CN112816494A - Intelligent detection system for mechanical properties of parts - Google Patents

Intelligent detection system for mechanical properties of parts Download PDF

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Publication number
CN112816494A
CN112816494A CN202011531846.XA CN202011531846A CN112816494A CN 112816494 A CN112816494 A CN 112816494A CN 202011531846 A CN202011531846 A CN 202011531846A CN 112816494 A CN112816494 A CN 112816494A
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parts
unit
module
qualified
microprocessor
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陈伟康
张欣
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Tuv Rheinland Shanghai Co ltd
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Tuv Rheinland Shanghai Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Manipulator (AREA)

Abstract

The invention relates to an intelligent detection system for mechanical properties of parts, which particularly comprises a material distribution module, an equipment detection module, a microprocessor and an information storage module, wherein the microprocessor is respectively and electrically connected with the material distribution module and the equipment detection module, the information storage module is respectively and electrically connected with the material distribution module, the equipment detection module and the microprocessor, and the information storage module is also connected with an external user side through a wireless signal. Compared with the prior art, the intelligent testing system can realize an automatic unattended part testing process, and an intelligent testing system is formed by the material distribution module and the equipment detection module, so that the overall automatic, networked and intelligent testing process is realized, the labor is obviously saved, the project period is shortened, the steps are simplified, the efficiency is improved, the precision is increased, and the intelligent testing system is revolutionarily upgraded compared with the traditional testing experiment system.

Description

Intelligent detection system for mechanical properties of parts
Technical Field
The invention relates to the field of detection of mechanical properties of parts, in particular to an intelligent detection system for the mechanical properties of parts.
Background
The detection of industrial parts is extremely important in various industrial application scenarios, and the content of the detection is generally examined on various mechanical properties, such as fatigue resistance and the like.
In the part testing process in the prior art, parts need to be installed in a testing tool, the parts are fixed in the testing tool through fasteners such as bolts, the testing tool needs to be conveyed to a testing device, then the parts are assembled again, the feeding process is completed, the discharging process needs to be performed after the testing is completed, namely, a carrier and the whole part to be tested are taken down by a detection platform and are placed in a storage area, and the discharging process is completed. Meanwhile, the existing tools have the problem of difficult loading and unloading of test pipes, only one test can be carried out at a time, the test process is long, the repetitive operation in the test is extremely large, and the operation process is complicated, so that the existing test efficiency is low; the carrier and the part to be tested that use in the testing process are metal material, and weight is great, leads to the handling process amount of labour of frock very big, and present material loading and unloading process are the human operation process, and this makes the test cost hold high. Meanwhile, the requirement of accurate placement of the carrier is involved, so that the labor intensity of the feeding and discharging processes is high, and the manual operation cannot be realized when more than one hundred parts to be tested face each other. The correspondence and statistics of large batch of test data also result in high later test cost.
Therefore, how to realize large-scale, high-precision and automatic industrial part detection and data recording is a technical problem which needs to be solved urgently in the field.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide an intelligent detection system for mechanical properties of parts.
The purpose of the invention can be realized by the following technical scheme:
the intelligent detection system for the mechanical property of the part comprises a material distribution module and an equipment detection module.
The system comprises a material distribution module, a material distribution module and a control module, wherein the material distribution module comprises an incoming material storage unit, a code spraying unit, an AGV-UR transportation unit, a to-be-detected material storage unit, a qualified product storage unit and a defective product storage unit, the AGV-UR transportation unit transfers parts in the material storage unit to the code spraying unit for primary screening, codes the codes of the qualified parts and transfers the qualified parts to the to-be-detected material storage unit, and transfers the defective parts to the defective product storage unit;
wherein the equipment detection module comprises a transfer robot, a testing device, a gun screwing robot, a testing tool parking unit, a visual detection robot and a workpiece loading and unloading positioning tool which are coupled with each other, the transfer robot transfers the testing tool on the testing tool parking unit to the workpiece loading and unloading positioning tool, then the AGV-UR transportation unit transfers the parts in the material storage unit to be tested to the testing tool and fastens the parts and the testing tool by screwing the gun robot, then the transfer robot transfers the parts to the testing device, the gun screwing robot fastens the testing tool and the testing device, the loading process is completed, then the testing device applies mechanical load with specific frequency to the parts, the test is completed, then the unloading is performed, the visual defect detection of the parts is completed by the visual detection robot, the AGV-UR transportation unit transfers qualified parts to the qualified product storage unit, transferring the defective part to a defective storage unit.
