CN114565354A - Process parameter determination method and device, electronic equipment and storage medium - Google Patents
Process parameter determination method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114565354A CN114565354A CN202210172738.0A CN202210172738A CN114565354A CN 114565354 A CN114565354 A CN 114565354A CN 202210172738 A CN202210172738 A CN 202210172738A CN 114565354 A CN114565354 A CN 114565354A
- Authority
- CN
- China
- Prior art keywords
- mold
- target
- parameters
- information
- process parameters
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 249
- 230000008569 process Effects 0.000 title claims abstract description 218
- 238000003860 storage Methods 0.000 title claims abstract description 22
- 238000001746 injection moulding Methods 0.000 claims abstract description 93
- 239000000463 material Substances 0.000 claims abstract description 75
- 238000004088 simulation Methods 0.000 claims abstract description 63
- 238000012360 testing method Methods 0.000 claims abstract description 58
- 238000004519 manufacturing process Methods 0.000 claims abstract description 46
- 238000004590 computer program Methods 0.000 claims description 15
- 238000002347 injection Methods 0.000 claims description 14
- 239000007924 injection Substances 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 12
- 238000000465 moulding Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 7
- 239000004033 plastic Substances 0.000 description 6
- 229920003023 plastic Polymers 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 239000004743 Polypropylene Substances 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000007493 shaping process Methods 0.000 description 4
- -1 polypropylene Polymers 0.000 description 3
- 239000004793 Polystyrene Substances 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000004417 polycarbonate Substances 0.000 description 2
- 229920006324 polyoxymethylene Polymers 0.000 description 2
- 229920001155 polypropylene Polymers 0.000 description 2
- 239000004800 polyvinyl chloride Substances 0.000 description 2
- 229920000915 polyvinyl chloride Polymers 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 229930040373 Paraformaldehyde Natural products 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000012994 photoredox catalyst Substances 0.000 description 1
- 229920000515 polycarbonate Polymers 0.000 description 1
- 229920002223 polystyrene Polymers 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Injection Moulding Of Plastics Or The Like (AREA)
Abstract
The embodiment of the invention discloses a method and a device for determining process parameters, electronic equipment and a storage medium, and particularly relates to the technical field of intelligent manufacturing, wherein the method comprises the following steps: acquiring query elements, wherein the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In the embodiment of the invention, the basic process parameters are matched from the production process historical data based on the multi-dimensional elements (the mold information, the injection molding machine information and the material information), the basic process parameters and the simulation process parameters are combined to determine the mold testing process parameters, the production process historical data and the simulation data are adopted, the multi-dimensional elements are considered, the accuracy of the determined mold testing process parameters is improved, and the labor cost is reduced.
Description
Technical Field
The present invention relates to manufacturing technologies, and in particular, to a method and an apparatus for determining process parameters, an electronic device, and a storage medium.
Background
In the field of production and manufacturing, a mold needs to be tested after the assembly of the mold is completed, some mold testing process parameters can be determined according to simulation data when the mold is tested at present, and some process parameters are obtained through blind trial of a technician. The test mold process parameters determined by the simulation data are only theoretical data and are not accurate enough, and the reference value is not high; the process parameters are blindly searched out by a craftsman, the labor cost is high, and the efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining process parameters, electronic equipment and a storage medium, which can improve the accuracy of the determined mold testing process parameters, improve the mold testing efficiency and reduce the labor cost.
In a first aspect, an embodiment of the present invention provides a method for determining process parameters, including:
acquiring query elements, wherein the query elements comprise mold information, injection molding machine information and material information;
extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters;
acquiring simulation process parameters of a target mold;
and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
In a second aspect, an embodiment of the present invention provides a process parameter determining apparatus, including:
the element acquisition module is used for acquiring query elements, and the query elements comprise mold information, injection molding machine information and material information;
the parameter extraction module is used for extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters;
the parameter acquisition module is used for acquiring simulation process parameters of the target mold;
and the parameter determining module is used for determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the method for determining process parameters according to any one of the embodiments of the present invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining process parameters according to any one of the embodiments of the present invention.
