KR102265698B1 - quality data analysis using press forming information and recipe optimization method - Google Patents

Abstract

The present invention relates to a method for analyzing quality data and optimizing a recipe by using press forming information. The method for analyzing quality data and optimizing a recipe by using press forming information according to an aspect of the present invention comprises: a first step of pre-setting manufacturing conditions related to press processing; a second step of manufacturing a plurality of pressed products according to the preset manufacturing conditions; a third step of extracting first feature information on a quality factor of each of the pressed products; a fourth step of deriving a quality factor feature curve for the pressed products, based on the first feature information extracted; a fifth step of extracting a first pressed product which meets preset quality conditions among the pressed products, based on the quality factor feature curve; a sixth step of designating a feature curve of the first pressed product as a quality pass feature curve; a seventh step of manufacturing a plurality of regular products by using press processing; an eighth step of extracting second feature information on a quality factor of each of the regular products; a ninth step of generating data for a change in press processing features of the regular products, based on the second feature information extracted; and a tenth step of determining whether the generated data for a change in press processing features are within a range of the quality pass feature curve.

Description

Quality data analysis using press forming information and recipe optimization method {quality data analysis using press forming information and recipe optimization method}

The present invention relates to quality data analysis and recipe optimization techniques using press molding information. Specifically, the present invention relates to a quality information management technique capable of reducing quality inspection costs, securing quality reliability, and improving productivity by managing characteristic information according to time change of major factors affecting press plastic working quality.

Press mold is a representative plastic processing field that accounts for 44% of the total production of the mold industry in Korea.

In such a press working site, the press machine should be operated without stopping, and productivity can be greatly improved only when the performance of the machine is always maintained in a state where it can be operated at the maximum speed according to the specifications of the press machine.

However, the quality control in the press working process up to now is focused only on the inspection for abnormal appearance after molding, so there is a problem that once a defect occurs, it continues to produce defective products until the press machine is stopped.

In addition, despite the quality control, leaked defective products are passed on to the next process as they are, and there are frequent cases where they come back with huge claims due to defective parts.

Therefore, by analyzing information related to molding quality such as temperature, pressure, molding time, etc. generated during the firing process of the press mold, the quality information is immediately collected, and the quality information is immediately compared and analyzed with the quality acceptance criteria to improve the reliability and durability of the manufacturing process. There is a growing need for a method and system that can secure the quality of the product and can reduce the quality cost by preventing the leakage of defects in advance by identifying the defect factors and identifying the cause.

Korean Intellectual Property Office Registration No. 10-0984233

The present invention intends to provide a user with a quality data analysis and recipe optimization technique using press molding information in order to solve the problems of the prior art.

Specifically, the present invention intends to propose a quality information management technique that enables quality inspection cost reduction, quality reliability assurance, and productivity improvement by managing characteristic information according to time change of major factors affecting press plastic working quality.

On the other hand, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned are clearly to those of ordinary skill in the art to which the present invention belongs from the description below. can be understood

A method for quality data analysis and recipe optimization using press forming information, which is an aspect of the present invention for achieving the above technical problem, includes a first step of presetting manufacturing conditions related to press working; a second step of manufacturing a plurality of press products according to the preset manufacturing conditions; a third step of extracting first characteristic information for each quality factor of the plurality of press products; a fourth step of deriving quality factor characteristic curves for the plurality of press products based on the extracted first characteristic information; a fifth step of extracting a first press product satisfying a preset quality condition from among the plurality of press products based on the quality factor characteristic curve; a sixth step of designating a characteristic curve of the first press product as a quality pass characteristic curve; a seventh step of manufacturing a plurality of regular products by using the press working; an eighth step of extracting second characteristic information about the quality factors of each of the plurality of regular products; a ninth step of generating press processing characteristic change data for the plurality of regular products based on the extracted second characteristic information; and a tenth step of determining whether the generated press processing characteristic change data exists within the range of the quality pass characteristic curve.

In addition, in the tenth step, when the generated press processing characteristic change data is within the range of the quality pass characteristic curve, the eleventh step of determining quality acceptance for the plurality of regular products and continuing production; and a twelfth step of additionally reflecting the generated press processing characteristic change data on the quality pass characteristic curve.

