Spiral-flow type blowing method, system and device for ultrafast laser processing

Through the swirl blowing method, combined with data processing and module analysis, the slag blowing parameters are optimized, and the problem of difficult to effectively discharge metal residues in deep micropores in the prior art is solved, and processing efficiency and product quality are improved.

CN119733942AInactive Publication Date: 2025-04-01NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202510250052.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-04-01
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When the existing blowing method assists in processing deep micropores, the flow field velocity is low near the orifice in the hole, which is prone to vortex, making it difficult to effectively blow away metal residues deep in the micropores, limiting the improvement of processing efficiency.

Method used

A cyclone blowing method is provided. By obtaining laser processing process data, preset slag exhaust blowing parameters are obtained, and the stability of processing equipment and slag discharge efficiency are evaluated and adjusted through data processing and risk warning modules, comprehensive analysis and feedback modules, and the slag discharge blowing parameters are optimized.

Benefits of technology

It realizes the effective discharge of metal residues in deep micropores, improves processing efficiency, and improves product quality and overall production efficiency of equipment.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of ultrafast laser deep micropore machining, in particular to a spiral-flow type air blowing method, system and device for ultrafast laser machining, and the method comprises the steps that S1, laser machining process data are obtained, and preset deslagging air blowing parameters are obtained through matching; s2, processing the processing environment data and the equipment basic data to obtain a processing equipment stability evaluation index, and performing risk early warning on the equipment; and S3, processing the processing process data to obtain a processing equipment slagging energy efficiency evaluation value, carrying out comprehensive analysis to obtain a slagging blowing parameter adjustment demand evaluation index, and adjusting the slagging blowing parameter according to the slagging blowing parameter adjustment demand evaluation index. According to the spiral-flow type air blowing method, system and device for ultrafast laser machining, slag discharging and air blowing parameters are optimized and adjusted, the more efficient machining process is achieved, the product quality is improved, and the overall production efficiency of machining equipment is improved.
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Description

Technical Field

[0001] The invention relates to the technical field of ultrafast laser deep micro-hole processing, and in particular to a cyclonic air blowing method, system and device for ultrafast laser processing. Background Art

[0002] Ultrafast laser drilling has the advantages of high precision and non-contact, and is currently widely used in aerospace, microelectronics, medical and other fields. Ultrafast laser drilling technology has effectively solved the problems of drilling quality and accuracy. However, the plasma or material dust particles generated during laser processing will strongly absorb and scatter the laser, causing the laser energy and beam quality acting on the material surface to decrease. In order to improve the efficiency of plasma and dust discharge from deep microholes, one of the effective ways is to use auxiliary gas blowing to remove slag.

[0003] For example, the invention patent with publication number: CN118768315A is a chip removal method, system and laser cutting machine for a laser cutting machine, including: obtaining physical image information of the material at the processing position; matching the physical image information with the product database to determine the product processing information; determining the cutting path information of the product according to the product processing information; determining the splashing direction of the flying chips generated at the laser focus point according to the cutting path information; determining the dust suction direction of the dust suction pipe, the blowing direction of the blowing port of the blowing device and the wind wall direction of the wind wall port according to the splashing direction of the chips; controlling the dust suction pipe to suck the flying chips according to the dust suction direction, controlling the blowing device to blow the chips on the surface of the material into the dust suction pipe according to the blowing direction, and synchronously controlling the blowing device to blow in the wind wall direction on both sides of the laser focus point to form a wind wall to limit the flying chips and guide the flying chips into the dust suction pipe.

[0004] For example, the invention patent with publication number: CN118527423A is an automated deep cleaning equipment for processing flexible lines, including a shell and a main frame located inside the shell; a servo rotation system, front and rear pneumatic supports located on the right side of the servo rotation system, a gas storage tank, a bottom support leg, a slag discharger, an outer cover plate of the main frame and an electrical box are fixed on the main frame; it also includes an upper flap, a slide rail, an inner trough body, left and right rear covers, a rotating shaft, a rotating disk, a servo reducer mounting seat, an air blowing container box, an air blowing nozzle and an air blowing container box mounting frame.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: when the existing blowing method is used to assist in the processing of deep microholes, the flow field velocity near the hole mouth is relatively low, eddy currents are easily generated in the hole, and the high-speed area in the hole is limited to the hole wall near the hole mouth, making it difficult to effectively blow away metal residues deep in the microhole, limiting the improvement of processing efficiency. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a cyclonic air blowing method, system and device for ultrafast laser processing, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a cyclonic blowing method for ultrafast laser processing, including: S1. Acquire laser processing process data, including pre-processing data, processing environment data, basic equipment data and processing process data, and obtain preset slag removal blowing parameters according to the pre-processing data matching.

[0008] S2. Process the processing environment data and basic equipment data to obtain the processing equipment stability evaluation index, and issue risk warnings to the equipment based on the processing equipment stability evaluation index.

[0009] S3. Process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and according to the processing equipment stability evaluation index, comprehensively analyze to obtain the slag removal air blowing parameter adjustment demand evaluation index, and adjust the slag removal air blowing parameters according to the slag removal air blowing parameter adjustment demand evaluation index.

[0010] As a further method, the preset slag removal and air blowing parameters are obtained according to the matching of pre-processing data. The specific process is as follows: the pre-processing data includes processing material characteristics and laser equipment characteristics.

[0011] Among them, the processing material characteristics include the thickness of the material to be processed, the area of ​​the material to be processed, the melting point of the metal to be processed and the diameter of the pre-drilled hole.

[0012] Laser device characteristics include laser power, laser beam diameter, and laser class.

[0013] According to the laser category matching, the influence factors of the estimated setting values ​​of the slag removal and blowing parameters corresponding to the laser category are obtained.

[0014] The critical material thickness, critical material area, critical metal melting point, critical hole diameter, critical laser beam diameter and critical laser power are extracted from the laser processing system database.

[0015] According to the pre-processing data, the estimated setting values ​​of the slag removal and blowing parameters are obtained through comprehensive processing. The estimated setting values ​​of the slag removal and blowing parameters are used to quantitatively evaluate the degree of influence on the setting of the slag removal and blowing parameters, and provide a basis for matching the preset slag removal and blowing parameters.

[0016] The preset slag removal air blowing parameters are matched according to the predicted set values ​​of the slag removal air blowing parameters, and the preset slag removal air blowing parameters include air blowing time, gas flow rate and air blowing nozzle structure parameters.

[0017] The structural parameters of the blowing nozzle include the height and spiral angle of the protruding structure of the swirl nozzle with a protruding structure, and the air inlet angle and deflection angle of the swirl nozzle with non-radial air inlet.

[0018] As a further method, the processing environment data and basic equipment data are processed to obtain a processing equipment stability evaluation index. The specific process is: the processing environment data includes: light intensity, suspended particle concentration and magnetic field interference intensity at each environmental monitoring point during the processing cycle.

[0019] The basic data of the equipment include: laser intensity, temperature, suspended particle concentration and magnetic field interference intensity at each environmental monitoring point of the blowing air flow field during the processing cycle.

[0020] The basic data of the equipment include: actual laser power, actual laser wavelength, actual pulse energy, equipment vibration intensity and equipment voltage at each time monitoring point during the processing cycle.

[0021] The critical laser intensity, critical temperature, critical suspended particle concentration, critical magnetic field interference intensity, preset laser power, preset laser wavelength, rated voltage, critical vibration intensity, allowable deviation laser power, allowable deviation laser wavelength and allowable deviation voltage are extracted from the laser processing system database.

[0022] Based on the processing environment data and the basic equipment data, a comprehensive analysis is performed to obtain a processing equipment stability evaluation index, which is used to quantitatively evaluate the stability of the processing equipment during the processing and provide a basis for analyzing the processing efficiency of the equipment.

[0023] As a further method, the risk warning of equipment is carried out according to the processing equipment stability assessment index. The specific process is: extracting the processing equipment stability assessment parameter from the laser processing system database, comparing the processing equipment stability assessment index with the processing equipment stability assessment parameter, if the processing equipment stability assessment index is higher than or equal to the processing equipment stability assessment parameter, then the processing equipment stability assessment is qualified; if the processing equipment stability assessment index is lower than the processing equipment stability assessment parameter, then the processing equipment stability assessment is unqualified, and a risk warning is issued for the unqualified processing equipment.

