TWI571375B - System of intelligence injection molding and method thereof - Google Patents

Description

Intelligent injection molding system and method thereof

An intelligent injection molding system and method thereof, in particular to an intelligent injection molding system and method thereof capable of using a calculation module to obtain parameters of injection molding.

In today's daily life, such as mobile phone casings, tableware, notebook computer casings, computer casings, keyboards, plasticized products or keyboards, which rely on a molding process, can produce the aforementioned products, so injection molding for people In terms of its importance.

The existing injection molding process injects a molten plasticized liquid into a mold, and after the plasticized liquid fills the inside of a mold, the mold is cooled to solidify the plasticized liquid into a product, after the product is formed, Open the mold to remove the product.

However, in the process of injection molding, it is still necessary to rely on the judgment of experienced senior personnel to eliminate the irresistible variables generated in the process, such as materials, temperature of the day, mold or gas back pressure, because the variable will cause The manufactured product becomes a defective product or cannot be used, but the judgment is artificial, and the artificial judgment is full of unknowable mistakes, so the existing injection molding process still has room for improvement.

In view of the above problems, an object of the present invention is to provide an intelligent injection molding system and a method thereof, which are provided with a suggested parameter by a computing module and provided to an injection molding module for the purpose of injection molding. The process is carried out and human error can be avoided.

In order to achieve the above object, the technical means of the present invention is to provide an intelligent injection molding system, which comprises: an injection molding module; a relay module, wherein the signal is connected to the injection molding module; a computing module is connected to the relay module; and a handheld module is respectively connected to the injection molding module, the calculation a module and the relay module; wherein the handheld device provides an injection molding data, the relay module transmits the injection molded data to the computing module, and the computing module is based on the injection molding The data is used to derive a suggested parameter, which is provided to the handheld module, and the handheld module provides the suggested parameter to the injection molding module.

The invention provides an intelligent injection molding method, which comprises: a hand-held module providing an injection molding data, the injection molding data is obtained through a calculation module to obtain a suggested parameter; and the recommended parameter system Provided to the handheld module, the handheld module is further provided to an injection molding module for performing an injection molding process.

As described above, the present invention is capable of providing a suggested parameter to the injection molding module to facilitate the process of the injection molding process to avoid possible errors caused by human judgment.

10‧‧‧ Injection molding module

11‧‧‧Relay module

12‧‧‧ Calculation Module

120‧‧‧ device database

121‧‧‧Materials Database

122‧‧‧Alternative model database

123‧‧‧Selection unit

124‧‧‧ arithmetic unit

125‧‧‧Case database

126‧‧‧Troubleshooting database

127‧‧‧Defect identification unit

128‧‧‧ Suggested units

13‧‧‧Handheld module

130‧‧‧Input window

131‧‧‧ Filling time and thermometer

132‧‧‧ options

14‧‧‧Monitoring and feedback module

140‧‧‧Database

141‧‧‧ verification unit

142‧‧‧Warning unit

A1~A4‧‧‧ steps

A20~A21‧‧‧Steps

A3A~A3B‧‧‧Steps

S1~S13‧‧‧Steps

1 is a schematic view of a first embodiment of an intelligent injection molding system of the present invention.

2 is a schematic diagram of an input window of the present invention.

3 is a schematic view of a second embodiment of an intelligent injection molding system of the present invention.

4 is a schematic flow chart of an intelligent injection molding method according to the present invention.

FIG. 5 is a schematic diagram of the operation flow of the intelligent injection molding method.

FIG. 6 is a schematic diagram of another operation flow of the intelligent injection molding method.

The embodiments of the present invention are described below by way of specific embodiments, and those skilled in the art can readily understand the other advantages and advantages of the present invention.

Please refer to FIG. 1 , which is an intelligent injection molding system. The first embodiment has an injection molding module 10, a relay module 11, a computing module 12 and a handheld module 13.

