CN114312242A - Efficient automobile air outlet panel assembling process - Google Patents
Efficient automobile air outlet panel assembling process Download PDFInfo
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- CN114312242A CN114312242A CN202111367438.XA CN202111367438A CN114312242A CN 114312242 A CN114312242 A CN 114312242A CN 202111367438 A CN202111367438 A CN 202111367438A CN 114312242 A CN114312242 A CN 114312242A
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 239000003973 paint Substances 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000010801 machine learning Methods 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 239000000758 substrate Substances 0.000 claims abstract description 6
- 238000001746 injection moulding Methods 0.000 claims description 35
- 238000001035 drying Methods 0.000 claims description 28
- 238000001816 cooling Methods 0.000 claims description 20
- 230000007547 defect Effects 0.000 claims description 18
- 238000005498 polishing Methods 0.000 claims description 18
- 239000002994 raw material Substances 0.000 claims description 15
- 238000005507 spraying Methods 0.000 claims description 14
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 239000000725 suspension Substances 0.000 claims description 11
- 238000003062 neural network model Methods 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 238000007598 dipping method Methods 0.000 claims description 5
- 238000007599 discharging Methods 0.000 claims description 5
- 238000010438 heat treatment Methods 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 5
- 238000002844 melting Methods 0.000 claims description 5
- 230000008018 melting Effects 0.000 claims description 5
- 238000004381 surface treatment Methods 0.000 claims description 5
- 239000003292 glue Substances 0.000 claims description 4
- 238000002347 injection Methods 0.000 claims description 4
- 239000007924 injection Substances 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 239000012535 impurity Substances 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 abstract description 4
- 239000000243 solution Substances 0.000 description 10
- 238000001914 filtration Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003618 dip coating Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000012536 packaging technology Methods 0.000 description 1
- 238000007517 polishing process Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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Abstract
The invention discloses a high-efficiency automobile air outlet panel assembling process, which belongs to the technical field of automobile assembling processes, and comprises the following steps of S101, panel forming; s102, pre-identifying a substrate; s103, processing the surface of the panel; s104, adhering primer; s105, attaching finish paint; s106, image recognition; and S107, assembling and identifying. According to the invention, the comparison traceability of processing errors in the process of assembling the air outlet panel is effectively ensured, the yield of the automobile panel during processing and assembling is effectively improved, the dependence on manual screening is reduced, the requirement on the screening precision of large-scale assembling and processing of the automobile air outlet panel is met, the detection precision of the whole assembling process is ensured through machine learning, the judgment precision of the assembling precision in the multi-axis direction is improved through the positioning and recognition of the image vector of the assembling position, the machine learning precision of assembling of panels of different models is favorably realized, and the requirement on sustainable large-scale utilization is met.
Description
Technical Field
The invention belongs to the technical field of automobile assembling processes, and particularly relates to an efficient automobile air outlet panel assembling process.
Background
Along with the development of science and technology, the automobile generally can be in whole system in addition air conditioner heat transfer system for the circulation of inside air and the circulation of whole gas circuit, the cold and hot circulation heat supply of heat realization is passed through to the air conditioner through the heat of compressor and engine, and the circulation of the air in the automobile body mainly realizes through the air conditioner air outlet with compressor heat exchanger intercommunication, in order to adjust the air-out scope of air outlet, imitate the air outlet panel of air conditioner air outlet and also being gradually valued, how to adjust air outlet shape and packaging technology and satisfy the aerodynamic needs of air-out of air outlet, then need further research.
Chinese patent document CN109398038A discloses a high-efficiency automobile air outlet panel assembly production process, which comprises the following process steps: adopting water-based dip coating of a primer, putting the panel A into a container filled with the primer, then swinging back and forth to fully mix the panel A with the primer, after the primer is adhered, putting the panel A into a drying chamber A for drying, and obtaining a panel B after drying; spraying finish paint on the panel: spraying environment-friendly finish paint on the inner surface and the outer surface of the panel B, drying the sprayed panel B in a drying chamber B, and drying to obtain a panel C; assembling an air outlet: the panel C is placed on the production line, the special assembly auxiliary device is installed beside the production line, when the panel C reaches the position below the special assembly auxiliary device, the panel C is fixed through the suction nozzles, and then the air conditioner air outlet is assembled on the panel C by workers. The panel assembly and assembly method can realize assembly and assembly of the panel, but in practical application, the panel defect is not correctly identified and processed, the panel production, paint spraying and assembly error inspection can only be identified manually, the error rate is high, and the use requirement can not be well met.
