CN114227145B - Intelligent self-adaptive machining method for sealing ring - Google Patents
Intelligent self-adaptive machining method for sealing ring Download PDFInfo
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- CN114227145B CN114227145B CN202010943369.1A CN202010943369A CN114227145B CN 114227145 B CN114227145 B CN 114227145B CN 202010943369 A CN202010943369 A CN 202010943369A CN 114227145 B CN114227145 B CN 114227145B
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- 238000007789 sealing Methods 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003754 machining Methods 0.000 title claims description 31
- 238000012546 transfer Methods 0.000 claims abstract description 57
- 238000012545 processing Methods 0.000 claims abstract description 47
- 230000008569 process Effects 0.000 claims abstract description 32
- 239000000463 material Substances 0.000 claims abstract description 31
- 230000007547 defect Effects 0.000 claims abstract description 29
- 238000010146 3D printing Methods 0.000 claims abstract description 28
- 230000007306 turnover Effects 0.000 claims abstract description 27
- 238000003860 storage Methods 0.000 claims abstract description 15
- 238000003672 processing method Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 238000005457 optimization Methods 0.000 claims abstract description 5
- 238000005520 cutting process Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 12
- 238000007639 printing Methods 0.000 claims description 12
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 230000008439 repair process Effects 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
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- 238000003466 welding Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 abstract 1
- 230000003993 interaction Effects 0.000 description 8
- 239000000126 substance Substances 0.000 description 6
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 4
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- 238000013461 design Methods 0.000 description 2
- 229910052759 nickel Inorganic materials 0.000 description 2
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23P—METAL-WORKING NOT OTHERWISE PROVIDED FOR; COMBINED OPERATIONS; UNIVERSAL MACHINE TOOLS
- B23P15/00—Making specific metal objects by operations not covered by a single other subclass or a group in this subclass
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q7/00—Arrangements for handling work specially combined with or arranged in, or specially adapted for use in connection with, machine tools, e.g. for conveying, loading, positioning, discharging, sorting
Abstract
The invention provides an intelligent self-adaptive processing method of a sealing ring, wherein the sealing ring adopts three-dimensional CT measuring equipment to scan the inside and the outside, information is automatically transmitted to an expert system to be analyzed and processed in advance, an intelligent processing center utilizes a sensor and a vision system in the clamping, processing and detecting processes to realize the real-time exchange processing of information of a self-control system and the expert system, the abnormal processing of the processing process depends on the expert system automatically, a three-dimensional warehouse ensures the storage of the sealing ring, a transfer robot is arranged in a turnover way, a marking system can record the traceability mark of the sealing ring, the defects of a blank of the sealing ring and the processing process are repaired by a 3D printing system, the whole processing process depends on the expert system and the existing experience information and the real-time processing information to perform artificial intelligent self-learning self-optimization, the whole system is provided with input and output and fault emergency to ensure the self-adaption within a certain range, the intelligent integration of the material and the information of the sealing ring ensures the whole processing quality and the processing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of connector manufacturing of underwater production systems, in particular to an intelligent self-adaptive processing method of a sealing ring.
Background
The underwater connector is a matched part suitable for ocean deep water oil-gas field development engineering, the sealing rings are used between the upper hub seat and the lower hub seat, and the connector is matched with a plurality of sealing rings according to requirements, so that the connector is suitable for connecting different underwater manifolds, and a series of products with similar structures and different sizes are formed according to the different sizes of the connector. Because of special use requirements of the underwater product in the deep sea, in order to ensure the reliable operation of the whole structure of the underwater connector, the sealing ring is designed into a multi-curved-surface combined structure by adopting a corrosion-resistant nickel-based alloy material with certain strength, and the processing and manufacturing of the sealing ring of the underwater connector are all difficult, and the conventional manufacturing method is single-piece multi-working.
