CN112258629A - Mold manufacturing processing method and device and server - Google Patents

Mold manufacturing processing method and device and server Download PDF

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CN112258629A
CN112258629A CN202011112751.4A CN202011112751A CN112258629A CN 112258629 A CN112258629 A CN 112258629A CN 202011112751 A CN202011112751 A CN 202011112751A CN 112258629 A CN112258629 A CN 112258629A
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mold
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李欣键
林树敏
王亚东
马骏
林佳阳
黄炳华
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Gree Precision Mold Co Ltd
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Gree Precision Mold Co Ltd
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Abstract

The application relates to a mold manufacturing processing method, a mold manufacturing processing device and a server, and belongs to the technical field of mold design. The application includes: obtaining a three-dimensional model of a mold; carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions; carrying out reconstruction processing according to the analyzed metadata to generate a digital model; and carrying out application processing of die manufacturing according to the digital model. By the aid of the method and the device, the problem of low efficiency of die manufacturing during non-parametric model is solved.

Description

Mold manufacturing processing method and device and server
Technical Field
The application belongs to the technical field of mold design, and particularly relates to a mold manufacturing processing method, a mold manufacturing processing device and a server.
Background
Along with the improvement of the living taste of people, the demand of people on product diversification is higher and higher, and in order to adapt to the product diversification, the structure of the die is different in size, and the difference exists. In the face of the difference of the size, a plurality of universal part types with the same structure and different sizes are formed.
The whole process of die manufacturing comprises a die design stage, a stock purchasing stage, a process programming stage, a processing stage and an assembling stage.
In the mold design stage, the design efficiency can be greatly improved through the feature recognition of the model, for example, a certain feature, such as a screw hole, is deleted or moved, if the feature cannot be recognized, all the containing surfaces of the feature need to be manually changed one by one, and other features need to be ensured not to be selected. This is accomplished if the mold design engineer can quickly complete the process using the functionality provided by the corresponding design software when using parametric design, but must be manually done inefficiently if non-parametric design is used due to the lack of parameter information.
Wherein, the stock material purchasing stage needs to generate the stock material information of hundreds of mould parts, including specification, size, material, quantity, etc. At present, a mode of obtaining the attribute of the parameterized model is adopted, namely, the parameterized design mode is used at the stage of mold design, and the attribute of the model is updated and maintained in real time. If the non-parametric design is used or the attribute process of the maintenance model cannot be updated in real time, the material cannot be prepared efficiently and correctly.
In the process programming stage, a process procedure card and a part processing program need to be prepared for the processing stage. At the present stage, manual judgment process procedures are adopted, and certain labor cost and time cost are needed. In the process programming, if the introduced model is a non-parametrically designed model, the characteristics cannot be judged automatically and correctly, and a large amount of manual identification and intervention are needed, so that the time and labor are wasted.
As can be seen from the above description, for the non-parametric model, the mold manufacturing needs to be completed manually due to lack of related information, and thus, it is difficult to ensure the efficiency of mold manufacturing.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the application provides a mold manufacturing processing method, a mold manufacturing processing device and a mold manufacturing server, which are beneficial to solving the problem of low mold manufacturing efficiency in non-parametric models.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the present application provides a mold manufacturing processing method, the method comprising:
obtaining a three-dimensional model of a mold;
carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions;
carrying out reconstruction processing according to the analyzed metadata to generate a digital model;
and carrying out application processing of die manufacturing according to the digital model.
Further, the performing multi-dimensional analysis on the three-dimensional model includes at least two of the following dimensional analyses:
a third dimension resolution comprising one or more of: model weight, model volume and centroid position of the three-dimensional model;
second dimension resolution, including one or more of: the number of two-dimensional surfaces forming the three-dimensional model, the area, the type and the color of each two-dimensional surface, and the relative relationship between each two surfaces;
a first dimension resolution comprising one or more of: the number of one-dimensional contour lines forming each two-dimensional surface, the length, type, color and line width of each contour line and the relative relationship between every two contour lines;
a zeroth dimension resolution comprising one or more of: the number of points that make up each contour edge, the sum of the points of all contour edges.