[0024] As a further method, the processing data is processed to obtain the slag removal energy efficiency evaluation value of the processing equipment. The specific process is: the processing data includes: slag removal and blowing process data and processing speed.

[0025] The slag removal and air blowing process data include the slag removal speed of the equipment during the processing cycle, the amount of residue blown away, and the amount of residue remaining in the processing area.

[0026] The processing area is divided into several blowing areas, each of which is marked as a blowing area, and the amount of residue remaining in each blowing area is collected.

[0027] The critical values ​​of slag removal speed, residue blowing amount and residue remaining amount are extracted from the laser processing system database.

[0028] According to the slag removal and blowing process data, the slag removal energy efficiency evaluation value of the processing equipment is processed and obtained. The slag removal energy efficiency evaluation value of the processing equipment is used to quantitatively evaluate the slag removal energy efficiency of the processing equipment and provide a basis for evaluating the adjustment requirements of the slag removal and blowing parameters.

[0029] As a further method, the comprehensive analysis obtains the evaluation index of the slag removal and blowing parameter adjustment demand, and the specific analysis process is: extracting the critical processing speed from the laser processing system database.

[0030] According to the slag removal energy efficiency evaluation value of the processing equipment, the processing equipment stability evaluation index and the processing speed, a comprehensive analysis is conducted to obtain the slag removal air blowing parameter adjustment demand evaluation index, which is used to quantitatively evaluate the degree of need for the equipment to adjust the slag removal air blowing parameters, and provide a basis for parameter adjustment.

[0031] As a further method, the slag removal blowing parameters are adjusted according to the slag removal blowing parameter adjustment demand evaluation index. The specific adjustment process is: extracting the slag removal blowing parameter adjustment demand evaluation index threshold from the laser processing system database, comparing the slag removal blowing parameter adjustment demand evaluation index with the slag removal blowing parameter adjustment demand evaluation index threshold; if the slag removal blowing parameter adjustment demand evaluation index is higher than or equal to the slag removal blowing parameter adjustment demand evaluation index threshold, the slag removal blowing parameters need to be adjusted; if the slag removal blowing parameter adjustment demand evaluation index is lower than the slag removal blowing parameter adjustment demand evaluation index threshold, the preset slag removal blowing parameters are maintained for processing.

[0032] As a further method, the slag removal blowing parameters are adjusted, and the specific adjustment process is: subtract the slag removal blowing parameter adjustment demand evaluation index that is higher than or equal to the slag removal blowing parameter adjustment demand evaluation index threshold from the slag removal blowing parameter adjustment demand evaluation index threshold to obtain the expected demand adjustment parameter.

[0033] A mapping set between the expected demand adjustment parameters and the slag removal blowing parameter adjustment values ​​is extracted from the laser processing system database. The slag removal blowing parameter adjustment values ​​are matched according to the mapping set. According to the slag removal blowing parameter adjustment values, the corresponding blowing time is extended and the corresponding gas flow rate is increased. At the same time, for the swirl nozzle with a protruding structure, the height and spiral angle of the protruding structure can be increased. For the swirl nozzle with non-radial air inlet, the size and deflection angle of the air inlet can be increased.

[0034] A second aspect of the present invention provides a cyclonic air blowing system for ultrafast laser processing, comprising: a data acquisition and preprocessing module, a data processing and risk warning module, and a comprehensive analysis and feedback module.

[0035] The data acquisition and preprocessing module is used to obtain laser processing data, including preprocessing data, processing environment data, basic equipment data and processing process data, and obtain preset slag removal and blowing parameters according to the preprocessing data.

[0036] The data processing and risk warning module is used to process the processing environment data and the basic equipment data to obtain the processing equipment stability evaluation index, and to issue risk warnings to the equipment based on the processing equipment stability evaluation index.

[0037] The comprehensive analysis and feedback module is used to process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and to obtain the slag removal blowing parameter adjustment demand evaluation index through comprehensive analysis based on the processing equipment stability evaluation index, and to adjust the slag removal blowing parameters based on the slag removal blowing parameter adjustment demand evaluation index.

[0038] A third aspect of the present invention provides a swirl-type air blowing device for ultrafast laser processing, comprising: a swirl-type nozzle with a protruding structure and a swirl-type nozzle with non-radial air inlet.

[0039] The swirl nozzle with a convex structure comprises a convergent nozzle and a convex structure on the inner wall surface.

[0040] Among them, the convergent nozzle adopts a tapered pipe design, with the cross-section gradually decreasing from the inlet to the outlet.

[0041] The raised structures are arranged in a spiral form on the inner wall of the nozzle to induce the gas to form a spiral flow.

[0042] The non-radial air inlet swirl nozzle is used to adjust the orientation of the air inlet to change the direction of the inlet airflow, thereby changing the flow in the nozzle from a simple axial flow to a spiral flow.

[0043] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a cyclonic air blowing method, system and device for ultrafast laser processing, which comprehensively analyzes the stability of processing equipment, slag removal efficiency and processing speed, helps to accurately judge whether the slag removal blowing parameters need to be adjusted, and realizes the optimization adjustment of the slag removal blowing parameters, which is conducive to achieving a more efficient processing process, helping to improve product quality, and improving the overall production efficiency of the processing equipment.

[0044] (2) The present invention can more accurately set the slag removal and blowing parameters by comprehensively analyzing the material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area, thereby more accurately controlling the material removal process, reducing the generation of overburning and heat-affected zones, improving processing accuracy, and also helping to enhance the adaptability of the equipment.

[0045] (3) The present invention can more comprehensively and accurately evaluate the relationship between laser power, laser wavelength, pulse energy, equipment vibration intensity and equipment voltage, as well as the degree of interference in the processing environment, and provide a corresponding basis for taking appropriate environmental control measures, power protection and equipment maintenance, thereby helping to minimize the impact of environmental factors on equipment stability, which is beneficial to improving processing quality and efficiency.

[0046] (4) The present invention can make the evaluation of the slag discharge efficiency of the equipment more comprehensive and accurate by comprehensively analyzing the slag discharge speed, the amount of residue blown away and the amount of residue remaining. The accurate slag discharge efficiency of the equipment can more reasonably guide the optimization and adjustment of the slag discharge blowing parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0048] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0049] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0050] Figure 3 It is a 3D schematic diagram of a cyclonic blowing device involved in an embodiment of the present invention.

[0051] Figure 4 It is a schematic diagram of a swirl nozzle with a protrusion structure involved in an embodiment of the present invention.

[0052] Figure 5 It is a schematic diagram of a swirl nozzle with non-radial air intake involved in an embodiment of the present invention.

[0053] Figure 6 It is a schematic diagram of a swirl nozzle with a local protrusion structure involved in an embodiment of the present invention.

[0054] Figure 7 It is a top view of the non-radial air inlet swirl nozzle involved in an embodiment of the present invention.

[0055] Figure 8 It is a side view of a non-radial air inlet swirl nozzle according to an embodiment of the present invention.

[0056] Fig. 9 It is a cross-sectional view of a swirl nozzle with a local protrusion structure according to an embodiment of the present invention.

[0057] The accompanying drawings are described as follows: 1. outer wall of the nozzle, 2. inner wall of the nozzle, 3. vortex generator. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0059] Reference Figure 1 As shown, the first aspect of the present invention provides a cyclonic blowing method for ultrafast laser processing, comprising: S1. acquiring laser processing process data, including pre-processing data, processing environment data, basic equipment data and processing process data, and obtaining preset slag removal blowing parameters according to the matching of the pre-processing data.

[0060] Specifically, the preset slag removal and air blowing parameters are obtained according to the matching of the pre-processing data, and the specific process is as follows: the pre-processing data includes processing material characteristics and laser equipment characteristics.

[0061] Among them, the processing material characteristics include the thickness of the material to be processed, the area of ​​the material to be processed, the melting point of the metal to be processed and the diameter of the pre-drilled hole.

[0062] Laser device characteristics include laser power, laser beam diameter, and laser class.