The conventional manufacturing method has the following problems: the sealing ring material is nickel base alloy, and the material has the characteristics of high cutting temperature, serious work hardening phenomenon, easy formation of built-up chip tumor, high plastic deformation resistance, difficult guarantee of surface quality and precision and the like in the cutting process. The cutter material is required to have high strength and toughness, high heat conducting performance, high thermal shock resistance, high red hardness, high wear resistance, high adhesion resistance, high diffusion resistance and high oxidation abrasion resistance. Generally, a very low cutting speed is adopted, and the special material has low overall processing efficiency and increases more cost; the special structure of sealing ring is to guarantee that connector seal structure is reliable, designs the oilhole on the sealing ring, is convenient for sealing ring quick replacement. In addition, a secondary sealing ring groove, a deflection sealing surface and the like are designed, and the structure causes difficult manufacture and detection and increases middle detection and maintenance cost.
Disclosure of Invention
In order to avoid the problems, the invention aims to provide an intelligent self-adaptive processing method of a sealing ring, which is a processing method for reducing manual intervention according to the latest processing technology by using a plurality of blanks in batches, realizing intelligent processing, adapting to series of workpieces with different sizes and reducing the overall manufacturing cost, so that the sealing ring meets the design and use requirements.
In order to achieve the above purpose, the invention adopts the following technical scheme: the intelligent self-adaptive machining method for the sealing ring comprises a stereoscopic warehouse system, a transfer robot, a three-dimensional CT measuring system, an intelligent machining center, a 3D printing system, a marking system and an expert system, wherein the transfer robot automatically takes out a sealing ring blank in the stereoscopic warehouse system, the three-dimensional CT measuring system carries out scanning modeling on the blank, and formed data is automatically compared with a sealing ring part three-dimensional model input in the expert system for analysis; automatically calling the clamping scheme, the cutter and the tooling information of the expert system process for the seal ring blank which is qualified to be detected, and transmitting a numerical control machining program for automatically generating each part to an intelligent machining center; judging whether the sealing ring blank which is unqualified is repairable or not according to the defect position, transferring the repairable surface defect to a 3D printing system to directly carry out surface overlaying repair, forming a specific clamping scheme by means of allowance after the repairable internal defect is repairable, controlling the intelligent machining center to automatically transfer the defect position to the 3D printing system to carry out defect overlaying repair by the expert system, and transferring the non-repairable blank to a marking system to carry out retroactive marking by the expert system if the non-repairable blank is controlled by the expert system, and finally transferring the non-repairable blank to a defective product area of a stereoscopic warehouse system; the intelligent machining center is combined with the expert system to machine the blank, each process data is recorded in real time in the cutting process and fed back to the expert system, and the expert system automatically adjusts the cutting parameters of the machine tool through an intelligent optimization algorithm, each sensor and a vision system to realize high-efficiency machining; after the processing is finished and the sealing ring is qualified through online detection, the expert system controls the transfer robot to transfer to a marking system to make finished product marks; if the machining process is abnormal, the expert system judges that repairable blanks are transferred to the 3D printing system to carry out defect overlaying repair, and optimizes subsequent machining procedures to reprocess, if unrepairable blanks are transferred to the marking system to carry out traceable marking by the expert system control transfer robot, and finally transferred to a defective product area of the stereoscopic warehouse system. The intelligent self-adaptive processing method for the sealing ring comprises the following component systems:
1) Stereoscopic warehouse system: and the sealing ring material storage is controlled by an expert system. The stereoscopic warehouse is divided into different functional areas according to material characteristics, blanks, finished products, to-be-processed and unqualified products are stored respectively, and the stereoscopic warehouse is realized with external materials through a transfer robot.
2) Transfer robot: sealing ring material turnover, self control system and expert system combine the intelligent turnover that realizes the material. 3) Three-dimensional CT measurement system: and the sealing ring is detected, so that the machined blank is ensured to meet the requirements. And the system is connected with an expert system and a transfer robot to realize substance and information interaction.
4) Intelligent machining center: the sealing ring is processed in the intelligent processing center, the turnover with external materials is realized by a transfer robot, and the station robot realizes the adjustment of workpiece clamping in different working procedures of the processing center. The self control system and the expert system are combined to realize information input, output and control. The intelligent tool, the cutter and the measuring tool library are combined with a vision system and various sensors to provide a self-adaptive intelligent processing foundation for normal processing, detection and abnormal processing. .
5) 3D printing system: and repairing defects of the seal ring blank and products in the processing process, and connecting the seal ring blank with an expert system and a transfer robot to realize substance and information interaction.
