evaluation service of the standard gate, if the standard gate passes, marking a gate stamp of the standard gate, otherwise, feeding an error report back to a model designer;
s102, importing a supplier model through a supplier model input system, calling an evaluation service of the input gate, if the input gate passes, stamping a gate stamp of the input gate, and if not, feeding an error report back to the supplier;
s103, loading a unit model to be configured through a supplier data administrator, calling an output gate closing evaluation service, if the output gate closing passes, stamping a gate stamp of the output gate closing, and if the output gate closing passes, feeding an error report back to a model output party of an original equipment manufacturer;
s104, loading a configuration unit model, calling a grid gate closing evaluation service, generating a grid after the grid gate closing evaluation service passes, auditing the grid model, marking a gate stamp of the grid gate closing if the grid gate closing passes, and otherwise, feeding an error report back to a model design party;
s105, loading a unit machining model, calling a machining gate-closing evaluation service, checking the machining quality of the model to be machined, if the machining gate-closing passes, generating a machining path and a report, carrying out path verification by a manufacturer, if a problem exists in verification, feeding an error report back to a model designer, and otherwise, stamping a gate stamp of the machining gate-closing;
s106, loading an invariant unit model, calling a characteristic gate closing evaluation service, if the characteristic gate closing passes, informing a digital twin manager or a regional manager to examine the digital twin, and if the examined digital twin passes, marking a gate stamp of the characteristic gate closing on a variable configuration unit contained in an invariant configuration unit; if the characteristic gate is not passed, feeding back an error report to a model design party corresponding to the problem in the invariant configuration unit;
and S2, the technical state manager opens the configuration unit, calls the gate closure conformity calculation service, and issues the frozen technical state after the technical state is checked.
Further, if the basic attribute parameters of the part meet one of the conditions of non-conformity with engineering significance, non-standard homogeneous combination, non-conformity with digital-analog geometric dimension or tolerance requirement, unresolvable constraint in sketch or assembly, over-constraint, under-motion connection, false dimension and the like, the standard gate is not passed.
Further, in step S102, if the digital twin geometric model satisfies one of conditions of surface shearing or entity stitching failure, transformation materialization failure, loss of topology information, subtle edges of materialization failure, un-trimmed surfaces transformed, and the like, the input gate fails to pass.
Further, in step S103, if the model output to the supplier does not meet the requirements of protection or packaging of the design process, the output gate is not passed.
Further, in step S104, if the mesh model has one of a micro selfing surface, a small curve, and a line segment that cause failure in automatic meshing, or a repetitive surface that generates a gap, or one of a distorted surface and a fine edge that are prone to generate a large number of small meshes or mesh failures, the mesh gate fails.
Further, in step S105, if the processing quality has burrs, an over-cut selfed curved surface, and a slight edge of which the tool path calculation fails; or a repeated curved surface which causes the processing to be not in place or a distorted curved surface which causes the processing to scratch the workpiece occurs, the processing door is closed and does not pass through.
Further, in step S106, if the digital twin model is too large in size or does not meet the quality requirements of light weight, safe area, motion envelope, maintainability and supportability models on the configuration unit structure tree, the feature gate is not passed.
Further, the rule set of the aviation product digital twin geometric model quality is defined based on a defect rule of a parameter threshold of an inspection item.
Further, if the error report is fed back to the supplier or the model designer, the supplier or the model designer modifies the model, and for the model created by the enterprise itself, one or more of the steps S104 to S106 are executed, and then step S2 is executed; for the model designed by the supplier, the step S102, one or more of the steps S104 to S106, and the step S2 are executed again;
and if the door closure conformance calculation result is qualified, a freezing technical state is issued, and the frozen model parameters cannot be changed and are sent to downstream for processing.