Disclosure of Invention
The invention aims to: the efficient automobile air outlet panel assembling process is provided for solving the problems that the assembly and assembly of the panel are realized, but in actual application, the defect of the panel is not correctly identified and processed, the panel production, the paint spraying and the assembly error checking can only be manually identified, and the error rate is high.
In order to achieve the purpose, the invention adopts the following technical scheme:
the high-efficiency automobile air outlet panel assembling process specifically comprises the following steps:
s101, panel forming, namely extruding and melting panel raw material master batches through an extruder, injecting the extruded and melted panel raw material master batches into injection molding machine equipment, pressurizing and extruding the melted raw material liquid into an injection molding mold through an injection molding machine, performing prefabricated injection molding on an air outlet panel through the injection molding mold, standing, cooling and forming after injection molding and flowing are completed, performing water bath cooling through a cooling tank after the panel is formed and demoulded, and standing for 24 hours to wait for the cooling to be completed;
s102, pre-identifying a substrate, carrying out image identification on the molded mold to detect defects, discharging unqualified panels through a cylinder ejection mechanism after an image identification device detects that the panels exceed a rated defect threshold, reserving and recovering for later use, and conveying qualified panels into a polishing unit through a feeding mechanism to carry out surface treatment;
s103, processing the surface of the panel, namely putting the panel into the abrasive suspension, performing ultrasonic polishing on the injection molding panel by using an ultrasonic generating device, and simultaneously processing the air outlet panel and the grid position;
s104, adhering primer, namely adhering the primer to the surface of the panel by using a dipping method, heating and baking the adhered panel, and sending the panel into a finish production process;
s105, attaching finish paint, immersing the dried panel into the finish paint, taking out the panel after the finish paint is fully soaked, standing the panel at the top of a paint draining rack until the finish paint on the surface flows and drops, and sending the panel into a drying room for drying;
s106, identifying the color difference and the spraying uniformity of the primer attaching surface through an image identification device, and performing an assembly procedure after the color difference and the spraying uniformity are qualified;
s107, assembling, namely installing an air outlet, embedding a panel into a corresponding position of the air outlet, detecting, identifying and detecting the panel opening through image identification, and identifying and judging that the panel is assembled without errors.
As a further description of the above technical solution:
the method also comprises the treatment of the scraps in the polishing process, and specifically comprises the steps of extracting part of the abrasive suspension in the ultrasonic polishing tank for impurity filtering after 2-5 times of ultrasonic polishing, and adding part of the abrasive suspension as supplement.
As a further description of the above technical solution:
the image recognition defect detection comprises the steps of collecting an image to be recognized, performing machine learning stage recognition on the image through a recognition model, comparing the model with the image to judge an error threshold value, outputting an alarm signal, and finishing image recognition processing.
As a further description of the above technical solution:
the method for establishing the image recognition model specifically comprises the following steps:
s201, performing reverse convolution cloud machine learning on an output layer and an input layer of the neural network model through image model data;
s202, obtaining a judgment threshold value of image recognition in the corresponding step through training of the neural network, and performing weighted enabling on a hidden layer of the neural network model through the threshold value;
and S203, carrying out image identification verification on the obtained weighted value to obtain corresponding detection data, and finishing model training after the error is smaller than the approved threshold.
As a further description of the above technical solution:
the recognition of the embedded position of the air outlet panel by the neural network model comprises the positioning of the periphery of the air outlet panel, the judgment of the vector and the angle position after the positioning, the stretching judgment of the vector position in the database, and the judgment of the vector position passing when the error is smaller than the judgment threshold value.
As a further description of the above technical solution:
the drying temperature of the finish paint is 50-60 ℃, and the drying time is 5-8 min.
As a further description of the above technical solution:
the drying temperature of the primer is 70-75 ℃, and the drying time is 3-4 min.
As a further description of the above technical solution:
and in the S102, the rated defect threshold value of the formed panel is 3-5 mm.
