CN110699683A - Self-checking type intelligent early warning cold spraying equipment and operation process thereof - Google Patents
Self-checking type intelligent early warning cold spraying equipment and operation process thereof Download PDFInfo
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- CN110699683A CN110699683A CN201911120431.0A CN201911120431A CN110699683A CN 110699683 A CN110699683 A CN 110699683A CN 201911120431 A CN201911120431 A CN 201911120431A CN 110699683 A CN110699683 A CN 110699683A
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- C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
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Abstract
The utility model provides a self-checking formula intelligence early warning cold spraying equipment, includes air compressor machine, heating device, send a powder section of thick bamboo, laval spray gun, nozzle component, microcomputer and controller, send powder section of thick bamboo port portion to be equipped with powder flow monitoring devices, laval spray gun is close to and send one of powder section of thick bamboo to serve and be equipped with pressure sensor and temperature sensor, microcomputer and controller set up inside spraying equipment. The self-checking intelligent early-warning cold spraying equipment and the operation process thereof are added with the temperature sensor, the pressure sensor, the powder flow detection device and the microcomputer, acquire detection signals in real time and compensate the equipment in real time through the controller. Meanwhile, data analysis is carried out on the collected pressure and temperature data based on a convolutional neural network algorithm, the service condition of the Laval spray gun and the nozzle component is detected autonomously, and intelligent early warning and temperature pre-compensation of equipment are realized.
Description
Technical Field
The invention belongs to the technical field of spraying, and particularly relates to self-checking intelligent early-warning cold spraying equipment and an operation process thereof.
Background
The cold spraying is a powder accumulation forming technology by means of supersonic gas flow (generally 300m/s-1200 m/s), is different from other spraying technologies such as thermal spraying and the like, has low temperature of cold spraying forming materials, is particularly suitable for thermosensitive materials, and effectively avoids the generation of thermal defects, and the particle temperature in the whole spraying process cannot exceed the ultrahigh melting point. The method is widely applied to the fields of coating preparation and part repair.
The conventional cold spray apparatus mainly has the following problems. Firstly, cold spraying outlet nozzle and laval pipe easily block up, seriously influence the spraying quality, and the staff can not know the equipment condition in the use, and secondly, nozzle and laval pipe need be changed, and the change index does not have specific measurement standard, and thirdly, gas pressure, powder flow are unstable will lead to relatively poor coating quality. Fourthly, the heating temperature of the heating device shows an unstable trend along with the time, so that the powder is heated and softened unevenly.
Therefore, a new technical solution and device for solving the above problems are urgently needed.
Chinese patent No. 200480038778.6 discloses a cold spray apparatus with a powder preheating device, and does not disclose a technical scheme of automatic compensation and intelligent early warning.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide self-checking intelligent early-warning cold spraying equipment and an operation process thereof, the cold spraying equipment can carry out intelligent early warning on the future use condition of the equipment, the problems that an operator cannot know the use condition of the equipment in the use process of the traditional cold spraying equipment, particularly the use conditions of a Laval spraying gun and a nozzle are solved, and the problems that the gas pressure, the powder flow rate are unstable and the heating temperature of the equipment is unstable along with the time are solved.
The technical scheme is as follows: the invention provides self-checking intelligent early warning cold spraying equipment and an operation process thereof, wherein the spraying equipment comprises an air compressor, a heating device, a powder feeding cylinder, a Laval spray gun, a nozzle component, a microcomputer and a controller, wherein the air compressor is connected with the heating device, the powder feeding cylinder is arranged between the heating device and the Laval spray gun, a powder flow monitoring device is arranged at the port part of the powder feeding cylinder, a pressure sensor and a temperature sensor are arranged at one end of the Laval spray gun close to the powder feeding cylinder, the nozzle component is arranged at the end part of the Laval spray gun far away from the powder feeding cylinder, and the microcomputer and the controller are arranged inside the spraying equipment;
the operation process of the self-checking intelligent early warning cold spraying equipment comprises the following steps;
1) the pressure sensor and the temperature sensor directly transmit data to a microcomputer and a controller of the equipment;
2) the powder flow monitoring device directly transmits data information to a microcomputer and a controller;
3) the microcomputer and the controller analyze the acquired pressure data, temperature data and flow data based on a convolutional neural network algorithm, classify the analyzed detection signals and classify the real-time operation condition of the spraying equipment;
4) the microcomputer and the controller are used for adjusting the pressure and the flow rate, so that real-time dynamic compensation is realized, and the pressure and the temperature are maintained within a certain constant range;
5) the microcomputer and the controller carry out data analysis on the acquired pressure signals and temperature signals based on a convolutional neural network algorithm, intelligent early warning of equipment is realized, and temperature precompensation is realized.
