CN113546921A - Robot and method for cleaning, derusting and passivating laser metal parts - Google Patents
Robot and method for cleaning, derusting and passivating laser metal parts Download PDFInfo
- Publication number
- CN113546921A CN113546921A CN202110843927.1A CN202110843927A CN113546921A CN 113546921 A CN113546921 A CN 113546921A CN 202110843927 A CN202110843927 A CN 202110843927A CN 113546921 A CN113546921 A CN 113546921A
- Authority
- CN
- China
- Prior art keywords
- laser
- cleaning
- mechanical arm
- robot
- derusting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004140 cleaning Methods 0.000 title claims abstract description 136
- 238000000034 method Methods 0.000 title claims abstract description 35
- 239000002184 metal Substances 0.000 title claims abstract description 15
- 229910052751 metal Inorganic materials 0.000 title claims abstract description 15
- 238000005507 spraying Methods 0.000 claims description 30
- 229910000831 Steel Inorganic materials 0.000 claims description 26
- 239000010959 steel Substances 0.000 claims description 26
- 230000007797 corrosion Effects 0.000 claims description 12
- 238000005260 corrosion Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 claims description 7
- 239000013307 optical fiber Substances 0.000 claims description 7
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000002161 passivation Methods 0.000 claims description 2
- 239000011248 coating agent Substances 0.000 description 10
- 238000000576 coating method Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 5
- 238000010276 construction Methods 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000000227 grinding Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 239000002253 acid Substances 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005536 corrosion prevention Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000011086 high cleaning Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 230000033001 locomotion Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000010979 ruby Substances 0.000 description 1
- 229910001750 ruby Inorganic materials 0.000 description 1
- 238000005488 sandblasting Methods 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000004506 ultrasonic cleaning Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B7/00—Cleaning by methods not provided for in a single other subclass or a single group in this subclass
- B08B7/0035—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like
- B08B7/0042—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like by laser
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B13/00—Accessories or details of general applicability for machines or apparatus for cleaning
Landscapes
- Physics & Mathematics (AREA)
- Optics & Photonics (AREA)
- Laser Beam Processing (AREA)
Abstract
The invention discloses a robot and a method for cleaning, derusting and passivating a laser metal part. The invention realizes the accurate control of the energy density of the laser beam by accurately controlling the focus of the laser beam. The automatic control system can automatically plan the scanning path of the light beam and accurately control the scanning speed to achieve the optimal state of cleaning quality and cleaning efficiency, and realize automatic cleaning operation.
Description
Technical Field
The invention relates to a robot and a method for cleaning, derusting and passivating a laser metal part, and belongs to the technical field of derusting equipment.
Background
The steel structural member is a steel structural combined member which is formed by cold bending or welding steel such as steel plates, angle steels, channel steels, I-shaped steels, steel pipes and H-shaped steels or is connected through connecting pieces and can bear and transmit load. The steel structural member system has the advantages of light dead weight, factory manufacturing, quick installation, short construction period, good seismic performance and the like, and is widely applied to the aspects of buildings, bridges, power communication iron towers and the like.
The fire prevention and corrosion prevention of the steel structural member are realized by coating, a certain treatment needs to be carried out on the surface of the steel structural member before the steel structural member is coated, and the rust removal treatment before the coating needs to be carried out. When the surface coating is aged and damaged, the coating needs to be repaired in time so as to avoid damaging the steel structural part. The original coating and rust are also required to be cleaned during repair so as to coat a new coating. The quality of cleaning and derusting has a decisive influence on the coating quality, and is one of the key factors influencing the protection effect and the service life of the coating.
The existing cleaning and rust removing modes comprise traditional cleaning modes such as manual polishing, sand blasting, chemical acid washing and the like and newer cleaning and rust removing modes such as laser cleaning, ultrasonic cleaning and the like. The laser cleaning is a cleaning mode without grinding, non-contact, non-thermal effect and working medium. Compared with the traditional cleaning mode, the cleaning method has the advantages of no contact, no damage, no pollution of working media, high cleaning efficiency, good effect and the like on workpieces, is an environment-friendly cleaning process, and is gradually widely applied.