In addition, in the tenth step, when the generated press processing characteristic change data is out of the range of the quality pass characteristic curve, quality rejection is determined for the plurality of regular products, and the production of the plurality of regular products is performed. an eleventh step of stopping; a twelfth step of identifying factors and causes outside the above range; a thirteenth step of additionally reflecting the identified factors and causes to the plurality of regular product manufacturing conditions; and a 14th step of resuming production of the plurality of regular products based on the additionally reflected conditions.

In addition, the preset manufacturing conditions may include a type condition, a quantity condition, and a reference condition of the quality factor characteristic information.

In addition, the quality factor includes press mold information, press machine information, material property information and inspection information, and the press mold information includes molding pressure information, punch pressure information, and cycle time information, and the press The machine information includes press pressure information, the press speed information, stroke information, vibration information, and temperature information, the material property information includes specific gravity information, strength information and shrinkage information, and the inspection information includes dimensional information and shape information. and surface information.

In addition, the first characteristic information and the second characteristic information may include molding pressure information, punch pressure information, cycle time information, mold temperature information, press machine information, material characteristic information, and inspection information.

In addition, the quality factor characteristic curve may be derived based on at least one of a failure prediction model, a press recipe optimization analysis model, and a maintenance prediction model.

The present invention can provide a user with a quality data analysis and recipe optimization technique using press molding information in order to solve the problems of the prior art.

Specifically, the present invention can provide a quality information management technique capable of reducing quality inspection costs, securing quality reliability, and improving productivity by managing characteristic information according to time change of major factors affecting press plastic working quality.

In addition, according to the present invention, it is possible to proceed without quality inspection on quality first-passed products, thereby saving resources and time required for quality control.

In addition, according to the present invention, it is possible to increase the quality reliability by blocking in advance the inflow of non-conforming quality products that are not discriminated through visual inspection.

In addition, according to the present invention, it is possible to reduce the recurrence of defects and the period of defects by quickly identifying the characteristic factors of non-quality products and taking corrective measures.

On the other hand, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be able

1 shows an example of a block diagram of a quality data analysis and recipe optimization technique system using press forming information according to the present invention.
Figure 2 shows a specific example in which the quality data analysis and recipe optimization technique using press molding information is applied in relation to the present invention.
3 shows an example of a practical application model of the press forming quality control technique in relation to the present invention.
4 is a flowchart illustrating a method for quality data analysis and recipe optimization using press molding information according to the present invention.

Problems of the prior art and prior art

Press forming is a method of forming by plastically deforming a plate by pressing it. The pressing method includes a static pressing method and a dynamic pressing method. The former is a hydroulic press and the latter is a power press.

In addition, hot press forming is a method of rapidly cooling a steel sheet heated to a high temperature (over 900 degrees) at the same time as forming in a press to make an ultra-high strength automotive steel sheet that is 2-3 times stronger than a general steel sheet. The force made by applying the molding method is applied to the center pillar (corresponding to the pillar of a car), which needs to protect the occupants from external impact in the event of a side collision or rollover accident.

The press mold is a representative plastic processing field that accounts for 44% of the total production of the mold industry in Korea.

In such a press working site, the press machine should be operated without stopping, and productivity can be greatly improved only when the performance of the machine is always maintained in a state where it can be operated at the maximum speed according to the specifications of the press machine.

However, the quality control in the press working process up to now is focused only on the inspection for abnormal appearance after molding, so there is a problem that once a defect occurs, it continues to produce defective products until the press machine is stopped.

In addition, despite the quality control, leaked defective products are passed on to the next process as they are, and there are frequent cases where they come back with huge claims due to defective parts.

Therefore, by analyzing information related to molding quality such as temperature, pressure, molding time, etc. generated during the firing process of the press mold, the quality information is immediately collected, and the quality information is immediately compared and analyzed with the quality acceptance criteria to improve the reliability and durability of the manufacturing process. There is a growing need for a method and system that can secure the quality of the product and can reduce the quality cost by preventing the leakage of defects in advance by identifying the defect factors and identifying the cause.

