CN110142940B - Good product detection method and device applied to injection mold - Google Patents
Good product detection method and device applied to injection mold Download PDFInfo
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- CN110142940B CN110142940B CN201910299912.6A CN201910299912A CN110142940B CN 110142940 B CN110142940 B CN 110142940B CN 201910299912 A CN201910299912 A CN 201910299912A CN 110142940 B CN110142940 B CN 110142940B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
- B29C45/768—Detecting defective moulding conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
- B29C45/78—Measuring, controlling or regulating of temperature
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- Injection Moulding Of Plastics Or The Like (AREA)
Abstract
The application relates to the technical field of production data management, in particular to a good product detection method and device applied to an injection mold, and the method comprises the steps of obtaining a glue injection action and a glue injection distance of the injection mold, and judging whether the glue injection action is in an opening state or not and whether the glue injection distance is within a set distance range or not; acquiring the mold temperature of the injection mold, and judging whether the mold temperature is within a set mold temperature range; acquiring the temperature of a molten gel barrel of the injection mold, and judging whether the temperature of the molten gel barrel is within a set temperature range of the molten gel barrel; when three conditions that the glue injection distance is within a set distance range, the mold temperature is within a set mold temperature range and the melt glue barrel temperature is within a set melt glue barrel temperature range are met when the glue injection movement is in an opening state, the current product is determined to be a good product. This application can judge automatically whether the product of when the time of production is the yields, and can realize detecting a plurality of production facility simultaneously, monitors the product quality of each production facility in batches.
Description
[ technical field ] A method for producing a semiconductor device
The application relates to the technical field of production data management, in particular to a good product detection method and device applied to an injection mold.
[ background of the invention ]
In order to ensure the product quality, an injection mold production line is generally provided with a quality inspection post for detecting the defects of products regularly or irregularly, counting the quantity of qualified products (namely good products) and monitoring the quality of the products in time, but the existing mode of detecting the product quality manually on line has the problems of untimely recording and transmission and difficulty in monitoring a plurality of production devices simultaneously.
[ summary of the invention ]
In order to solve the above technical problems, an object of the present application is to provide a good product detection method and device applied to an injection mold.
The application is realized by the following technical scheme:
the good product detection method applied to the injection mold comprises the following steps:
s1, acquiring a glue injection action and a glue injection distance of the injection mold, and judging whether the glue injection distance is within a set distance range when the glue injection action is in an opening state;
s2, obtaining the mold temperature of the injection mold, and judging whether the mold temperature is within the set mold temperature range;
s3, obtaining the temperature of the molten rubber barrel of the injection mold, and judging whether the temperature of the molten rubber barrel is within a set temperature range of the molten rubber barrel;
and S4, when the three conditions that the glue injecting distance is within a set distance range, the mould temperature is within a set mould temperature range and the melting glue barrel temperature is within a set melting glue barrel temperature range when the glue injecting action is in an opening state are met, determining that the secondary product is a good product.
The method for detecting good products applied to the injection mold includes the steps of performing step S1 at set time intervals, retrieving data between two spaced glue injection actions in a continuous closing state and recording the data as an nth mold, and setting a good product identification code corresponding to a glue injection action in a first opening state in the nth mold to be a value when a glue injection distance corresponding to a glue injection action in an opening state in the nth mold is within a set distance range, wherein N is greater than or equal to 0;
and when the glue injecting distance corresponding to the glue injecting action in the opening state in the Nth die is out of the set distance range, setting the good product identification code corresponding to the glue injecting action in the first opening state in the Nth die to be a no value.
In the method for detecting a good product applied to an injection mold, the step S2 is performed at a set time interval, and when the mold temperature of the injection mold in the nth mold is within a set mold temperature range, the good product identification code corresponding to the injection operation in the first opening state in the nth mold is set to be a positive value;
and when the mold temperature of the injection mold in the Nth mold is out of the set mold temperature range, setting the non-defective product identification code of the injection action corresponding to the first opening state in the Nth mold as a negative value.