The technical scheme provided by the invention has the following beneficial effects: the method classifies and combines the item quality inspection items of the model, presets the item classification combination parameter threshold value in the quality gate rule, and assists or automatically judges the research and development problem caused by the defect of the model through gate calculation corresponding to the gate rule set in the design process of the digital twin geometric model of the aviation product, thereby greatly reducing the iteration time of the design of the aviation product and improving the research and development efficiency.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for controlling quality of a digital twin geometric model of an aircraft product based on gate shutdown according to an exemplary embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Currently, the quality inspection technology of the aviation product manufacturing industry has certain application, and the conventional model quality inspection method is as follows:
1) in the CAD modeling process, the fine defects in the elements are identified through the self-carried functions of the tool, and the quality problem of the model is avoided as much as possible by the design knowledge of the experienced specification;
2) calling quality inspection tools such as Q-checker, CAD vector and the like in CAD, inspecting and analyzing one by one, and adjusting different model quality thresholds individually;
3) integrating quality check monitors with the PDM, such as: Q-Monitor, background view quality report discriminant model problem.
The disadvantages of this method are obvious: 1) the manual participation is more, the efficiency is low, the error rate is high, the quality of the model is easily ignored for the speed-up and cost reduction, 2) the quality inspection report items of the complex model (such as a speed reducer) are more than one thousand, and the processing time reaches about 10 percent of the total design time; 3) background recognition, while efficient, makes it difficult to quickly find problems from a large number of reports and abandon repairs.
The existing quality inspection products such as Q-checker only support item inspection, and lack the combined inspection of quality inspection items.
The invention aims to provide a door-closing-based aviation product configuration unit digital twin geometric model quality control method which is widely applied to the field of digital twin design of airplanes, helicopters, engines and airborne systems.
In one embodiment of the invention, the digital twin geometric model quality entries are grouped into five groups: a standard group, a grid group, an input group, an output group, a processing group and a characteristic group, and correspondingly setting a Quality Gate of a digital twin geometric model (QG): a standard gate-off QG1, a grid gate-off QG2, an input gate-off QG3a, an output gate-off QG3b, a processing gate-off QG4 and a characteristic gate-off QG 5.
The following is a detailed description of each door:
specification door closing QG 1: the method is based on the gate of modeling, drawing specification and standard, and defines the modeling general attribute requirements of units, sizes, tolerances, constraints, states, resolving and combination; the problem of the quality of the controlled model mainly comprises data organization which is inconsistent with the engineering significance and non-standard similar combination; the requirements of the geometric dimension and tolerance of the digital model; the constraints in sketch and assembly can not be solved, over-constrained, under-motion connected, false size and the like.
Grid door closing QG 2: the method is used for calculating the gate of the grid model quality, and is defined by the general requirements of analysis simulation such as intensity calculation on the network division quality and efficiency; the quality problems of the controlled model mainly comprise a micro selfing curved surface, a small curve and a line segment which cause the failure of automatic gridding; repeated curved surfaces with gaps are easy to generate; a large number of small grids or distorted curved surfaces and fine edges of grid failure are easy to generate;
input door closing QG3 a: a quality gate for supplier model input, defined as requirements of an aircraft product OEM (original equipment manufacturer) to receive a supplier digital twin geometry model; the quality problems of the control model mainly comprise: supplier model input requirements (with features, parameters, links, and release references, etc.); failure of curved surface cutting or solid stitching; failure of conversion materialization; fine edges which cause topology information loss and materialization failure; the converted uncut curved surface;
output gate QG3 b: the model quality gate is output to the supplier, and the model quality requirements and intellectual property protection requirements output to the supplier by the aviation product OEM are defined; the quality problem of the control model mainly comprises the following requirements of an output model: protection and encapsulation of relevant design processes;
processing door closing QG 4: the quality gate for numerical control, pipe bending, die machining and the like defines the quality requirements of model numerical control machining, automatic pipe bending, sheet metal forming, composite materials and the like on the model; the quality problems of the controlled model mainly comprise the occurrence of burrs, an over-cut selfing curved surface and a slight edge of failure of tool path calculation; resulting in poorly machined repeating curved surfaces; causing the processing of the distorted curved surface of the scratched workpiece;
characteristic gate closing QG 5: the quality gate facing twin collaborative audit defines the relevant model requirements of digital twin lightweight characteristics, aviation product maintainability and safety; the quality problems of the controlled model mainly comprise the overlarge size of the digital twin model, light weight on a configuration unit structure tree, a safe region, motion envelope, maintainability and the quality requirements of a supportability model.