Quality data analysis and recipe optimization system using press molding information

The present invention intends to provide a user with a quality data analysis and recipe optimization technique using press molding information in order to solve the problems of the prior art.

Specifically, the present invention intends to propose a quality information management technique that enables quality inspection cost reduction, quality reliability assurance, and productivity improvement by managing characteristic information according to time change of major factors affecting press plastic working quality.

1 shows an example of a block diagram of a quality data analysis and recipe optimization technique system using press forming information according to the present invention.

Referring to FIG. 1 , the system 100 according to the present invention includes a wireless communication unit 110 , an A/V (Audio/Video) input unit 120 , a user input unit 130 , a sensing unit 140 , and an output unit 150 . ), a memory 160 , an interface unit 170 , a control unit 180 and a power supply unit 190 , and the like.

However, since the components shown in FIG. 1 are not essential, a system having more or fewer components may be implemented.

Hereinafter, the components will be described in turn.

The wireless communication unit 110 may include one or more modules that enable wireless communication between a system and a wireless communication system or between a system and a network in which the system is located.

For example, the wireless communication unit 110 may include a broadcast reception module 111 , a mobile communication module 112 , a wireless Internet module 113 , a short-range communication module 114 , and a location information module 115 . .

The broadcast reception module 111 receives a broadcast signal and/or broadcast related information from an external broadcast management server through a broadcast channel.

The broadcast channel may include a satellite channel and a terrestrial channel. The broadcast management server may mean a server that generates and transmits a broadcast signal and/or broadcast-related information or a server that receives and transmits a previously generated broadcast signal and/or broadcast-related information to the system. The broadcast signal may include a TV broadcast signal, a radio broadcast signal, and a data broadcast signal, as well as a TV broadcast signal or a broadcast signal in which a data broadcast signal is combined with a radio broadcast signal.

The broadcast related information may mean information related to a broadcast channel, a broadcast program, or a broadcast service provider. The broadcast-related information may be provided through a mobile communication network. In this case, it may be received by the mobile communication module 112 .

The broadcast-related information may exist in various forms. For example, it may exist in the form of an Electronic Program Guide (EPG) of Digital Multimedia Broadcasting (DMB) or an Electronic Service Guide (ESG) of Digital Video Broadcast-Handheld (DVB-H).

The broadcast reception module 111 is, for example, Digital Multimedia Broadcasting-Terrestrial (DMB-T), Digital Multimedia Broadcasting-Satellite (DMB-S), Media Forward Link Only (MediaFLO), Digital Video Broadcast (DVB-H). -Handheld) and ISDB-T (Integrated Services Digital Broadcast-Terrestrial) can receive a digital broadcasting signal using a digital broadcasting system. Of course, the broadcast reception module 111 may be configured to be suitable for other broadcast systems as well as the aforementioned digital broadcast system.

A broadcast signal and/or broadcast related information received through the broadcast reception module 111 may be stored in the memory 160 .

The mobile communication module 112 transmits/receives wireless signals to and from at least one of a base station, an external system, and a server on a mobile communication network.

It may include various types of data according to text/multimedia message transmission/reception.

The wireless Internet module 113 refers to a module for wireless Internet access, and may be built-in or external to the system. As wireless Internet technologies, wireless LAN (WLAN) (Wi-Fi), wireless broadband (Wibro), World Interoperability for Microwave Access (Wimax), High Speed Downlink Packet Access (HSDPA), etc. may be used.

The short-range communication module 114 refers to a module for short-range communication. Bluetooth, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, and Wi-Fi (Wireless Fidelity, Wi-Fi) are short-range communication technologies. can be used

The location information module 115 is a module for acquiring the location of the system, and a representative example thereof is a Global Position System (GPS) module.

Referring to FIG. 1 , the A/V (Audio/Video) input unit 120 is for inputting an audio signal or a video signal, and may include a camera 121 and a microphone 122 . The camera 121 processes an image frame such as a still image or a moving image obtained by the image sensor in the shooting mode. The processed image frame may be displayed on the display unit 151 .