The laser cleaning technology is a technological process of utilizing high-energy laser beams to focus and irradiate the surface of a workpiece, enabling dirt, rusty spots or a coating on the surface to be instantly evaporated or stripped, and effectively removing attachments or a surface coating on the surface of a cleaning object at a high speed, so that the surface of a clean part is cleaned. The energy density of the laser beam and the scanning path and speed of the beam are critical process parameters. To achieve good cleaning performance, these several process parameters must be strictly controlled. Too low energy density of the laser beam does not achieve the cleaning effect, and too high energy density of the laser beam burns the base material of the workpiece. When cleaning, proper laser beam power density is needed, and under the condition that the laser power is determined, the position of the focal point of the laser beam relative to the surface of the workpiece needs to be accurately controlled, so that the energy of the laser beam is stable. Similarly, poor control of the scanning path and the scanning speed can affect the cleaning effect and the cleaning efficiency, and the scanning path needs to be planned and the scanning speed needs to be controlled accurately.
With the stricter requirements of environmental protection regulations and the increasing awareness of environmental protection and safety, the types of chemicals used in industrial cleaning will become less and less. How to find a cleaner and non-damaging cleaning method becomes a problem to be considered. The laser cleaning has the advantages of no grinding, no contact,
The cleaning solution is suitable for cleaning objects made of various materials, and is considered to be the most reliable and effective solution. Meanwhile, the laser cleaning can solve the problem which cannot be solved by adopting the traditional cleaning mode.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the robot and the method for cleaning, derusting and passivating the laser metal part are provided to solve the technical problems in the prior art.
The technical scheme adopted by the invention is as follows: the utility model provides a laser metalwork washs rust cleaning passivation robot, includes laser cleaning head, spraying arm, walking dolly and laser instrument, and the spraying arm is installed on the walking dolly, and the laser cleaning head is installed at the free tip of spraying arm and is connected to the laser instrument, and camera and distancer are still installed to the free tip of spraying arm.
Preferably, the laser cleaning head, the range finder, the camera, the spraying mechanical arm, the walking trolley and the laser are connected to a control system.
Preferably, the spraying mechanical arm adopts six degrees of freedom.
Preferably, the laser is connected to the laser cleaning head by an optical fiber.
Preferably, above-mentioned spraying arm detachably installs on the walking dolly, and laser cleaning head, camera and distancer detachably install on the spraying arm.
Preferably, the cleaning method of the robot for cleaning, derusting and passivating the laser metal part comprises the following steps: shooting a steel structure workpiece according to a camera, returning a shot picture to a control system, identifying the outline and the corrosion area of the steel structure workpiece by the control system according to an image recognition technology, planning a cleaning path of a laser cleaning head according to the outline and the corrosion area, enabling the laser cleaning head to be aligned to the surface of a component to be cleaned of the workpiece through the swinging of a spraying mechanical arm under the monitoring of the camera, measuring the distance between the laser cleaning head and the surface of the component to be cleaned through a distance meter, and adjusting the focus of laser output by the laser cleaning head to the starting point position of the corrosion position on the surface of the component to be cleaned through the front-back swinging of the spraying mechanical arm; and then starting a laser, outputting laser through focusing of a laser cleaning head by an optical fiber, executing cleaning operation by a swinging mechanical arm according to a planned cleaning path, monitoring the cleaning process in real time by a camera and a distance meter, adjusting the focusing distance in real time, ensuring that a focus is always positioned in a rusty area, moving the walking trolley to the next position after one section of cleaning operation is completed, and repeating the above processes until the whole equipment operation task is completed.
The detailed steps of the image recognition analysis method are as follows:
firstly, collecting an image;
secondly, preprocessing an image;
thirdly, graying and binary processing the color image;
fourthly, performing opening operation and closing operation processing on the result image after the binarization of the part image; the starting operation is to carry out corrosion and expansion treatment on the original image, and basically maintains the size of the original target object while separating the adhesion target object; the closed operation is to expand and then corrode the original image, and basically keep the size of the original object while combining the fractured objects, so as to finally obtain the outline of the part, namely the outline coordinates of the part.