The embodiment of the invention provides a gate-based quality control method for an aviation product digital twin geometric model, which is characterized in that one or more of a standard gate, a grid gate, an input gate, an output gate, a processing gate and a characteristic gate are set in a Product Lifecycle Management (PLM) system in advance, then part attribute parameters of the established aviation product digital twin geometric model are input into the product lifecycle management system, and evaluation services of one or more gates are called, as shown in figure 1, the gate-based quality control method for the aviation product digital twin geometric model comprises the following steps of S101 to S106, and then the step of S2 is executed:
s101, establishing a model, and setting basic attribute parameters of a part; calling an evaluation service of the standard gate, if the standard gate passes, stamping a gate stamp of the standard gate, otherwise, feeding an error report back to a model designer, modifying the model by the model designer, and then executing one or more of the steps S101 to S106; in step S101, if the basic attribute parameters of the part satisfy one of the conditions of "not conforming to engineering meaning, not standardizing the same type combination, not conforming to geometric dimension or tolerance requirement of the digital-analog, not solving constraint in sketch or assembly, over-constraint, under-kinematic connection, false dimension, etc.), the standardized gate does not pass.
S102, importing a supplier model through a supplier model input system, calling an evaluation service of the input gate, if the input gate passes, stamping a gate stamp of the input gate, and if not, feeding an error report back to the supplier; in step S102, if the digital twin geometric model satisfies one of the conditions of "failure of surface shearing or entity stitching, failure of transformation and materialization, loss of topology information, failure of materialization, and failure of transformed uncut surface, the input gate fails to pass.
S103, loading a unit model to be configured by a supplier data administrator, calling an output gate closing evaluation service, if the output gate closing passes, stamping a gate stamp of the output gate closing, and if the output gate closing passes, feeding an error report back to a model output party of an original equipment manufacturer; in step S103, if the model output to the supplier does not meet the requirements of protection or packaging in the design process, the output gate will not pass.
S104, loading a configuration unit model, calling a grid gate-off evaluation service, generating a grid after the grid gate-off evaluation service passes, auditing the grid model, punching a gate stamp of the grid gate-off if the grid gate-off passes, otherwise, feeding an error report back to a model designer, modifying the model by the model designer, and then executing one or more of the steps S101 to S106; in step S104, if the mesh model has one of a micro selfing surface, a small curve, and a line segment that cause an automatic meshing failure, or has a repetitive surface that generates a gap, or has one of a twisted surface and a fine edge that are easy to generate a large number of small meshes or mesh failures, the mesh gate fails.
S105, loading the unit machining model, calling a machining gate evaluation service, checking the machining quality of the model to be machined, generating a machining path and a report if the machining gate passes, carrying out path verification by a manufacturer, and if a problem exists in verification, feeding an error report back to a model designer or a supplier (the supplier or the model designer modifies the model and then executes one or more of the steps S101 to S106), otherwise, stamping a gate stamp of the machining gate; in step S105, if the processing quality has burrs, an over-cut selfing curved surface and a slight edge of which the tool path calculation fails; or a repeated curved surface which causes the processing to be not in place or a distorted curved surface which causes the processing to scratch the workpiece occurs, the processing door is closed and does not pass through.
S106, loading an invariant unit model, calling a characteristic gate closing evaluation service, if the characteristic gate closing passes, informing a digital twin manager or a region manager to examine the digital twin, and if the examined digital twin passes, marking a gate stamp of the characteristic gate closing; if the characteristic door is not closed, feeding an error report back to a model designer, modifying the model by the model designer, and then executing one or more of the steps S101 to S106; in step S106, if the digital twin model is too large in size or does not meet the quality requirements for configuring lightweight, safe region, motion envelope, maintainability and supportability models on the unit structure tree, the feature gate fails.