[0063] According to the laser category matching, the influence factors of the estimated setting values ​​of the slag removal and blowing parameters corresponding to the laser category are obtained.

[0064] The critical material thickness, critical material area, critical metal melting point, critical hole diameter, critical laser beam diameter and critical laser power are extracted from the laser processing system database.

[0065] According to the pre-processing data, the estimated setting values ​​of the slag removal and blowing parameters are obtained through comprehensive processing. The estimated setting values ​​of the slag removal and blowing parameters are used to quantitatively evaluate the degree of influence on the setting of the slag removal and blowing parameters, and provide a basis for matching the preset slag removal and blowing parameters.

[0066] The preset slag removal air blowing parameters are matched according to the predicted set values ​​of the slag removal air blowing parameters, and the preset slag removal air blowing parameters include air blowing time, gas flow rate and air blowing nozzle structure parameters.

[0067] The structural parameters of the blowing nozzle include the height and spiral angle of the protruding structure of the swirl nozzle with a protruding structure, and the air inlet angle and deflection angle of the swirl nozzle with non-radial air inlet.

[0068] In a specific embodiment, the numerical expression of the estimated setting value of the slag removal and blowing parameter is: ; In the formula, Indicates the estimated setting value of the slag discharge and blowing parameters of the swirl nozzle with a convex structure. It represents the estimated setting value of the slag blowing parameters of the non-radial air inlet swirl nozzle, e represents the natural constant, Indicates the thickness of the material to be processed. Indicates the pre-punched hole diameter, represents the laser power, represents the laser beam diameter, Indicates the melting point of the metal to be processed, Indicates the area of ​​material to be processed, represents the critical material thickness, represents the critical hole diameter, represents the critical laser power, represents the critical laser beam diameter, represents the critical metal melting point, represents the critical material area, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset material thickness, Indicates the influence factor of the expected setting value of the slag discharge and blowing parameters corresponding to the preset hole diameter, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset laser power, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset laser beam diameter, Indicates the influence factor of the expected setting value of the slag blowing parameters corresponding to the preset metal melting point, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset material area, It indicates the influencing factor of the expected setting value of the slag removal and blowing parameters corresponding to the laser type.

[0069] It should be added that the swirl nozzle with a raised structure is suitable for application scenarios that require precise control of the direction and intensity of the airflow, such as gas assist in laser cutting or welding. Among them, the raised structure is used to enhance or change the direction and intensity of the airflow to meet specific processing requirements. The helix angle determines the degree of rotation of the airflow, which helps to achieve a more uniform or directional gas flow.

[0070] It should be added that the non-radial air inlet swirl nozzle is suitable for application scenarios that require complex airflow patterns, such as gas assist in surface treatment or material removal. Non-radial air inlet is used to achieve more complex airflow patterns, such as generating vortices or changing the direction of the airflow. The deflection angle is used to adjust the ejection direction of the airflow to meet specific processing requirements.

[0071] It needs to be explained that the thicker the material to be processed, the higher the melting point of the metal to be processed, the greater the laser power, the larger the laser beam diameter, and the smaller the hole diameter, the larger the corresponding slag removal and blowing parameter setting value is expected to be, indicating that the slag removal and blowing parameter value needs to be set larger.

[0072] It needs to be explained that when the material to be processed is thicker, the melting point of the metal to be processed is higher, the laser power is greater, the laser beam diameter is larger, and the material to be processed is larger, the corresponding slag removal and blowing parameter is expected to be set larger, indicating that the value of the slag removal and blowing parameter needs to be set larger.

[0073] It should be explained that in this embodiment Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset material thickness, Indicates the influence factor of the expected setting value of the slag discharge and blowing parameters corresponding to the preset hole diameter, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset laser power, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset laser beam diameter, Indicates the influence factor of the expected setting value of the slag blowing parameters corresponding to the preset metal melting point, Indicates the influence factor of the expected setting value of the slag removal and blowing parameters corresponding to the preset material area, The influence factors of the estimated setting values ​​of the deslagging and blowing parameters corresponding to the laser category respectively represent the influence degree of the unit values ​​of the material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area on the setting of the deslagging and blowing parameters. When used, they can be directly obtained from the laser processing system database, and the corresponding relationship can be a pre-set mapping relationship. For example, the material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area are respectively mapped with the estimated setting value influence factors of the deslagging and blowing parameters corresponding to the material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area preset in the laser processing system database to form a mapping set. The real-time material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area are input into the mapping set to obtain the corresponding estimated setting value influence factors of the deslagging and blowing parameters, and the mapping relationship can be one-to-one or many-to-one. The above-mentioned influencing factors are all extracted from the laser processing system database, and the value range is between 0 and 1.

[0074] It needs to be explained that the thicker the material and the larger the area, the greater the laser power required, because more energy is needed to penetrate the material. As the material thickness increases, the pressure of the slag removal blowing should also increase accordingly to ensure that the molten material can be effectively discharged to prevent clogging of the holes and affecting the processing quality. The higher the melting point of the metal, the greater the laser energy required to achieve the melting of the material. This means that high-melting-point metals may melt more slowly during laser processing. Slow melting may lead to reduced slag removal efficiency because the molten material stays inside the material for a longer time and may re-solidify to form slag that is difficult to remove. A large hole diameter is conducive to the discharge of molten material, and the blowing pressure can be appropriately reduced. The laser power is high and the material melts quickly, requiring a strong blow to discharge the molten material in time. When the power is high, insufficient blowing may cause the molten material to accumulate around the hole, affecting the processing effect.

[0075] It should be explained that, by comprehensively analyzing the material thickness, hole diameter, laser power, laser beam diameter, metal melting point, laser pulse width and material area, the present embodiment can more accurately set the deslagging blowing parameters, thereby more accurately controlling the material removal process, reducing the generation of overburning and heat-affected zones, and improving the processing accuracy. More accurate blowing can prevent the molten material from blocking the pre-drilling, ensuring that the holes are unobstructed, thereby improving the processing quality of the holes. Effective deslagging can reduce the adhesion of slag on the surface of the material, making the processed surface smoother. By optimizing the blowing parameters, the downtime and cleaning time caused by poor deslagging can also be reduced, thereby improving production efficiency. It can also prevent the molten material from splashing onto the laser head, reduce damage to the laser head, and extend its service life. The optimized blowing parameters can reduce the frequent maintenance of the equipment caused by deslagging problems and reduce maintenance costs. By accurately controlling the blowing parameters, excessive energy consumption, such as unnecessary high blowing pressure, can be avoided. Good deslagging effect also helps to reduce waste in the material processing process. By adjusting the blowing parameters, it can better adapt to the processing of materials of different thicknesses and types, and improve the adaptability of the equipment.

[0076] S2. Process the processing environment data and basic equipment data to obtain the processing equipment stability evaluation index, and issue risk warnings to the equipment based on the processing equipment stability evaluation index.

[0077] Specifically, the processing environment data and basic equipment data are processed to obtain the processing equipment stability evaluation index. The specific process is: the processing environment data includes: laser intensity, temperature, suspended particle concentration, and magnetic field interference intensity of each environmental monitoring point in the blowing flow field during the processing cycle.

[0078] The basic data of the equipment include: actual laser power, actual laser wavelength, actual pulse energy, equipment vibration intensity and equipment voltage at each time monitoring point during the processing cycle.

[0079] It should be explained that the equipment vibration intensity refers to the average vibration intensity of each component of the mechanical system, and the equipment voltage refers to the power supply voltage of the electrical system.

[0080] It should be added that the light intensity at each environmental monitoring point in the working area can be measured in real time by deploying photometers or light sensors, the magnetic field intensity meter can be used to measure the magnetic field strength around the equipment, and the particle counter or dust particle counter can be used to monitor the concentration of suspended particulate matter in the air.

[0081] It should be added that the laser power can be obtained in real time through the built-in power monitoring sensor of the laser, the laser wavelength can be measured by using a spectrum analyzer or wavelength meter, the pulse energy can be measured using an energy meter, the vibration intensity of the equipment can be monitored using an accelerometer or vibration sensor, and the equipment voltage can be measured using a voltmeter or power monitoring instrument.