Furthermore, the AGV-UR transportation unit comprises a vehicle body, and a part tray and a mechanical arm which are arranged on the vehicle body.
The vehicle body is provided with a servo steering gear, a servo driver, a servo brake and other parts which are electrically connected with the microprocessor.
Furthermore, the intelligent detection system for the mechanical properties of the parts further comprises a microprocessor, and the microprocessor is electrically connected with the material distribution module and the equipment detection module respectively;
the visual inspection robot acquires picture information of a part and sends the picture information to the microprocessor, and the microprocessor sequentially performs median filtering, morphological processing, defect marking, defect feature extraction and defect identification on the picture information to obtain qualitative data and quantitative data of a defect;
the microprocessor compares the quantitative data of the part defect with a preset defect threshold, marks the serial number of the part as a defective part when the quantitative data of the defect is larger than the preset defect threshold, generates a defective part data unit, and marks the serial number of the part as a qualified part when the quantitative data of the defect is smaller than the preset threshold, and generates a qualified part data unit.
Furthermore, the intelligent detection system for the mechanical properties of the parts further comprises an information storage module, wherein the information storage module is respectively and electrically connected with the material distribution module, the equipment detection module and the microprocessor;
the information storage module is also connected with an external user side through a wireless signal;
the information storage module stores the defective part data unit generated by the microprocessor and forms a defective part data set, and stores the qualified part data unit generated by the microprocessor and forms a qualified part data set.
The information storage module is a cloud storage and/or a local storage. The user side comprises a mobile terminal interface and a PC interface of a user, and the user side can refer to a specific qualified part data set and a specific defective part data set according to the authority.
Furthermore, a visual defect detection unit is further arranged on one side of the code spraying unit, so that the primary screening of the parts is realized.
And code spraying and numbering can be carried out after primary screening, and the primary screening result is stored in the information storage module, wherein the information acquisition process, the picture processing algorithm and the defect judgment threshold setting of the visual defect detection unit are the same as the corresponding processes of the visual detection robot.
Further, the testing device comprises a carrying table and an applying assembly, the testing tool is fixed on the carrying table, and the applying assembly is connected to the upper surface of the testing tool. In specific implementation, the applying component can be a pushing force and pulling force output component which can continuously output, such as an air cylinder, an electric cylinder and the like.
Further, the test tool comprises a substrate, a transfer piece and a pressing plate;
the base plate is provided with a plurality of part mounting grooves, parts are inserted in the mounting grooves, one end of the transfer piece is connected to the lower portion of the pressing plate, the other end of the transfer piece is connected to the upper end of the parts, and the applying component is connected with the pressing plate.
The transmission piece is connected with the part at a specific angle so as to output a plurality of combinations of single or periodic shearing force, pulling force, pushing force and the like, thereby realizing the mechanical properties of the part, wherein the specific properties comprise the indexes of bending resistance, toughness, service life and the like under a fatigue test.
Further, the material delivery module further comprises a magnetic powder detection unit, before the AGV-UR transportation unit places the parts into the qualified product storage unit, the parts are placed into the magnetic powder detection unit for detection, the parts are placed into the qualified product storage unit after detection is achieved, and detection is unqualified.
Further, one side of transfer robot still is equipped with the bolt and stores the support, the bolt is stored and is equipped with a plurality of bolts on the support, transfer robot can place the bolt one by one to the test fixture in, screws up the fastening of rifle robot through screwing up the bolt and realizing part and test fixture.
