6362 results about "Laser processing" patented technology

The invention belongs to the technical field of laser processing, and particularly relates to a special-shaped curved glass laser cutting track planning method. According to the method, the instantaneous thermal effect and the historical thermal accumulation effect are subjected to coupling calculation, high-precision prediction and compensation of thermal deformation in the laser cutting process are achieved, the accuracy of the cutting track is improved, contour deviation caused by thermal deformation is avoided, and the geometric precision is improved; according to the local geometric complexity of the special-shaped curved glass, regions are divided, and differential virtual scanning layers and scanning modes are matched, so that the dynamic balance of efficiency and precision is guaranteed, the processing quality of regions with high curvature, thin walls and the like is guaranteed, the cutting speed of flat regions is increased, and the processing period is shortened; by monitoring the temperature and feeding back actual thermal historical parameters during cutting, model parameters are reversely optimized by using contour precision data after cutting is completed, so that robustness and stability are enhanced, and the yield and process reliability of laser cutting of the special-shaped curved glass are improved.

The invention discloses an on-line automatic measurement and compensation method for digital manufacturing, which comprises the following steps of: scanning the surface of a workpiece to be processed in real time through a high-precision laser scanner to obtain a three-dimensional geometric model of the workpiece; environmental parameters in the laser machining process are monitored in real time through multiple sensors; on the basis of the collected real-time geometrical morphology and environmental parameters, the processing deviation of the workpiece is calculated in real time through a data processing and analyzing module, and a compensation model is generated; according to the calculation result of the compensation model, the central control system adjusts a laser processing path and processing parameters in real time; after each time of processing, a feedback signal of each time of error is used as a basis for updating the compensation model so as to ensure that the compensation model is continuously optimized. The method has the following advantages and effects: dynamic correction and long-term optimization of machining errors can be realized by combining real-time data acquisition and an optimization compensation model technology of a deep learning algorithm, so that the machining precision and efficiency are improved.

A laser processing apparatus irradiates a target with a laser light to form a modified region along a virtual plane in the target. The laser processing apparatus includes a support portion, an irradiation portion, a movement mechanism, and a controller. The controller performs a first processing process of irradiating a first portion in the target with the laser light under a first processing condition, and a second processing process of irradiating a second portion more on an inner side than the first portion in the target with the laser light under a second processing condition different from the first processing condition, after the first processing process.

The invention relates to the technical field of intelligent laser processing path planning, and discloses a laser flight processing path planning method and device for a complex curved surface, and the method comprises the steps: obtaining the geometric continuity features of the curved surface, carrying out the region division and boundary feature extraction, obtaining the geometric features of the boundary points of each region, and obtaining the geometric features of the boundary points of each region; performing track generation based on boundary geometric features to obtain an initial processing track path, then performing heat accumulation analysis and track screening, identifying a track section needing to be adjusted, executing multi-target path scheduling optimization, and obtaining adjusted track execution feature data; processing sequence optimization is carried out based on the feature data, and an optimized processing sequence is obtained; performing thermal input analysis and parameter correction according to the processing sequence to obtain an updated processing parameter set; and finally, performing global coordination based on a simulated annealing algorithm, generating a final processing track set, completing track optimization and instruction set generation, and outputting a complete processing scheme. According to the method, the problem of insufficient track fitting degree can be solved.

A method of making a vacuum insulating panel including a first substrate, a second substrate, a plurality of spacers provided in a gap between at least the first and second substrates, and a seal provided between at least the first and second substrates, the seal comprising a first seal layer, and optionally second and / or third primer layer(s). The method may include at least one of: (i) laser heating, using a laser beam from a laser, the first seal material for firing and / or sintering the first seal material to form the first seal layer, in a manner that causes TeO4>TeO3 in the first seal material to transform into TeO3>TeO4 due to said laser heating, whereby an amount of TeO4 decreases and an amount of TeO3 increases due to said laser heating, and / or (ii) laser heating in a manner that causes V2O5>VO2 in the first seal material to transform into VO2>V2O5 due to said laser heating whereby an amount of VO2 increases and an amount of V2O5 decreases due to said laser heating, so that after said laser heating the first seal layer comprises more VO2 than V2O5 by wt. %.