Based on the steps, the rule set of the aviation product digital twin geometric model quality is defined based on the defect rule of the parameter threshold of the inspection item, namely the size of the parameter threshold can be defined and set according to different model types and core degrees of components.
And S2, opening the configuration unit by technical state management personnel, calling a gate closure conformity calculation service, finishing technical state verification if the gate closure conformity calculation result is qualified, and releasing the frozen technical state, wherein the frozen model parameters cannot be changed and are sent to downstream for processing.
For different product models, the execution degrees of the above steps S101 to S106 are different, for example, if the model is created autonomously, step S101 is executed without executing S102, and if the model is developed outsourcing, step S102 is executed without executing S101; step S104 is executed for the core component model, the more the core is, the stricter the parameter threshold is set (that is, the narrower the threshold range is set), step S104 is not executed for the accessory model, and step S105 is not executed for the outsourcing process.
The method classifies and combines the item quality inspection items of the model, presets the item classification combination parameter threshold in the quality gate rule, and helps or automatically judges the research and development problem caused by the model defect in the design process of the digital twin geometric model of the aviation product through gate calculation corresponding to the gate rule set, thereby greatly reducing the design iteration time of the aviation product and improving the research and development efficiency.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing is illustrative of the present disclosure and it will be appreciated by those skilled in the art that changes may be made in this embodiment without departing from the principles of the disclosure, the scope of which is defined by the appended claims.
Claims (10)
1. A door-closing-based aviation product digital twin geometric model quality control method is characterized in that one or more of a standard door closing, a grid door closing, an input door closing, an output door closing, a processing door closing and a characteristic door closing are set in a product life cycle management system in advance, wherein the standard door closing is configured to define unit, size, tolerance, constraint, state, solution and combined modeling general attribute requirements;
the grid gate is configured to define a strength calculation oriented analytical simulation for network partitioning quality and efficiency general requirements;
the input gate is configured to define a requirement that an aircraft original equipment manufacturer receive a supplier digital twinning geometry model;
the output gate is configured to define model quality requirements output to the supplier by the aircraft original equipment manufacturer;
the processing gate is configured to define the quality requirements of model numerical control processing, automatic pipe bending, sheet metal forming and composite materials on the model;
the property gate is configured to define model requirements in terms of digital twinning lightweighting properties, aircraft product maintainability, and safety;
and inputting the part attribute parameters of the established digital twin geometric model of the aviation product into the product life cycle management system, and calling one or more gate-closing evaluation services.
2. The door-closing-based aviation product digital twin geometric model quality control method according to claim 1, comprising the following steps S101 to S106, and then step S2:
s101, establishing a model, and setting basic attribute parameters of a part; calling the evaluation service of the standard gate closure, if the standard gate closure passes, marking a gate stamp of the standard gate closure, otherwise, feeding an error report back to a model designer;
s102, importing a supplier model through a supplier model input system, calling an evaluation service of the input gate, if the input gate passes, stamping a gate stamp of the input gate, and if not, feeding an error report back to a supplier;
s103, loading a unit model to be configured by a supplier data administrator, calling an output gate closing evaluation service, if the output gate closing passes, stamping a gate stamp of the output gate closing, and if the output gate closing passes, feeding an error report back to a model output party of an original equipment manufacturer;
s104, loading a configuration unit model, calling a grid gate-off evaluation service, generating a grid after the grid gate-off evaluation service passes, auditing the grid model, punching a gate stamp of the grid gate-off if the grid gate-off passes, and otherwise, feeding an error report back to a model designing party;
s105, loading a unit machining model, calling a machining gate-closing evaluation service, checking the machining quality of the model to be machined, if the machining gate-closing passes, generating a machining path and a report, carrying out path verification by a manufacturer, if a problem exists in verification, feeding an error report back to a model designer, and otherwise, stamping a gate stamp of the machining gate-closing;
s106, loading an invariant unit model, calling a characteristic gate closing evaluation service, if the characteristic gate closing passes, informing a digital twin manager or a regional manager to examine the digital twin, and if the digital twin passes, marking a gate stamp of the characteristic gate closing on a variable configuration unit contained in an invariant configuration unit; if the characteristic gate is not closed, feeding back an error report to a model designing party corresponding to the problem in the invariant configuration unit;
and S2, the technical state manager opens the configuration unit, calls the gate closure conformity calculation service, and issues the frozen technical state after the technical state is checked.