The cleaning path planning method comprises the following steps: and resolving the contour coordinates of the parts, obtaining rotation coordinates according to the conversion relation of the contour coordinates of the parts, and calculating an operation instruction of the mechanical arm, wherein the instruction corresponds to a path from the starting point of the scanning path to the end point of the mechanical arm needing to move.
The invention has the beneficial effects that: compared with the prior art, the invention realizes the accurate control of the energy density of the laser beam by accurately controlling the focus of the laser beam. The automatic control system can automatically plan the scanning path of the light beam and accurately control the scanning speed to achieve the optimal state of cleaning quality and cleaning efficiency, and realize automatic cleaning operation.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings and specific embodiments.
A complete set of laser cleaning system generally includes a laser system, a beam adjustment and transmission system, a mobile platform or laser scanning system, a real-time monitoring system, a semi/full automatic control and operation system, and other auxiliary systems. The laser system generates laser and obtains laser beams for cleaning through focusing and shaping of the beam adjusting and transmitting system; the moving platform or the laser scanning system completes the cleaning operation by moving the workpiece or the laser beam to form a scanning path, and can be divided into an active type and a passive type according to the type of a moving part. The active mode means that an object to be cleaned is placed on a moving platform, a laser keeps the position still, and all positions of a sample are cleaned through the moving platform, so that the active mode is mainly used for cleaning parts which are small and convenient to disassemble; in a passive mode, the object to be cleaned is not moved, and the moving platform drives the laser or the laser output end to move for cleaning; the real-time monitoring system is used for monitoring the cleaning process in real time; and the automatic control operating system controls the whole system to run.
The laser system and the beam adjusting and transmitting system form the optical core part of the cleaning system, and determine the performance and the application range of the laser cleaning system. The laser mainly comprises a CO2 laser, a Ruby laser, an Nd-YAG laser, an excimer laser, a fiber laser and the like, and different lasers are usually selected according to cleaning objects and cleaning modes. The beam adjusting and transmitting system generally comprises some special optical elements, and aims to adjust the spot shape, size and energy distribution of laser output by the laser according to actual requirements. For the same type of cleaning mode and mechanism, when the power/energy of the laser is constant, the output laser can have different energy densities simply by adjusting the area of a light spot according to the difficulty of dirt or particles to be cleaned.
According to the operation mode of a mobile platform or laser scanning, the existing laser cleaning equipment can be divided into a manual mode and an automatic mode. The manual mode is to hold the light guide device output end through operating personnel and will be with laser output to appointed washing position, and it is simpler, convenient to use, but degree of automation is low, is applicable to simpler operation environment, single small batch cleaning operation. The cleaning quality is greatly influenced by the operating level of personnel, the labor intensity is high, the operating environment is severe, and certain potential safety hazards exist. The automatic mode is to use a mechanical arm or a mobile platform to realize computer control, program cleaning paths and process parameters in advance, perform two-dimensional or three-dimensional moving scanning according to the complexity of the structure of an object to be cleaned, and even rotate or perform other complex motions in some cases, thereby realizing high moving and positioning precision. The cleaning process is not manually operated, the cleaning quality is good, and the consistency is high.
The current full-automatic cleaning mode is suitable for cleaning operation of fixed types of parts in a production line or other fixed stations. The steel structural part is complicated and various in structural style, large in size and changeable in operating environment, and can only be manually cleaned by laser cleaning equipment in a manual mode at present. The labor intensity of workers is high, and the cleaning quality is difficult to ensure.
Based on the reason, the patent provides a full-automatic laser cleaning robot, through to the accurate control of laser beam focus, realizes the accurate control to beam energy density. The automatic control system can automatically plan the scanning path of the light beam and accurately control the scanning speed to achieve the optimal state of cleaning quality and cleaning efficiency, and realize automatic cleaning operation.