Further, the reconstructing according to the parsed metadata to generate the digital model includes:
processing the analyzed metadata through a first preset algorithm to obtain feature data;
and matching the characteristic data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching processing result.
Further, the first preset algorithm includes: one or more of sorting, ranking, combining, and transforming algorithms.
Further, the matching the feature data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching result includes:
and circularly pairing the characteristic data with the characteristic data of the typical parts in the digital model database through an accurate or fuzzy matching algorithm, and if the pairing is successful, writing the paired typical part information into the three-dimensional model to generate the digital model.
Further, the feature data includes: geometric feature data, and/or attribute feature data.
Further, the applying process of the mold manufacturing according to the digital model includes:
and designing, preparing materials or compiling a process for manufacturing the die according to the digital model.
Further, the method further comprises: and acquiring the application type of the mold manufacturing, and determining the dimension and the depth of the three-dimensional model analysis and the metadata reconstruction form according to the application type.
In a second aspect of the present invention,
the application provides a mold manufacturing processing apparatus, includes:
the acquisition module is used for acquiring a three-dimensional model of the mold;
the analysis module is used for carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions;
the reconstruction module is used for carrying out reconstruction processing according to the analyzed metadata so as to generate a digital model;
and the application module is used for carrying out application processing of mold manufacturing according to the digital model.
In a third aspect,
the application provides a mould manufacturing processing server, includes:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of any of the methods described above.
This application adopts above technical scheme, possesses following beneficial effect at least:
the method comprises the steps of carrying out multi-dimensional analysis on a three-dimensional model to analyze the three-dimensional model into metadata with specific attribute values in multiple dimensions, carrying out reconstruction processing according to the analyzed metadata to generate a digital model, configuring parameter information on the three-dimensional model, and then carrying out application processing of mold manufacturing according to the digital model, so that the problem of low efficiency of mold manufacturing in the non-parametric model can be solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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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 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 of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a mold manufacturing process in accordance with one exemplary embodiment;
FIG. 2 is a block diagram structural diagram illustrating a technology application layer of a mold manufacturing process in accordance with an exemplary embodiment;
FIG. 3 is an exploded view of an air conditioning panel body mold shown according to an exemplary embodiment;
FIG. 4 is a schematic structural diagram illustrating a three-dimensional model of a socket head cap screw in accordance with an exemplary embodiment;
FIG. 5 is a schematic diagram illustrating the construction of a slider guide block feature according to an exemplary embodiment;
FIG. 6 is a block diagram schematic diagram illustrating a mold-making process apparatus in accordance with an exemplary embodiment;
fig. 7 is a block diagram configuration diagram illustrating a mold-making process server according to an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1 and 2, fig. 1 is a flow chart illustrating a mold manufacturing process method according to an exemplary embodiment, and fig. 2 is a schematic diagram illustrating a technical application layer block diagram structure of a mold manufacturing process method according to an exemplary embodiment, as shown in fig. 1 and 2, the mold manufacturing process method includes the following steps:
and S101, acquiring a three-dimensional model of the mold.
Specifically, the demand of the user for product diversification is higher and higher, and in order to adapt to the product diversification, the structure of the mold is different in size, and the difference exists. For the non-parametric model, the non-parametric model lacks related parameter information, and the secondary development and utilization efficiency is poor.
Referring to fig. 2, the efficient design method for mold fabrication consists of key technology layers and application layers. The key technology layer is the analysis and reconstruction technology of the three-dimensional model, the technology analyzes three-dimensional model data into metadata by using a tool and a related algorithm, then the metadata is converted into feature data by using the tool and the related algorithm, and the feature data is matched and finally reconstructed into a digital model. The application layer is a derivative tool for improving efficiency and quality when the technology is applied to the whole process of die manufacturing, such as intelligent material preparation, intelligent process, intelligent programming and the like. The following steps are described below with reference to fig. 2.