6) Marking system: and the seal ring blank and the product mark in the processing process are connected with an expert system and a transfer robot, so that the interaction of substances and information is realized.
7) Expert system: the sealing ring realizes the intelligent and self-adaptive processing software foundation, is connected with each hardware system, and realizes information interaction, storage, processing and control instruction output.
In the system 1), the stereoscopic warehouse system is a storage area for sealing ring blanks, products and unqualified products, can be used as a temporary storage area for the products to be processed, adopts a multi-layer structure for welding sectional materials, is provided with a telescopic manipulator and a storage position sensor, is matched with a receiving and sending area self-counting and control system to realize the circulation of internal materials and information, and is used for realizing the information sharing of real-time dynamic stock state and expert system, the expert system automatically judges the production needs of all places and realizes the intelligent circulation of sealing ring products with other systems in the receiving and sending area by indicating a standby transfer robot.
In the system 2), the transfer robot is a seal ring and has a feeding and discharging device in the process of different systems, a position sensor and a distance sensor are configured, the material loading and unloading and the automatic walking of the transfer robot are controlled, and the seal ring product is interconnected with an expert system through wireless signals, so that the seal ring product can be intelligently transferred in the process of matching the operation energy of different transfer robots and the optimal route.
In the system 3), a product turnover and position conversion device is arranged in the three-dimensional CT measurement system, a sealing ring transported by the transporting robot is automatically fed by a feeding end, the three-dimensional CT measurement system completes surface and internal scanning according to self-set program conversion positions, a reverse three-dimensional modeling model corresponding to sealing ring batches and internal nondestructive detection result information are generated and transmitted to an expert system, and the expert system intelligently indicates turnover directions of the waiting transporting robot.
In the system 4), the intelligent machining center is a core for realizing intelligent self-adaptive machining, the intelligent machining center is provided with internal and external materials and information exchange respectively, an expert system dispatches a transfer robot to transfer a sealing ring blank to be automatically fed by a station robot from a feeding end, the intelligent machining center calls a tool to complete workpiece clamping according to a control program of the intelligent machining center and the data information of a three-dimensional CT measuring system processed by the expert system, a numerical control program of the intelligent machining center automatically calls a preset normal tool setting accurate tool, a machining program optimized by the expert system is used for machining, various temperature, vibration and noise sensors are utilized in the machining process, a visual system and the expert system are combined for real-time tool, tool and workpiece machining process tracking and monitoring, a special measuring tool is automatically called for machining process and result detection according to the control information of the expert system, an abnormality in the cutting process is automatically processed by the expert system according to the information of a knowledge experience base, an alarm information is generated by the abnormality of the ultra-system, and the control system pauses the external input processing, and the expert system intelligently instructs the transfer robot to go-round.
In the system 5), the 3D printing system is provided with a printing material library and a 3D printing process parameter library, a sealing ring transported by the transporting robot is fed by a feeding end, a 3D printing system control program is combined with expert system information, the matched 3D printing process parameters are called to finish defect repair, and the expert system intelligently indicates the turnover of the standby transporting robot.
In the system 6), the marking system is internally provided with a printing device, a sealing ring transported by the transporting robot is automatically transferred to a clamping tool by a feeding end, a marking system self control program is combined with expert system information, matched printing parameters are called to finish the traceable marking printing of qualified, pending and unqualified products at different positions, and the expert system intelligently indicates the turnover direction of the standby transporting robot.
In the system 7), the expert system is a software control foundation for realizing intelligent and self-adaptive processing, receives the input and output of external information of the system, completes information transmission by communicating with all subsystems in the system in real time in a wired and wireless mode, stores, processes and optimizes the information by utilizing an artificial intelligence and expert database, and automatically adjusts the operation of the whole system according to the external input information to complete intelligent self-adaptive processing of the sealing ring.