In the embodiment of the invention, query elements can be obtained, wherein the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In other words, in the embodiment of the invention, the basic process parameters can be matched from the production process historical data based on the multi-dimensional elements (the mold information, the injection molding machine information and the material information), the basic process parameters and the simulation process parameters are combined to determine the trial mold process parameters of the target mold, the production process historical data and the simulation data are adopted, and the multi-dimensional elements are considered, so that the accuracy of the determined trial mold process parameters is improved, the trial mold efficiency is improved, and the labor cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a method for determining process parameters according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart diagram of a method for determining process parameters according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an effect of a process parameter query interface according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating an effect of a process parameter feedback interface provided in an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a process parameter determining apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic flow chart of a process parameter determining method provided in an embodiment of the present invention, which may be implemented by a process parameter determining apparatus provided in an embodiment of the present invention, and the apparatus may be implemented in software and/or hardware. In a specific embodiment, the apparatus may be integrated in an electronic device, which may be a computer, a server, or the like. The following embodiments will be described by taking as an example that the apparatus is integrated in an electronic device, and referring to fig. 1, the method may specifically include the following steps:
Illustratively, a terminal (such as a mobile phone, a personal computer, etc.) may have a process parameter query application installed thereon, the application having a query interface, a user may input a query element at a corresponding position of the query interface and trigger a query, and the terminal sends a query request to the electronic device according to a query operation of the user, where the query request includes the query element. The electronic device, upon receiving the query request, can extract query elements contained in the query request.
The query elements may include mold information, injection molding machine information, and material information. The mold information may be identification information of the mold, and the identification information of the mold may include a name, a model, a kind, a number, and the like of the mold; the injection molding machine information can be identification information of the injection molding machine, and the identification information of the injection molding machine can comprise the name, the model, the type, the serial number and the like of the injection molding machine; the material information may be attribute information of the material, and the attribute information of the material may include a name, a type, a number, a gram weight, and the like of the material.
In a specific embodiment, the mold information is determined according to the target mold, such as according to the name, model, number, type, etc. of the target mold; the injection molding machine information is determined according to the injection molding machine adapted to the target mold, such as the name, type, serial number, model, etc. of the injection molding machine adapted to the target mold; the material information is determined according to the test material of the target mold, such as the name, type, number, gram weight, and the like of the test material of the target mold. The target mold can be any one mold needing to be tested, the target mold and the matched injection molding machine can be matched to produce corresponding injection molding products, the injection molding products comprise but are not limited to household appliance accessories, vehicle accessories and the like, and specific accessories comprise a temperature-changing inner container, a wave wheel, a lampshade, a base, a balance ring, a sundry box and the like.
And 102, extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters.
For example, the production process history data may include production process history data of various molds, for example, process history data of various molds for producing injection molding products by using various materials on the adapted injection molding machines may be included, the production process history data may be uploaded to the electronic device through a terminal by a relevant person, and the production process history data may be stored in a database corresponding to the electronic device, for example, the production process history data may be stored in the database according to classification of mold information, injection molding machine information, material information, and the like. Specifically, after obtaining the mold information, the injection molding machine information, and the material information in the query element, data matching the mold information, the injection molding machine information, and the material information may be extracted from the database to obtain the basic process parameters.
And 103, acquiring simulation process parameters of the target mold.
For example, the injection molding process of the target mold may also be simulated by using simulation software, such as Computer Aided Engineering (CAE) software, to obtain simulated process parameters of the target mold.
And step 104, determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
In practical applications, the basic process parameters may include an intermediate process parameter and a first target process parameter, where the intermediate process parameter refers to a process parameter that needs to be calculated to direct actual production, and the target process parameter refers to a process parameter that can directly direct actual production. Specifically, after obtaining the basic process parameters, the following treatment can be performed:
calculating the intermediate process parameters to obtain second target process parameters;
and determining the target process parameter according to the first target process parameter and the second target process parameter.