And S102, carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions.
Specifically, referring to fig. 2, a complex three-dimensional model may be parsed into metadata by using a software secondary development tool in combination with a multidimensional parsing algorithm, so as to parse the three-dimensional model into a metadata set having specific attribute values in multiple dimensions, and for the secondary development tool, a UG/OPEN API tool set, a UG _ GRIP, and the like may be used, where the former is a C + + based object-oriented development tool, and the latter is a simple process-oriented development tool.
In one embodiment, the multi-dimensional parsing of the three-dimensional model includes at least two of the following dimensional parsing:
a third dimension resolution comprising one or more of: model weight, model volume and centroid position of the three-dimensional model;
second dimension resolution, including one or more of: the number of the two-dimensional surfaces forming the three-dimensional model, the area, the type (such as a plane, a curved surface, a cylindrical surface, an arc surface, a spherical surface and the like) and the color of each two-dimensional surface, and the relative relationship (such as adjacency, parallelism and the like) between each two surfaces;
a first dimension resolution comprising one or more of: the number of one-dimensional contour lines forming each two-dimensional surface, the length and type (such as straight lines, circles, circular arcs and the like), the color and the line width of each contour line, and the relative relationship (such as parallel, intersected, collinear and the like) between every two contour lines;
a zeroth dimension resolution comprising one or more of: the number of points that make up each contour edge, the sum of the points of all contour edges.
Step S103, carrying out reconstruction processing according to the analyzed metadata to generate a digital model;
and through the step, reconstruction processing is carried out according to the metadata to generate a digital model, so that the three-dimensional model is configured with parameter information.
Referring to fig. 2, in an embodiment, the reconstructing according to the parsed metadata to generate the digital model includes:
processing the analyzed metadata through a first preset algorithm to obtain feature data;
and matching the characteristic data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching processing result.
Further, the first preset algorithm includes: one or more of sorting, ranking, combining, and transforming algorithms.
Further, the matching the feature data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching result includes:
and circularly pairing the characteristic data with the characteristic data of the typical parts in the digital model database through an accurate or fuzzy matching algorithm, and if the pairing is successful, writing the paired typical part information into the three-dimensional model to generate the digital model.
Further, the feature data includes: geometric feature data, and/or attribute feature data.
Specifically, the parsed metadata may be processed by using a programming development tool in combination with a first preset algorithm such as a classification permutation and combination algorithm to form feature data, including geometric feature data (e.g., a screw) and/or attribute feature data (e.g., a size of the screw); and then, a database development tool is combined with a second preset algorithm (a model matching algorithm) to search and match the characteristic data and a predefined digital model database, and the digital model is formed by reconstruction.
And step S104, carrying out application processing of mold manufacturing according to the digital model.
Specifically, referring to fig. 2, the design, preparation or process of the mold manufacturing can be performed according to the digital model. In the design stage of die manufacturing, the digital model formed by three-dimensional model analysis reconstruction can quickly identify characteristics (such as round corners, screw holes and the like), can be used for operations such as quick picking and the like, increases the design efficiency and reduces mistakes and omissions. In the material preparation purchasing stage of die manufacturing, the typical part and the atypical part can be intelligently identified through the digitized model formed by analyzing and reconstructing the three-dimensional model, and the material preparation process can be automatically and rapidly completed. In the process programming stage of die manufacturing, the digital model formed by analyzing and reconstructing the three-dimensional model can intelligently identify part information, automatically and quickly complete the process design, and can realize semi-automation and local automation of programming.
The method comprises the steps of carrying out multi-dimensional analysis on a three-dimensional model to analyze the three-dimensional model into metadata with specific attribute values in multiple dimensions, carrying out reconstruction processing according to the analyzed metadata to generate a digital model, configuring parameter information on the three-dimensional model, and then carrying out application processing of mold manufacturing according to the digital model, so that the problem of low efficiency of mold manufacturing in the non-parametric model can be solved.