As a further description of the above technical solution:
the glue injection process is a negative pressure suction glue injection method.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
according to the invention, a full-flow visual identification monitoring flow is formed by the production end, the preprocessing end and the assembly end when the air outlet panel is assembled by introducing the image identification system, so that the contrast traceability of processing errors in the air outlet panel assembling process is effectively ensured, the yield of the automobile panel during processing and assembling is effectively improved, the dependence on manual screening is reduced, the screening precision requirement on the large-scale assembling and processing of the automobile air outlet panel is met, the detection precision of the full-flow assembling process is ensured by machine learning, meanwhile, the judgment precision of the assembling precision in the multi-axis direction is improved by positioning and identifying the image vector of the assembling position, the machine learning precision of the assembling of panels of different types is favorably realized, and the requirement of sustainable large-scale utilization is met.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a technical scheme that: the high-efficiency automobile air outlet panel assembling process specifically comprises the following steps:
s101, panel forming, namely extruding and melting panel raw material master batches through an extruder, injecting the extruded and melted panel raw material master batches into injection molding machine equipment, pressurizing and extruding the melted raw material liquid into an injection molding mold through an injection molding machine, performing prefabricated injection molding on an air outlet panel through the injection molding mold, standing, cooling and forming after injection molding and flowing are completed, performing water bath cooling through a cooling tank after the panel is formed and demoulded, and standing for 24 hours to wait for the cooling to be completed;
s102, pre-identifying a substrate, carrying out image identification on the molded mold to detect defects, discharging unqualified panels through a cylinder ejection mechanism after an image identification device detects that the panels exceed a rated defect threshold, reserving and recovering for later use, and conveying qualified panels into a polishing unit through a feeding mechanism to carry out surface treatment;
s103, processing the surface of the panel, namely putting the panel into the abrasive suspension, performing ultrasonic polishing on the injection molding panel by using an ultrasonic generating device, and simultaneously processing the air outlet panel and the grid position;
s104, adhering primer, namely adhering the primer to the surface of the panel by using a dipping method, heating and baking the adhered panel, and sending the panel into a finish production process;
s105, attaching finish paint, immersing the dried panel into the finish paint, taking out the panel after the finish paint is fully soaked, standing the panel at the top of a paint draining rack until the finish paint on the surface flows and drops, and sending the panel into a drying room for drying;
s106, identifying the color difference and the spraying uniformity of the primer attaching surface through an image identification device, and performing an assembly procedure after the color difference and the spraying uniformity are qualified;
s107, assembling, namely installing an air outlet, embedding a panel into a corresponding position of the air outlet, detecting, identifying and detecting the panel opening through image identification, and identifying and judging that the panel is assembled without errors.
The method also comprises the treatment of the scraps during polishing, and specifically comprises the steps of extracting part of the abrasive suspension in the ultrasonic polishing tank for impurity filtering after 2-5 times of ultrasonic polishing, and adding part of the abrasive suspension as supplement;
the image recognition defect detection comprises the steps of collecting an image to be recognized, performing machine learning stage recognition on the image through a recognition model, comparing the model with the image to judge an error threshold value, and outputting an alarm signal to finish image recognition processing;
the drying temperature of the finish paint is 50-60 ℃, the drying time is 5-8min, the drying temperature of the primer paint is 70-75 ℃, the drying time is 3-4min, and the rated defect threshold of the molded panel in S102 is 3-5 mm.
Example 2
The invention provides a technical scheme that: the high-efficiency automobile air outlet panel assembling process specifically comprises the following steps:
s101, panel forming, namely extruding and melting panel raw material master batches through an extruder, injecting the extruded and melted panel raw material master batches into injection molding machine equipment, pressurizing and extruding the melted raw material liquid into an injection molding mold through an injection molding machine, performing prefabricated injection molding on an air outlet panel through the injection molding mold, standing, cooling and forming after injection molding and flowing are completed, performing water bath cooling through a cooling tank after the panel is formed and demoulded, and standing for 24 hours to wait for the cooling to be completed;
s102, pre-identifying a substrate, carrying out image identification on the molded mold to detect defects, discharging unqualified panels through a cylinder ejection mechanism after an image identification device detects that the panels exceed a rated defect threshold, reserving and recovering for later use, and conveying qualified panels into a polishing unit through a feeding mechanism to carry out surface treatment;
s103, processing the surface of the panel, namely putting the panel into the abrasive suspension, performing ultrasonic polishing on the injection molding panel by using an ultrasonic generating device, and simultaneously processing the air outlet panel and the grid position;
s104, adhering primer, namely adhering the primer to the surface of the panel by using a dipping method, heating and baking the adhered panel, and sending the panel into a finish production process;
s105, attaching finish paint, immersing the dried panel into the finish paint, taking out the panel after the finish paint is fully soaked, standing the panel at the top of a paint draining rack until the finish paint on the surface flows and drops, and sending the panel into a drying room for drying;
s106, identifying the color difference and the spraying uniformity of the primer attaching surface through an image identification device, and performing an assembly procedure after the color difference and the spraying uniformity are qualified;
s107, assembling, namely installing an air outlet, embedding a panel into a corresponding position of the air outlet, detecting, identifying and detecting the panel opening through image identification, and identifying and judging that the panel is assembled without errors.