Example 1: as shown in figure 1, the robot for cleaning, derusting and passivating the laser metal part comprises a laser cleaning head 1, a spraying mechanical arm 4, a walking trolley 5 and a laser 7, wherein the spraying mechanical arm 4 is installed on the walking trolley 5, the laser cleaning head 1 is installed at the free end part of the spraying mechanical arm 4 and is connected to the laser 7, and a camera 3 distance meter 2 is further installed at the free end part of the spraying mechanical arm 4.
Preferably, the laser cleaning head 1, the distance measuring instrument 2, the camera 3, the spraying mechanical arm 4, the walking trolley 5 and the laser 7 are connected to a control system 6.
Preferably, the spraying robot 4 has six degrees of freedom.
Preferably, the laser 7 is connected to the laser cleaning head 1 through an optical fiber.
Preferably, 4 detachably of above-mentioned spraying arm are installed on walking dolly 5, and laser cleaning head 1, camera 3 and distancer 2 detachably install on spraying arm 4, and detachable construction installs, can select different robot chassis according to the shape characteristics of being washd the steel construction work piece, and the arm of different shapes, degree of freedom is in order to adapt to different operation demands.
With the development of artificial intelligence technology, image recognition technology is becoming mature and widely used in many industries. Image recognition, which refers to a technique for processing, analyzing and understanding images by using a computer to recognize various different patterns of targets and objects, is a practical application of deep learning algorithms. The image identification process comprises four steps: image acquisition → image preprocessing → feature extraction → image recognition. The first step of image recognition is to recognize the edge of the image to determine the outline of the object, and then recognize the object by matching with other characteristics of the image.
By using the image recognition technology and matching with distance measuring equipment, the three-dimensional modeling of the object can be realized. In the patent, the camera installed on the equipment is used for shooting the image of the cleaned steel structural part in real time and sending the image to the control computer for recognition processing, and the outline shape and the size of the cleaned part can be determined by matching with the distance information measured by the distance meter. And then automatically planning a scanning path of laser cleaning according to preset information such as the laser power, the laser power density, the scanning speed, the cleaning quality requirement and the like. And automatically finishing the cleaning operation according to the planned scanning path. Meanwhile, the position of the laser focus is determined by continuous distance measurement of the distance measuring instrument in the cleaning process, the execution mechanism is controlled to adjust the position of the laser focus in real time, the position tracking of the laser focus on the undulated surface of the cleaned surface is realized, the power density of the laser beam is kept stable, and the stability of the cleaning quality is ensured.
Because steel structural component size is great, this patent laser scanning adopts passive mode: the workpiece is fixed, and the laser beam moves. In order to realize automatic cleaning operation, the mobile executing mechanism adopts an automatically controlled multi-degree-of-freedom mechanical arm and is matched with the structural mode of a chassis of the mobile trolley. When in implementation, only the laser output component, the laser and the control system can be arranged on the chassis of the trolley in order to reduce the weight of the scanning component. The laser is connected with the laser output component through the optical fiber to output laser. The mechanical arm is simultaneously provided with a camera and a distance measuring instrument component. And the control system is used as a control center of the whole machine, and all the components such as the laser, the mechanical arm, the trolley chassis, the camera, the distance meter and the like are connected with the control system, are controlled by the control system and feed back respective working states. The control system also receives the data of the camera and the range finder to complete intelligent operation processing. And receiving control instructions of operators and feeding back working state information to related personnel.