Namely, the second target process parameter can be calculated according to the intermediate process parameter, and a parameter set formed by the first target process parameter and the second target process parameter is used as the target process parameter. Illustratively, the target process parameter may include at least one of an injection parameter, a holding pressure parameter, a stock parameter, a molding parameter, and a transfer holding pressure position. Wherein, the parameter of spouting can include the injection pressure, speed, position, time etc. of each stage of moulding plastics, and the pressurize parameter can include the pressurize pressure, time, the speed etc. of each stage of moulding plastics, and storage parameter can include the storage pressure, speed, the position of each stage of moulding plastics, and feed cylinder temperature, hot runner temperature etc. and the shaping parameter can include open and shut mould time, ejecting time, cooling time, shaping time etc.. The number of injection molding stages may vary depending on the injection molded product to be produced by the target mold. For example, some injection molded products may include three to four injection molding stages, and some injection molded products may include five to six injection molding stages. Finally, the trial mold technological parameters of the target mold can be determined according to the target technological parameters and the simulation technological parameters.
Specifically, the types of the target process parameter and the simulation process parameter may be different, the target process parameter and the simulation process parameter may be unified into a unified type, and the mold testing process parameter of the target mold is determined according to the target process parameter and the simulation process parameter after the unified types. For example, the target process parameter may be a specific pressure value of two stages, and the simulation process parameter is a pressure ratio of two stages, so that the specific pressure values of two stages in the target process parameter may be converted into the pressure ratio of two stages, and the test mold process parameter may be determined according to the converted target process parameter and the simulation process parameter.
When the trial mold process parameters are determined, the average value of the corresponding values in the target process parameters and the simulation process parameters can be taken, corresponding weights can be set for the target process parameters and the simulation process parameters, and the trial mold process parameters can be determined according to the target process parameters, the simulation process parameters and the corresponding weights.
In the embodiment of the invention, query elements can be obtained, wherein the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In other words, in the embodiment of the invention, the basic process parameters can be matched from the production process historical data based on the multi-dimensional elements (the mold information, the injection molding machine information and the material information), the basic process parameters and the simulation process parameters are combined to determine the trial mold process parameters of the target mold, the production process historical data and the simulation data are adopted, and the multi-dimensional elements are considered, so that the accuracy of the determined trial mold process parameters is improved, the trial mold efficiency is improved, and the labor cost is reduced.
The process parameter determining method provided in the embodiment of the present invention is further described below, and as shown in fig. 2, the process parameter determining method of the embodiment may include the following steps:
For example, a query request sent by a terminal may be received, where the query request may include query elements, and the query elements may include mold information, injection molding machine information, and material information. The mold information may be identification information of the mold, and the identification information of the mold may include a name, a model, a kind, a number, and the like of the mold; the injection molding machine information can be identification information of the injection molding machine, and the identification information of the injection molding machine can comprise the name, the model, the type, the serial number and the like of the injection molding machine; the material information may be attribute information of the material, and the attribute information of the material may include a name, a type, a number, a gram weight, and the like of the material.
For example, taking the mold information as the mold type, the injection molding machine information as the injection molding machine model, and the material information as the name and the gram weight of the material as examples, a process parameter query application may be installed on the terminal, and the application has a query interface, and the query interface may be, for example, as shown in fig. 3. The user can select the type of the mold in the option frame corresponding to the type of the mold according to the type of the target mold, select the model of the injection molding machine in the option frame corresponding to the equipment according to the injection molding machine in which the target mold is installed, select the name of the material in the option frame corresponding to the material according to the model testing material of the target mold, and input the gram weight in the input frame corresponding to the gram weight according to the gram weight of the model testing material.