The beneficial effects of the invention are as follows: the three-dimensional CT measuring system is adopted for internal and external scanning of the sealing ring blank, related information is automatically transmitted to the expert system for advanced analysis and treatment, the processing efficiency and the processing accuracy of the sealing ring are improved, and the subsequent processing waste caused by blank defects is overcome; the sealing ring is processed by adopting an intelligent processing center, and the self control system exchanges information with an expert system in real time in the processes of clamping, processing and detecting, so that the abnormal automatic processing in the cutting processing process is realized, the working procedure is concentrated, the preparation time is shortened, the consistent quality of the sealing ring is ensured, and the overall processing efficiency is improved; the three-dimensional warehouse is arranged, so that the storage of the sealing rings is ensured, the manufacturing cost is reduced, the transfer robot and the station robot are arranged on the turnover of the sealing rings, and the turnover efficiency is improved; the invention is provided with the 3D printing system, so that defects in blanks and processing processes are repaired, the processing yield of the sealing ring is improved, the whole processing process relies on an expert system, the existing experience information and real-time processing information are relied on, manual intelligent self-learning and self-optimization are performed, the overall cost of the sealing ring is reduced, and the processing efficiency is improved.
Drawings
The invention will be further described with reference to the drawings and examples.
FIG. 1 is a schematic diagram of a system of components of the intelligent adaptive machining method of a seal ring.
FIG. 2 is a flow chart of the intelligent adaptive machining method of the sealing ring.
In fig. 1-2, 1 a stereoscopic warehouse system, 2 a transfer robot, 3 a three-dimensional CT measuring system, 4 an intelligent machining center, 5.3D printing system, 6 a marking system and 7 an expert system
Description of specific implementation process:
the invention is further illustrated below with reference to examples.
The intelligent self-adaptive processing method of the sealing ring comprises a stereoscopic warehouse system 1 shown in fig. 1, a transfer robot 2, a three-dimensional CT measuring system 3, an intelligent processing center 4, a 3D printing system 5, a marking system 6 and an expert system 7, wherein the flow of the intelligent self-adaptive processing method of the sealing ring shown in fig. 2 is that the transfer robot 2 automatically takes out a blank of the sealing ring in the stereoscopic warehouse system 1, the three-dimensional CT measuring system 3 carries out scanning modeling on the blank, and formed data is automatically compared with a three-dimensional model of the sealing ring part input in the expert system 7 for analysis; for the seal ring blank which is qualified in detection, automatically acquiring the technological clamping scheme, the cutter and the tooling information of the expert system 7, and transmitting a numerical control machining program for automatically generating each part to the intelligent machining center 4; judging whether the sealing ring blank which is unqualified is repairable or not according to the defect position, transferring the repairable surface defect to a 3D printing system 5 to directly carry out surface overlaying repair, forming a specific clamping scheme by means of allowance after the repairable internal defect is repairable by the expert system 7, automatically transferring the repairable surface defect to the 3D printing system 5 to carry out defect overlaying repair under the control of the expert system 7 when the intelligent machining center 4 processes the repairable surface defect to the defect position, transferring the repairable surface defect to a marking system 6 by controlling a transfer robot 2 by the expert system 7 to carry out retroactive marking, and transferring the repairable surface defect to a disqualified area of the stereoscopic warehouse system 1; the intelligent machining center 4 is combined with the expert system 7 to machine the blank, each process data is recorded in real time in the cutting process and fed back to the expert system 7, and the expert system 7 automatically adjusts the cutting parameters of the machine tool through an intelligent optimization algorithm and each sensor and a visual system to realize high-efficiency machining; after the processing is finished and the online detection of the sealing ring is qualified, the expert system 7 controls the transfer robot 2 to transfer to the marking system 6 to make finished product marks; if the machining process is abnormal, the expert system 7 judges that repairable blanks are transferred to the 3D printing system 5 for defect surfacing repair, the follow-up machining program is optimized for reprocessing, and the expert system 7 controls the transfer robot 2 to transfer the unrepairable blanks to the marking system 6 for retroactive marking and then transfer the unrepairable blanks to the unqualified area of the stereoscopic warehouse system 1. The intelligent self-adaptive processing method for the sealing ring comprises the following component systems:
1) Stereoscopic warehouse system 1: the seal ring material storage is controlled by an expert system 7. The stereoscopic warehouse system 1 is divided into different functional areas according to material characteristics, stores blanks, finished products and to-be-processed and unqualified products respectively, and is realized through a transfer robot 2 with external material turnover.
2) Transfer robot 2: and the sealing ring material turnover, the self control system and the expert system 7 are combined to realize intelligent turnover of materials.