Example 2: a cleaning method of a robot for cleaning, derusting and passivating a laser metal part comprises the following steps: shooting a steel structure workpiece according to a camera, returning a shot picture to a control system, identifying the outline and the corrosion area of the steel structure workpiece by the control system according to an image recognition technology, planning a cleaning path of a laser cleaning head according to the outline and the corrosion area, enabling the laser cleaning head to be aligned to the surface of a component to be cleaned of the workpiece through the swinging of a spraying mechanical arm under the monitoring of the camera, measuring the distance between the laser cleaning head and the surface of the component to be cleaned through a distance meter, and adjusting the focus of laser output by the laser cleaning head to the starting point position of the corrosion position on the surface of the component to be cleaned through the front-back swinging of the spraying mechanical arm; and then starting a laser, outputting laser through focusing of a laser cleaning head by an optical fiber, executing cleaning operation by a swinging mechanical arm according to a planned cleaning path, monitoring the cleaning process in real time by a camera and a distance meter, adjusting the focusing distance in real time, ensuring that a focus is always positioned in a rusty area, moving the walking trolley to the next position after one section of cleaning operation is completed, and repeating the above processes until the whole equipment operation task is completed.
The detailed steps of the image recognition analysis method are as follows:
firstly, collecting an image;
secondly, preprocessing an image;
thirdly, graying and binary processing the color image;
fourthly, performing opening operation and closing operation processing on the result image after the binarization of the part image; the starting operation is to carry out corrosion and expansion treatment on the original image, and basically maintains the size of the original target object while separating the adhesion target object; the closed operation is to expand and then corrode the original image, and basically keep the size of the original object while combining the fractured objects, so as to finally obtain the outline of the part, namely the outline coordinates of the part.
The cleaning path planning method comprises the following steps: and resolving the contour coordinates of the parts, obtaining rotation coordinates according to the conversion relation of the contour coordinates of the parts, and calculating an operation instruction of the mechanical arm, wherein the instruction corresponds to a path from the starting point of the scanning path to the end point of the mechanical arm needing to move.
The invention has the following advantages:
(1) the structural outline of the steel structure workpiece is automatically obtained through imaging by the camera and recognition of image processing software, and the outline boundary and the scanning path of laser cleaning scanning are automatically determined. Completing the automatic cleaning operation of parts with complex and changeable shapes;
(2) the distance measuring instrument measures the distance and is used for automatically finishing accurate laser focusing by assisting the swinging of the mechanical arm, the focus position is dynamically tracked and adjusted in the operation process, the accurate focus position is maintained in the whole cleaning process, and the cleaning quality is ensured;
(3) different robot chassis and mechanical arms with different shapes and degrees of freedom can be selected according to the shape characteristics of the steel structure workpiece to be cleaned so as to adapt to different operation requirements;
(4) the cleaning process can be completed automatically, and the labor and time are saved.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and therefore, the scope of the present invention should be determined by the scope of the claims.
Claims (8)
1. The utility model provides a laser metalwork washs rust cleaning passivation robot which characterized in that: the laser cleaning machine comprises a laser cleaning head (1), a spraying mechanical arm (4), a walking trolley (5) and a laser (7), wherein the spraying mechanical arm (4) is installed on the walking trolley (5), the laser cleaning head (1) is installed at the free end part of the spraying mechanical arm (4) and is connected to the laser (7), and a camera (3) and a range finder (2) are further installed at the free end part of the spraying mechanical arm (4).
2. The robot for cleaning, derusting and passivating the laser metal part according to claim 1, wherein: the laser cleaning head (1), the range finder (2), the camera (3), the spraying mechanical arm (4), the walking trolley (5) and the laser (7) are connected to the control system (6).
3. The robot for cleaning, derusting and passivating the laser metal part according to claim 1, wherein: the spraying mechanical arm (4) adopts six degrees of freedom.
4. The robot for cleaning, derusting and passivating the laser metal part according to claim 1, wherein: the laser (7) is connected to the laser cleaning head (1) through an optical fiber.
5. The robot for cleaning, derusting and passivating the laser metal part according to claim 1, wherein: the spraying mechanical arm (4) is detachably mounted on the walking trolley (5), and the laser cleaning head (1), the camera (3) and the range finder (2) are detachably mounted on the spraying mechanical arm (4).