The image frame processed by the camera 121 may be stored in the memory 160 or transmitted to the outside through the wireless communication unit 110 . Two or more cameras 121 may be provided according to the use environment.

The microphone 122 receives an external sound signal by a microphone in a recording mode, a voice recognition mode, and the like, and processes it as electrical voice data. The processed voice data may be converted into a form that can be transmitted to the mobile communication base station through the mobile communication module 112 and output. Various noise removal algorithms for removing noise generated in the process of receiving an external sound signal may be implemented in the microphone 122 .

Next, a thermal imaging camera 123 using Far Infra-Red (FIR) detects the far infrared region, not the visible region.

That is, the thermal imaging camera detects infrared thermal energy emitted from the subject, and acquires the detected result as a thermal image.

In addition, the 360 degree camera 124 is implemented using a camera equipped with a fisheye lens.

If a fisheye lens with a wide angle of view is used, an omnidirectional (360˚) image can be captured around the reference point.

Meanwhile, the user input unit 130 generates input data for the user to control the operation of the system. The user input unit 130 may include a keypad, a dome switch, a touch pad (static pressure/capacitance), a jog wheel, a jog switch, and the like.

The sensing unit 140 generates a sensing signal for controlling the operation of the system by sensing the current state of the system, such as the opening/closing state of the system, the position of the system, the presence or absence of user contact, the orientation of the system, and acceleration/deceleration of the system.

The sensing unit 140 may sense whether power is supplied from the power supply unit 190 , whether the interface unit 170 is coupled to an external system, and the like.

Meanwhile, the sensing unit 140 may include a proximity sensor 141 .

In addition, the sensor unit 140 includes a pressure sensor 142 , a sound sensor 143 , a gyro sensor 144 , a temperature sensor 145 , a humidity sensor 1464 ), an impact sensor 147 , and a gas discharge sensor 148 ). and the like may be further included.

Here, the pressure sensor 142 is a type of pressure gauge that measures pressure, and mainly refers to a pressure gauge that converts a measurement result into an electrical signal and outputs it.

Also called a pressure sensor or pressure detector, it is also called a pressure transducer (pressure converter), emphasizing that it converts pressure information into an electrical signal.

In addition, the sound sensor 143 is a sensor that detects a surrounding sound.

In addition, the gyro sensor (gyroscope, 144) is a technology that is basically used for position measurement and direction setting as a concept using the dynamic motion of a rotating object.

In addition, the temperature sensor (Temperature Sensor, 145) is a sensor that responds to a change in temperature and is used to automate temperature management by detecting a change in temperature.

The temperature sensor 145 is a sensor that detects heat and generates an electrical signal. Generally, it is divided into a contact type and a non-contact type. The contact type measures the temperature value by directly contacting the actual measurement target, and the non-contact type measures the heat rays radiated from the object. way to do it

In addition, the humidity sensor ( 146 ) is a sensor that electrically detects humidity by using a property that a resistance value and dielectric constant of an organic polymer or ceramic changes due to water vapor in the air.

In addition, the impact sensor 147 is a sensor that detects an impact in the vicinity.

In addition, the gas discharge sensor 148 is a sensor for detecting the discharged gas.

The gas emission sensor 148 may operate in conjunction with the control unit 180, and the control unit 180 receives an electrical signal from each switch or sensor, amplifies the signal, and operates according to a pre-entered program to suit the control purpose. process, and command the relevant actuators (mainly solenoid valves such as vacuum switching valves and fuel shutoff valves in the exhaust gas control relationship).

On the other hand, the output unit 150 is for generating an output related to visual, auditory or tactile sense, which includes a display unit 151 , a sound output module 152 , an alarm unit 153 , a haptic module 154 , and a projector. A module 155 and the like may be included.

The display unit 151 displays (outputs) information processed in the system.

The display unit 151 is a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display (flexible). display) and at least one of a three-dimensional display (3D display).