3) Three-dimensional CT measurement system 3: the seal ring blank is detected here, and the machined blank is ensured to meet the requirements. Is connected with the expert system 7 and the transfer robot 2 to realize the interaction of substances and information.
4) Intelligent machining center 4: the sealing ring is processed in the intelligent processing center 4, the turnover with external materials is realized by the transfer robot 2, and the station robot realizes adjustment of different working procedures and workpiece clamping of the intelligent processing center 4. The self control system and the expert system 7 are combined to realize information input, output and control. The intelligent tool, the cutter and the measuring tool library are combined with a vision system and various sensors to provide a self-adaptive intelligent processing hardware foundation for normal processing, detection and abnormal processing. .
5) 3D printing system 5: and repairing defects of the seal ring blank and products in the processing process, and connecting the seal ring blank with the expert system 7 and the transfer robot 2 to realize substance and information interaction.
6) Marking system 6: and the seal ring blank and the product mark in the processing process are connected with the expert system 7 and the transfer robot 2, so that the interaction of substances and information is realized.
7) Expert system 7: the sealing ring realizes the intelligent and self-adaptive processing software foundation, is connected with each hardware system, and realizes information interaction, storage, processing and control instruction output.
In the system 1), the stereoscopic warehouse system 1 is a storage area for sealing ring blanks, products and unqualified products, and can be used as a temporary storage area for the products to be processed, a multi-layer structure for welding sectional materials is adopted, the stereoscopic warehouse is provided with a telescopic manipulator and a storage position sensor, the telescopic manipulator is matched with a receiving and transmitting area self-counting and control system to realize material and information turnover, the real-time dynamic inventory state is shared with expert system 7 information, the expert system 7 automatically judges production needs of each place, and the intelligent turnover of sealing ring products is realized between the receiving and transmitting area and other systems by indicating the standby transfer robot 2.
In the system 2), the transfer robot 2 is used for transferring sealing rings among different system processes, the transfer robot 2 is provided with a position and distance sensor from a belt feeding and discharging device, and is used for controlling the material loading, unloading and walking of the transfer robot 2, and the transfer robot is interconnected with the expert system 7 through wireless signals, so that the intelligent transfer of sealing ring products among different transfer robots 2 can be realized, wherein the transfer can be matched with each other, and the optimal route is realized.
In the system 3), the three-dimensional CT measuring system 3 is internally provided with a product turnover and position conversion device, the sealing ring transported by the transporting robot 2 is automatically fed by a feeding end, the three-dimensional CT measuring system 3 completes surface and internal scanning according to self-set program conversion positions, a reverse three-dimensional modeling model corresponding to the sealing ring batch and internal nondestructive detection result information are generated and transmitted to the expert system 7, and the expert system 7 intelligently indicates the turnover direction of the standby transporting robot 2.
In the system 4), the intelligent machining center 4 is a core for realizing intelligent self-adaptive machining, and is provided with internal and external materials and information exchange respectively, the expert system 7 indicates the transfer robot 2 to transfer the sealing ring blank to be automatically fed by a feeding end station robot, the intelligent machining center 4 automatically processes the blank according to a self control program and combines the data information of the three-dimensional CT measuring system 3 processed by the expert system 7, a tool is called to complete workpiece clamping, the numerical control program of the intelligent machining center 4 automatically calls a preset normal tool setting accurate tool and a machining program optimized by the expert system 7 to process, various temperature, vibration and noise sensors are utilized in the machining process, a vision system and the expert system 7 are combined to track and monitor the machining process of the tool and workpiece, a special measuring tool is automatically called according to the control information of the expert system 7 to detect the machining process and the result, the abnormal in the cutting process is automatically processed by the expert system 7 according to the information of a knowledge base, the abnormal generation alarm information of the ultra-system capability and the control system pauses the processing of the external input to be processed, and the expert system 7 intelligently indicates the transfer robot 2 to go to the turnover position.
In the system 5), the 3D printing system 5 is provided with a printing material library and a 3D printing process parameter library, the seal ring transported by the transporting robot 2 is fed by a feeding end, the 3D printing system 5 self control program is combined with expert system 7 information, the matched 3D printing process parameters are called to complete defect repair, and the expert system 7 intelligently indicates the turnover direction of the standby transporting robot 2.