For example, when the part for mechanical testing is a pipe fitting, the part is fastened by directly inserting a bolt into a pipe hole; for example, when the part to be subjected to the mechanical test is a rod, the test fixture is fixed by a clamp fastened by a bolt, and the clamp is fastened by tightening the bolt by a gun-tightening robot.
Further, the material distribution module further comprises a charging unit, and the AGV-UR transportation unit can be electrically connected with the charging unit.
And when the electric quantity of the AGV-UR transportation unit is insufficient, the microprocessor instructs the AGV-UR transportation unit to be in butt joint with the charging unit.
Compared with the prior art, the invention has the following technical advantages:
1. this technical scheme can realize automatic unmanned on duty's part test process, constitute wisdom test system through material delivery module and equipment detection module, wherein microprocessor is connected with material delivery module and equipment detection module electricity respectively, information storage module respectively with material delivery module, equipment detection module and microprocessor electricity are connected, information storage module still is connected with outside user side through radio signal, with this realization whole automation, networking and intelligent test process can show and use manpower sparingly, shorten the project cycle, simplify the step, raise the efficiency and increase the precision, carry out revolutionary's upgrading for traditional test experiment system.
2. The intelligent laboratory replaces manual operation with automatic intelligent equipment, and through realizing whole test data electronization, be favorable to the data analysis of multidimension degree, the trend analysis of the exactness of assistance analysis test process and analysis test product's failure mode and completion test life-span.
Drawings
Fig. 1 is a schematic structural diagram of a material distribution module in the present technical solution;
fig. 2 is a schematic structural diagram of the device detection module in the present technical solution.
In the figure: 1. the automatic detection device comprises an incoming material storage unit, a code spraying unit, a AGV-UR transportation unit, a material to be detected storage unit, a qualified product storage unit, a defective product storage unit, a magnetic powder detection unit, a carrying robot, a testing device, a tightening gun robot, a testing tool parking unit, a visual detection robot, a workpiece loading and unloading positioning tool, a bolt storage support, a vehicle body, a part tray, a part conveying robot, a bolt storage support, a vehicle body and.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Example 1
The intelligent detection system for the mechanical property of the part in the embodiment comprises a material distribution module, an equipment detection module, a microprocessor and an information storage module, wherein the microprocessor is electrically connected with the material distribution module and the equipment detection module respectively, the information storage module is electrically connected with the material distribution module, the equipment detection module and the microprocessor respectively, and the information storage module is further connected with an external user side through a wireless signal.
The material distribution module comprises an incoming material storage unit 1, a code spraying unit 2, an AGV-UR transportation unit 3, a to-be-detected material storage unit 4, a qualified product storage unit 5 and a defective product storage unit 6. One side of the code spraying unit 2 is also provided with a visual defect detection unit, so that the primary screening of parts is realized. The code spraying unit 2 is a laser code spraying device and can realize the marking of digital codes and two-dimensional codes. The storage unit 1, the AGV-UR transportation unit 3, the storage unit 4 for the materials to be detected, the qualified product storage unit 5 and the defective product storage unit 6 are all provided with a plurality of part placing grooves according to actual requirements.
The material delivery module further comprises a magnetic powder detection unit 7, the AGV-UR transportation unit 3 is used for placing the parts into the magnetic powder detection unit 7 for detection before placing the parts into the qualified product storage unit 5, and the parts are placed into the qualified product storage unit 5 after detection, and detection is unqualified.
The equipment detection module comprises a transfer robot 8, a testing device 9, a tightening gun robot 10, a testing tool parking unit 11, a visual detection robot 12 and an upper and lower positioning tool 13 which are coupled with each other. The AGV-UR transporting unit 3 includes a vehicle body 31, and a parts tray 32 and a robot arm 33 provided on the vehicle body 31. The vehicle body 31 is provided with components such as a servo steering gear, a servo driver, a servo brake and the like, and is electrically connected with the microprocessor.