Some of these displays may be of a transparent type or a light-transmitting type so that the outside can be viewed through them. This may be referred to as a transparent display, and a typical example of the transparent display is a TOLED (Transparant OLED). The rear structure of the display unit 151 may also be configured as a light-transmitting structure. With this structure, the user can see an object located at the rear of the system body through the area occupied by the display unit 151 of the system body.

When the display unit 151 and the sensor for sensing a touch operation (hereinafter, referred to as a 'touch sensor') form a layered structure (hereinafter referred to as a 'touch screen'), the display unit 151 may be used in addition to the output device. It can also be used as an input device. The touch sensor may have the form of, for example, a touch film, a touch sheet, a touch pad, or the like.

The touch sensor may be configured to convert a change in pressure applied to a specific portion of the display unit 151 or capacitance generated in a specific portion of the display unit 151 into an electrical input signal. The touch sensor may be configured to detect not only the touched position and area, but also the pressure at the time of the touch.

When there is a touch input to the touch sensor, a signal(s) corresponding thereto is sent to the touch controller. The touch controller processes the signal(s) and then transmits corresponding data to the controller 180 . Accordingly, the controller 180 can know which area of the display unit 151 has been touched, and the like.

The proximity sensor 141 may be disposed in an inner region of the system covered by the touch screen or in the vicinity of the touch screen. The proximity sensor refers to a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object existing in the vicinity without mechanical contact using the force of an electromagnetic field or infrared rays. Proximity sensors have a longer lifespan than contact sensors and their utility is also high.

Examples of the proximity sensor include a transmission type photoelectric sensor, a direct reflection type photoelectric sensor, a mirror reflection type photoelectric sensor, a high frequency oscillation type proximity sensor, a capacitive type proximity sensor, a magnetic type proximity sensor, and an infrared proximity sensor. When the touch screen is of a capacitive type, it is configured to detect the proximity of the pointer by a change in an electric field according to the proximity of the pointer. In this case, the touch screen (touch sensor) may be classified as a proximity sensor.

The sound output module 152 may output audio data received from the wireless communication unit 110 or stored in the memory 160 in a recording mode, a voice recognition mode, a broadcast reception mode, and the like. The sound output module 152 also outputs a sound signal related to a function performed in the system. The sound output module 152 may include a receiver, a speaker, a buzzer, and the like.

The alarm unit 153 outputs a signal for notifying the occurrence of an event in the system.

The alarm unit 153 may output a signal for notifying the occurrence of an event in a form other than a video signal or an audio signal, for example, vibration.

The video signal or audio signal may also be output through the display unit 151 or the audio output module 152 , and thus they may be classified as a part of the alarm unit 153 .

The haptic module 154 generates various tactile effects that the user can feel. A representative example of the tactile effect generated by the haptic module 154 is vibration. The intensity and pattern of vibration generated by the haptic module 154 are controllable.

For example, different vibrations may be synthesized and output or may be output sequentially.

In addition to vibration, the haptic module 154 is a pin arrangement that moves vertically with respect to the contact skin surface, the ejection force or suction force of air through the nozzle or suction port, the grazing on the skin surface, contact with the electrode, electrostatic force, etc. Various tactile effects can be generated, such as an effect caused by heat absorption and an effect by reproducing a feeling of cold and heat using an element capable of absorbing heat or generating heat.

The haptic module 154 may not only deliver the tactile effect through direct contact, but may also be implemented so that the user can feel the tactile effect through a muscle sense such as a finger or arm. Two or more haptic modules 154 may be provided depending on the configuration of the portable system.

The projector module 155 is a component for performing an image project function using a system, and is identical to or at least part of the image displayed on the display unit 151 according to a control signal of the control unit 180 . Another image can be displayed on an external screen or wall.

Specifically, the projector module 155 generates an image to be output to the outside using a light source (not shown) that generates light (for example, laser light) for outputting an image to the outside, and the light generated by the light source. It may include a lens (not shown) for magnifying and outputting an image to the outside at a predetermined focal length, and an image generating means (not shown) for doing so. In addition, the projector module 155 may include a device (not shown) capable of adjusting an image projection direction by mechanically moving a lens or the entire module.