The injection molding module 10 is an injection molding machine, and the structure and components of the injection molding machine are widely known to those of ordinary skill in the art, and thus will not be further described.

Signal connections can be made between the above modules, which broadly cover all connection methods for signal and data transmission in a wired or wireless manner. The relay module 11 is connected to the injection molding module 10, and the relay module 11 is a server or any device capable of transmitting and receiving data. The relay module 11 has at least one basic injection molding suggestion parameter. The basic injection molding suggested parameters include filling time, injection pressure, holding pressure, holding time, mold temperature, material temperature and cooling time.

The computing module 12 is connected to the relay module 11 and the computing module 12 can be set in the cloud. Therefore, the computing module 12 can use the calculation program built therein to obtain the required recommended parameters, and can be wired at the remote end. The transmission or wireless transmission is performed to complete the information transmission with the computing module 11. The computing module 12 has a device database 120, a material database 121, an alternative model database 122, a selection unit 123, an operation unit 124, a case database 125, a troubleshooting database 126, and a defect. The identification unit 127 and a suggestion unit 127.

The device database 120 includes data of a model of the injection molding machine, data of a mold temperature control unit, data of an automatic control unit, data of a back pressure gas unit, data of an induction heating control unit, and a feed spiral diameter. Data, data of a feed spiral stroke, data of a feed spiral rate, data of a feed spiral length/diameter ratio, data of an injection quantity, data of an injection ratio, data of an injection speed, and an injection pressure The data, the data of a fixture, the data of a fixture stroke, the data of a mold height and the size of a certain template.

The material database 121 includes a material information, a drying temperature data, a drying time data, a melting temperature data, a mold temperature data, a back pressure data, a feed spiral speed data, Data of a pore depth, data of a specific gravity, data of molding shrinkage of a plastic material, data of a melt flow index and A piece of tensile modulus of elasticity.

The replacement model database 122 includes data of a material type, data of a thickness, data of a length/thickness ratio, data of a melting temperature, data of a mold temperature, data of a filling time, data of an injection pressure, and Information on holding pressure and information on holding time.

The case database 125 includes a case classification data, a material information, an injection molding tool data, an injection molding size data, a stroke data, a melting temperature data, a mold temperature data, and a filling time. The data, the data of a back pressure, the data of the injection molding pressure, the data of a pressure holding pressure, the data of a holding time, the data of a cooling time and the data of a fixture force.

A troubleshooting database 126 includes a short shot data, a flash material, a sinker data, a wire bond data, a first-class mark data, an injection data, an invalid data and A warped information.

The defect identification unit 127 receives the data of the troubleshooting database 126 to provide a parameter which is detailed in the intelligent injection molding method described below.

The suggestion unit 127 is coupled to at least one injection molding expert to enable the expert to provide professional services immediately, thereby overcoming the difficulties that may be encountered during injection molding, and is also described in the intelligent injection molding method described below.

The handheld module 13 is respectively connected to the injection molding module, the relay module 11 and the computing module 12. The handheld module 13 can be a tablet computer, a notebook computer, a smart communication device or a number of assistants (Personal). Digital Assistant (PDA), the smart communication device can be a smart phone, and the handheld module 13 has an input window 130. As shown in FIG. 2, the input window 130 has a filling time and temperature table 131. The input window 130 further has a plurality of options 132, which are melting temperature, mold temperature, filling time, injection speed, injection pressure, back pressure, back pressure time, and cooling time, the filling time and temperature table 131 and the Option 132 is selectable to output an injection molded material.

Referring to FIG. 3, a second embodiment of the intelligent injection molding system of the present invention, wherein the injection molding module 10, the relay module 11, the calculation module 12 and the handheld module 13 are as described above. Therefore, no further details will be given.

In the embodiment, the intelligent injection molding system further has a monitoring and feedback module 14 , wherein the monitoring and feedback module 14 is connected to the relay module 11 , and the monitoring and feedback module 14 has a database. 140, a verification unit 141 and a warning unit 142, the database 140 includes an injection molding machine data, injection molding materials and experimental data.