The testing device 9 comprises a carrying table and an applying component, the testing tool is fixed on the carrying table, and the applying component is connected to the upper surface of the testing tool. In specific implementation, the applying component can be a pushing force and pulling force output component which can continuously output, such as an air cylinder, an electric cylinder and the like.
The test fixture comprises a base plate, a transmission piece and a pressing plate, wherein a plurality of part mounting grooves are formed in the base plate, the parts are inserted into the mounting grooves, one end of the transmission piece is connected to the lower portion of the pressing plate, the other end of the transmission piece is connected to the upper end of the parts, and the application assembly is connected with the pressing plate. The transmission piece is connected with the part at a specific angle so as to output a plurality of combinations of single or periodic shearing force, pulling force, pushing force and the like, thereby realizing the mechanical properties of the part, wherein the specific properties comprise the indexes of bending resistance, toughness, service life and the like under a fatigue test.
One side of transfer robot 8 still is equipped with the bolt and stores support 14, and the bolt is stored and is equipped with a plurality of bolts on the support 14, and transfer robot 8 can place the bolt one by one to test fixture, screws up rifle robot 10 and realizes the fastening of part and test fixture through screwing up the bolt. For example, when the part for mechanical testing is a pipe fitting, the part is fastened by directly inserting a bolt into a pipe hole; for example, when the component to be subjected to the mechanical test is a rod, the test fixture is fixed by a clamp fastened by a bolt, and the gun robot 10 is tightened to fasten the clamp by tightening the bolt.
The material distribution module further comprises a charging unit 13, and the AGV-UR transport unit 3 can be electrically connected with the charging unit 13. When the electric quantity of the AGV-UR transportation unit 3 is insufficient, the microprocessor instructs the AGV-UR transportation unit 3 to be butted with the charging unit 13.
When in specific operation:
the AGV-UR transportation unit 3 transfers the parts in the incoming material storage unit 1 to the code spraying unit 2 for primary screening. After the preliminary screening, code spraying and numbering can be carried out, and the preliminary screening result is stored in the information storage module, wherein the information acquisition process, the picture processing algorithm and the defect judgment threshold setting of the visual defect detection unit are the same as the corresponding processes of the visual detection robot 12.
And then, spraying codes on the qualified parts, transferring the qualified parts to a storage unit 4 for the materials to be detected, and transferring the defective parts to a defective product storage unit 6. The transfer robot 8 transfers the test tooling on the test tooling parking unit 11 to the upper and lower positioning tooling 13, then the AGV-UR transportation unit 3 transfers the parts in the to-be-tested material storage unit 4 to the test tooling and fastens the parts and the test tooling through tightening the gun robot 10, then transfers the parts to the test device 9 through the transfer robot 8, fastens the test tooling and the test device 9 through tightening the gun robot 10, the loading process is completed, then mechanical load with specific frequency is applied to the parts through the test device 9, the test is completed, then unloading is performed, the transfer robot 8 transfers the test tooling to the upper and lower positioning tooling 13 in the unloading process, and the bolt disassembly between the test tooling and the test device 9 is realized through tightening the gun robot 10. Visual defect detection of parts is completed by the visual inspection robot 12, the AGV-UR transport unit 3 transfers qualified parts to the qualified product storage unit 5, and transfers defective parts to the defective product storage unit 6.
The visual inspection robot 12 acquires picture information of the part and sends the picture information to the microprocessor, and the microprocessor sequentially performs median filtering, morphological processing, defect marking, defect feature extraction and defect identification on the picture information to obtain qualitative data and quantitative data of the defect. The microprocessor compares the quantitative data of the part defect with a preset defect threshold, when the quantitative data of the defect is larger than the preset defect threshold, the microprocessor marks the serial number of the part as a defective part to generate a defective part data unit, and when the quantitative data of the defect is smaller than the preset threshold, the microprocessor marks the serial number of the part as a qualified part to generate a qualified part data unit. The information storage module stores the defective part data units generated by the microprocessor and forms a defective part data set, and stores the qualified part data units generated by the microprocessor and forms a qualified part data set. The information storage module is a cloud storage and/or a local storage. The user side comprises a mobile terminal interface and a PC interface of a user, and the user side can refer to a specific qualified part data set and a specific defective part data set according to the authority.