[0082] It needs to be explained that the fluctuation of light intensity may interfere with the optical sensors in the laser processing process and affect the processing accuracy. Excessive direct light may cause the optical system to overheat and affect the stability of the laser output. High suspended particle concentration will increase the contamination on the optical components, reduce the beam quality and processing accuracy. At the same time, particles may be deposited inside the equipment, affecting the heat dissipation efficiency and the operation of mechanical parts. Electromagnetic interference may cause misoperation of the control system and affect the stability of the processing parameters. Strong electromagnetic fields may damage electronic components and increase the failure rate of equipment. The stability of laser power directly affects the processing effect, and power fluctuations may cause uneven processing depth and width. Changes in laser wavelength may affect the material's absorption rate of laser, thereby affecting processing efficiency and quality. The stability of pulse energy is crucial to processing accuracy, and instability may lead to processing defects. Mechanical vibration affects processing accuracy and repeatability, and strong vibration may cause equipment damage. Voltage fluctuations may cause unstable laser performance, affect processing results, and may even damage electronic components.

[0083] The critical laser intensity, critical temperature, critical suspended particle concentration, critical magnetic field interference intensity, preset laser power, preset laser wavelength, rated voltage, critical vibration intensity, allowable deviation laser power, allowable deviation laser wavelength and allowable deviation voltage are extracted from the laser processing system database.

[0084] Based on the processing environment data and the basic equipment data, a comprehensive analysis is performed to obtain a processing equipment stability evaluation index, which is used to quantitatively evaluate the stability of the processing equipment during the processing and provide a basis for analyzing the processing efficiency of the equipment.

[0085] In a specific embodiment, the numerical expression of the processing equipment stability evaluation index is: ; in, ; In the formula, represents the stability evaluation index of processing equipment, e represents the natural constant, represents the actual laser power at the sth time monitoring point, s represents the number of each time monitoring point, , h represents the total number of time monitoring points, represents the actual laser wavelength at the s-th time monitoring point, represents the actual pulse energy at the sth time monitoring point, Indicates the vibration intensity of the equipment at the sth time monitoring point, represents the device voltage at the sth time monitoring point, Indicates the preset laser power. Indicates the preset laser wavelength, Indicates the rated voltage, represents the critical vibration intensity, Indicates the allowable deviation of laser power, Indicates the allowable deviation of laser wavelength, Indicates the allowable deviation voltage, Indicates the interference value of the processing environment, Indicates the characteristic factor affecting the stability of the processing equipment corresponding to the preset processing environment interference value, represents the laser intensity of the i-th environmental monitoring point in the blowing air flow field at time t, represents the concentration of suspended particulate matter at the i-th environmental monitoring point in the blowing air flow field at time t, represents the magnetic field interference intensity of the i-th environmental monitoring point in the blowing air flow field at time t, represents the temperature of the i-th environmental monitoring point in the blowing air flow field at time t, t represents the time variable, , Indicates the current time point. Indicates the monitoring start time point, i indicates the number of each environmental monitoring point, , m represents the total number of environmental monitoring points, represents the critical laser intensity, represents the critical suspended particulate matter concentration, represents the critical magnetic field interference intensity, Indicates the influence factor of the device stability corresponding to the preset laser power, Indicates the influence factor of the device stability corresponding to the preset laser wavelength, Indicates the influence factor of the device stability corresponding to the preset pulse energy, Indicates the equipment stability influence factor corresponding to the preset equipment vibration intensity. Indicates the device stability impact factor corresponding to the preset device voltage. Indicates the processing environment influence factor corresponding to the preset laser intensity. Indicates the processing environment impact factor corresponding to the preset suspended particulate matter concentration. Indicates the processing environment influence factor corresponding to the preset magnetic field interference intensity. Indicates the processing environment influence factor corresponding to the preset temperature.

[0086] It needs to be explained that when the laser intensity is greater, the concentration of suspended particles is greater, the temperature is higher, and the magnetic field interference intensity is greater, the corresponding processing environment interference value is also greater, indicating that the degree of interference of the processing environment on the stability of the equipment is higher.

[0087] It needs to be explained that when the absolute difference between the laser power and the reference standard value is greater, the absolute difference between the laser wavelength and the reference standard value is greater, the pulse energy fluctuation is greater, the equipment vibration intensity is greater, the absolute difference between the equipment voltage and the reference standard value is greater, and the processing environment interference value is greater, the processing equipment stability evaluation index is smaller, indicating that the stability of the processing equipment during the processing is lower.

[0088] It needs to be explained that Indicates the influence factor of the device stability corresponding to the preset laser power, Indicates the influence factor of the device stability corresponding to the preset laser wavelength, Indicates the influence factor of the device stability corresponding to the preset pulse energy, Indicates the equipment stability influence factor corresponding to the preset equipment vibration intensity. The device stability influence factor corresponding to the preset device voltage represents the numerical value of the influence of the laser power, laser wavelength, pulse energy, device vibration intensity and device voltage unit value on the device stability. When used, it can be directly obtained from the laser processing system database, and its corresponding relationship can be a pre-set mapping relationship. For example, the laser power, laser wavelength, pulse energy, device vibration intensity and device voltage respectively form a mapping set with the device stability influence factors corresponding to the preset laser power, laser wavelength, pulse energy, device vibration intensity and device voltage in the laser processing system database, and the real-time laser power, laser wavelength, pulse energy, device vibration intensity and device voltage are input into the mapping set to obtain the corresponding device stability influence factor, wherein the mapping relationship can be one-to-one or many-to-one. The above influence factors are all extracted from the laser processing system database, and the value range is between 0 and 1.

[0089] It needs to be explained that Indicates the processing environment influence factor corresponding to the preset laser intensity. Indicates the processing environment impact factor corresponding to the preset suspended particulate matter concentration. Indicates the processing environment influence factor corresponding to the preset magnetic field interference intensity. The processing environment influence factor corresponding to the preset temperature represents the influence degree of the laser intensity, suspended particle concentration, magnetic field interference intensity and temperature unit value on the processing environment. When used, it can be directly obtained from the laser processing system database, and its corresponding relationship can be a pre-set mapping relationship. For example, the laser intensity, suspended particle concentration, magnetic field interference intensity and temperature are respectively mapped with the processing environment influence factors corresponding to the laser intensity, suspended particle concentration, magnetic field interference intensity and temperature preset in the laser processing system database to form a mapping set, and the real-time laser intensity, suspended particle concentration, magnetic field interference intensity and temperature are input into the mapping set to obtain the corresponding processing environment influence factor, wherein the mapping relationship can be one-to-one or many-to-one. The above influence factors are all extracted from the laser processing system database, and the value range is between 0 and 1.

[0090] It needs to be explained that The processing equipment stability influence characteristic factor corresponding to the preset processing environment interference value, which indicates the influence degree of the processing environment interference value unit value on the processing equipment stability, can be directly obtained from the laser processing system database when used, and its corresponding relationship can be a preset mapping relationship, for example, the processing environment interference value and the processing equipment stability influence characteristic factor corresponding to the preset processing environment interference value in the laser processing system database form a mapping set, and the real-time processing environment interference value is input into the mapping set to obtain the corresponding processing equipment stability influence characteristic factor, wherein the mapping relationship can be one-to-one or many-to-one. The value range of the influence characteristic factor is between 0 and 1.

[0091] It needs to be explained that the laser power is determined by the energy of a single pulse and the pulse repetition frequency. Increasing the pulse energy can improve the processing capacity of a single pulse, while a high pulse repetition frequency can increase the processing speed. The vibration intensity of the equipment directly affects the processing accuracy. The smaller the vibration, the higher the processing quality. A stable voltage supply is the basis for maintaining the stability of the laser power and pulse energy. The lower the interference level of the processing environment, the more stable the equipment. All these parameters affect each other and jointly determine the overall stability of the laser processing equipment. For example, if the voltage is unstable, it may cause fluctuations in laser power and pulse energy, which in turn affects the processing quality. Similarly, if the equipment vibrates strongly, the processing accuracy will be affected even if the laser parameters are stable.

[0092] It should be explained that in this embodiment, by comprehensively analyzing laser power, laser wavelength, pulse energy, equipment vibration intensity and equipment voltage, as well as the degree of interference in the processing environment, a more comprehensive and accurate assessment of the relationship with equipment stability can be made, providing a corresponding basis for taking appropriate environmental control measures, power protection, and equipment maintenance, thereby helping to minimize the impact of environmental factors on equipment stability, which is beneficial to improving processing quality and efficiency.