3. The door-closing-based quality control method for the digital twin geometric models of the aviation products according to the claim 2, wherein in the step S101, if the basic attribute parameters of the parts meet one of the conditions of non-conformity with engineering significance, non-standard homogeneous combination, non-conformity with digital-analog geometric dimension or tolerance requirement, unresolvable constraint in sketch or assembly, over-constraint, under-kinematic connection and false dimension, the standard door-closing does not pass.
4. The method as claimed in claim 2, wherein in step S102, if the digital twin geometric model satisfies one of conditions of failure of surface shearing or entity stitching, failure of transformation and materialization, loss of topology information, failure of materialization, and conversion of an untrimmed surface, the input gate does not pass through.
5. The door-closing-based aviation product digital twin geometric model quality control method according to claim 2, wherein in step S103, if the model output to the supplier does not meet the requirements of protection or packaging of the design process, the output door-closing does not pass.
6. The method for managing and controlling quality of digital twin geometric models of aircraft products based on gate closure as claimed in claim 2, wherein in step S104, if the grid model has one of a micro selfing surface, a small curve and a line segment which cause failure of automatic gridding, or a repetitive surface which generates gaps, or one of a distorted surface and a fine edge which are easy to generate a large number of small grids or grid failures, the grid gate closure is not passed.
7. The method for managing and controlling the quality of the digital twin geometric model of the aviation product based on the gate of claim 2, wherein in step S105, if burrs, an over-cut selfing curved surface and a slight edge of a failed tool path calculation occur in the processing quality; or a repeated curved surface which causes the processing to be not in place or a distorted curved surface which causes the processing to scratch the workpiece occurs, the processing door is closed and does not pass through.
8. The method as claimed in claim 2, wherein in step S106, if the digital twin model is too large in size or does not meet the quality requirements of lightweight, safe area, motion envelope, maintainability and supportability models on configuration unit structure trees, the characteristic gate is not passed.
9. The door-closing-based aviation product digital twin geometric model quality control method according to claim 1, wherein the rule set of the aviation product digital twin geometric model quality is defined based on defect rules of parameter thresholds of inspection items.