6. The cleaning method of the robot for cleaning, derusting and passivating the laser metal part according to any one of claims 1 to 5, characterized by comprising the following steps: the method comprises the following steps: shooting a steel structure workpiece according to a camera, returning a shot picture to a control system, identifying the outline and the corrosion area of the steel structure workpiece by the control system according to an image recognition technology, planning a cleaning path of a laser cleaning head according to the outline and the corrosion area, enabling the laser cleaning head to be aligned to the surface of a component to be cleaned of the workpiece through the swinging of a spraying mechanical arm under the monitoring of the camera, measuring the distance between the laser cleaning head and the surface of the component to be cleaned through a distance meter, and adjusting the focus of laser output by the laser cleaning head to the starting point position of the corrosion position on the surface of the component to be cleaned through the front-back swinging of the spraying mechanical arm; and then starting a laser, outputting laser through focusing of a laser cleaning head by an optical fiber, executing cleaning operation by a swinging mechanical arm according to a planned cleaning path, monitoring the cleaning process in real time by a camera and a distance meter, adjusting the focusing distance in real time, ensuring that a focus is always positioned in a rusty area, moving the walking trolley to the next position after one section of cleaning operation is completed, and repeating the above processes until the whole equipment operation task is completed.
7. The cleaning method of the robot for cleaning, derusting and passivating the laser metal part according to claim 6, characterized by comprising the following steps: the detailed steps of the image recognition analysis method are as follows:
firstly, collecting an image;
secondly, preprocessing an image;
thirdly, graying and binary processing the color image;
fourthly, performing opening operation and closing operation processing on the result image after the binarization of the part image; the starting operation is to carry out corrosion and expansion treatment on the original image, and basically maintains the size of the original target object while separating the adhesion target object; the closed operation is to expand and then corrode the original image, and basically keep the size of the original object while combining the fractured objects, so as to finally obtain the outline of the part, namely the outline coordinates of the part.
8. The cleaning method of the robot for cleaning, derusting and passivating the laser metal part according to claim 7, characterized by comprising the following steps: the cleaning path planning method comprises the following steps: and resolving the contour coordinates of the parts, obtaining rotation coordinates according to the conversion relation of the contour coordinates of the parts, and calculating an operation instruction of the mechanical arm, wherein the instruction corresponds to a path from the starting point of the scanning path to the end point of the mechanical arm needing to move.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110843927.1A CN113546921A (en) | 2021-07-26 | 2021-07-26 | Robot and method for cleaning, derusting and passivating laser metal parts |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110843927.1A CN113546921A (en) | 2021-07-26 | 2021-07-26 | Robot and method for cleaning, derusting and passivating laser metal parts |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113546921A true CN113546921A (en) | 2021-10-26 |
Family
ID=78132754
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110843927.1A Pending CN113546921A (en) | 2021-07-26 | 2021-07-26 | Robot and method for cleaning, derusting and passivating laser metal parts |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113546921A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114618838A (en) * | 2022-04-06 | 2022-06-14 | 南昌航空大学 | Intelligent laser cleaning device based on machine vision and operation method thereof |