Referring to FIG. 1 and FIG. 4 together, the present invention is an intelligent injection molding method, which comprises:

A1, inputting an injection molding data, and a relay module 11 provides a basic injection molding suggestion parameter to an injection molding module 10 according to the information of the injection molding.

A2, judging whether the above basic injection molding suggestion parameter is applicable, if applicable, to stop A20; if not applicable to A21, the injection molding data is provided to a calculation module 12, and the operation of the calculation module 12 is performed. The details are as follows: Referring to FIG. 1 and FIG. 5, S1, a target is selected by the input window 130 of the handheld module 13, and the coordinate is converted into an outgoing type data, or a plurality of data is input into the handheld. The module 13 is configured to form an injection molded material.

The injection molding data includes a flow length, a projected area, a product volume, a gate thickness/diameter, a product thickness, a flow to occupied volume ratio, an average distance of the water pipe from the film surface, and a model of the material and the injection molding machine.

The flow length includes the maximum flow length and the minimum flow length. The thickness of the product includes the maximum thickness of the product and the minimum thickness of the product. The flow length, the thickness/diameter of the gate, the thickness of the product and the average distance from the film surface of the water pipe can be public (mm). ), centimeters (cm), meters (m), inches (inch) or feet (foot).

The unit of projected area can be square millimeters (mm ² ), square centimeters (cm ² ), square meters (m ² ), square inches (inch ² ), and square feet (foot ² ).

The unit of product volume can be in cubic millimeters (mm ³ ), cubic centimeters (cm ³ ), cubic meters (m ³ ), cubic inches (inch ³ ), and cubic feet (foot ³ ).

The injection molding data is transmitted to the relay module 11 via a wireless or a wired method, and the relay module 11 transmits the injection molded data to the computing module 12 via a wireless or a wired method.

S2, the selecting unit 123 of the computing module 12 is based on the injection molding capital And the selected data is selected by the device database 120, the material database 121, and the replacement model database 122, and the selected data is provided to an operation unit 124 to calculate a first conclusion, the first conclusion The filling material, the injection pressure, the holding pressure, the holding time, the mold temperature, the material temperature and the cooling time are included, and the aforementioned material can be plastic.

S3, judging whether the first conclusion is applicable, if the first conclusion is applicable, then to S4; if the first conclusion is not applicable, then to S7.

S4, the selecting unit 123 selects, according to the first conclusion, the data that meets the first conclusion by the case database 125, and the data that meets the first conclusion is calculated by the operation unit 124 to obtain a first parameter. The first parameter includes a filling time, an injection pressure, a holding pressure, a dwell time, a mold temperature, a material temperature, and a cooling time, and the aforementioned material can be a plastic.

S5, determining whether the first parameter is applicable, if the first parameter is applicable, then to S6; if the first parameter is not applicable, then to S11.

S6, the selecting unit 123 selects, according to the first parameter, the data that meets the first parameter by the fault exclusion database 126, and the data that meets the first parameter is identified by a defect identification unit 127, and the first is met. The parameter data is transmitted to the operation unit 124 of the calculation module 12 to obtain a first suggested parameter, which includes a filling time, an injection pressure, a holding pressure, a holding time, a mold temperature, and a material temperature. And the cooling time, the aforementioned material can be plastic, and the first suggested parameter can be provided to the injection molding module 10 for performing an injection molding process.

Referring to FIG. 4, S7 determines whether to shorten the calculation time by S3, and if not, to S8; if yes, to S12.

S8, the selecting unit 123 selects the data corresponding to the injection molding data according to the information of the injection molding, and the data is extracted to the operation unit 124 to calculate a second parameter, the second parameter. The filling material, the injection pressure, the holding pressure, the holding time, the mold temperature, the material temperature and the cooling time are included, and the aforementioned material can be plastic.