In the system 6), the marking system 6 is internally provided with a printing device, a sealing ring transported by the transporting robot 2 is automatically transported to a clamping tool by a feeding end, a marking system 6 control program combines with expert system 7 information, matched printing parameters are called to finish the printing of traceable marks of different positions of products, namely qualified, pending and unqualified, and the turnover of the standby transporting robot 2 is intelligently indicated by the expert system 7.
In the system 7), the expert system 7 is a software control foundation for realizing intelligent and self-adaptive processing, receives the input and output of external information of the whole system, completes information transmission by communicating with each subsystem in the system in real time in a wired and wireless mode, stores, processes and optimizes the information by utilizing an artificial intelligence and expert database, and automatically adjusts the operation of the whole system according to the external input information to complete the intelligent self-adaptive processing of the sealing ring.
The above description is only of the preferred embodiments of the present invention, and the above embodiments are not intended to limit the present invention, and those skilled in the art may make modifications, adaptations or equivalent substitutions according to the above description, which fall within the scope of the present invention.
Claims (8)
1. An intelligent self-adaptive machining method for sealing rings is characterized by comprising a stereoscopic warehouse system (1), a transfer robot (2), a three-dimensional CT measuring system (3), an intelligent machining center (4), a 3D printing system (5), a marking system (6) and an expert system (7), wherein the transfer robot (2) automatically takes out sealing ring blanks in the stereoscopic warehouse system (1), the three-dimensional CT measuring system (3) scans and models the blanks, formed data are automatically compared with a sealing ring part three-dimensional model input in the expert system (7) for analysis, qualified sealing ring blanks are detected, a process clamping scheme, a cutter and tool information in the expert system (7) are automatically transferred, a numerical control machining program for automatically generating each part is transferred to the intelligent machining center (4), unqualified sealing ring blanks are detected, the expert system (7) is transferred according to defect positions, whether repairable surface defects are transferred to the 3D printing system (5) for direct surface surfacing repair, the repairable internal defects are formed after the expert system (7) is analyzed by virtue of the residual quantity, the intelligent machining center (4) is transferred to the expert system (3D) for controlling the surfacing position of the defect (2), if unrepairable blanks are transferred to a marking system (6) to be traced and marked by an expert system (7) and then transferred to a defective product area of a stereoscopic warehouse system (1), an intelligent machining center (4) is combined with the expert system (7) to machine sealing ring blanks, process data are recorded in real time in the cutting machining process and fed back to the expert system (7), the expert system (7) automatically adjusts cutting parameters of the intelligent machining center (4) through an intelligent optimization algorithm and sensors and a visual system to realize high-efficiency machining, after the machined sealing rings are detected to be qualified on line, the expert system (7) controls the transfer robot (2) to be transferred to the marking system (6) to make finished product marks, if the sealing ring machining process is abnormal, the expert system (7) determines by utilizing the sensors and the visual system, the repairable control transfer robot (2) is transferred to a 3D printing system (5) to repair defects, a follow-up machining program of the intelligent machining center (4) is optimized, the unrepairable sealing ring is transferred to the marking system (6) by the expert system (7) to be transferred to the marking system (6), and then transferred to the stereoscopic warehouse system (1), the stereoscopic warehouse system (3), the three-dimensional warehouse system (4) is measured, and the three-dimensional warehouse system (3) is qualified, and the finished products are transferred by the three-dimensional warehouse system (4) is measured, and the three-dimensionally measured, and the three-dimensional warehouse system (2) is marked, and the finished products are transferred to be finished The marking system (6) and the expert system (7) together form an intelligent self-adaptive processing method of the sealing ring.
2. The intelligent self-adaptive processing method of the sealing ring according to claim 1, wherein the stereoscopic warehouse system (1) is a storage area of sealing ring blanks, finished products and unqualified products, and can be used as a temporary storage area of the to-be-processed products, the stereoscopic warehouse system (1) adopts a multi-layer structure of profile welding, is provided with a telescopic manipulator and a storage position sensor, is matched with a receiving and sending area counting and control system to realize material and information turnover, the real-time dynamic inventory state is shared with the information of an expert system (7), the expert system (7) automatically judges production needs everywhere, and the intelligent turnover of the sealing ring products is realized in the receiving and sending area and other systems by indicating a standby transfer robot (2).