For example, the types of the mold may include a temperature-changing liner, a temperature-changing decoration strip, a wave wheel component, a wave wheel protecting cover, a drawer body, a lampshade, a base, an air duct cover plate, a viewing window screen, etc. (that is, the name of the produced injection molding product may be used to name the mold), the types of the apparatus may include 110T, 200T, 300T, 450T, 600T, 800T, etc., and the material name may include PP: polypropylene, PS: polystyrene, POM: polyoxymethylene, PVC: polyvinyl chloride, PC: polycarbonates, and the like.
Wherein, the gram weight M of the test mold material can be calculated according to the following formula:
M＝ρ*v；
ρ represents the material density and v represents the material volume.
V＝π*r2*l；
Pi represents the circumference ratio, r is the screw radius of the injection molding machine, and l represents the material height.
In addition, many products stick to the front mold or stick to the back mold without being filled at one time, and therefore it is also necessary to know the product metering before starting the commissioning. Specifically, the metering value L of the injection molding machine, which may represent the shot volume metering of the injection molding machine, may be calculated according to the following formula:
L＝M/(ρ·πr2)。
The production process history data may include production process history data of various molds, for example, process history data of various molds for producing injection molding products by using various materials on each adaptive injection molding machine, the production process history data may be uploaded to the electronic device by a relevant person through a terminal, and the production process history data may be stored in a database corresponding to the electronic device, for example, the production process history data may be stored in the database according to classification of mold information, injection molding machine information, material information, and the like. Specifically, after obtaining the mold information, the injection molding machine information, and the material information in the query element, data matching the mold information, the injection molding machine information, and the material information may be extracted from the database to obtain the basic process parameters. The intermediate process parameters refer to process parameters which are extracted from production process historical data and can guide actual production only through calculation processing, and the target process parameters refer to process parameters which are extracted from the production process historical data and can directly guide actual production.
And 203, calculating the intermediate process parameters to obtain second target process parameters.
For example, the intermediate process parameters may include, for example, a device pressure, a minimum pressure ratio, a velocity pressure ratio, a device tonnage, a mold opening and closing time ratio, etc., the stock pressure, the stock velocity, etc. may be calculated according to the device pressure, the injection pressure may be calculated according to the device pressure, the minimum pressure ratio, the velocity pressure ratio, etc., and the mold opening and closing time may be calculated according to the device tonnage and the mold opening and closing time ratio.
That is, a parameter set composed of the first target process parameter and the second target process parameter may be used as the target process parameter. The target process parameter may include at least one of an injection parameter, a pressure maintaining parameter, a material storing parameter, a molding parameter, and a pressure maintaining position. Wherein, the parameter of spouting can include the injection pressure, speed, position, time etc. of each stage of moulding plastics, and the pressurize parameter can include the pressurize pressure, time, the speed etc. of each stage of moulding plastics, and storage parameter can include the storage pressure, speed, the position of each stage of moulding plastics, and feed cylinder temperature, hot runner temperature etc. and the shaping parameter can include open and shut mould time, ejecting time, cooling time, shaping time etc.. The number of injection molding stages may vary depending on the injection molded product to be produced by the target mold. For example, some injection molded products may include three to four injection molding stages, and some injection molded products may include five to six injection molding stages.
For example, in the process of determining the target process parameter, the calculation method of the involved part of the process parameters may be as shown in table 1 below:
TABLE 1
As shown in table 1, i represents the ith injection molding stage, the value interval of i is [1, N ], N represents the total number of injection molding stages, and N is an integer greater than 1.
Illustratively, suppose the query elements are as follows: the type of the mould is an integrated barrel, the model of the injection molding machine is 1800T, and the material is PP: if the grammage of the polypropylene and the material is 5000, the query result returned based on the query element can be as shown in fig. 4, and includes an injection parameter, a pressure maintaining parameter, a storage parameter, a molding parameter, a pressure maintaining position and the like.
In step 205, a first weight set for the target process parameter is obtained, and a second weight set for the simulation process parameter is obtained.
The first weight and the second weight may be set according to experience or actual conditions, and may be the same or different, and the sum of the first weight and the second weight may be 1.