S9, determining whether the second parameter is applicable, if the second parameter is applicable, then to S10; if the second parameter is not applicable, then to S13.

S10, as described in S6, the selecting unit 123 selects the data corresponding to the second parameter in the troubleshooting database 126, and the data conforming to the second parameter is identified by a defect identifying unit 127, and the second parameter is met. The data is transmitted to the calculation module 12 to obtain a second suggested parameter, which includes filling time, injection pressure, holding pressure, holding time, mold temperature, material temperature and cooling time, and the foregoing materials. Capable of being plastic, the second suggested parameter can be provided to the injection molding module 10 for an injection molding process.

S11, in the above S5, the selecting unit 123 selects the data corresponding to the injection molding data in the fault exclusion database 126 according to the information of the injection molding, the data is identified by the defect identification unit 127, and the data is transmitted to the calculation. The module 12 is configured to obtain a third suggested parameter, which includes a filling time, an injection pressure, a holding pressure, a holding time, a mold temperature, a material temperature, and a cooling time, and the foregoing material can be a plastic, The third suggested parameter can be provided to the injection molding module 10 for an injection molding process.

S12, according to the above S7, as described in S11, if the calculation time is to be shortened, the calculation module 12 calculates a fourth suggested parameter, which includes the filling time, the injection pressure, the holding pressure, and the holding pressure. The time, mold temperature, material temperature and cooling time, the aforementioned material can be plastic, and the fourth suggested parameter can be provided to the injection molding module 10 for performing an injection molding process.

S13, in accordance with S9 above, as described in S11, the calculation module 12 calculates a fifth suggested parameter, which includes filling time, injection pressure, holding pressure, holding time, mold temperature, and material. The temperature and the cooling time, the aforementioned material can be plastic, and the fifth suggested parameter can be provided to the injection molding module 10 for performing an injection molding process.

A3A, please refer to FIG. 1 again. For the first embodiment, the computing module 12 transmits the above suggested parameters, such as the first to fifth suggested parameters, to the handheld module 13, the handheld module. 13 further transmitting the above suggested parameters to the injection molding module 10, and the injection molding module 10 performs an injection molding process according to the recommended parameters, and if the recommended parameters meet the specifications of the injection molding, the injection molding is continued. Process; if the proposed parameter does not meet the specifications of injection molding, stop shooting Type process, and to A4.

A3B, please refer to FIG. 3 again. For the second embodiment, the computing module 12 transmits the above suggested parameters to the handheld module 13 and the relay module 11, respectively, and the relay module 11 The recommended parameters are transmitted to the monitoring and feedback module 14. The verification unit 141 is configured to verify the recommended parameters according to the data provided by the database 140. If the verification is performed, the verification unit 141 is relayed. The module 11 informs the hand-held module 13, and the hand-held module 13 transmits the above-mentioned suggested parameters to the injection molding module 10, and the injection molding module 10 performs an injection molding process according to the suggested parameters, if the above-mentioned If the suggested parameter fails to pass the verification, the warning unit 142 sends a warning to the handheld module 13 through the relay module 11, and then goes to A4.

As described in step A2, in the steps S1 to S13, the first to fifth suggested parameters are sequentially generated. If the above-mentioned S5, the first suggested parameter is generated, if the first suggestion If the parameter is applicable, the subsequent step S11 will not be performed; similarly, if the step S8 is as described above, if the second suggested parameter has been generated and is applicable, the step S13 will not be performed. Therefore, only one suggested parameter will be generated in step A1. If the suggested parameter is not applicable, another suggested parameter will be provided.

If you want to further explain the A2 step, if it is based on an injection molding data, it may be the information of the length, width, height and thickness of a product. If a filling time is taken as an example, the case database has built in multiples. The preset filling time, the case database may provide at least one preset filling time according to the foregoing information, and the first parameter or the second parameter is obtained according to the method.

A4, the handheld module 13 is passed through a suggestion unit 127 to enable an expert to provide professional advice in real time while continuing the injection molding process.