The embodiments described above are described to facilitate an understanding and use of the invention by those skilled in the art. It will be readily apparent to those skilled in the art that various modifications to these embodiments may be made, and the generic principles described herein may be applied to other embodiments without the use of the inventive faculty. Therefore, the present invention is not limited to the above embodiments, and those skilled in the art should make improvements and modifications within the scope of the present invention based on the disclosure of the present invention.

Claims (10)

1. An intelligent detection system for mechanical properties of parts is characterized by comprising a material distribution module and an equipment detection module;
the material distribution module comprises an incoming material storage unit (1), a code spraying unit (2), an AGV-UR transportation unit (3), a to-be-detected material storage unit (4), a qualified product storage unit (5) and a defective product storage unit (6), wherein the AGV-UR transportation unit (3) transfers parts in the incoming material storage unit (1) to the code spraying unit (2) for primary screening, codes the qualified parts and transfers the qualified parts to the to-be-detected material storage unit (4), and transfers the defective parts to the defective product storage unit (6);
the equipment detection module comprises a transfer robot (8), a testing device (9), a screwing gun robot (10), a testing tool parking unit (11), a visual detection robot (12) and an upper and lower positioning tool (13) which are coupled with each other, the transfer robot (8) transfers the testing tool on the testing tool parking unit (11) to the upper and lower positioning tools (13), then the AGV-UR transportation unit (3) transfers the parts in the to-be-tested material storage unit (4) to the testing tool and fastens the parts and the testing tool through the screwing gun robot (10), then transfers the parts to the testing device (9) through the transfer robot (8), fastens the testing tool and the testing device (9) through the screwing gun robot (10), completes the feeding process, and then applies mechanical load with specific frequency to the parts through the testing device (9), and finishing the test, then blanking, finishing the visual defect detection of the parts by a visual detection robot (12), transferring the qualified parts to a qualified product storage unit (5) by the AGV-UR transportation unit (3), and transferring the defective parts to a defective product storage unit (6).
2. The mechanical property intelligent detection system for the parts is characterized in that the AGV-UR transportation unit (3) comprises a vehicle body (31), and a part tray (32) and a mechanical arm (33) which are arranged on the vehicle body (31).
3. The intelligent detection system for the mechanical property of the parts as claimed in claim 1, further comprising a microprocessor, wherein the microprocessor is electrically connected to the material distribution module and the equipment detection module respectively;
the visual inspection robot (12) acquires picture information of a part and sends the picture information to the microprocessor, and the microprocessor sequentially performs median filtering, morphological processing, defect marking, defect feature extraction and defect identification on the picture information to obtain qualitative data and quantitative data of a defect;
the microprocessor compares the quantitative data of the part defect with a preset defect threshold, marks the serial number of the part as a defective part when the quantitative data of the defect is larger than the preset defect threshold, generates a defective part data unit, and marks the serial number of the part as a qualified part when the quantitative data of the defect is smaller than the preset threshold, and generates a qualified part data unit.
4. The intelligent detection system for the mechanical property of the parts as claimed in claim 3, further comprising an information storage module, wherein the information storage module is electrically connected with the material distribution module, the equipment detection module and the microprocessor respectively;
the information storage module is also connected with an external user side through a wireless signal;
the information storage module stores the defective part data unit generated by the microprocessor and forms a defective part data set, and stores the qualified part data unit generated by the microprocessor and forms a qualified part data set.
5. The intelligent detection system for the mechanical properties of the parts according to claim 1, wherein a visual defect detection unit is further arranged on one side of the code spraying unit (2) so as to realize the preliminary screening of the parts.