3. The intelligent self-adaptive machining method of the sealing ring according to claim 1, wherein the transferring robot (2) is used for transferring the sealing ring between different systems, the transferring robot (2) is provided with a position and distance sensor and is used for controlling the loading, unloading and walking of the sealing ring, and the intelligent transfer of the sealing ring product in different positions, namely the transfer robot (2) with the matching of the running performance and the optimal route, is realized through interconnection of wireless signals and an expert system (7).
4. The intelligent self-adaptive machining method of the sealing ring according to claim 1, wherein the three-dimensional CT measuring system (3) is internally provided with a sealing ring turnover and position conversion device, the sealing ring transported by the transporting robot (2) is automatically fed by a feeding end, the three-dimensional CT measuring system (3) completes surface and internal scanning according to self-set program conversion positions, a reverse three-dimensional modeling model corresponding to sealing ring batches and internal nondestructive detection result information are generated and transmitted to the expert system (7), and the expert system (7) intelligently indicates turnover of the transporting robot (2) with a standby discharge port.
5. The intelligent self-adaptive machining method of the sealing ring according to claim 1, wherein the intelligent machining center (4) is a core for realizing intelligent self-adaptive machining, materials and information are respectively exchanged inside and outside, the expert system (7) uniformly schedules a transfer robot (2) to transfer blanks to be automatically fed by a feeding end, the intelligent machining center (4) calls a tool to complete workpiece sealing ring clamping according to a self-control program in combination with data information of a three-dimensional CT measuring system (3) processed by the expert system (7), a numerical control program of the intelligent machining center (4) automatically calls a tool for presetting a normal tool setting accuracy and a machining program optimized by the expert system (7), various temperature, vibration and noise sensors are utilized in the machining process, a vision system and the expert system (7) are combined to track and monitor the machining process of the tool, the tool and the workpiece, the special measuring tool is automatically called according to control information of the expert system (7) to carry out machining process and result detection, the expert system (7) automatically processes anomalies according to information of a knowledge base in the cutting process, and the anomalies exceeding the system capability generate warning information and control the system to suspend the system to carry out the transfer to an external material circulation of the intelligent machining center (2).
6. The intelligent self-adaptive machining method of the sealing ring according to claim 1, wherein the 3D printing system (5) is provided with a printing material library and a 3D printing process parameter library, the sealing ring transported by the transporting robot (2) is fed by a feeding end, the 3D printing system (5) controls a program to be combined with information of an expert system (7), the matched 3D printing process parameters are called to complete defect repair, and the expert system (7) intelligently indicates the turnover of the discharging port standby transporting robot (2).
7. The intelligent self-adaptive processing method of the sealing ring according to claim 1, wherein the marking system (6) is internally provided with a printing device, the sealing ring transported by the transporting robot (2) is automatically transferred to a clamping tool of the marking system (6) from a feeding end, the marking system (6) controls a program to be combined with information of an expert system (7), matched printing parameters are called to finish traceable marking printing of qualified, pending and unqualified sealing ring at different positions, and the expert system (7) intelligently indicates the turnover of the discharging port standby transporting robot (2).