The projector module 155 may be divided into a cathode ray tube (CRT) module, a liquid crystal display (LCD) module, a digital light processing (DLP) module, and the like according to the device type of the display means. In particular, the DLP module may be advantageous for miniaturization of the projector module 151 by enlarging and projecting an image generated when light generated from a light source is reflected by a digital micromirror device (DMD) chip.

Preferably, the projector module 155 may be provided in the longitudinal direction on the side, front, or rear surface of the system. Of course, it goes without saying that the projector module 155 may be provided at any position in the system, if necessary.

The memory unit 160 may store a program for processing and control of the controller 180, and has a function for temporarily storing input/output data (eg, message, audio, still image, moving image, etc.). can also be performed. The frequency of use of each of the data may also be stored in the memory unit 160 . In addition, the memory unit 160 may store data related to vibration and sound of various patterns output when a touch input on the touch screen is input.

The memory 160 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory), and a RAM. (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic It may include at least one type of storage medium among a disk and an optical disk. The system may operate in relation to a web storage that performs a storage function of the memory 160 on the Internet.

The interface unit 170 serves as a passage with all external systems connected to the system. The interface unit 170 receives data from an external system, receives power and transmits it to each component inside the system, or allows data inside the system to be transmitted to an external system. For example, wired/wireless headset ports, external charger ports, wired/wireless data ports, memory card ports, ports for connecting devices equipped with identification modules, audio input/output (I/O) ports, A video I/O (Input/Output) port, an earphone port, etc. may be included in the interface unit 170 .

The identification module is a chip that stores various information for authenticating the use authority of the system, and includes a User Identify Module (UIM), a Subscriber Identify Module (SIM), and a Universal Subscriber Identity Module. , USIM) and the like. A device equipped with an identification module (hereinafter, 'identification device') may be manufactured in the form of a smart card. Accordingly, the identification device may be connected to the system through the port.

The interface unit has a path through which power from the cradle is supplied to the mobile system when the mobile system is connected to an external cradle, or through which various command signals input from the cradle by a user are transmitted to the mobile system. can be Various command signals or the power input from the cradle may be operated as signals for recognizing that the mobile system is correctly mounted on the cradle.

The controller 180 generally controls the overall operation of the system.

The power supply unit 190 receives external power and internal power under the control of the control unit 180 to supply power necessary for the operation of each component.

Various embodiments described herein may be implemented in a computer-readable recording medium using, for example, software, hardware, or a combination thereof.

According to the hardware implementation, the embodiments described herein are ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays, It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and other electrical units for performing functions. The described embodiments may be implemented by the controller 180 itself.

According to the software implementation, embodiments such as the procedures and functions described in this specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein. The software code may be implemented as a software application written in a suitable programming language. The software code may be stored in the memory 160 and executed by the controller 180 .

The quality data analysis and recipe optimization system 100 using press forming information according to the present invention based on the above-described configuration will be described in more detail.

Figure 2 shows a specific example in which the quality data analysis and recipe optimization technique using press molding information is applied in relation to the present invention.

Referring to Figure 2, (a) shows the specific location of the smart mold mounting in the press.

Referring to Figure 2 (a), an example of the press machine 210 is equipped with a smart mold is shown.

In addition, referring to Fig. 2 (b), an example in which a sensor in the press mold is attached is shown.

In (b) of FIG. 2, an example of the arrangement of the temperature sensor 145 and the pressure sensor 142 is shown.

The information collected by these sensors is collected through the information collection communication device 110 , and mold press information 310 is derived from the temperature measurement device 220 , the pressure measurement device 230 , and the like.

Accordingly, the information collection communication device 110 transmits mold press information to the press process data analysis system (Edge Computing, 240), which is a type of the control unit 180 .

The mold press information may include molding pressure, punch pressure, cycle time, mold temperature, press machine information, material characteristic information, inspection information, and the like.

In addition, Figure 3 shows an example of a practical application model of the press forming quality control technique in relation to the present invention.

3A shows a specific example of applying multiple linear regression analysis and SVM-applied failure prediction model as a failure prediction model.