In the method for detecting a good product applied to an injection mold, the step S3 is performed at a set time interval, and when the temperature of the glue barrel of the injection mold in the nth mold is within a set glue barrel temperature range, the good product identification code corresponding to the glue injection operation in the first opening state in the nth mold is set to be a positive value;
when the temperature of a glue melting barrel of the injection mold in the Nth mold is out of the temperature range of the set glue melting barrel, setting a good product identification code of a glue injection action corresponding to a first opening state in the Nth mold as a negative value;
when the good product identification codes corresponding to the glue injection action in the first opening state in the nth die are all values after the steps of S1, S2 and S3, determining that the product of the nth die is good.
According to the good product detection method applied to the injection mold, the acquired glue injection distance data is obtained through detection of the glue injection encoder.
In step S4, when the glue injection is in the open state, the glue injection distance is out of the set distance range, the mold temperature is out of the set mold temperature range, and the melt adhesive barrel temperature is out of the set melt adhesive barrel temperature range, the defective product is determined as a defective product, and an alarm signal is sent.
The method for detecting good products applied to the injection mold further includes step S5: and acquiring the judgment information of the step S4 in each production, and accumulating the information of judging the current product as a good product to calculate the number of the good products in the current production.
The application still provides the non-defective products detection device who is applied to injection mold, includes:
the injection distance acquisition module is used for acquiring injection actions and injection distances of the injection mold, and judging whether the injection actions are in an opening state and whether the injection distances are within a set distance range;
the mold temperature acquisition module is used for acquiring the mold temperature of the injection mold and judging whether the mold temperature is within a set mold temperature range;
the molten rubber barrel temperature acquisition module is used for acquiring the temperature of the molten rubber barrel of the injection mold and judging whether the temperature of the molten rubber barrel is within a set molten rubber barrel temperature range or not;
and the good product judging module is used for judging that the secondary product is a good product when three conditions that the glue injection distance is within a set distance range, the mould temperature is within a set mould temperature range and the melt glue barrel temperature is within a set melt glue barrel temperature range are met when the glue injection action is in an opening state.
The application also provides good product detection terminal equipment applied to the injection mold, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the good product detection method applied to the injection mold is realized when the processor executes the computer program.
The present application further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the method for detecting good products applied to the injection mold as described above.
Compared with the prior art, the method has the following advantages:
through according to real-time detection injection mold's penetrate gluey action, penetrate gluey distance, mould temperature and melten gel bucket temperature, can judge automatically whether the product of production is the yields when, and can realize detecting a plurality of production facility simultaneously, the product quality of each production facility of batch monitoring.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an embodiment of the present application;
fig. 2 is a schematic flow chart according to an embodiment of the present application.
[ detailed description ] embodiments
In order to make the technical problems, technical solutions and advantageous effects solved by the present application more clear and obvious, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1 to fig. 2, an embodiment of the present application provides a good product detection method applied to an injection mold, including the following steps:
s1, acquiring a glue injection action and a glue injection distance of the injection mold, and judging whether the glue injection distance is within a set distance range when the glue injection action is in an opening state; specifically, the step S1 is performed at a set time interval, data between two consecutive glue injection actions in the closed state at an interval is retrieved and recorded as an nth die, and when a glue injection distance corresponding to a glue injection action in the open state in the nth die is within a set distance range, a good product identification code corresponding to a glue injection action in the first open state in the nth die is set to be a value; and when the glue injecting distance corresponding to the glue injecting action in the opening state in the Nth die is out of the set distance range, setting the good product identification code corresponding to the glue injecting action in the first opening state in the Nth die to be a negative value, wherein N is more than or equal to 0.
S2, obtaining the mold temperature of the injection mold, and judging whether the mold temperature is within the set mold temperature range; specifically, the step S2 is performed at a set time interval, and when the mold temperature of the injection mold in the nth mold is within the set mold temperature range, the non-defective product identification code corresponding to the injection operation in the first opening state in the nth mold is set to be a value; and when the mold temperature of the injection mold in the Nth mold is out of the set mold temperature range, setting the non-defective product identification code of the injection action corresponding to the first opening state in the Nth mold as a negative value.