| CN114654093A (en) * | 2022-03-07 | 2022-06-24 | 刘国林 | Dynamic parameter big data visual analysis system and method |
| CN115041469A (en) * | 2022-06-01 | 2022-09-13 | 长春理工大学 | Tunable multi-pulse laser cleaning system and working method thereof |
| CN115302411A (en) * | 2022-05-05 | 2022-11-08 | 长沙矿冶研究院有限责任公司 | Surface cleaning system based on image recognition and control method thereof |
| CN115318762A (en) * | 2022-09-14 | 2022-11-11 | 江苏大学 | Laser cleaning method and cleaning device for complex structure surface |
| CN115555352A (en) * | 2022-09-23 | 2023-01-03 | 中国民用航空飞行学院 | A Robot-Laser Collaborative Automated Aircraft Surface Cleaning System |
| CN115582777A (en) * | 2022-09-30 | 2023-01-10 | 山东大学 | A wet shot blasting cleaning device and method for remanufacturing paint layers of parts |
| CN115599107A (en) * | 2022-12-08 | 2023-01-13 | 唐山雄炜机器人有限公司（Cn） | Automatic rust cleaning robot control system of laser based on artificial intelligence |
| CN115889347A (en) * | 2022-12-30 | 2023-04-04 | 中建钢构工程有限公司 | Wide breadth surface cleaning equipment for large steel member |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080218735A1 (en) * | 2004-01-09 | 2008-09-11 | Hamamatsu Photonics K.K. | Laser Processing Method And Device |
| US20110147354A1 (en) * | 2009-12-23 | 2011-06-23 | Edison Welding Institute, Inc. | Polygonal laser scanner for coating removal |
| CN205341405U (en) * | 2016-01-05 | 2016-06-29 | 湖北三江航天江北机械工程有限公司 | Fully automatic laser cleaning system based on machine vision |
| CN106824923A (en) * | 2017-03-16 | 2017-06-13 | 融之航信息科技（苏州）有限公司 | A kind of composite material surface coated laser cleaning device and its cleaning method |
| US20170276703A1 (en) * | 2016-03-22 | 2017-09-28 | Giga Solution Technology Co., Ltd. | Structure of laser cleaning machine |
| CN107808161A (en) * | 2017-10-26 | 2018-03-16 | 江苏科技大学 | A kind of Underwater targets recognition based on light vision |
| CN107931865A (en) * | 2016-10-12 | 2018-04-20 | 中国科学院沈阳自动化研究所 | Large Enclosure inner wall dirt automatic online laser cleaner and method |
| CN208033202U (en) * | 2018-01-25 | 2018-11-02 | 武汉市凯瑞迪激光技术有限公司 | A kind of automatic laser cleaning device |
| CN108898593A (en) * | 2018-06-25 | 2018-11-27 | 重庆知遨科技有限公司 | A kind of detection method based on the classification of abdominal CT Medical image fusion |
| CN111871968A (en) * | 2020-06-30 | 2020-11-03 | 华中科技大学 | A device and method for laser rust removal and anticorrosion on the surface of long-distance metal parts |
-
2021
- 2021-07-26 CN CN202110843927.1A patent/CN113546921A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080218735A1 (en) * | 2004-01-09 | 2008-09-11 | Hamamatsu Photonics K.K. | Laser Processing Method And Device |
| US20110147354A1 (en) * | 2009-12-23 | 2011-06-23 | Edison Welding Institute, Inc. | Polygonal laser scanner for coating removal |
| CN205341405U (en) * | 2016-01-05 | 2016-06-29 | 湖北三江航天江北机械工程有限公司 | Fully automatic laser cleaning system based on machine vision |
| US20170276703A1 (en) * | 2016-03-22 | 2017-09-28 | Giga Solution Technology Co., Ltd. | Structure of laser cleaning machine |
| CN107931865A (en) * | 2016-10-12 | 2018-04-20 | 中国科学院沈阳自动化研究所 | Large Enclosure inner wall dirt automatic online laser cleaner and method |
| CN106824923A (en) * | 2017-03-16 | 2017-06-13 | 融之航信息科技（苏州）有限公司 | A kind of composite material surface coated laser cleaning device and its cleaning method |
| CN107808161A (en) * | 2017-10-26 | 2018-03-16 | 江苏科技大学 | A kind of Underwater targets recognition based on light vision |
| CN208033202U (en) * | 2018-01-25 | 2018-11-02 | 武汉市凯瑞迪激光技术有限公司 | A kind of automatic laser cleaning device |
| CN108898593A (en) * | 2018-06-25 | 2018-11-27 | 重庆知遨科技有限公司 | A kind of detection method based on the classification of abdominal CT Medical image fusion |
| CN111871968A (en) * | 2020-06-30 | 2020-11-03 | 华中科技大学 | A device and method for laser rust removal and anticorrosion on the surface of long-distance metal parts |
Non-Patent Citations (1)
| Title |
|---|