The self-checking intelligent early-warning cold spraying equipment is simple in structure and reasonable in design, and is added with the temperature sensor, the pressure sensor, the powder flow detection device and the microcomputer to acquire detection signals in real time and compensate the equipment in real time through the controller. Meanwhile, the microcomputer and the controller in the operation process carry out data analysis and mining on the collected pressure and temperature data based on a convolutional neural network algorithm, the use conditions of the Laval spray gun and the nozzle are detected autonomously, and intelligent early warning and temperature pre-compensation of the equipment are realized by predicting the trend of the pressure and the temperature changing along with time.
Further, according to the operation process of the self-checking intelligent early warning cold spraying equipment, in the step 1), the pressure sensor and the temperature sensor perform real-time detection, acquisition and storage on pressure and temperature signals in the operation process of the equipment.
Further, the operation process of the self-checking intelligent early warning cold spraying equipment is that the powder flow monitoring device in the step 2) can detect, collect and store the powder flow signal.
Further, in the operation flow of the self-checking intelligent early warning cold spraying equipment, in the step 3), the microcomputer and the controller analyze the collected pressure data, temperature data and flow data based on a convolutional neural network algorithm to establish a relation function between pressure, temperature, delivery amount and time, judge whether the laval spray gun and the nozzle component are abnormal, and obtain the real-time operation condition of the laval spray gun and the nozzle component of the spraying equipment at the current moment, and display the real-time operation condition on a display panel on the surface of the spraying equipment.
Further, according to the operation process of the self-checking intelligent early-warning cold spraying equipment, the microcomputer and the controller adjust the pressure and the flow in the step 4), so that real-time dynamic compensation is realized, the pressure and the temperature are guaranteed to be maintained within a certain constant range, and the stability of the quality of a printing material is further realized.
Further, in the operation flow of the self-checking intelligent early-warning cold spraying device, in the step 5), the microcomputer and the controller perform data analysis on the acquired pressure signal and temperature signal based on a convolutional neural network algorithm to obtain the relation between pressure, temperature and time, and predict the trend of the future pressure signal and temperature signal, namely predict the future operation conditions of the laval spray gun, the nozzle component and the heating device, so that intelligent early warning of the device is realized, and temperature pre-compensation is realized.
The technical scheme shows that the invention has the following beneficial effects: the self-checking intelligent early-warning cold spraying equipment is simple in structure and reasonable in design, and is added with the temperature sensor, the pressure sensor, the powder flow detection device and the microcomputer to acquire detection signals in real time and compensate the equipment in real time through the controller. Meanwhile, data analysis and mining are carried out on the collected pressure and temperature data based on a convolutional neural network algorithm, the service conditions of the Laval spray gun and the nozzle are detected autonomously, intelligent early warning and temperature pre-compensation of equipment are realized by predicting the trend of pressure and temperature changing along with time, the application prospect is wide, and the method has high popularization value.
Drawings
FIG. 1 is a schematic structural diagram of a self-checking intelligent early warning cold spraying device according to the present invention;
FIG. 2 is a flow chart of the operation of the self-checking intelligent early warning cold spray apparatus of the present invention;
fig. 3 is a schematic diagram of the pressure signals detected by the self-checking intelligent early warning cold spraying equipment at two moments and the corresponding detection conditions.
In the figure: the device comprises an air compressor 1, a heating device 2, a powder feeding cylinder 3 and a powder flow monitoring device 4, wherein the Laval spray gun comprises a pressure sensor 5, a temperature sensor 6, a Laval spray gun 7, a nozzle assembly 8, a microcomputer and a controller 9.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Examples
The spraying equipment shown in fig. 1 comprises an air compressor 1, a heating device 2, a powder feeding cylinder 3, a laval spray gun 7, a nozzle component 8, a microcomputer and a controller 9, wherein the air compressor 1 is connected with the heating device 2, the powder feeding cylinder 3 is arranged between the heating device 2 and the laval spray gun 7, a powder flow monitoring device 4 is arranged at a port of the powder feeding cylinder 3, a pressure sensor 5 and a temperature sensor 6 are arranged at one end, close to the powder feeding cylinder 3, of the laval spray gun 7, the nozzle component 8 is arranged at the end, far away from the powder feeding cylinder 3, of the laval spray gun 7, and the microcomputer and the controller 9 are arranged inside the spraying equipment;
the operation process of the self-checking intelligent early-warning cold spraying equipment shown in fig. 2 comprises the following steps;
1) the pressure sensor 5 and the temperature sensor 7 directly transmit data to a microcomputer and a controller 9 of the equipment;
2) the powder flow monitoring device 4 directly transmits data information to the microcomputer and the controller 9;
3) the microcomputer and controller 9 analyzes the acquired pressure data, temperature data and flow data based on a convolutional neural network algorithm, classifies the analyzed detection signals, and classifies the real-time operation condition of the spraying equipment;
4) the microcomputer and the controller 9 are used for adjusting the pressure and the flow rate, so that real-time dynamic compensation is realized, and the pressure and the temperature are maintained within a certain constant range;
5) the microcomputer and controller 9 performs data analysis on the acquired pressure signal and temperature signal based on a convolutional neural network algorithm, realizes intelligent early warning of the equipment, and realizes temperature precompensation.
Fig. 3 shows the detected pressure signal at two times and the corresponding detection situation.
The pressure sensor 5 and the temperature sensor 7 detect, collect and store pressure and temperature signals in the running process of the equipment in real time. Meanwhile, the powder flow monitoring device 4 can detect, collect and store the powder flow signal.
The microcomputer and controller 9 analyzes the collected pressure data, temperature data and flow data based on a convolutional neural network algorithm to establish a relation function of pressure, temperature, a delivery component and time, judges whether the laval spray gun 7 and the nozzle component 8 are abnormal or not, obtains the real-time running conditions of the laval spray gun 7 and the nozzle component 8 of the spraying equipment at the current moment, and displays the real-time running conditions on a display panel on the surface of the spraying equipment.
Then, the microcomputer and the controller 9 are used for adjusting the pressure and the flow rate, so that real-time dynamic compensation is realized, the pressure and the temperature are kept within a certain constant range, and the stability of the quality of the printing material is realized.
The microcomputer and controller 9 analyzes data of the collected pressure signal and temperature signal based on the convolutional neural network algorithm to obtain the relation between pressure, temperature and time, and predicts the trend of the future pressure signal and temperature signal, namely predicts the future operating conditions of the Laval spray gun 7, the nozzle component 8 and the heating device 2, thereby realizing intelligent early warning of the equipment and pre-compensating the temperature.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that modifications can be made by those skilled in the art without departing from the principle of the present invention, and these modifications should also be construed as the protection scope of the present invention.
Claims (6)
1. The utility model provides a self-checking formula intelligence early warning cold spraying equipment and operation flow thereof which characterized in that: the spraying equipment comprises an air compressor (1), a heating device (2), a powder feeding cylinder (3), a Laval spray gun (7), a nozzle component (8), a microcomputer and a controller (9), wherein the air compressor (1) is connected with the heating device (2), the powder feeding cylinder (3) is arranged between the heating device (2) and the Laval spray gun (7), a powder flow monitoring device (4) is arranged at the port part of the powder feeding cylinder (3), one end, close to the powder feeding cylinder (3), of the Laval spray gun (7) is provided with a pressure sensor (5) and a temperature sensor (6), the nozzle component (8) is arranged at the end part, far away from the powder feeding cylinder (3), of the Laval spray gun (7), and the microcomputer and the controller (9) are arranged inside the spraying equipment;
the operation process of the self-checking intelligent early warning cold spraying equipment comprises the following steps;
1) the pressure sensor (5) and the temperature sensor (7) directly transmit data to a microcomputer and a controller (9) of the equipment;
2) the powder flow monitoring device (4) directly transmits data information to a microcomputer and a controller (9);
3) the microcomputer and the controller (9) analyze the acquired pressure data, temperature data and flow data based on a convolutional neural network algorithm, classify the analyzed detection signals and classify the real-time operation condition of the spraying equipment;
4) the pressure and the flow are regulated through the microcomputer and the controller (9), so that real-time dynamic compensation is realized, and the pressure and the temperature are maintained within a certain constant range;
5) the microcomputer and the controller (9) carry out data analysis on the collected pressure signals and temperature signals based on a convolutional neural network algorithm, intelligent early warning of equipment is achieved, and temperature pre-compensation is achieved.
2. The operation flow of the self-test intelligent early-warning cold spraying equipment according to claim 1, characterized in that: and in the step 1), the pressure sensor (5) and the temperature sensor (7) detect, acquire and store pressure and temperature signals in the running process of the equipment in real time.
3. The operation flow of the self-test intelligent early-warning cold spraying equipment according to claim 1, characterized in that: the powder flow monitoring device (4) in the step 2) can detect, collect and store the powder flow signal.
4. The operation flow of the self-test intelligent early-warning cold spraying equipment according to claim 1, characterized in that: and 3) analyzing the acquired pressure data, temperature data and flow data by the microcomputer and the controller (9) based on a convolutional neural network algorithm to establish a relation function of pressure, temperature, a delivery component and time, judging whether the Laval spray gun (7) and the nozzle component (8) are abnormal or not, obtaining the real-time running conditions of the Laval spray gun (7) and the nozzle component (8) of the spraying equipment at the current moment, and displaying the real-time running conditions on a display panel on the surface of the spraying equipment.
5. The operation flow of the self-test intelligent early-warning cold spraying equipment according to claim 1, characterized in that: and (3) adjusting the pressure and the flow by the microcomputer and the controller (9) in the step 4), further realizing real-time dynamic compensation, ensuring that the pressure and the temperature are maintained within a certain constant range, and further realizing the stability of the quality of the printing material.
6. The operation flow of the self-test intelligent early-warning cold spraying equipment according to claim 1, characterized in that: and in the step 5), the microcomputer and the controller (9) carry out data analysis on the acquired pressure signals and temperature signals based on a convolutional neural network algorithm to obtain the relation between pressure, temperature and time, and predict the trend of future pressure signals and temperature signals, namely predict the future operating conditions of the Laval spray gun (7), the nozzle component (8) and the heating device (2), so that intelligent early warning of equipment is realized, and temperature pre-compensation is realized.
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| CN201911120431.0A CN110699683A (en) | 2019-11-15 | 2019-11-15 | Self-checking type intelligent early warning cold spraying equipment and operation process thereof |
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| CN201911120431.0A CN110699683A (en) | 2019-11-15 | 2019-11-15 | Self-checking type intelligent early warning cold spraying equipment and operation process thereof |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651729A (en) * | 2020-06-02 | 2020-09-11 | 山东莱钢永锋钢铁有限公司 | Method for predicting blockage of secondary cooling water nozzle in continuous casting |
| CN112170037A (en) * | 2020-08-11 | 2021-01-05 | 江苏大学 | Double-spray-gun alternate spraying preparation device and method for laminated composite material |
| CN112253439A (en) * | 2020-10-20 | 2021-01-22 | 河北匠心智联软件技术有限公司 | Compressed air AI precision control system and control method based on terminal pressure |
| CN112275102A (en) * | 2020-10-20 | 2021-01-29 | 河北匠心智联软件技术有限公司 | AI frequency conversion precision control-based energy-saving control system and method for air dryer |
| CN112844894A (en) * | 2021-02-05 | 2021-05-28 | 山东九旭机械科技有限公司 | Hydraulic polyurea spraying system |
-
2019
- 2019-11-15 CN CN201911120431.0A patent/CN110699683A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651729A (en) * | 2020-06-02 | 2020-09-11 | 山东莱钢永锋钢铁有限公司 | Method for predicting blockage of secondary cooling water nozzle in continuous casting |
| CN112170037A (en) * | 2020-08-11 | 2021-01-05 | 江苏大学 | Double-spray-gun alternate spraying preparation device and method for laminated composite material |
| CN112253439A (en) * | 2020-10-20 | 2021-01-22 | 河北匠心智联软件技术有限公司 | Compressed air AI precision control system and control method based on terminal pressure |
| CN112275102A (en) * | 2020-10-20 | 2021-01-29 | 河北匠心智联软件技术有限公司 | AI frequency conversion precision control-based energy-saving control system and method for air dryer |
| CN112844894A (en) * | 2021-02-05 | 2021-05-28 | 山东九旭机械科技有限公司 | Hydraulic polyurea spraying system |
| CN112844894B (en) * | 2021-02-05 | 2022-06-17 | 山东九旭机械科技有限公司 | Hydraulic polyurea spraying system |
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Application publication date: 20200117 |