S3, obtaining the temperature of the molten rubber barrel of the injection mold, and judging whether the temperature of the molten rubber barrel is within a set temperature range of the molten rubber barrel; specifically, the step S3 is performed at a set time interval, and when the temperature of the melt adhesive barrel of the injection mold in the nth mold is within the set melt adhesive barrel temperature range, the non-defective product identification code corresponding to the first opening state of the injection mold in the nth mold is set to be a positive value; and when the temperature of the molten rubber barrel of the injection mold in the Nth mold is out of the temperature range of the set molten rubber barrel, setting the good product identification code of the injection action corresponding to the first opening state in the Nth mold as a no value.
S4, when the three conditions that the glue injecting distance is within a set distance range, the mould temperature is within a set mould temperature range and the melting glue barrel temperature is within a set melting glue barrel temperature range when the glue injecting action is in an opening state are met, judging that the current product is a good product; specifically, when the good product identification codes corresponding to the first opening state in the nth die are all values through the steps S1, S2 and S3, the product of the nth die is determined to be good.
As an example, the following data are obtained according to the good product detection method applied to the injection mold:
it should be noted that, in the table, a glue injection switching value of 0 indicates that the glue injection is in the off state, a glue injection switching value of 1 indicates that the glue injection is in the on state, and a glue injection encoder signal indicates the glue injection distance, in addition, the yes value of the good product identification code is represented as 1 in the table, and the no value of the good product identification code is represented as 0 in the table. Data of subscripts 0-5 are data of a 0 th module, data of subscripts 5-8 are data of a 1 st module, data of subscripts 7-10 are data of a 2 nd module, and data of subscripts 10-13 are data of a 3 rd module. If the set distance range of the injection distance is 45, the set mold temperature range is 100-150, and the set melt adhesive barrel temperature range is 300-350, then step S1 shows that the injection distance corresponding to the injection action in the 0 th mold in the open state is within the set distance range, the good product identification code corresponding to the injection action in the 0 th mold in the first open state is set to be a value, step S2 shows that the mold temperature of the injection mold in the 0 th mold has a value outside the set mold temperature range, the good product identification code corresponding to the injection action in the 0 th mold in the first open state is set to be a value, step S3 shows that the melt adhesive barrel temperature of the injection mold in the 0 th mold is within the melt adhesive barrel temperature range, and the good product identification code corresponding to the injection action in the first open state in the 0 th mold is set to be a value. Since no value appears in step S1, step S2, and step S3, the 0 th mold is determined to be a defective mold, and similarly, the 1 st mold is a good mold, the 2 nd mold is a defective mold, and the 3 rd mold is a defective mold.
The good product detection method applied to the injection mold can automatically judge whether the product produced at the current time is a good product or not by detecting the glue injection action, the glue injection distance, the mold temperature and the temperature of the glue melting barrel of the injection mold in real time, can realize simultaneous detection of a plurality of production devices, and can monitor the product quality of each production device in batches.
In this embodiment, the acquired glue injection distance data is obtained by detecting with a glue injection encoder. The temperature of the die and the temperature of the glue melting barrel can be respectively measured by a temperature probe.
Further, in step S4, when any one of the three conditions, that is, the glue injection distance is outside the set distance range, the mold temperature is outside the set mold temperature range, and the temperature of the glue barrel is outside the set glue barrel temperature range when the glue injection is in the open state, it is determined that the defective product is a defective product, and an alarm signal is issued. The step can remind the user in time so that the user can quickly troubleshoot the problems and recover normal production.
Further, the method for detecting good products applied to the injection mold further includes step S5: and acquiring the judgment information of the step S4 in each production, and accumulating the information for judging that the current product is a good product to calculate the number of the good products in the current batch production. Through the statistics of the good product quantity of each production device, the problems can be analyzed more scientifically to manage the production quality of the products.
This embodiment still provides the non-defective products detection device who is applied to injection mold, and it includes: the device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, such as a good product detection program applied to an injection mold. The processor implements the steps of the above-described non-defective product detection method embodiments applied to the injection mold when executing the computer program. Alternatively, the processor implements the functions of the modules in the above device embodiments when executing the computer program.