In summary, the present invention utilizes a computing module to derive a suggested parameter that can be used by the injection molding module to facilitate the injection molding process. If the suggested parameter is not available for injection molding, then Further, by suggesting a unit, a proposal can be obtained in time, and the process of injection molding can be continued.

However, the specific embodiments described above are merely used to exemplify the features and functions of the present invention, and are not intended to limit the scope of the present invention, and may be applied without departing from the spirit and scope of the present invention. Equivalent modification completed by the disclosure of the present invention Variations and modifications are still to be covered by the scope of the patent application below.

A1~A4‧‧‧ steps

A20~A21‧‧‧Steps

A3A~A3B‧‧‧Steps

Claims (19)

An intelligent injection molding system comprises: an injection molding module; a relay module, wherein the signal is connected to the injection molding module; and a calculation module, wherein the signal is connected to the relay module, the calculation The module is disposed in the cloud; and a handheld module is separately connected to the injection molding module, the computing module and the relay module; wherein the handheld device provides an injection molding material, wherein the module Passing the injection molding data to the computing module, the computing module is based on the information of the injection molding to obtain a suggested parameter, and the suggested parameter is provided to the handheld module, the handheld module The group provides the suggested parameters to the injection molding module via the relay module. The intelligent injection molding system of claim 1, wherein the relay module is a server. The intelligent injection molding system of claim 2, wherein the calculation module has a device database, a material database, an alternative model database, a selection unit and an operation unit. The intelligent injection molding system of claim 3, wherein the calculation module further has a case database, a troubleshooting database, a defect identification unit, and a suggestion unit. The intelligent injection molding system according to claim 4, wherein the device database comprises data of a model of the injection molding machine, data of a mold temperature control unit, data of an automatic control unit, and a back pressure gas unit. Data, information of an induction heating control unit, data of a feed spiral diameter, data of a feed spiral stroke, data of a feed spiral rate, data of a feed spiral length/diameter ratio, and an injection amount Data, data of a shot ratio, data of a shot speed, data of a shot pressure, data of a fixture force, data of a fixture stroke, data of a mold height, and data of a certain template size; the material database contains Material information, a drying temperature Data of the degree, data of a drying time, data of a melting temperature, data of a mold temperature, data of a back pressure, data of a feed screw speed, data of a pore depth, information of a specific gravity, a plastic Material molding shrinkage data, a melt flow index data and a tensile elastic modulus data; the replacement model database contains data of a material type, a thickness data, a length/thickness ratio data, a melting Temperature data, data of a mold temperature, data of a filling time, data of a pressure of injection, data of a pressure holding pressure and data of a holding time; the case database contains a case classification data, a material Data, information on a molding machine, data on a shot size, data on a stroke, data on a melting temperature, data on a mold temperature, data on a fill time, data on a back pressure, and injection molding pressure Data, information on pressure holding pressure, data on pressure holding time, data on cooling time and data on a fixture force; The material library includes a data of a note, a material of a flash, a data of a sink, a wire of a wire, a data of a first-class mark, a data of an injection, an invalid data and a warped data; the shot The molding data includes a flow length, projected area, product volume, gate thickness/diameter, product thickness, flow to occupied volume ratio, average distance of the water pipe from the film surface, and the type of material and injection molding machine. The intelligent injection molding system of claim 1, wherein the handheld module has an input window having a filling time and thermometer and a plurality of options. The intelligent injection molding system of claim 6, wherein the options are melting temperature, mold temperature, filling time, injection speed, injection pressure, back pressure, back pressure time, and cooling time. The intelligent injection molding system of claim 6, wherein the handheld module is a tablet computer, a notebook computer, a smart communication device or a number of position assistants. The intelligent injection molding system of claim 1, further comprising a monitoring and feedback module, wherein the monitoring and feedback module is connected to the relay module, and the monitoring and feedback module has a database. , a verification unit and a Warning unit. The intelligent injection molding system of claim 1, wherein the relay module has at least one basic injection molding suggestion parameter. An intelligent injection molding method includes: providing an injection molding data by a handheld