For the above method, the following description will further explain specific applications and improvement efficiency of the method by using specific embodiments.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating an explosion structure of an air conditioner panel body mold according to an exemplary embodiment, in the explosion structure shown in fig. 3, there are full-fledged parts, and in an actual product, the panel body mold can have more than 1600 typical parts, which need to be identified during procurement, including types of parts, specification and size of the parts, quantity, material, and the like. If a manual identification mode is adopted, the required average time can exceed 120 minutes, and errors and omissions exist difficultly, so that the efficiency is too low; by applying the method, the identification time can be greatly shortened, and when a high-performance computer is adopted, the average time required can be less than 1 minute, so that the efficiency of purchasing the prepared materials in mold manufacturing can be greatly improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a three-dimensional model of a socket head cap screw according to an exemplary embodiment, which is further described with reference to a socket head cap screw (specification "socket head cap screw (EGM) M8X 40") as a typical part in the related art.
Analyzing the three-dimensional model of the socket head cap screw:
analyzing the three-dimensional model into metadata through a software secondary development tool, wherein the analysis is as follows:
extracting all the surfaces forming the three-dimensional model of the socket head cap screw, and recording the total number of the surfaces, wherein the total number of the surfaces is 14;
for each extracted face, extracting all contour lines constituting the face, and recording the number of sides of each face and sorting from small to large, the result is 1 → 2 → 2 → 2 → 2 → 4 → 4 → 4 → 4 → 4 → 6 → 7, the sum of the numbers is 48;
extracting all contour edges forming the three-dimensional model of the socket head cap screw, and recording the number of the contour edges as 24;
the maximum outer dimension (unit: mm) of the model was measured and recorded as 13.00 × 48.00.
And reconstructing by using the metadata obtained by analysis:
and reordering the metadata obtained in the step. The attributes with high length, width and the like are arranged and combined into model attribute characteristics (shown in a table below) according to a fixed sequence and are stored into a first data container.
Long and long Width of Height of Number of noodles Number of contour lines Sum of number of surface contours
13.00 13.00 48.00 14 24 48
The number of contours for each face is assembled in order from small to large into model geometry (as shown in the table below) and stored in a second data container.
1 2 2 2 2 2 4 4 4 4 4 4 6 7
Circularly pairing the data in the two tables with the characteristic data of the typical parts in the database; if the matching is successful, the typical part attribute information is written into the corresponding three-dimensional model, and if the matching characteristic data is consistent with the characteristic data of the socket head cap screw (EGM) M8X40 in the example, the information and other related information (such as material quality and the like) are written into the three-dimensional model attribute.
In one embodiment, the method further comprises: and acquiring the application type of the mold manufacturing, and determining the dimension and the depth of the three-dimensional model analysis and the metadata reconstruction form according to the application type.
In particular, the application types may include the designs of mold fabrication, stock or process recipes, etc. noted above. By the embodiment, different applications determine the dimension and depth of model analysis and the form of metadata reconstruction, and further optimization processing of the model analysis and the metadata reconstruction is realized. As described above, the identification of the hexagon socket head cap screw is the identification of the entire model, and only the basic information is acquired from three dimensions when the three-dimensional model is analyzed, and even if the relative relationship between each surface and each contour edge is not acquired, the identification accuracy is not significantly affected. However, in the local feature recognition, the relative relationship between the surface and the plane must be relied on, and in this case, the relationship must be utilized in the analysis and reconstruction, please refer to fig. 5, fig. 5 is a schematic structural diagram of a slide guide block component according to an exemplary embodiment, and the following description is provided by the slide guide block component shown in fig. 5 in combination with the application in the mold component process.