And step 206, determining the trial molding process parameters of the target mold by combining the target process parameters, the first weight, the simulation process parameters and the second weight.
For example, the product of the target process parameter and the first weight and the product of the simulated process parameter and the second weight may be summed to obtain the trial mold process parameter of the target mold. In addition, the determined mold testing technological parameters can also comprise a metering value L of the injection molding machine, the metering value L of the injection molding machine is calculated according to the thickness of a screw of the injection molding machine and the density performance of materials, and the metering value L is used as a mold testing technological parameter, so that some devices with small metering and large mold clamping force can be avoided in advance, and the probability of mold testing failure is reduced.
And step 207, controlling the injection molding machine to test the target mold based on the mold testing technological parameters.
For example, the mold testing technological parameters can be transmitted to the user terminal, so that field operators corresponding to the user terminal can debug the injection molding machine according to the mold testing technological parameters, and a target mold installed on the injection molding machine can be tested.
In addition, a mold testing process reference data (such as a mold testing process reference book) of the target mold can be generated based on the mold testing process parameters, and the generated mold testing process reference data can be used for guiding field operators to debug the injection molding machine during mold testing of the target mold.
The method provided by the embodiment of the invention can be used for issuing a first-test process parameter by combining simulation software according to different equipment (injection molding machines) in a workshop and different injection molding machine screw rod thicknesses of different manufacturers and corresponding to different products, can greatly reduce the mold holding phenomenon caused when first-test metering cannot be determined, can directly form a plurality of products at one time, locks the process, can inform the theoretically optimal gate opening sequence of the products with multiple gates in time, and has guiding significance for mold testing.
In addition, the technological parameters of the on-site test of the target mold can be fed back to the simulation software to guide the setting and/or adjustment of the simulation factors related to the simulation software, and careless mistakes in the simulation analysis can be repaired, so that the usability and the accuracy of the simulation data are improved, the mold testing speed is improved, and the risk of the mold clamping and holding of the test mold is reduced.
It should be noted that, in the embodiment of the present invention, in order to improve the accuracy of the mold testing process parameters, the target process parameters and the simulation process parameters are combined to determine the mold testing process parameters, and in practical application, the target process parameters may also be directly determined as the mold testing process parameters, which is not specifically limited herein.
In the embodiment of the invention, query elements can be obtained, wherein the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In other words, in the embodiment of the invention, the basic process parameters can be matched from the production process historical data based on the multi-dimensional elements (the mold information, the injection molding machine information and the material information), the basic process parameters and the simulation process parameters are combined to determine the trial mold process parameters of the target mold, the production process historical data and the simulation data are adopted, and the multi-dimensional elements are considered, so that the accuracy of the determined trial mold process parameters is improved, the trial mold efficiency is improved, and the labor cost is reduced.
Fig. 5 is a structural diagram of a process parameter determining apparatus according to an embodiment of the present invention, which is suitable for performing the process parameter determining method according to the embodiment of the present invention. As shown in fig. 5, the apparatus may specifically include:
the element acquiring module 401 is configured to acquire query elements, where the query elements include mold information, injection molding machine information, and material information;
a parameter extraction module 402, configured to extract matching data from production process history data based on the mold information, the injection molding machine information, and the material information, so as to obtain basic process parameters;
a parameter obtaining module 403, configured to obtain simulation process parameters of the target mold;
a parameter determining module 404, configured to determine a mold testing process parameter of the target mold according to the basic process parameter and the simulation process parameter.
In one embodiment, the basic process parameters include an intermediate process parameter and a first target process parameter, and the apparatus further includes:
the parameter processing module is used for calculating the intermediate process parameters to obtain second target process parameters; determining target process parameters according to the first target process parameters and the second target process parameters;
the parameter determining module 404 is specifically configured to:
and determining the mold testing technological parameters of the target mold according to the target technological parameters and the simulation technological parameters.