[0093] Furthermore, risk warning is given to the equipment based on the processing equipment stability assessment index. The specific process is: extracting the processing equipment stability assessment parameter from the laser processing system database, comparing the processing equipment stability assessment index with the processing equipment stability assessment parameter; if the processing equipment stability assessment index is higher than or equal to the processing equipment stability assessment parameter, the processing equipment stability is assessed as qualified; if the processing equipment stability assessment index is lower than the processing equipment stability assessment parameter, the processing equipment stability is assessed as unqualified, and a risk warning is given to the unqualified processing equipment.

[0094] For example, the process of risk warning for unqualified processing equipment can be that once the stability of the processing equipment is found to be unqualified, the system immediately activates the warning mechanism, the indicator light on the equipment control panel turns red and an audible alarm sounds, and at the same time, the system automatically sends an email or text message to the maintenance team and management personnel. Based on the received warning information, the maintenance team immediately initiates the emergency response procedure, inspects and repairs the equipment, and records the cause of the failure and the treatment process. The system automatically records the warning time, cause, treatment process and results. The maintenance team submits a detailed failure report and analysis and updates the maintenance log. Management adjusts the preventive maintenance plan based on the report to avoid similar problems in the future.

[0095] S3. Process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and according to the processing equipment stability evaluation index, comprehensively analyze to obtain the slag removal air blowing parameter adjustment demand evaluation index, and adjust the slag removal air blowing parameters according to the slag removal air blowing parameter adjustment demand evaluation index.

[0096] Specifically, the processing data is processed to obtain the slag removal energy efficiency evaluation value of the processing equipment. The specific process is as follows: the processing data includes: slag removal and air blowing process data and processing speed.

[0097] The slag removal and air blowing process data include the slag removal speed of the equipment during the processing cycle, the amount of residue blown away, and the amount of residue remaining in the processing area.

[0098] It should be added that the slag removal speed refers to the speed of removing molten material or residue generated by cutting from the processing area during laser processing. The faster the slag removal speed, the faster the residue is removed during processing, thereby reducing the impact of the residue on the processing process and improving processing efficiency and product quality. A speed sensor or timer can be used to measure the amount of residue discharged by the slag removal system within a certain period of time, and the slag removal speed is obtained by dividing the amount of residue by the measurement time. The amount of residue blown away refers to the total amount of residue removed from the processing area by blowing within a certain processing time. The larger the amount of residue blown away, the more residue is removed by the slag removal system per unit time. The collection container can be weighed before and after slag removal, and the amount of residue blown away can be calculated by the weight difference. The amount of residue residue remaining in the processing area refers to the amount of residue that has not been removed in the processing area after the laser processing cycle ends. The residue residue may affect the dimensional accuracy, surface finish and subsequent processing steps of the product. Ideally, the amount of residue residue should be as low as possible. Automated detection equipment, such as 3D scanners or machine vision systems, can be used to detect the amount of residue residue in each blowing area.

[0099] The processing area is divided into several blowing areas, each of which is marked as a blowing area, and the amount of residue remaining in each blowing area is collected.

[0100] The critical values ​​of slag removal speed, residue blowing amount and residue remaining amount are extracted from the laser processing system database.

[0101] According to the slag removal and blowing process data, the slag removal energy efficiency evaluation value of the processing equipment is processed and obtained. The slag removal energy efficiency evaluation value of the processing equipment is used to quantitatively evaluate the slag removal energy efficiency of the processing equipment and provide a basis for evaluating the adjustment requirements of the slag removal and blowing parameters.

[0102] In a specific embodiment, the numerical expression of the slag discharge energy efficiency evaluation value of the processing equipment is: ; In the formula, represents the slag removal energy efficiency evaluation value of the processing equipment, e represents the natural constant, Indicates the slag discharge speed of the equipment during the processing cycle. Indicates the amount of residue blown off by the equipment during the processing cycle. It indicates the residue amount in the nth blowing area, where n indicates the number of each blowing area. , r represents the total number of blowing areas, Indicates the critical value of slag discharge speed, Indicates the critical value of residue removal, Indicates the critical value of residue residue, Indicates the characteristic factor affecting the slag discharge energy efficiency of the processing equipment corresponding to the preset slag discharge speed, Indicates the characteristic factor affecting the slag removal energy efficiency of the processing equipment corresponding to the preset slag removal amount, It represents the characteristic factor affecting the slag discharge energy efficiency of the processing equipment corresponding to the preset slag residue amount.

[0103] It needs to be explained that the faster the slag removal speed of the equipment, the larger the slag removal amount of the equipment, and the smaller the residual slag in the blowing area, the greater the corresponding slag removal energy efficiency evaluation value of the processing equipment, indicating that the slag removal energy efficiency of the processing equipment is higher.

[0104] It should be explained that in this embodiment Indicates the characteristic factor affecting the slag discharge energy efficiency of the processing equipment corresponding to the preset slag discharge speed, Indicates the characteristic factor affecting the slag removal energy efficiency of the processing equipment corresponding to the preset slag removal amount, The characteristic factors affecting the slag removal energy efficiency of the processing equipment corresponding to the preset slag residue amount respectively represent the numerical values ​​of the influence of the slag removal speed, the slag blowing amount and the slag residue unit value on the slag removal energy efficiency of the equipment. When used, they can be directly obtained from the laser processing system database, and the corresponding relationship can be a pre-set mapping relationship. For example, the slag removal speed, the slag blowing amount and the slag residue amount are respectively mapped with the characteristic factors affecting the slag removal energy efficiency of the processing equipment corresponding to the preset slag removal speed, the slag blowing amount and the residue residue in the laser processing system database to form a mapping set, and the real-time slag removal speed, the residue blowing amount and the residue residue amount are input into the mapping set to obtain the corresponding characteristic factors affecting the slag removal energy efficiency of the processing equipment, wherein the mapping relationship can be one-to-one or many-to-one. The value range of the above-mentioned influencing characteristic factors is between 0 and 1.

[0105] It should be explained that a fast slag removal speed can reduce the amount of residue blown away, because the residue is quickly removed and is not easy to accumulate. If the slag removal speed is insufficient, it may lead to an increase in the amount of residue left in the processing area, affecting the processing quality. Improving the efficiency of the slag removal system, that is, increasing the amount of residue blown away, can reduce the amount of residue left in the processing area, thereby improving the overall quality of the product. The speed of the slag removal speed directly reflects the immediate response capability of the slag removal system. A higher slag removal speed means that the system can quickly remove the residue generated during the processing process, thereby improving the slag removal efficiency. By real-time monitoring and adjusting the slag removal speed, it can be ensured that during the material processing, especially at high-speed processing, the residue will not accumulate and keep the processing area clean. The amount of residue blown away can help determine whether the pressure, flow rate and direction of the air blow are appropriate. By optimizing these parameters, the residue removal efficiency can be maximized and interference with the processing process can be reduced. At the same time, reducing the amount of residue residue can avoid processing defects caused by residues, such as surface roughness and dimensional errors. By reducing the amount of residue residue, the product qualification rate and processing accuracy can be improved, and subsequent cleaning and finishing work can be reduced. An effective slag removal and air blowing system can reduce carbon deposits and pollution inside the equipment, extend the service life of the equipment, and reduce maintenance costs. Regular evaluation of these parameters can help predict maintenance needs, thereby achieving preventive maintenance and avoiding sudden failures. Downtime caused by slag removal problems can be reduced, and the continuous operation time of the production line can be increased, thereby improving overall productivity. Real-time monitoring of these parameters also provides feedback for the processing process, allowing operators to adjust processing parameters in time to adapt to different materials and processing conditions. Optimizing slag removal and air blowing efficiency can also reduce unnecessary processing interruptions and maintain the continuity of the processing process.