10. The method for managing and controlling the quality of digital twin geometric models of aircraft products based on gate closure as claimed in claim 2, wherein if an error report is fed back to a supplier or a model designer, one or more of the steps S104 to S106 are executed again for the model created by the enterprise itself, and then step S2 is executed again; for the model designed by the supplier, the step S102, one or more of the steps S104 to S106, and the step S2 are executed again;
and if the door closure conformance calculation result is qualified, a freezing technical state is issued, and the frozen model parameters cannot be changed and are sent to downstream for processing.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115408706A (en) * | 2022-10-28 | 2022-11-29 | 国科治慧(苏州)智能科技有限公司 | Digital twin model of aviation product and technical state two-way exchange method thereof |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110705882A (en) * | 2019-09-30 | 2020-01-17 | 江苏科技大学 | Twin data driven ship assembly product quality control system and configuration method |
| CN110900307A (en) * | 2019-11-22 | 2020-03-24 | 北京航空航天大学 | Numerical control machine tool cutter monitoring system driven by digital twin |
| CN111695734A (en) * | 2020-06-12 | 2020-09-22 | 中国科学院重庆绿色智能技术研究院 | Multi-process planning comprehensive evaluation system and method based on digital twin and deep learning |
| CN112198812A (en) * | 2020-09-21 | 2021-01-08 | 东南大学 | Simulation and control method and system of micro-assembly production line based on digital twinning |
| CN112381412A (en) * | 2020-11-16 | 2021-02-19 | 北京航空航天大学 | Digital twin satellite pulsating type general assembly distributed management and control system |
| CN113433909A (en) * | 2021-06-28 | 2021-09-24 | 成都飞机工业（集团）有限责任公司 | Manufacturing process control system architecture for aviation industry cluster |
| WO2021227325A1 (en) * | 2020-05-13 | 2021-11-18 | 中国电子科技集团公司第十四研究所 | Digital twin-based production process simulation and optimization method |
| CN113946918A (en) * | 2021-09-30 | 2022-01-18 | 中国船舶重工集团公司第七二四研究所 | Layout and digital twin management and control method for micro-assembly production line |
-
2022
- 2022-04-06 CN CN202210353508.4A patent/CN114781054B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110705882A (en) * | 2019-09-30 | 2020-01-17 | 江苏科技大学 | Twin data driven ship assembly product quality control system and configuration method |
| CN110900307A (en) * | 2019-11-22 | 2020-03-24 | 北京航空航天大学 | Numerical control machine tool cutter monitoring system driven by digital twin |
| WO2021227325A1 (en) * | 2020-05-13 | 2021-11-18 | 中国电子科技集团公司第十四研究所 | Digital twin-based production process simulation and optimization method |
| CN111695734A (en) * | 2020-06-12 | 2020-09-22 | 中国科学院重庆绿色智能技术研究院 | Multi-process planning comprehensive evaluation system and method based on digital twin and deep learning |
| CN112198812A (en) * | 2020-09-21 | 2021-01-08 | 东南大学 | Simulation and control method and system of micro-assembly production line based on digital twinning |
| CN112381412A (en) * | 2020-11-16 | 2021-02-19 | 北京航空航天大学 | Digital twin satellite pulsating type general assembly distributed management and control system |
| CN113433909A (en) * | 2021-06-28 | 2021-09-24 | 成都飞机工业（集团）有限责任公司 | Manufacturing process control system architecture for aviation industry cluster |
| CN113946918A (en) * | 2021-09-30 | 2022-01-18 | 中国船舶重工集团公司第七二四研究所 | Layout and digital twin management and control method for micro-assembly production line |
Non-Patent Citations (7)
| Title |
|---|
| FEI TAO 等: "Digital twin-driven product design, manufacturing and service with big data", THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol. 94, pages 3563 - 3576, XP055547858, DOI: 10.1007/s00170-017-0233-1 * |
| FENG-QUE PEI 等: "The digital twin of the quality monitoring andcontrol in the series solar cell production line", JOURNAL OF MANUFACTURING SYSTEMS, vol. 59, pages 127 - 137, XP086579083, DOI: 10.1016/j.jmsy.2021.02.001 * |
| 于勇 等: "数字孪生模型在产品构型管理中应用探讨", 航空制造技术, no. 07, pages 41 - 45 * |
| 蔡笑驰 等: "数字孪生技术在船舶全生命周期的应用架构", 船舶设计通讯, no. 02, pages 27 - 32 * |
| 赵阳 等: "基于数字孪生的智能脉动管控", 航空制造技术, vol. 63, no. 1, pages 14 - 20 * |
| 邹琦 等: "机加零件的数字孪生模型构建方法", 航空制造技术, vol. 63, no. 03, pages 67 - 75 * |
| 郭具涛 等: "基于数字孪生的航天制造车间生产管控方法", 中国机械工程, vol. 31, no. 07, pages 808 - 814 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115408706A (en) * | 2022-10-28 | 2022-11-29 | 国科治慧(苏州)智能科技有限公司 | Digital twin model of aviation product and technical state two-way exchange method thereof |
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