In the manufacturing process of the die, a compiling process of each part to be machined, namely a working procedure and a method for machining the part and the like are required, and in the process, different characteristics in the part need to be identified so as to be matched with a specific machining process. The slider guide block part shown in fig. 5 includes a screw hole 1 and an oil groove 2, and the screw hole 1 and the oil groove 2 need to be identified as follows:
analyzing the slide block guide block part:
extracting all the faces forming the three-dimensional model, and recording the type of each face;
extracting the contour line of each surface, recording the type of the contour line, and recording the length if the contour line is a straight line; if the circle is a closed circle, recording the diameter;
two faces sharing one contour line (each contour line is the contour line of the two faces) are found, and the two faces are recorded as adjacent faces.
And reconstructing the metadata obtained by analysis:
sorting the types of all faces starting from any face, the result being plane-table-face-cylinder-table-face-ring-plane-cylinder-table-face- … … ring-curved- … …, combined into a model geometry, and stored into a first data container;
and carrying out fuzzy cycle pairing on the data in the previous step and the characteristic data in the database, wherein the 'round table surface-cylindrical surface-round table surface-circular ring surface-cylindrical surface-round table surface' in the data sequence in the result step is matched with the characteristics of the screw hole 1, and more than 5 connected circular ring curved surfaces in the 'circular ring curved surface- … …' are matched with the characteristics of the oil groove 2.
After the screw hole 1 and the oil groove 2 are identified, a drilling process and a milling process (shown in the following table) can be automatically added in a part process by combining other tools, and meanwhile, relevant characteristic information is written into a three-dimensional model so as to realize automatic programming of subsequent processing.
Process number Name of procedure Production resources Content of processing
1 Material preparation / Detecting blank size, flatness, etc
2 Drilling holes Drilling machine And (4) processing a screw cup head hole.
3 Milling Horizontal machining center Processing oil groove
4 Character drying device External cooperation FBXDDXK
5 Thermal treatment External cooperation Nitridizing to HV 700-800
6 Polishing of External cooperation Polishing to B1 grade
7 Post-treatment Bench worker Complete the remaining chamfering and the like
For the specific analytic reconstruction of other parts, according to specific application types, reference can be made to the specific analytic reconstruction description of the inner hexagon screw and the slide block guide block part.
Referring to fig. 6, fig. 6 is a block diagram illustrating a mold manufacturing apparatus according to an exemplary embodiment, and as shown in fig. 6, the mold manufacturing apparatus 6 includes:
an obtaining module 601, configured to obtain a three-dimensional model of a mold;
the analysis module 602 is configured to perform multidimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model in multiple dimensions;
a reconstruction module 603, configured to perform reconstruction processing according to the parsed metadata to generate a digital model;
an application module 604, configured to perform an application process of mold manufacturing according to the digital model.
Further, in the parsing module 602, the performing multi-dimensional parsing on the three-dimensional model includes at least two of the following dimensional parsing:
a third dimension resolution comprising one or more of: model weight, model volume and centroid position of the three-dimensional model;
second dimension resolution, including one or more of: the number of two-dimensional surfaces forming the three-dimensional model, the area, the type and the color of each two-dimensional surface, and the relative relationship between each two surfaces;
a first dimension resolution comprising one or more of: the number of one-dimensional contour lines forming each two-dimensional surface, the length, type, color and line width of each contour line and the relative relationship between every two contour lines;
a zeroth dimension resolution comprising one or more of: the number of points that make up each contour edge, the sum of the points of all contour edges.
Further, the reconstruction module 603 is specifically configured to:
processing the analyzed metadata through a first preset algorithm to obtain feature data;
and matching the characteristic data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching processing result.
Further, the first preset algorithm includes: one or more of sorting, ranking, combining, and transforming algorithms.
Further, the matching the feature data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching result includes:
and circularly pairing the characteristic data with the characteristic data of the typical parts in the digital model database through an accurate or fuzzy matching algorithm, and if the pairing is successful, writing the paired typical part information into the three-dimensional model to generate the digital model.
Further, the feature data includes: geometric feature data, and/or attribute feature data.