The invention relates to the technical field of laser etching, and discloses a laser double-sided etching stress control method and system for a quartz crystal, and the method comprises the steps: generating a double-sided complementary etching path based on the initial stress distribution of the quartz crystal; and front and back laser energy input is synchronously controlled, so that a double-sided thermal stress field forms dynamic balance. And obtaining the stress gradient distribution of the etching area in real time based on spectral analysis. And according to the deviation value of the stress gradient and a target threshold value, a laser processing parameter combination is dynamically adjusted, and a morphology-stress coupling optimization mode is started in a final processing stage. By accurately controlling the thermal stress balance and the stress gradient distribution in the laser processing process, the residual stress of the quartz crystal can be effectively reduced, and the shape and the performance of the quartz crystal are optimized, so that the processing precision, the material stability and the device reliability are improved.

Provided is a robot posture optimization and follow-up control method and system for freeform surface repair. The system includes a worn surface reverse modeling module, a worn surface initial normal vector calculation module, an initial machining trajectory and normal vector extraction module, a normal vector rotation angle polynomial regression denoising module, a machining trajectory position and posture NURBS fitting module, a position and posture trajectory curvature adaptive segmentation module, a segmented trajectory position and posture synchronization acceleration and deceleration look-ahead module, and a robotic motion and laser process coordinated control module. The method and the system realize posture optimization and follow-up control in a cladding process of the robot, and ensures the processing quality of laser repair.

The present invention provides a method and device for controlling the heat-affected zone of a perovskite battery laser processing, the method comprising: performing multi-source data collection and calibration processing on the perovskite battery stack structure to obtain a calibration data set including temperature distribution, surface morphology and electrical characteristics; based on the calibration data set, comprehensively analyzing the area where ion thermosensitive reactions are generated to obtain the risk zoning result of the heat-affected zone; based on the risk distribution result of the heat-affected zone, differentially configuring the energy output and movement path of the laser etching to obtain a control instruction set for local etching; according to the control instruction set, executing the laser etching process to obtain an etching control scheme for managing the heat-affected zone. The method monitors and identifies heat-sensitive areas in real time based on the collection and analysis of multi-source data, controls the temperature distribution and local thermal stress during laser processing, reduces thermal damage by accurately adjusting the laser power and scanning path, and improves the long-term stability of the perovskite battery.

The invention belongs to the technical field of laser processing equipment, and particularly relates to an automatic feeding and discharging pipe laser cutting machine which comprises a cutting table, a third groove plate is slidably connected to one side of the upper end face of the cutting table, a second groove plate is slidably connected to a sliding groove of the third groove plate, and a fourth groove plate is slidably connected to a sliding groove of the second groove plate. A lifting plate is slidably connected to the four sliding grooves of the groove plate, a rotating plate is rotatably arranged on one side of the lower end face of the lifting plate, and clamping plates are slidably connected to the two sides of the rotating plate. By means of the positioning and placing mechanism and the discharging auxiliary mechanism, when plum blossom pipes are cut at equal intervals, the grooves of the cut pipes slide down along the adjusting rods, the multiple sections of cut pipes are stacked in the box body in order, automatic discharging is achieved, the storage space of the box body is reasonably utilized, and the working efficiency is improved. And further transferring and machining of the pipes are facilitated.

The invention discloses a method and a device for dynamically adjusting a focus in laser flight processing. The method comprises the following steps of: 1, acquiring a data stream; 2, according to a laser type matching recognition algorithm, recognizing the data flow to obtain a preliminary result, and filtering to obtain a current position; 3, calculating the deviation between the current position and the reference, judging whether the deviation reaches a preset threshold value or not, and if yes, recording the deviation as a compensation value; step 4, acquiring focus depth and power; the focus depth and the power are optimized according to the compensation value; 5, processing the focus depth and optimizing the power by adopting a track interpolation method to obtain an optimized path; 6, the optimized path is sent to a motion controller, and a correction position is output; 7, judging whether the deviation value between the correction position and the optimal plane is within a threshold range or not, and if yes, completing machining according to the correction position; and if not, the third step to the seventh step are executed again till machining is completed. According to the method, the problem of unstable processing quality caused by focus offset in laser processing can be effectively solved.

The invention discloses a laser processing parameter autonomous generation system and method based on digital twinning, and relates to the field of digital twinning, and the method comprises the steps: collecting and preprocessing processing data in real time through a multi-source sensor; processing and analyzing the task instruction by using a natural language, extracting a constraint condition and forming a structured demand; a processing parameter candidate set is generated through a Transform model in combination with historical data transfer learning, and virtual processing is performed by means of multi-physics field simulation; an improved non-dominated sorting genetic algorithm is adopted to dynamically optimize the parameter weight, and a global optimal parameter combination is obtained through digital twin iteration verification; and after full-process virtual processing verification and task demand comparison, parameters are adaptively corrected, and model parameters are continuously optimized according to physical and simulation data deviation after actual processing. The method has the advantages that the digital twin is used as a core, multi-source real-time data, the AI algorithm and multi-physical field simulation are fused, and autonomous generation, multi-target optimization and virtual-real closed-loop iteration of laser processing parameters are achieved.

The invention relates to the technical field of material removal in laser processing, in particular to a laser positioning stripping system and method for special-shaped neodymium iron boron waste, and the method comprises the following steps: S1, carrying out multispectral scanning on the surface of the special-shaped neodymium iron boron waste; s2, dynamically adjusting energy parameters of laser lift-off, and constructing an energy thickness matching model; s3, generating a fractal scanning path of the adaptive special-shaped surface based on the geometric contour data of the three-dimensional characteristic spectrum; s4, in-situ surface roughness detection is carried out in the laser lift-off process, a secondary finishing mode is triggered according to a detection result, and the safe lift-off allowance is dynamically corrected based on lift-off depth data; and S5, in-situ separation of the oxide layer fragments and the matrix particles is achieved through the hot air flow field in combination with the gas-solid separation dynamics principle, and matrix particle recovery is assisted and strengthened through the magnetic field. The laser energy, the scanning path and the thermal control strategy can be dynamically adjusted according to real-time data, so that material loss and waste are effectively avoided, and the processing efficiency and the recovery rate are improved.

The invention discloses a self-adaptive focal length control method and system of a laser cutting machine, particularly relates to the technical field of laser processing, and is used for solving the problem of insufficient laser focus control precision caused by separation of a detection point and a processing point and geometric mutation of a curved surface in the prior art. Instantaneous distance information is continuously obtained in the moving process of a cutting head, the curvature change characteristics of the surface of a workpiece are calculated according to the instantaneous distance information, inertial load and dynamic load risks caused by geometrical morphology sudden change are comprehensively evaluated, and a path risk section and a non-path risk section are intelligently recognized. A conservative prediction mode and a conventional prediction mode are adaptively switched according to different risk sections, the normal vector of the surface of a workpiece at a laser machining point is accurately predicted, then the posture adjustment amount of the cutting head is calculated according to the normal vector, and finally real-time and smooth posture adjustment of the cutting head in the movement process is achieved through multi-axis synchronous interpolation control. And the laser beam is always vertical to the surface of the workpiece.