In addition, (b) of FIG. 3 is a press recipe optimization analysis model, showing a specific example in which multiple linear regression analysis and ANOVA applied optimization analysis model are applied.

In addition, (c) of FIG. 3 is a maintenance prediction model, showing a specific example of applying a maintenance analysis model applied to multiple linear regression analysis and ANOVA.

Hereinafter, a method of analyzing quality data and optimizing a recipe using press molding information based on the above-described configurations of the present invention will be described in detail with reference to the drawings.

Quality data analysis and recipe optimization method using press molding information

4 is a flowchart illustrating a method for quality data analysis and recipe optimization using press molding information according to the present invention.

Referring to FIG. 4 , first, the press prototype manufacturing step (S1) proceeds.

Then, by the system 100 according to the present invention, the step S2 of estimating the quality factor characteristic information is performed.

The press processing quality factor derived in step S2 may include press mold information, press machine information, material characteristic information, inspection information, and the like.

Specifically, the press mold information may include molding pressure, punch pressure, cycletime information, and the like.

In addition, the press machine information may include press pressure, press speed, stroke, vibration, temperature, and the like.

In addition, the material property information may include specific gravity, strength, shrinkage, and the like.

In addition, the inspection information may include dimensions, shape information, surface information, and the like.

In addition, in steps S1 and S2, press product manufacturing may be performed after selecting a range for deriving a quality factor characteristic curve.

This is for sampling establishment, and product selection, production quantity, quality factor characteristic information standard establishment, etc. are applied.

In addition, in step S2, quality factor characteristic information for each product is extracted.

Specifically, molding pressure, punch pressure, cycle time, mold temperature, press machine information, material characteristic information, inspection information, and the like are extracted.

Thereafter, a step (S3) of deriving a quality factor characteristic curve is performed.

In step S3, a quality factor characteristic curve for sampling is derived, and a failure prediction model, a press recipe optimization analysis model, and a maintenance prediction model are applied.

Thereafter, the step (S4) of designating the quality pass curve through the characteristic curve of the product corresponding to the quality pass during sampling is performed.

After step S4, mass production of mass-produced airing press is produced (S5), and quality factor characteristic information for each product is extracted in the manufacturing process (S6).

In addition, the control unit 180 generates a press processing characteristic change graph based on the extracted information, and then performs an operation of comparing it with the quality factor characteristic curve (S7).

Thereafter, the controller 180 compares whether the graph generated in step S7 is located within the range of the quality factor characteristic curve (S8), and if it is within the range, controls to continue production after the first quality pass determination (S9).

At this time, it is possible to increase the precision of the quality standard by re-reflecting the graph of the change in the press processing characteristics of step S9 on the quality factor characteristic curve (S10).

On the other hand, if it is out of the range in step S8, a quality rejection decision is made (S11), and the control unit 180 analyzes the elements and causes outside the quality range of the characteristic curve corresponding to the result of S11 (S12).

After that, the product production proceeds after quality corrective measures for the derived results according to step S12 (S13).

Effects according to the present invention

The present invention can provide a user with a quality data analysis and recipe optimization technique using press molding information in order to solve the problems of the prior art.

Specifically, the present invention can provide a quality information management technique capable of reducing quality inspection costs, securing quality reliability, and improving productivity by managing characteristic information according to time change of major factors affecting press plastic working quality.

In addition, according to the present invention, it is possible to proceed without quality inspection on quality first-passed products, thereby saving resources and time required for quality control.

In addition, according to the present invention, it is possible to increase the quality reliability by blocking in advance the inflow of non-conforming quality products that are not discriminated through visual inspection.

In addition, according to the present invention, it is possible to reduce the recurrence of defects and the period of defects by quickly identifying the characteristic factors of non-quality products and taking corrective measures.

On the other hand, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be able

In addition, the above-described embodiments of the present invention may be implemented through various means. For example, embodiments of the present invention may be implemented by hardware, firmware, software, or a combination thereof.

In case of implementation by hardware, the method according to embodiments of the present invention may include one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), and Programmable Logic Devices (PLDs). , FPGAs (Field Programmable Gate Arrays), processors, controllers, microcontrollers, microprocessors, and the like.