In an embodiment, the parameter determining module 404 is specifically configured to:
acquiring a first weight set for the target process parameter and acquiring a second weight set for the simulation process parameter;
and determining the trial model process parameters by combining the target process parameters, the first weight, the simulation process parameters and the second weight.
In one embodiment, the target process parameter includes at least one of an injection parameter, a holding pressure parameter, a stock parameter, a molding parameter, and a transfer holding pressure position.
In one embodiment, the mold information is determined according to the target mold, the injection molding machine information is determined according to an injection molding machine adapted to the target mold, and the material information is determined according to a test material of the target mold.
In one embodiment, the apparatus further comprises:
and the control module is used for controlling the injection molding machine to test the target mold based on the mold testing technological parameters.
In one embodiment, the apparatus further comprises:
and the generating module is used for generating the test mold process reference data of the target mold based on the test mold process parameters.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the functional module, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
The device of the embodiment of the invention can obtain the query elements, wherein the query elements comprise the mold information, the injection molding machine information and the material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In other words, in the embodiment of the invention, basic process parameters can be matched from production process historical data based on multi-dimensional elements (mold information, injection molding machine information and material information), then the basic process parameters and simulation process parameters are combined to determine the trial mold process parameters of the target mold, meanwhile, the production process historical data and the simulation data are adopted, and the multi-dimensional elements are considered, so that the accuracy of the determined trial mold process parameters is improved, the trial mold efficiency is improved, and the labor cost is reduced.
The embodiment of the invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the process parameter determination method provided by any one of the embodiments is realized.
The embodiment of the invention also provides a computer readable medium, on which a computer program is stored, and the program is executed by a processor to implement the process parameter determination method provided by any one of the above embodiments.
Referring now to FIG. 6, shown is a block diagram of a computer system 500 suitable for use in implementing an electronic device of an embodiment of the present invention. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present invention, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules and/or units described in the embodiments of the present invention may be implemented by software, and may also be implemented by hardware. The described modules and/or units may also be provided in a processor, and may be described as: a processor includes an element acquisition module, a parameter extraction module, a parameter acquisition module, and a parameter determination module. Wherein the names of the modules do not in some cases constitute a limitation of the module itself.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring query elements, wherein the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
According to the technical scheme of the embodiment of the invention, the query elements can be obtained, and the query elements comprise mold information, injection molding machine information and material information; extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters; acquiring simulation process parameters of a target mold; and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters. In other words, in the embodiment of the invention, the basic process parameters can be matched from the production process historical data based on the multi-dimensional elements (the mold information, the injection molding machine information and the material information), the basic process parameters and the simulation process parameters are combined to determine the trial mold process parameters of the target mold, the production process historical data and the simulation data are adopted, and the multi-dimensional elements are considered, so that the accuracy of the determined trial mold process parameters is improved, the trial mold efficiency is improved, and the labor cost is reduced.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining process parameters is characterized by comprising the following steps:
acquiring query elements, wherein the query elements comprise mold information, injection molding machine information and material information;
extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters;
acquiring simulation process parameters of a target mold;
and determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
2. The method of claim 1, wherein the base process parameters comprise an intermediate process parameter and a first target process parameter, and after obtaining the base process parameters, further comprising:
calculating the intermediate process parameter to obtain a second target process parameter;
determining target process parameters according to the first target process parameters and the second target process parameters;
the step of determining the trial mold technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters comprises the following steps:
and determining the mold testing technological parameters of the target mold according to the target technological parameters and the simulation technological parameters.
3. The method of claim 2, wherein said determining the trial mold process parameters of the target mold according to the target process parameters and the simulation process parameters comprises:
acquiring a first weight set for the target process parameter and acquiring a second weight set for the simulation process parameter;
and determining the trial model process parameters by combining the target process parameters, the first weight, the simulation process parameters and the second weight.
4. The method of claim 2 or 3, wherein the target process parameter comprises at least one of an injection parameter, a dwell pressure parameter, a stock material parameter, a forming parameter, a dwell position.