Illustratively, the computer program may be partitioned into one or more modules that are stored in the memory and executed by the processor to implement the invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used for describing the execution process of the computer program in the good product detection device applied to the injection mold. For example, the computer program may be divided into the following modules:
the injection distance acquiring module 1 is used for acquiring injection actions and injection distances of the injection mold, and judging whether the injection actions are in an opening state and whether the injection distances are within a set distance range;
the mold temperature acquisition module 2 is used for acquiring the mold temperature of the injection mold and judging whether the mold temperature is within a set mold temperature range;
the molten rubber barrel temperature acquisition module 3 is used for acquiring the molten rubber barrel temperature of the injection mold and judging whether the molten rubber barrel temperature is within a set molten rubber barrel temperature range;
and the good product judging module 4 is used for judging that the current product is a good product when three conditions that the glue injection distance is within a set distance range, the mould temperature is within a set mould temperature range and the melt glue barrel temperature is within a set melt glue barrel temperature range are met when the glue injection action is in an opening state.
The glue injection distance acquisition module 1, the mold temperature acquisition module 2 and the glue melting barrel temperature acquisition module 3 can acquire data from a local area network or the internet, and the data in the local area network or the internet can be acquired and supplied by information acquisition equipment arranged on production equipment. Through according to real-time detection injection mold's penetrate gluey action, penetrate gluey distance, mould temperature and melten gel bucket temperature, can judge automatically whether the product of production is the yields when, and can realize detecting a plurality of production facility simultaneously, the product quality of each production facility of batch monitoring.
The good product detection device applied to the injection mold can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The good product detection device applied to the injection mold can include, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the schematic diagram is merely an example of a good product detection apparatus applied to an injection mold, and does not constitute a limitation on the good product detection apparatus applied to the injection mold, and may include more or less components than those shown in the drawings, or combine some components, or different components, for example, the good product detection apparatus applied to the injection mold may further include an input-output device, a network access device, a bus, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general processor can be a microprocessor or the processor can be any conventional processor and the like, the processor is a control center of the good product detection terminal equipment applied to the injection mold, and various interfaces and circuits are utilized to connect various parts of the whole good product detection terminal equipment applied to the injection mold.
The memory can be used for storing the computer program and/or the module, and the processor realizes various functions of the good product detection terminal equipment applied to the injection mold by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The module applied to the integration of the good product detection terminal equipment of the injection mold can be stored in a computer readable storage medium if the module is realized in the form of a software functional unit and is sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the structural schematic diagram of the embodiment provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between the modules, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. The good product detection method applied to the injection mold is characterized by comprising the following steps:
s1, acquiring a glue injection action and a glue injection distance of the injection mold, and judging whether the glue injection action is in an opening state and whether the glue injection distance is within a set distance range;
s2, obtaining the mold temperature of the injection mold, and judging whether the mold temperature is within the set mold temperature range;
s3, obtaining the temperature of the molten rubber barrel of the injection mold, and judging whether the temperature of the molten rubber barrel is within a set temperature range of the molten rubber barrel;
and S4, when the three conditions that the glue injecting distance is within a set distance range, the mould temperature is within a set mould temperature range and the melting glue barrel temperature is within a set melting glue barrel temperature range when the glue injecting action is in an opening state are met, determining that the secondary product is a good product.
2. A good product detecting method applied to an injection mold according to claim 1, wherein the step S1 is performed at a set time interval, data between two spaced glue injection actions in continuous closing states is retrieved and recorded as an nth mold, when a glue injection distance corresponding to a glue injection action in an opening state in the nth mold is within a set distance range, a good product identification code corresponding to a glue injection action in a first opening state in the nth mold is set to be a value, and N is greater than or equal to 0;
and when the glue injecting distance corresponding to the glue injecting action in the opening state in the Nth die is out of the set distance range, setting the good product identification code corresponding to the glue injecting action in the first opening state in the Nth die to be a no value.
3. A good product detecting method applied to an injection mold according to claim 2, wherein the step S2 is performed at a set time interval, and when the mold temperature of the injection mold in the nth mold is within a set mold temperature range, the good product identification code corresponding to the first opening state in the nth mold is set to be a positive value;
and when the mold temperature of the injection mold in the Nth mold is out of the set mold temperature range, setting the non-defective product identification code of the injection action corresponding to the first opening state in the Nth mold as a negative value.