6. The intelligent detection system for the mechanical properties of the parts as claimed in claim 1, wherein the test device (9) comprises a carrier and an application assembly, the test tool is fixed on the carrier, and the application assembly is connected to the upper surface of the test tool.
7. The intelligent detection system for the mechanical property of the parts according to claim 6, wherein the test tool comprises a substrate, a transmission piece and a pressing plate;
the base plate is provided with a plurality of part mounting grooves, parts are inserted in the mounting grooves, one end of the transfer piece is connected to the lower portion of the pressing plate, the other end of the transfer piece is connected to the upper end of the parts, and the applying component is connected with the pressing plate.
8. The intelligent detection system for the mechanical properties of the parts according to claim 1, wherein the material distribution module further comprises a magnetic particle detection unit (7), the AGV-UR transportation unit (3) places the parts into the magnetic particle detection unit (7) for detection before placing the parts into the qualified product storage unit (5), and places the parts into the qualified product storage unit (5) after detection, and the detection is not qualified.
9. The intelligent detection system for the mechanical properties of the parts according to claim 1, wherein a bolt storage support (14) is further arranged on one side of the transfer robot (8), a plurality of bolts are arranged on the bolt storage support (14), the transfer robot (8) can place the bolts into the test tool one by one, and the gun tightening robot (10) achieves fastening of the parts and the test tool through tightening of the bolts.
10. The mechanical property intelligent detection system for parts is characterized in that the material distribution module further comprises a charging unit (13), and the AGV-UR transportation unit (3) can be electrically connected with the charging unit (13).
CN202011531846.XA 2020-12-22 2020-12-22 Intelligent detection system for mechanical properties of parts Pending CN112816494A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2114025A1 (en) * 1993-01-19 1994-07-20 Rossiyskiy Materialovedscheskiy Centr Method and Apparatus for Nondestructive Testing of the Mechanical Behavior of Objects Under Loading
US20180120079A1 (en) * 2016-06-06 2018-05-03 Rolls-Royce Plc Method of manufacturing and inspecting gas washed components in a gas turbine engine
EP3333136A1 (en) * 2016-12-08 2018-06-13 SCHOTT Solar AG Method of processing a semifinished glass tube
CN110420882A (en) * 2019-08-20 2019-11-08 桂林电子科技大学 Based on intelligence manufacture mode crankshaft magnetic powder inspection transfer line system and method
KR102083890B1 (en) * 2019-07-19 2020-03-03 김성일 Automobile parts inspection system
CN111645111A (en) * 2020-05-26 2020-09-11 河南工业职业技术学院 Intelligent manufacturing system and method based on industrial robot
US20200363342A1 (en) * 2019-05-16 2020-11-19 General Inspection, Llc High-Speed Method and System for Inspecting and Sorting a Stream of Unidentified Mixed Parts

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2114025A1 (en) * 1993-01-19 1994-07-20 Rossiyskiy Materialovedscheskiy Centr Method and Apparatus for Nondestructive Testing of the Mechanical Behavior of Objects Under Loading
US20180120079A1 (en) * 2016-06-06 2018-05-03 Rolls-Royce Plc Method of manufacturing and inspecting gas washed components in a gas turbine engine
EP3333136A1 (en) * 2016-12-08 2018-06-13 SCHOTT Solar AG Method of processing a semifinished glass tube
US20200363342A1 (en) * 2019-05-16 2020-11-19 General Inspection, Llc High-Speed Method and System for Inspecting and Sorting a Stream of Unidentified Mixed Parts
KR102083890B1 (en) * 2019-07-19 2020-03-03 김성일 Automobile parts inspection system
CN110420882A (en) * 2019-08-20 2019-11-08 桂林电子科技大学 Based on intelligence manufacture mode crankshaft magnetic powder inspection transfer line system and method
CN111645111A (en) * 2020-05-26 2020-09-11 河南工业职业技术学院 Intelligent manufacturing system and method based on industrial robot

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