5. The method of claim 1, wherein the mold information is determined from the target mold, the injection molding machine information is determined from an injection molding machine to which the target mold is adapted, and the material information is determined from a trial mold material of the target mold.
6. The method of claim 1, further comprising:
and controlling the injection molding machine to test the target mold based on the mold testing technological parameters.
7. The method of claim 1, further comprising:
and generating the test mold process reference data of the target mold based on the test mold process parameters.
8. A process parameter determination apparatus, comprising:
the element acquisition module is used for acquiring query elements, and the query elements comprise mold information, injection molding machine information and material information;
the parameter extraction module is used for extracting matching data from historical production process data based on the mold information, the injection molding machine information and the material information to obtain basic process parameters;
the parameter acquisition module is used for acquiring simulation process parameters of the target mold;
and the parameter determining module is used for determining the mold testing technological parameters of the target mold according to the basic technological parameters and the simulation technological parameters.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of determining process parameters of any of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for determining process parameters according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210172738.0A CN114565354A (en) | 2022-02-24 | 2022-02-24 | Process parameter determination method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210172738.0A CN114565354A (en) | 2022-02-24 | 2022-02-24 | Process parameter determination method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114565354A true CN114565354A (en) | 2022-05-31 |
Family
ID=81716520
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210172738.0A Pending CN114565354A (en) | 2022-02-24 | 2022-02-24 | Process parameter determination method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114565354A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730738A (en) * | 2022-11-30 | 2023-03-03 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Process parameter determination method, device, computer equipment and storage medium |
-
2022
- 2022-02-24 CN CN202210172738.0A patent/CN114565354A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730738A (en) * | 2022-11-30 | 2023-03-03 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Process parameter determination method, device, computer equipment and storage medium |
| CN115730738B (en) * | 2022-11-30 | 2024-01-05 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Process parameter determination method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107491610B (en) | Car panel die intelligent design system and design method | |
| Mok et al. | An interactive knowledge-based CAD system for mould design in injection moulding processes | |
| CN109213805A (en) | A kind of method and device of implementation model optimization | |
| CN114565354A (en) | Process parameter determination method and device, electronic equipment and storage medium | |
| TW202022633A (en) | Optimization method and module thereof based on feature extraction and machine learning | |
| Gao et al. | Process parameters optimization using a novel classification model for plastic injection molding | |
| CN117162428A (en) | Cooling control method and system for plastic injection mold | |
| CN112434391B (en) | Method for recommending technological parameters based on similarity comparison of injection molded parts | |
| CN113283162B (en) | Plastic optical lens surface shape error prediction method, electronic device and storage medium | |
| CN115964882A (en) | Process parameter design optimization method, processor and manufacturing equipment | |
| US20200290257A1 (en) | Moulding-parameters processing method for an injection press | |
| CN113836605A (en) | Intelligent management system for gear metal powder injection molding | |
| KR102205929B1 (en) | A Smart Injection Molding Manufacturing System and A Injection Molding Manufacturing Method Using That | |
| US20210213662A1 (en) | Method for controlling a machine for processing plastics | |
| CN115408842A (en) | Method for analyzing similarity of characteristics of injection molding simulation process | |
| US11986986B2 (en) | Injection molding system and setting support method for injection molding machine | |
| CN114218815A (en) | ABAQUS-based wear simulation method | |
| CN114953381A (en) | Modulus optimization method for fiber reinforced resin injection molding part | |
| CN114036680A (en) | Refrigerator car carriage design system and design method | |
| US20200391423A1 (en) | Procedure for checking the suitability of a shaping tool | |
| CN112506979A (en) | Recommendation method and device for mold design | |
| CN113748008A (en) | Software implementation method for processing simulation results created by finite element analysis software | |
| JP3354599B2 (en) | Operating condition optimization system for processing machines | |
| CN113762609A (en) | Product quality prediction method and device | |
| CN117495464A (en) | Injection mold and quick accounting system of product cost |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |