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Thermal spraying method and system based on artificial intelligence

A technology of artificial intelligence and thermal spraying, which is applied in the direction of coating, fusion spraying, metal material coating process, etc., can solve the problems of heavy workload, cumbersome work, poor effect, etc., to improve work efficiency, reduce time, Good spraying effect

Active Publication Date: 2018-12-18
北京联合涂层技术有限公司
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the adjustment of process parameters is mainly based on manual experience, which has a large workload, cumbersome work, and poor results.

Method used

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  • Thermal spraying method and system based on artificial intelligence
  • Thermal spraying method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Example 1, such as figure 1 As shown, an artificial intelligence-based thermal spraying method includes the following steps:

[0047] Step 101: Obtain a trained linear regression model.

[0048] Step 102: Obtain preset process parameters; the process parameters are parameters reflecting the technical indicators of the thermal spraying process; the preset process parameters include: the current size of the spraying equipment, the flow rate of helium, the flow rate of argon, and the flow rate of the carrier gas , turntable angle, powder feeding needle angle and powder feeding distance.

[0049] The current size, helium flow rate, argon flow rate, carrier gas flow rate, turntable angle, powder feeding needle angle and powder feeding distance of the spraying equipment for thermal spraying of metal powder are the technical indicators reflecting the spraying process of thermal spraying parameter. Current is a process parameter on the device for controlling thermal spraying...

Embodiment 2

[0059] Example 2, such as figure 2 As shown, an artificial intelligence-based thermal spraying method includes the following steps:

[0060] Step 201: Obtain a trained linear regression model.

[0061] Step 202: Obtain preset effect parameters; the effect parameters are parameters reflecting the technical indicators of the spraying effect; the effect parameters include bonding strength, porosity, metallography and hardness.

[0062] Step 203: According to the preset effect parameters, predict the process parameters through the trained linear regression model; the process parameters are parameters reflecting the technical indicators of the thermal spraying process; the preset process parameters include: spraying equipment Current size, helium flow, argon flow, carrier gas flow, turntable angle, powder feeding needle angle and powder feeding distance.

[0063] Step 204: Spraying according to the predicted process parameters.

[0064] Also include before step 201:

[0065] O...

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Abstract

The invention discloses a thermal spraying method and system based on artificial intelligence. The thermal spraying method based on artificial intelligence comprises the following steps: a trained linear regression model is obtained; preset process parameters are obtained, process parameters are parameters which reflect the technical indicators of a thermal spraying process, and the preset processparameters include: current of a spraying device, helium gas flow rate, argon gas flow rate, carrier gas flow rate, rotary table angle, powder feeding needle angle and powder feeding distance; according to the preset process parameters, effect parameters are predicted through the trained linear regression model; whether or not the errors between the effect parameters and preset effect parametersare within a first error threshold is determined; if yes, spraying is performed according to the preset process parameters; and if not, the preset process parameters are updated so that the errors between the effect parameters and the preset effect parameters are within the first error threshold. The thermal spraying method can reduce the time of artificially groping for process parameters in thethermal spraying industry, improve the working efficiency and achieve better spraying effect.

Description

technical field [0001] The invention relates to the field of thermal spraying, in particular to an artificial intelligence-based thermal spraying method and system. Background technique [0002] The thermal spraying process melts metal powder into a liquid state at high temperature, and then blows it to the surface of some parts that need to be protected with high air pressure to form a coating. Such a coating can make the surface of the part more wear-resistant or more resistant to high temperature, more resistant to corrosion, and so on. The thermal spray industry needs to control the quality of the coating. in thermal spraying. The most important process is how to optimize the coating particularly well, that is, to achieve the coating that achieves the desired effect through the adjustment of process parameters. At present, the adjustment of process parameters is mainly based on manual experience, which has a large workload, cumbersome work, and poor results. Content...

Claims

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Application Information

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IPC IPC(8): C23C4/123
CPCC23C4/123
Inventor 贾鹏
Owner 北京联合涂层技术有限公司
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