8. The intelligent self-adaptive processing method of the sealing ring according to claim 1, wherein the expert system (7) is a software control basis for realizing intelligent and self-adaptive processing, receives input and output of external information of the whole system, completes information transmission by communicating with all subsystems in the system in real time in a wired and wireless mode, stores, processes and optimizes the information by utilizing an artificial intelligence and expert database, automatically adjusts the operation of the whole system according to the external input information, and completes the intelligent self-adaptive processing of the sealing ring.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1034496A (en) * | 1996-07-22 | 1998-02-10 | Ricoh Co Ltd | Machining center |
| CN1616204A (en) * | 2003-11-12 | 2005-05-18 | 青岛高校软控股份有限公司 | Fault monitoring and expert system for rubber banburying producing process and its using method |
| CN101371164A (en) * | 2006-01-20 | 2009-02-18 | 界标制图有限公司 | Dynamic production system management |
| KR20110075130A (en) * | 2009-12-28 | 2011-07-06 | 한국기계연구원 | A semi-finished ring rolling machine and manufacturing method for profiled ring |
| KR101257275B1 (en) * | 2011-10-26 | 2013-04-22 | 화천기공 주식회사 | Intelligent cnc machine tool with automatic processing function and control method thereof |
| CN103526124A (en) * | 2013-10-28 | 2014-01-22 | 江西省萍乡市三善机电有限公司 | Novel high heat resistant turbocharger sealing ring and preparation method thereof |
| WO2015096511A1 (en) * | 2013-12-24 | 2015-07-02 | 沈阳飞机工业（集团）有限公司 | Intelligent numerical control machining programming system and method for aircraft structural parts |
| CN104759829A (en) * | 2015-04-22 | 2015-07-08 | 济南职业学院 | Self-adaptive surface treatment device and rolling method |
| CN105543768A (en) * | 2016-03-03 | 2016-05-04 | 中研智能装备有限公司 | Plasma 3D printing remanufacturing equipment and method for roller |
| CN106488819A (en) * | 2014-06-20 | 2017-03-08 | 维洛3D公司 | Equipment, system and method for 3 D-printing |
| WO2019055698A1 (en) * | 2017-09-13 | 2019-03-21 | Mixed Dimensions Inc. | 3d model validation and optimization system and method thereof |
| CN209085657U (en) * | 2017-08-02 | 2019-07-09 | 强力物联网投资组合2016有限公司 | For data gathering system related or industrial environment with chemical production technology |
| CN110968072A (en) * | 2019-11-19 | 2020-04-07 | 朱彤 | Electrical automation equipment monitoring system and method based on artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018213334A1 (en) * | 2017-05-15 | 2018-11-22 | Arevo, Inc. | Systems and methods for determining tool paths in three-dimensional printing |
-
2020
- 2020-09-09 CN CN202010943369.1A patent/CN114227145B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1034496A (en) * | 1996-07-22 | 1998-02-10 | Ricoh Co Ltd | Machining center |
| CN1616204A (en) * | 2003-11-12 | 2005-05-18 | 青岛高校软控股份有限公司 | Fault monitoring and expert system for rubber banburying producing process and its using method |
| CN101371164A (en) * | 2006-01-20 | 2009-02-18 | 界标制图有限公司 | Dynamic production system management |
| KR20110075130A (en) * | 2009-12-28 | 2011-07-06 | 한국기계연구원 | A semi-finished ring rolling machine and manufacturing method for profiled ring |
| KR101257275B1 (en) * | 2011-10-26 | 2013-04-22 | 화천기공 주식회사 | Intelligent cnc machine tool with automatic processing function and control method thereof |
| CN103526124A (en) * | 2013-10-28 | 2014-01-22 | 江西省萍乡市三善机电有限公司 | Novel high heat resistant turbocharger sealing ring and preparation method thereof |
| WO2015096511A1 (en) * | 2013-12-24 | 2015-07-02 | 沈阳飞机工业（集团）有限公司 | Intelligent numerical control machining programming system and method for aircraft structural parts |
| CN106488819A (en) * | 2014-06-20 | 2017-03-08 | 维洛3D公司 | Equipment, system and method for 3 D-printing |
| CN104759829A (en) * | 2015-04-22 | 2015-07-08 | 济南职业学院 | Self-adaptive surface treatment device and rolling method |
| CN105543768A (en) * | 2016-03-03 | 2016-05-04 | 中研智能装备有限公司 | Plasma 3D printing remanufacturing equipment and method for roller |
| CN209085657U (en) * | 2017-08-02 | 2019-07-09 | 强力物联网投资组合2016有限公司 | For data gathering system related or industrial environment with chemical production technology |
| CN110073301A (en) * | 2017-08-02 | 2019-07-30 | 强力物联网投资组合2016有限公司 | The detection method and system under data collection environment in industrial Internet of Things with large data sets |
| WO2019055698A1 (en) * | 2017-09-13 | 2019-03-21 | Mixed Dimensions Inc. | 3d model validation and optimization system and method thereof |
| CN110968072A (en) * | 2019-11-19 | 2020-04-07 | 朱彤 | Electrical automation equipment monitoring system and method based on artificial intelligence |
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