The method for establishing the image recognition model specifically comprises the following steps:
s201, performing reverse convolution cloud machine learning on an output layer and an input layer of the neural network model through image model data;
s202, obtaining a judgment threshold value of image recognition in the corresponding step through training of the neural network, and performing weighted enabling on a hidden layer of the neural network model through the threshold value;
and S203, carrying out image identification verification on the obtained weighted value to obtain corresponding detection data, and finishing model training after the error is smaller than the approved threshold.
Example 3
The invention provides a technical scheme that: the high-efficiency automobile air outlet panel assembling process specifically comprises the following steps:
s101, panel forming, namely extruding and melting panel raw material master batches through an extruder, injecting the extruded and melted panel raw material master batches into injection molding machine equipment, pressurizing and extruding the melted raw material liquid into an injection molding mold through an injection molding machine, performing prefabricated injection molding on an air outlet panel through the injection molding mold, standing, cooling and forming after injection molding and flowing are completed, performing water bath cooling through a cooling tank after the panel is formed and demoulded, and standing for 24 hours to wait for the cooling to be completed;
s102, pre-identifying a substrate, carrying out image identification on the molded mold to detect defects, discharging unqualified panels through a cylinder ejection mechanism after an image identification device detects that the panels exceed a rated defect threshold, reserving and recovering for later use, and conveying qualified panels into a polishing unit through a feeding mechanism to carry out surface treatment;
s103, processing the surface of the panel, namely putting the panel into the abrasive suspension, performing ultrasonic polishing on the injection molding panel by using an ultrasonic generating device, and simultaneously processing the air outlet panel and the grid position;
s104, adhering primer, namely adhering the primer to the surface of the panel by using a dipping method, heating and baking the adhered panel, and sending the panel into a finish production process;
s105, attaching finish paint, immersing the dried panel into the finish paint, taking out the panel after the finish paint is fully soaked, standing the panel at the top of a paint draining rack until the finish paint on the surface flows and drops, and sending the panel into a drying room for drying;
s106, identifying the color difference and the spraying uniformity of the primer attaching surface through an image identification device, and performing an assembly procedure after the color difference and the spraying uniformity are qualified;
s107, assembling, namely installing an air outlet, embedding a panel into a corresponding position of the air outlet, detecting, identifying and detecting the panel opening through image identification, and identifying and judging that the panel is assembled without errors.