| 许琳娟等: "《非均匀沙床面颗粒运动试验研究》", 31 October 2018, 黄河水利出版社 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114654093A (en) * | 2022-03-07 | 2022-06-24 | 刘国林 | Dynamic parameter big data visual analysis system and method |
| CN114618838A (en) * | 2022-04-06 | 2022-06-14 | 南昌航空大学 | Intelligent laser cleaning device based on machine vision and operation method thereof |
| CN115302411A (en) * | 2022-05-05 | 2022-11-08 | 长沙矿冶研究院有限责任公司 | Surface cleaning system based on image recognition and control method thereof |
| CN115302411B (en) * | 2022-05-05 | 2024-02-23 | 长沙矿冶研究院有限责任公司 | Surface cleaning system based on image recognition and control method thereof |
| CN115041469A (en) * | 2022-06-01 | 2022-09-13 | 长春理工大学 | Tunable multi-pulse laser cleaning system and working method thereof |
| CN115041469B (en) * | 2022-06-01 | 2024-01-23 | 长春理工大学 | Tunable multi-pulse laser cleaning system and working method thereof |
| CN115318762A (en) * | 2022-09-14 | 2022-11-11 | 江苏大学 | Laser cleaning method and cleaning device for complex structure surface |
| CN115555352A (en) * | 2022-09-23 | 2023-01-03 | 中国民用航空飞行学院 | A Robot-Laser Collaborative Automated Aircraft Surface Cleaning System |
| CN115582777A (en) * | 2022-09-30 | 2023-01-10 | 山东大学 | A wet shot blasting cleaning device and method for remanufacturing paint layers of parts |
| CN115599107A (en) * | 2022-12-08 | 2023-01-13 | 唐山雄炜机器人有限公司（Cn） | Automatic rust cleaning robot control system of laser based on artificial intelligence |
| CN115889347A (en) * | 2022-12-30 | 2023-04-04 | 中建钢构工程有限公司 | Wide breadth surface cleaning equipment for large steel member |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113546921A (en) | Robot and method for cleaning, derusting and passivating laser metal parts | |
| CN112060103B (en) | Movable ultrafast laser processing robot equipment and processing method | |
| CN101927391A (en) | Method for automatic overlay welding repair of damaged metal parts | |
| CN107931251A (en) | A kind of Large Enclosure inner wall dirt automatic online laser cleaner and its method | |
| CN205650553U (en) | General equipment laser cleaning machine | |
| CN105385839A (en) | System and method for automatic control over laser shock peening | |
| CN109518180B (en) | Self-adaptive laser deposition repair device and method | |
| CN108274187A (en) | A kind of complex curved surface parts defect repair system and restorative procedure | |
| CN112007789A (en) | Prefabricated welding seam coating robot | |
| CN107931844A (en) | A kind of impeller chip off-falling destressing laser-impact forges reproducing method and device | |
| CN113927129A (en) | Robot groove cutting system for steel structure and construction method thereof | |
| CN115555352A (en) | A Robot-Laser Collaborative Automated Aircraft Surface Cleaning System | |
| CN117443853A (en) | A five-axis laser surface cleaning method and system based on visual recognition and positioning | |
| CN117305835A (en) | Automatic repair method for PDC drill bit defect | |
| CN115318762B (en) | Laser cleaning method and cleaning device for complex structure surface | |
| CN113578871A (en) | Laser rust removal and surface passivation modification device and method | |
| Wu et al. | Adaptive positioning repair method for aero-engine blades by using speckle vision measurement | |
| CN111871968B (en) | A device and method for laser rust removal and anticorrosion on the surface of long-distance metal parts | |
| JP7213328B1 (en) | Quality judgment device, quality judgment method, surface treatment device and surface treatment method | |
| CN109055930B (en) | Rapid repair method for workpiece surface damage | |
| Ma et al. | On path generation method for laser cleaning robot based on line structured light | |
| CN213499232U (en) | Integrated equipment integrating laser cleaning, spraying corrosion prevention and detection | |
| CN115717868A (en) | Real-time online three-dimensional automatic scanning measurement system | |
| Brown et al. | Automated full matrix capture for industrial processes | |
| CN112975760A (en) | Large-scale component surface impact shot blasting system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211026 |