In the case of implementation by firmware or software, the method according to the embodiments of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described above. The software code may be stored in the memory unit and driven by the processor. The memory unit may be located inside or outside the processor, and may transmit and receive data to and from the processor by various known means.

The detailed description of the preferred embodiments of the present invention disclosed as described above is provided to enable any person skilled in the art to make and practice the present invention. Although the above has been described with reference to preferred embodiments of the present invention, it will be understood by those skilled in the art that various modifications and changes can be made to the present invention without departing from the scope of the present invention. For example, those skilled in the art may use each configuration described in the above-described embodiments in a way in combination with each other. Accordingly, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The present invention may be embodied in other specific forms without departing from the spirit and essential characteristics of the present invention. Accordingly, the above detailed description should not be construed as restrictive in all respects but as exemplary. The scope of the present invention should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present invention are included in the scope of the present invention. The present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. In addition, claims that are not explicitly cited in the claims may be combined to form an embodiment, or may be included as new claims by amendment after filing.

Claims (7)

A first step of presetting manufacturing conditions related to press working;
A second step of manufacturing a plurality of press products according to the preset manufacturing conditions
A third step of extracting first characteristic information about the quality factor of each of the plurality of press products
a fourth step of deriving quality factor characteristic curves for the plurality of press products based on the extracted first characteristic information;
a fifth step of extracting a first press product satisfying a preset quality condition from among the plurality of press products based on the quality factor characteristic curve;
a sixth step of designating a characteristic curve of the first press product as a quality pass characteristic curve;
a seventh step of manufacturing a plurality of regular products by using the press working;
an eighth step of extracting second characteristic information about the quality factors of each of the plurality of regular products;
a ninth step of generating press processing characteristic change data for the plurality of regular products based on the extracted second characteristic information; and
A tenth step of determining whether the generated press processing characteristic change data exists within the range of the quality pass characteristic curve; quality data analysis and recipe optimization method using press molding information comprising a.
The method of claim 1,
In the tenth step,
When the generated press processing characteristic change data is within the range of the quality pass characteristic curve,
an eleventh step of determining quality acceptance for the plurality of regular products and continuing to produce; and
A twelfth step of additionally reflecting the generated press processing characteristic change data on the quality pass characteristic curve; quality data analysis and recipe optimization method using press molding information, characterized in that it further comprises.
The method of claim 1,
In the tenth step,
When the generated press processing characteristic change data is out of the range of the quality pass characteristic curve,
an eleventh step of judging the quality of the plurality of regular products and stopping production of the plurality of regular products;
a twelfth step of identifying factors and causes outside the above range;
a thirteenth step of additionally reflecting the identified factors and causes to the plurality of regular product manufacturing conditions; and
A 14th step of resuming the production of the plurality of regular products based on the additionally reflected conditions; quality data analysis and recipe optimization method using press molding information, characterized in that it further comprises.
The method of claim 1,
The preset production conditions are,
Quality data analysis and recipe optimization method using press molding information, characterized in that it includes a type condition, a quantity condition, and a reference condition of the quality factor characteristic information.
The method of claim 1,
The quality factor is
including press mold information, press machine information, material property information and inspection information,
The press mold information includes molding pressure information, punch pressure information, and cycle time information,
The press machine information includes press pressure information, press speed information, stroke information, vibration information and temperature information,
The material property information includes specific gravity information, strength information and shrinkage information,
The inspection information is quality data analysis and recipe optimization method using press molding information, characterized in that it includes dimension information, shape information and surface information.
The method of claim 1,
The first characteristic information and the second characteristic information,
Quality data analysis and recipe optimization method using press molding information, characterized in that it includes molding pressure information, punch pressure information, cycle time information, mold temperature information, press machine information, material property information, and inspection information.
The method of claim 1,
The quality factor characteristic curve is,
Quality data analysis and recipe optimization method using press molding information, characterized in that it is derived based on at least one of a failure prediction model, a press recipe optimization analysis model, and a maintenance prediction model.

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