module, wherein the injection molding data is calculated by a calculation program to obtain a suggested parameter, and the calculation is performed. The program is completed by a computing module located in the cloud; and the suggested parameter is provided to the handheld module, and the handheld module provides the suggested parameter to an injection molding module via the relay module to perform A process of injection molding. For example, in the intelligent injection molding method described in claim 11, wherein the selection unit of a calculation module is selected from a device database, a material database, and an alternative model database according to the data of the injection molding. The required information, the selected data is provided to an arithmetic unit to calculate a first conclusion; determining whether the first conclusion is applicable, and if the first conclusion is applicable, the selecting unit is based on the first conclusion And selecting, by a case database, the data meeting the first conclusion, the data meeting the first conclusion is calculated by the operation unit to obtain a first parameter; determining whether the first parameter is applicable, if the first A parameter is applicable, the selecting unit is configured according to the first parameter, and a data matching the first parameter is selected by a fault exclusion database, and the data conforming to the first parameter is identified by a defect identification unit, and the A parameter data is transmitted to the computing module to derive a first suggested parameter. The intelligent injection molding method according to claim 12, wherein the first conclusion includes a filling time, an injection pressure, a holding pressure, a holding time, a mold temperature, a material temperature, and a cooling time; the first parameter Including filling time, injection pressure, holding pressure, holding time, mold temperature, material temperature and cooling time; the first recommended parameters include filling time, injection pressure, holding pressure, holding time, mold temperature, material Temperature and cooling time. The intelligent injection molding method according to claim 12, wherein The first conclusion is not applicable, and a judgment is made whether the operation time is shortened. If the calculation time is not shortened, the selection unit selects the data corresponding to the injection molding data according to the information of the injection molding, and the data is selected by the case database. The system is provided to the computing unit to calculate a second parameter; determining whether the second parameter is applicable, and if the second parameter is applicable, the selecting unit selects data corresponding to the second parameter in the troubleshooting database, the The data of the two parameters is identified by a defect identification unit, and the data conforming to the second parameter is transmitted to the calculation module to obtain a second suggested parameter. The intelligent injection molding method according to claim 14, wherein if the first parameter is not applicable, the selecting unit selects, according to the information of the injection molding, the data corresponding to the injection molding data in the fault exclusion database. The data is identified by the defect identification unit and transmitted to the computing module to derive a third suggested parameter. The intelligent injection molding method according to claim 15, wherein, if the calculation time is shortened, the selection unit selects, according to the information of the injection molding, the data corresponding to the injection molding data in the fault exclusion database, the data is Identifying the defect identification unit and transmitting the data to the computing module to derive a fourth suggested parameter. The intelligent injection molding method according to claim 14, wherein if the second parameter is not applicable, the selecting unit selects, according to the information of the injection molding, the data corresponding to the injection molding data in the fault exclusion database. The data is identified by the defect identification unit and transmitted to the computing module to derive a fifth suggested parameter. The intelligent injection molding method according to claim 11, wherein if the recommended parameter meets the specifications of the injection molding, the injection molding process is continued; if the recommended parameter fails to meet the injection molding specification, the injection molding is stopped. Process; a suggested unit provides a recommendation. The intelligent injection molding method according to claim 11, wherein the calculation module further transmits the suggested parameter to the relay module, and the relay module transmits the suggested parameter to a monitoring and Feedback module, a verification unit The suggested parameter is verified according to the information provided by a database. If the verification is passed, the monitoring and feedback module informs the handheld module through the relay module, and the handheld module further recommends the parameter. And transmitting to the injection molding module, the injection molding module is configured to perform an injection molding process according to the recommended parameter, and if the recommended parameter is not verified, an alarm unit transmits the handheld module through the relay module. The module issues a warning; a suggested unit provides a recommendation.