Further, the application module 604 is specifically configured to:
and designing, preparing materials or compiling a process for manufacturing the die according to the digital model.
Further, still include:
the determining module 605 is configured to obtain an application type of mold manufacturing, and determine a dimension and a depth of the three-dimensional model analysis and a metadata reconstruction form according to the application type.
With regard to the mold manufacturing processing apparatus 6 in the above-described embodiment, the specific manner in which the respective modules perform the operations has been described in detail in the embodiment related to the method, and will not be described in detail here.
Referring to fig. 7, fig. 7 is a block diagram illustrating a mold manufacturing processing server according to an exemplary embodiment, and as shown in fig. 7, the mold manufacturing processing server 7 includes:
one or more memories 701 having executable programs stored thereon;
one or more processors 702 configured to execute the executable programs in the memory 701 to implement the steps of any of the methods described above.
With regard to the mold manufacturing processing server 7 in the above embodiment, the specific manner in which the processor 702 thereof executes the program in the memory 701 has been described in detail in the embodiment related to the method, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means 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 application. 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.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A mold manufacturing process method, characterized in that the method comprises:
obtaining a three-dimensional model of a mold;
carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions;
carrying out reconstruction processing according to the analyzed metadata to generate a digital model;
and carrying out application processing of die manufacturing according to the digital model.
2. The method of claim 1, wherein the multi-dimensional parsing of the three-dimensional model comprises at least two of the following dimensional resolutions:
a third dimension resolution comprising one or more of: model weight, model volume and centroid position of the three-dimensional model;
second dimension resolution, including one or more of: the number of two-dimensional surfaces forming the three-dimensional model, the area, the type and the color of each two-dimensional surface, and the relative relationship between each two surfaces;
a first dimension resolution comprising one or more of: the number of one-dimensional contour lines forming each two-dimensional surface, the length, type, color and line width of each contour line and the relative relationship between every two contour lines;
a zeroth dimension resolution comprising one or more of: the number of points that make up each contour edge, the sum of the points of all contour edges.
3. The method of claim 1, wherein the performing reconstruction processing from the parsed metadata to generate the digitized model comprises:
processing the analyzed metadata through a first preset algorithm to obtain feature data;
and matching the characteristic data by using a preset digital model database through a second preset algorithm, and generating the digital model according to a matching processing result.
4. The method of claim 3, wherein the first pre-set algorithm comprises: one or more of sorting, ranking, combining, and transforming algorithms.
5. The method according to claim 3, wherein the matching the feature data with a preset digital model database through a second preset algorithm, and generating the digital model according to a matching result comprises:
and circularly pairing the characteristic data with the characteristic data of the typical parts in the digital model database through an accurate or fuzzy matching algorithm, and if the pairing is successful, writing the paired typical part information into the three-dimensional model to generate the digital model.
6. The method according to any of claims 3-5, wherein the characterization data comprises: geometric feature data, and/or attribute feature data.
7. The method of claim 1, wherein the applying a mold fabrication process according to the digital model comprises:
and designing, preparing materials or compiling a process for manufacturing the die according to the digital model.
8. The method of claim 1 or 7, further comprising: and acquiring the application type of the mold manufacturing, and determining the dimension and the depth of the three-dimensional model analysis and the metadata reconstruction form according to the application type.
9. A mold manufacturing processing apparatus, comprising:
the acquisition module is used for acquiring a three-dimensional model of the mold;
the analysis module is used for carrying out multi-dimensional analysis on the three-dimensional model to obtain metadata of the three-dimensional model on multiple dimensions;
the reconstruction module is used for carrying out reconstruction processing according to the analyzed metadata so as to generate a digital model;
and the application module is used for carrying out application processing of mold manufacturing according to the digital model.
10. A mold manufacturing process server, comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of the method of any one of claims 1-8.
CN202011112751.4A 2020-10-16 2020-10-16 Mold manufacturing processing method and device and server Pending CN112258629A (en)

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