The identification of the embedded position of the air outlet panel by the neural network model comprises the positioning of the periphery of the air outlet panel, and the vector and the angle position are judged after the positioning, the vector is obtained by dividing and positioning color blocks of image identification, the preferred method improves the judgment precision by carrying out gray-scale frame insertion processing on the image during the image identification, reduces the image color storage data, and carries out synchronous stretching judgment on the vector position in a database, and the judgment comparison formula is as follows:
wherein x and y are the distance between the point location coordinates of the identification area, XY is the distance between the point locations of the threshold area, and Kn is the error threshold ratio of the current model panel;
when the ratio of the error of the two to the Kn exceeds the preset value K of the model, the judgment error exceeds the threshold value, the error is identified as the error of comparing the vector change proportion with the image stretching proportion, and when the error is smaller than the judgment threshold value, the judgment is passed, so that the sequential capturing and comparison of image color scales required by assembly error judgment are effectively reduced, and the judgment efficiency is improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The high-efficiency automobile air outlet panel assembling process is characterized by comprising the following steps:
s101, panel forming, namely extruding and melting panel raw material master batches through an extruder, injecting the extruded and melted panel raw material master batches into injection molding machine equipment, pressurizing and extruding the melted raw material liquid into an injection molding mold through an injection molding machine, performing prefabricated injection molding on an air outlet panel through the injection molding mold, standing, cooling and forming after injection molding and flowing are completed, performing water bath cooling through a cooling tank after the panel is formed and demoulded, and standing for 24 hours to wait for the cooling to be completed;
s102, pre-identifying a substrate, carrying out image identification on the molded mold to detect defects, discharging unqualified panels through a cylinder ejection mechanism after an image identification device detects that the panels exceed a rated defect threshold, reserving and recovering for later use, and conveying qualified panels into a polishing unit through a feeding mechanism to carry out surface treatment;
s103, processing the surface of the panel, namely putting the panel into the abrasive suspension, performing ultrasonic polishing on the injection molding panel by using an ultrasonic generating device, and simultaneously processing the air outlet panel and the grid position;
s104, adhering primer, namely adhering the primer to the surface of the panel by using a dipping method, heating and baking the adhered panel, and sending the panel into a finish production process;
s105, attaching finish paint, immersing the dried panel into the finish paint, taking out the panel after the finish paint is fully soaked, standing the panel at the top of a paint draining rack until the finish paint on the surface flows and drops, and sending the panel into a drying room for drying;
s106, identifying the color difference and the spraying uniformity of the primer attaching surface through an image identification device, and performing an assembly procedure after the color difference and the spraying uniformity are qualified;
s107, assembling, namely installing an air outlet, embedding a panel into a corresponding position of the air outlet, detecting, identifying and detecting the panel opening through image identification, and identifying and judging that the panel is assembled without errors.
2. The process for assembling the air outlet panel of the high-efficiency automobile as claimed in claim 1, wherein the process further comprises processing scraps generated during polishing, specifically comprising extracting part of the abrasive suspension in the ultrasonic polishing tank to filter impurities after 2-5 times of ultrasonic polishing, and adding part of the abrasive suspension as a supplement.
3. The process of claim 1, wherein the image recognition for detecting defects comprises acquiring an image to be recognized, performing machine-learning recognition on the image through a recognition model, comparing the model with a determined error threshold, and outputting an alarm signal to complete image recognition.
4. The process for assembling the efficient automobile air outlet panel according to claim 3, wherein the method for establishing the image recognition model specifically comprises the following steps:
s201, performing reverse convolution cloud machine learning on an output layer and an input layer of the neural network model through image model data;
s202, obtaining a judgment threshold value of image recognition in the corresponding step through training of the neural network, and performing weighted enabling on a hidden layer of the neural network model through the threshold value;
and S203, carrying out image identification verification on the obtained weighted value to obtain corresponding detection data, and finishing model training after the error is smaller than the approved threshold.
5. The process of claim 4, wherein the recognition of the embedded position of the outlet panel by the neural network model comprises positioning the periphery of the outlet panel, and determining the vector and the angular position after the positioning, and determining that the vector position passes by stretching the position in the database, when the error is smaller than a determination threshold.
6. The process for assembling the air outlet panel of the high-efficiency automobile as claimed in claim 1, wherein the drying temperature of the finish paint is 50-60 ℃, and the drying time is 5-8 min.
7. The process for assembling the air outlet panel of the high-efficiency automobile as claimed in claim 1, wherein the drying temperature of the primer is 70-75 ℃ and the drying time is 3-4 min.
8. The process for assembling the efficient automobile air outlet panel according to claim 1, wherein the rated defect threshold of the molded panel in the S102 is 3-5 mm.
9. The assembly process for the efficient automobile air outlet panel according to claim 1, wherein the glue injection process is a negative pressure suction glue injection method.
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| CN112734865A (en) * | 2020-12-21 | 2021-04-30 | 龙志强 | Portable paint color distribution analysis platform and method |
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2021
- 2021-11-18 CN CN202111367438.XA patent/CN114312242A/en active Pending
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| JPH07325048A (en) * | 1994-05-30 | 1995-12-12 | Sumitomo Metal Ind Ltd | On-line controlling method for ground coat treatment |
| JP2017156097A (en) * | 2016-02-29 | 2017-09-07 | 株式会社ブレイン | Painting inspection device |
| US20200074238A1 (en) * | 2018-08-28 | 2020-03-05 | Morpho, Inc. | Image identification apparatus, image identification method, and recording medium |
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