[0106] It should be explained that this embodiment can make the evaluation of the slag removal efficiency of the equipment more comprehensive and accurate by comprehensively analyzing the slag removal speed, residue blowing amount and residue remaining amount. The accurate equipment slag removal efficiency can more reasonably guide the optimization adjustment of the slag removal blowing parameters. By optimizing the slag removal blowing parameters, the laser processing efficiency can be significantly improved, the processing defects can be reduced, the product consistency can be improved, and the maintenance cost and production cycle can be reduced at the same time, thereby enhancing the market competitiveness of the enterprise and promoting sustainable development.

[0107] Furthermore, comprehensive analysis is performed to obtain evaluation indicators for adjusting the slag removal and blowing parameters. The specific analysis process is as follows: the critical processing speed is extracted from the laser processing system database.

[0108] According to the slag removal energy efficiency evaluation value of the processing equipment, the processing equipment stability evaluation index and the processing speed, a comprehensive analysis is conducted to obtain the slag removal air blowing parameter adjustment demand evaluation index, which is used to quantitatively evaluate the degree of need for the equipment to adjust the slag removal air blowing parameters, and provide a basis for parameter adjustment.

[0109] It should be added that the processing speed refers to the ratio between the drilling depth and the drilling time.

[0110] In a specific embodiment, the numerical expression of the slag removal and blowing parameter adjustment demand evaluation index is: ; In the formula, represents the evaluation index of the adjustment demand of slag blowing parameters, e represents the natural constant, represents the stability evaluation index of processing equipment, It represents the slag discharge energy efficiency evaluation value of the processing equipment. Indicates the processing speed, represents the critical processing speed, Indicates the influence factor of the slag discharge and blowing parameter adjustment demand corresponding to the preset processing equipment stability evaluation index, Indicates the influencing factor of the slag removal and blowing parameter adjustment requirements corresponding to the preset processing speed. It represents the influencing factor of the slag discharge blowing parameter adjustment demand corresponding to the preset processing equipment slag discharge energy efficiency evaluation value.

[0111] It needs to be explained that when the stability evaluation index of the processing equipment is larger, the slag removal energy efficiency evaluation value of the processing equipment is larger, and the processing speed is faster, the corresponding slag removal and blowing parameter adjustment demand evaluation index is smaller, indicating that the degree of need for the processing equipment to adjust the slag removal and blowing parameters is lower.

[0112] It should be explained that in this embodiment Indicates the influence factor of the slag discharge and blowing parameter adjustment demand corresponding to the preset processing equipment stability evaluation index, Indicates the influencing factor of the slag removal and blowing parameter adjustment requirements corresponding to the preset processing speed. The influencing factors of the slag blowing parameter adjustment requirements corresponding to the preset processing equipment slag removal energy efficiency evaluation values ​​respectively represent the numerical values ​​of the degree of influence of the processing equipment stability evaluation index, processing speed and processing equipment slag removal energy efficiency evaluation value unit values ​​on the slag blowing parameter adjustment requirements. When used, they can be directly obtained from the laser processing system database, and the corresponding relationship can be a pre-set mapping relationship. For example, the processing equipment stability evaluation index, processing speed and processing equipment slag removal energy efficiency evaluation value are respectively mapped with the slag blowing parameter adjustment requirement influencing factors corresponding to the processing equipment stability evaluation index, processing speed and processing equipment slag removal energy efficiency evaluation value preset in the laser processing system database to form a mapping set. The real-time processing equipment stability evaluation index, processing speed and processing equipment slag removal energy efficiency evaluation value are input into the mapping set to obtain the corresponding slag blowing parameter adjustment requirement influencing factors, wherein the mapping relationship can be one-to-one or many-to-one. The above-mentioned influencing factors all have a value range of 0 to 1.

[0113] It should be explained that when the processing equipment runs stably, the processing parameters can be controlled more accurately, thereby improving the efficiency of the slag removal system. Stable equipment can ensure that the blowing or slag removal system works evenly and avoids poor slag removal caused by equipment vibration or position deviation. If the equipment has poor stability, it may cause inaccurate processing position, affect the normal operation of the slag removal system, and reduce slag removal efficiency. Stable equipment can support higher processing speeds because they can maintain accurate processing trajectories and parameters, and will not cause processing quality to decline due to increased speed. An efficient slag removal system can quickly remove waste generated during the processing, thereby allowing the processing speed to be increased. This is because waste accumulation will hinder the processing process, reduce processing speed and accuracy. If the slag removal efficiency is low, the processing speed cannot be too fast, otherwise the accumulation of waste will interfere with the processing process, affect the processing quality, and may even damage the tool or laser head.

[0114] It should be explained that this embodiment helps to accurately determine whether it is necessary to adjust the slag discharge blowing parameters by comprehensively analyzing the stability of the processing equipment, the slag discharge efficiency and the processing speed, and realizes the optimization and adjustment of the slag discharge blowing parameters, which is conducive to achieving a more efficient processing process, helping to improve product quality, reduce equipment maintenance costs, and improve the overall production efficiency of the processing equipment. By monitoring the stability of the processing equipment, problems such as equipment vibration or reduced processing quality caused by poor slag discharge can be discovered in a timely manner. This helps to determine whether it is necessary to adjust the slag discharge blowing parameters to improve the slag discharge effect. Analysis of slag discharge efficiency can reveal whether the current blowing parameters are effective enough. If it is found that the residue accumulates too much or the slag discharge speed is slow, it indicates that the blowing parameters need to be adjusted to improve efficiency. The increase in processing speed often requires a more efficient slag discharge system. Through comprehensive analysis, it can be determined whether the current slag discharge blowing parameters support a higher processing speed. If not, they need to be adjusted accordingly. Stable equipment operation and efficient slag discharge can reduce equipment wear caused by residues. If the analysis shows that the equipment stability is reduced or the slag discharge efficiency is not high, adjusting the blowing parameters can prevent potential equipment damage. The improvement of processing quality depends on a good slag discharge system. By analyzing the parameters, you can ensure that the blowing parameters are optimized, thereby reducing processing defects and improving product consistency and quality. The correct deslagging blowing parameters can reduce the frequency and cost of equipment maintenance. Analyzing these parameters helps to make adjustments before problems become serious and avoid expensive repairs. By analyzing these parameters, you can also quickly respond to changes in different materials or processing conditions, adjust the deslagging blowing parameters, and enhance the flexibility and adaptability of the production line.

[0115] Specifically, the slag removal blowing parameters are adjusted according to the slag removal blowing parameter adjustment demand evaluation index. The specific adjustment process is: extract the slag removal blowing parameter adjustment demand evaluation index threshold from the laser processing system database, and compare the slag removal blowing parameter adjustment demand evaluation index with the slag removal blowing parameter adjustment demand evaluation index threshold. If the slag removal blowing parameter adjustment demand evaluation index is higher than or equal to the slag removal blowing parameter adjustment demand evaluation index threshold, the slag removal blowing parameters need to be adjusted; if the slag removal blowing parameter adjustment demand evaluation index is lower than the slag removal blowing parameter adjustment demand evaluation index threshold, the preset slag removal blowing parameters are maintained for processing.

[0116] Furthermore, the slag removal blowing parameters are adjusted. The specific adjustment process is: subtract the slag removal blowing parameter adjustment demand evaluation index that is higher than or equal to the slag removal blowing parameter adjustment demand evaluation index threshold from the slag removal blowing parameter adjustment demand evaluation index threshold to obtain the estimated demand adjustment parameter.

[0117] A mapping set between the expected demand adjustment parameters and the slag removal blowing parameter adjustment values ​​is extracted from the laser processing system database. The slag removal blowing parameter adjustment values ​​are matched according to the mapping set. According to the slag removal blowing parameter adjustment values, the corresponding blowing time is extended and the corresponding gas flow rate is increased. At the same time, for the swirl nozzle with a protruding structure, the height and spiral angle of the protruding structure can be increased. For the swirl nozzle with non-radial air inlet, the size and deflection angle of the air inlet can be increased.

[0118] It should be added that for the swirl nozzle with a protruding structure, increasing the height of the protruding structure can make the gas produce greater disturbance when flowing through the protruding structure, thereby enhancing the force on the residue, and increasing the spiral angle can make the spiral motion of the airflow more intense, thereby increasing the energy of the airflow and the ability to carry residue. For example, the height of the protruding structure can be increased from the initial 0.4mm to 0.6mm, and the spiral angle can be adjusted from 30° to 45°.