4. A good product detecting method applied to an injection mold according to claim 3, wherein the step S3 is performed at a set time interval, and when the temperature of the melting glue barrel of the injection mold in the nth mold is within a set melting glue barrel temperature range, the good product identification code corresponding to the glue injecting action in the first opening state in the nth mold is set to be a value;
when the temperature of a glue melting barrel of the injection mold in the Nth mold is out of the temperature range of the set glue melting barrel, setting a good product identification code of a glue injection action corresponding to a first opening state in the Nth mold as a negative value;
when the good product identification codes corresponding to the glue injection action in the first opening state in the nth die are all values after the steps of S1, S2 and S3, determining that the product of the nth die is good.
5. A good product detection method applied to an injection mold according to claim 1, wherein the acquired glue injection distance data is obtained by detection of a glue injection encoder.
6. A good product detecting method applied to an injection mold according to any one of claims 1-5, wherein in step S4, when any one of the conditions that the glue injecting distance is outside the set distance range, the mold temperature is outside the set mold temperature range, and the melt glue barrel temperature is outside the set melt glue barrel temperature range is satisfied when the glue injecting operation is in an open state, it is determined that the secondary product is a defective product, and an alarm signal is sent.
7. A good product detecting method applied to an injection mold according to claim 6, further comprising step S5: and acquiring the judgment information of the step S4 in each production, and accumulating the information for judging that the current product is a good product to calculate the number of the good products in the current batch production.
8. Be applied to injection mold's yields detection device, its characterized in that includes:
the injection distance acquisition module (1) is used for acquiring injection actions and injection distances of the injection mold, and judging whether the injection actions are in an opening state and whether the injection distances are within a set distance range;
the mold temperature acquisition module (2) is used for acquiring the mold temperature of the injection mold and judging whether the mold temperature is within a set mold temperature range;
the molten rubber barrel temperature acquisition module (3) is used for acquiring the molten rubber barrel temperature of the injection mold and judging whether the molten rubber barrel temperature is within a set molten rubber barrel temperature range;
and the good product judging module (4) is used for judging that the current product is a good product when three conditions that the glue injection distance is within a set distance range, the mould temperature is within a set mould temperature range and the melt glue barrel temperature is within a set melt glue barrel temperature range are met when the glue injection action is in an opening state.
9. Good product detection terminal equipment applied to an injection mold, characterized by comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the good product detection method applied to the injection mold according to any one of claims 1 to 7 when executing the computer program.
10. Computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program, wherein when the computer program runs, the computer-readable storage medium is controlled to execute a good product detection method applied to an injection mold according to any one of claims 1 to 7.
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| CN201910299912.6A CN110142940B (en) | 2019-04-15 | 2019-04-15 | Good product detection method and device applied to injection mold |
| CN202111094592.4A CN113942205A (en) | 2019-04-15 | 2019-04-15 | Good product detection method applied to injection mold |
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| WO2023184293A1 (en) * | 2022-03-31 | 2023-10-05 | 浙江凯华模具有限公司 | Online product defect detection method in injection molding process |
| CN114734601B (en) * | 2022-03-31 | 2023-08-29 | 浙江凯华模具有限公司 | Product flaw online detection method in injection molding process |
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| JP3581164B2 (en) * | 1993-10-12 | 2004-10-27 | ファナック株式会社 | Product quality judgment method and product quality judgment device for injection molding machine |
| CN1390695A (en) * | 2002-07-26 | 2003-01-15 | 李亚辉 | Injection control method for injection moulding machine |
| CN1765611A (en) * | 2004-11-12 | 2006-05-03 | 侯金来 | Plastic jetting-moulding machine control device and method |
| CN105451962B (en) * | 2013-08-09 | 2018-05-08 | 日产自动车株式会社 | Injection control method and injection control device |
| CN108312456B (en) * | 2017-12-30 | 2020-11-13 | 佛山市顺德区震德精密机械有限公司 | Injection molding machine product process quality monitoring system and monitoring method |
| CN109228214B (en) * | 2018-10-10 | 2020-12-25 | 揭阳市华誉电子科技有限公司 | Injection molding process quality detection device, detection management system and monitoring method |
-
2019
- 2019-04-15 CN CN202111094592.4A patent/CN113942205A/en not_active Withdrawn
- 2019-04-15 CN CN201910299912.6A patent/CN110142940B/en active Active
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| CN113942205A (en) | 2022-01-18 |
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