[0119] It should be added that for swirl nozzles with non-radial air inlet, increasing the size of the air inlet can increase the air intake volume, improve the flow rate and energy of the air flow, and adjusting the deflection angle can make the air flow form a stronger spiral flow in the nozzle, thereby enhancing the discharge effect of the residue. For example, the diameter of the air inlet is enlarged from 6mm to 8mm, and the circumferential deflection angle is increased from 20° to 30°, thereby improving the slag discharge effect, but it should be noted that the adjustment range should be within the adjustment range value corresponding to the adjustment value of the slag discharge blowing parameter.

[0120] Reference Figure 2 As shown, the second aspect of the present invention provides a cyclonic air blowing system for ultrafast laser processing, including: a data acquisition and preprocessing module, a data processing and risk warning module, and a comprehensive analysis and feedback module.

[0121] The data acquisition and preprocessing module is used to obtain laser processing data, including preprocessing data, processing environment data, basic equipment data and processing process data, and obtain preset slag removal and blowing parameters according to the preprocessing data.

[0122] The data processing and risk warning module is used to process the processing environment data and the basic equipment data to obtain the processing equipment stability evaluation index, and to issue risk warnings to the equipment based on the processing equipment stability evaluation index.

[0123] The comprehensive analysis and feedback module is used to process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and to obtain the slag removal blowing parameter adjustment demand evaluation index through comprehensive analysis based on the processing equipment stability evaluation index, and to adjust the slag removal blowing parameters based on the slag removal blowing parameter adjustment demand evaluation index.

[0124] In a specific embodiment, the laser processing system database is used to store relevant parameters in the process of analyzing whether the slag removal and blowing parameters need to be adjusted, including: critical material thickness, critical hole diameter, critical laser power, critical laser head movement speed, and a mapping set between the expected required adjustment parameters and the slag removal and blowing parameter adjustment values, as well as the data extracted from the laser processing system database in the above embodiment. The equipment control system can be used to control the processing process, and the processing parameters and equipment status data can be extracted from the equipment control system. Specialized data recording software can also be used to collect and analyze data during the processing process. These software are usually compatible with laser processing equipment and can automatically record operation data. Data can also be extracted from past production records and processing logs. These data can be used to analyze trends and patterns to help optimize slag removal and blowing parameters.

[0125] Reference Figure 3-Figure 9 As shown, the third aspect of the present invention provides a swirl-type air blowing device for ultrafast laser processing, comprising: a swirl-type nozzle with a protruding structure and a swirl-type nozzle with non-radial air inlet.

[0126] The swirl nozzle with a protruding structure comprises a convergent nozzle and a protruding structure (vortex generator) on the inner wall surface.

[0127] Among them, the convergent nozzle adopts a tapered pipe design, with the cross-section gradually decreasing from the inlet to the outlet.

[0128] The raised structures are arranged in a spiral form on the inner wall of the nozzle to induce the gas to form a spiral flow.

[0129] The non-radial air inlet swirl nozzle is used to adjust the orientation of the air inlet to change the direction of the inlet airflow, thereby changing the flow in the nozzle from a simple axial flow to a spiral flow.

[0130] It should be explained that the swirl nozzle with a convex structure is a nozzle with a spiral convex structure introduced on the inner wall surface of a general convergent nozzle. The spiral surface of the convex structure changes the shape of the flow path in the nozzle, and changes the original flow along the axial direction of the nozzle into a spiral flow along the spiral flow path formed by the convex structure in the tube. Figure 4 An example of a raised structure used in a local area of ​​a nozzle is Figure 6 By introducing the convex structure, the high-pressure and high-speed fluid can still maintain a spiral flow after exiting the nozzle, thereby affecting the shock wave structure and flow characteristics of the downstream flow field.

[0131] It should be explained that the non-radial air intake swirl nozzle generates a spiral flow by introducing a non-radial air intake structure; the air intake duct of this structure is as follows: Figure 5 , Figure 7 and Figure 8 The nozzle is arranged at the inlet in the form of Figure 7 The deflection of the particles (as shown) and the mutual interference produce a spiral flow at the nozzle inlet. After passing through the nozzle, the spiral flow continues to develop downstream and affects the shock waves in the subsequent flow field.

[0132] It should be added that the working principle of the swirl nozzle with a protrusion structure is that in the swirl nozzle with a protrusion structure, the protrusion structure forms a spiral flow guide structure on the inner wall surface, so that the fluid produces a component velocity perpendicular to the axial direction, thereby converting the movement of the gas in the nozzle into a spiral flow. Figure 5 In the application example, the vortex generator, which acts as a raised structure, rotates 30° with the axis perpendicular to the mainstream direction. Due to the inclination of the vortex generator and the different heights of the front and rear of the vortex generator, a vortex is generated when the mainstream flows through the vortex generator. The vortex gradually develops downstream with the mainstream and affects the flow field outside the downstream nozzle.

[0133] It should be added that the working principle of the non-radial air inlet swirl nozzle is that in the non-radial air inlet swirl nozzle, since the air inlet is deflected in the circumferential and axial directions of the nozzle, the collision of different inlet fluids is avoided while giving the fluid a certain axial component velocity, and the high-pressure fluid generates a spiral flow at the nozzle inlet; the inlet fluid flows through the nozzle, maintaining the spiral flow and developing downstream.

[0134] It should be added that the working process of the swirl nozzle with a protruding structure is that when the high-pressure incoming flow flows through the protruding structure (vortex generator), a spiral flow is formed under the induction of its profile, and the spiral flow develops to the downstream and flows out of the nozzle; the spiral flow changes the flow characteristics inside and outside the nozzle outlet, so the flow field before and after the shock wave outside the nozzle also changes, resulting in a change in the total pressure before and after the shock wave, and the shock wave structure also changes accordingly, thereby changing the flow velocity and vortex structure of the fluid in the deep micropores, so as to improve the processing efficiency of auxiliary air blowing and slag removal during ultrafast laser processing of deep micropores. In a non-radial air intake swirl nozzle, by adjusting the air intake direction of the air intake structure, a spiral flow is generated at the nozzle inlet, and then the spiral flow develops downstream and affects the downstream flow field. Its working principle is the same as that of the swirl nozzle with a protruding structure.

[0135] It should be explained that the swirl nozzle with a protrusion structure described in this embodiment, by introducing a protrusion structure (vortex generator) on the inner wall of the nozzle, the spiral flow channel formed by the protrusion structure can induce the gas to form a spiral flow, and develop downstream, affecting the downstream flow field, thereby changing the shock wave structure outside the nozzle and the flow field near the deep micropore, changing the flow characteristics of the fluid in the deep micropore, which is conducive to improving the flow velocity of the fluid in the deep micropore, so as to facilitate the discharge of metal residues in the deep micropore. The non-radial air intake swirl nozzle, by setting a non-radial air intake structure at the nozzle inlet, can make the high-pressure gas generate a spiral flow at the nozzle inlet, and then flow through the nozzle to develop downstream, changing the flow characteristics of the gas in the deep micropore, and increasing the flow velocity of the gas in the deep micropore, so as to facilitate the auxiliary discharge of metal residues in the deep micropore. At the same time, by accurately adjusting the slag discharge blowing parameters, the effective discharge of metal residues in the deep micropores can be further achieved, thereby improving the processing efficiency of the equipment.

[0136] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A cyclonic blowing method for ultrafast laser processing, characterized in that: include: S1. Obtain laser processing data, including pre-processing data, processing environment data, basic equipment data and processing data, and obtain preset slag removal and blowing parameters according to the pre-processing data; S2. Process the processing environment data and basic equipment data to obtain a processing equipment stability evaluation index, and issue a risk warning to the equipment based on the processing equipment stability evaluation index; S3. Process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and according to the processing equipment stability evaluation index, comprehensively analyze to obtain the slag removal air blowing parameter adjustment demand evaluation index, and adjust the slag removal air blowing parameters according to the slag removal air blowing parameter adjustment demand evaluation index.

2. A cyclonic air blowing method for ultrafast laser processing according to claim 1, characterized in that: The preset slag removal and blowing parameters are obtained by matching the pre-processing data, and the specific process is as follows: The pre-processing data includes processing material characteristics and laser equipment characteristics; Among them, the processing material characteristics include the thickness of the material to be processed, the area of ​​the material to be processed, the melting point of the metal to be processed and the diameter of the pre-drilled hole; Laser equipment characteristics include laser power, laser beam diameter, and laser class; According to the laser category matching, the influence factor of the estimated setting value of the slag removal and blowing parameters corresponding to the laser category is obtained; Extract critical material thickness, critical material area, critical metal melting point, critical hole diameter, critical laser beam diameter and critical laser power from the laser processing system database; According to the pre-processing data, the estimated setting value of the slag removal and blowing parameters is obtained through comprehensive processing. The estimated setting value of the slag removal and blowing parameters is used to quantitatively evaluate the influence of the setting of the slag removal and blowing parameters, and provide a basis for matching the preset slag removal and blowing parameters; According to the predicted setting values ​​of the slag removal blowing parameters, the preset slag removal blowing parameters are matched to obtain the preset slag removal blowing parameters, wherein the preset slag removal blowing parameters include blowing time, gas flow rate and blowing nozzle structure parameters; The structural parameters of the blowing nozzle include the height and spiral angle of the protruding structure of the swirl nozzle with a protruding structure, and the air inlet angle and deflection angle of the swirl nozzle with non-radial air inlet.

3. A cyclonic air blowing method for ultrafast laser processing according to claim 1, characterized in that: The processing environment data and basic equipment data are processed to obtain the processing equipment stability evaluation index, and the specific process is as follows: The processing environment data include: laser intensity, temperature, suspended particle concentration and magnetic field interference intensity at each environmental monitoring point of the blowing air flow field during the processing cycle; The basic data of the equipment include: actual laser power, actual laser wavelength, actual pulse energy, equipment vibration intensity and equipment voltage at each time monitoring point during the processing cycle; Extract the critical laser intensity, critical temperature, critical suspended particle concentration, critical magnetic field interference intensity, preset laser power, preset laser wavelength, rated voltage, critical vibration intensity, allowable deviation laser power, allowable deviation laser wavelength and allowable deviation voltage from the laser processing system database; Based on the processing environment data and the basic equipment data, a comprehensive analysis is performed to obtain a processing equipment stability evaluation index, which is used to quantitatively evaluate the stability of the processing equipment during the processing and provide a basis for analyzing the processing efficiency of the equipment.

4. A cyclonic blowing method for ultrafast laser processing according to claim 3, characterized in that: The specific process of carrying out risk warning for equipment according to the stability evaluation index of processing equipment is as follows: The processing equipment stability assessment parameters are extracted from the laser processing system database, and the processing equipment stability assessment index is compared with the processing equipment stability assessment parameters. If the processing equipment stability assessment index is higher than or equal to the processing equipment stability assessment parameters, the processing equipment stability assessment is qualified; if the processing equipment stability assessment index is lower than the processing equipment stability assessment parameters, the processing equipment stability assessment is unqualified, and a risk warning is issued for the unqualified processing equipment.

5. The cyclonic air blowing method for ultrafast laser processing according to claim 1, characterized in that: The processing data of the processing is processed to obtain the slag discharge energy efficiency evaluation value of the processing equipment, and the specific process is as follows: The processing data include: slag removal and air blowing process data and processing speed; The slag removal and air blowing process data include the slag removal speed of the equipment during the processing cycle, the amount of residue blown away, and the amount of residue remaining in the processing area; Divide the processing area into several blowing areas, mark each blowing area, and collect the residue amount in each blowing area; The critical values ​​of slag removal speed, residue blowing amount and residue remaining amount are extracted from the laser processing system database; According to the slag removal and blowing process data, the slag removal energy efficiency evaluation value of the processing equipment is processed and obtained. The slag removal energy efficiency evaluation value of the processing equipment is used to quantitatively evaluate the slag removal energy efficiency of the processing equipment and provide a basis for evaluating the adjustment requirements of the slag removal and blowing parameters.

6. A cyclonic air blowing method for ultrafast laser processing according to claim 5, characterized in that: The comprehensive analysis obtains the evaluation index of the slag discharge and air blowing parameter adjustment demand, and the specific analysis process is as follows: The critical processing speed is extracted from the laser processing system database; According to the slag removal energy efficiency evaluation value of the processing equipment, the processing equipment stability evaluation index and the processing speed, a comprehensive analysis is conducted to obtain the slag removal air blowing parameter adjustment demand evaluation index, which is used to quantitatively evaluate the degree of need for the equipment to adjust the slag removal air blowing parameters, and provide a basis for parameter adjustment.

7. A cyclonic air blowing method for ultrafast laser processing according to claim 6, characterized in that: The slag removal and blowing parameters are adjusted according to the slag removal and blowing parameter adjustment demand evaluation index, and the specific adjustment process is as follows: The slag removal blowing parameter adjustment demand evaluation index threshold is extracted from the laser processing system database, and the slag removal blowing parameter adjustment demand evaluation index is compared with the slag removal blowing parameter adjustment demand evaluation index threshold. If the slag removal blowing parameter adjustment demand evaluation index is higher than or equal to the slag removal blowing parameter adjustment demand evaluation index threshold, the slag removal blowing parameters need to be adjusted; if the slag removal blowing parameter adjustment demand evaluation index is lower than the slag removal blowing parameter adjustment demand evaluation index threshold, the preset slag removal blowing parameters are maintained for processing.

8. A cyclonic air blowing method for ultrafast laser processing according to claim 7, characterized in that: The slag discharge and blowing parameters are adjusted, and the specific adjustment process is as follows: Subtract the slag discharge air blowing parameter adjustment demand assessment index that is greater than or equal to the slag discharge air blowing parameter adjustment demand assessment index threshold from the slag discharge air blowing parameter adjustment demand assessment index threshold to obtain an estimated demand adjustment parameter; A mapping set between the expected demand adjustment parameters and the slag removal blowing parameter adjustment values ​​is extracted from the laser processing system database. The slag removal blowing parameter adjustment values ​​are matched according to the mapping set. According to the slag removal blowing parameter adjustment values, the corresponding blowing time is extended and the corresponding gas flow rate is increased. At the same time, for the swirl nozzle with a protruding structure, the height and spiral angle of the protruding structure can be increased. For the swirl nozzle with non-radial air inlet, the size and deflection angle of the air inlet can be increased.

9. A cyclonic air blowing system for ultrafast laser processing, using a cyclonic air blowing method for ultrafast laser processing as claimed in any one of claims 1 to 8, characterized in that: include: Data collection and preprocessing module, data processing and risk warning module, and comprehensive analysis and feedback module; The data acquisition and preprocessing module is used to obtain laser processing data, including preprocessing data, processing environment data, basic equipment data and processing process data, and obtain preset slag removal and blowing parameters according to the preprocessing data; The data processing and risk warning module is used to process the processing environment data and the basic equipment data to obtain the processing equipment stability evaluation index, and to issue risk warnings to the equipment based on the processing equipment stability evaluation index; The comprehensive analysis and feedback module is used to process the processing data to obtain the slag removal energy efficiency evaluation value of the processing equipment, and to obtain the slag removal blowing parameter adjustment demand evaluation index through comprehensive analysis based on the processing equipment stability evaluation index, and to adjust the slag removal blowing parameters based on the slag removal blowing parameter adjustment demand evaluation index.

10. A cyclonic air blowing device for ultrafast laser processing, using a cyclonic air blowing method for ultrafast laser processing as claimed in any one of claims 1 to 8, characterized in that: Including: swirl nozzle with convex structure and swirl nozzle with non-radial air inlet; The swirl nozzle with a convex structure comprises a convergent nozzle and a convex structure on the inner wall surface; Among them, the convergent nozzle adopts a tapered pipe design, with the cross section gradually decreasing from the inlet to the outlet; The protrusion structure is arranged in a spiral form on the inner wall of the nozzle to induce the gas to form a spiral flow; The non-radial air inlet swirl nozzle is used to adjust the orientation of the air inlet to change the direction of the inlet airflow, thereby changing the flow in the nozzle from a simple axial flow to a spiral flow.

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