The invention discloses a laser cutting method for cutting complex shapes, and particularly relates to the field of laser cutting. A three-dimensional curved surface model of a to-be-cut workpiece is obtained, and a surface normal tensor field is constructed; extracting a driving point set based on the curvature derivative and generating a sliding path network; constructing a laser power density mapping model in combination with the thermal diffusion response model and the thermophysical parameters of the material; thermal feedback images are collected in the cutting process, an energy offset function is constructed, laser focus displacement and the scanning rate are dynamically adjusted through fuzzy control, and closed-loop control over power, paths and thermal feedback is achieved; according to the method, self-adaptive adjustment of laser power distribution, curved surface adaptation of a cutting path and thermal field real-time compensation in the machining process can be achieved under a complex geometric structure, the cutting precision, stability and energy efficiency are effectively improved, and the method is suitable for laser machining application of high-requirement complex structures such as aerospace, mold manufacturing and medical instruments.

The invention discloses a laser processing method and device for a special shell, and the method comprises the steps: S1, obtaining the structural feature data of the shell through three-dimensional scanning, planning a laser processing path according to the structural feature data, and generating a processing path file; s2, starting a dust removal assembly, emitting positioning laser at the same time, measuring the optical path offset through a photoelectric detection assembly, and generating calibration parameters; s3, the light transmittance change of the light blocking assembly is controlled based on the calibration parameters, and a stable laser beam is formed by adopting a closed-loop control strategy; s4, a stable laser beam irradiates the surface of the shell along the machining path, and the irradiation position is dynamically corrected in combination with the deformation prediction model; s5, local laser strengthening is conducted on the machined key area, and meanwhile the machining path file of the next period is optimized; a light blocking assembly with adjustable light transmittance is combined with a closed-loop control strategy to dynamically adjust laser energy, deformation prediction and spectral analysis provide real-time quality guarantee, the process is continuously optimized through iterative optimization of a digital model, and a high-quality shell finished product is obtained.

The invention relates to the technical field of laser processing, and discloses a laser processing device and method suitable for TGV forming, and the method comprises the steps: S1, a glass substrate is scanned in a confocal manner, a three-dimensional topological graph is obtained, and the three-dimensional topological graph comprises the three-dimensional coordinate, the thickness gradient and the positioning mark of the glass substrate; s2, based on the three-dimensional topological graph, a through hole body is formed through ultraviolet femtosecond laser etching, and intermediate infrared laser is synchronously and dynamically controlled to etch the side wall of the through hole body to generate a taper through hole with a preset taper angle; and S3, the incident angle of the ultraviolet femtosecond laser is adjusted on the side wall of the taper through hole according to the three-dimensional topological graph, and a plurality of heat dissipation grooves are etched through the ultraviolet femtosecond laser. According to the laser processing device and method suitable for TGV forming, signal integrity optimization and active heat dissipation functions are achieved in the same through hole, the application range of the TGV is widened, and the stability of the TGV during use is improved.

The invention relates to a tin ring automatic focusing laser soldering tin fixing and 3D welding spot detecting system, and belongs to the technical field of industrial automatic laser processing. The system is characterized in that a tin ring preparation module identifies pins in real time and dynamically optimizes winding parameters through visual positioning and a self-adaptive winding head, and performs defect identification and pre-repair analysis through multispectral imaging; the soldering tin positioning module is used for switching stations through a rotary table, and precise positioning and clamping of a product are realized by combining laser contour sensing and a focusing compensation algorithm; the laser tin soldering module can visually identify tin materials and automatically call welding parameters, laser power and action time are regulated and controlled in real time by establishing a regional heat conduction model, and gradient cooling is implemented after welding; and the 3D detection module adopts dual-mode scanning, constructs a welding spot three-dimensional model based on fusion data, recognizes microcracks through super-resolution processing, and discriminates the welding spot quality. And automation and intellectualization of the whole process from tin ring preparation to welding spot quality detection are achieved.

The invention relates to the technical field of solar cell processing, in particular to a laser light-transmitting scribing control method and system for a solar thin-film cell. The control method comprises the steps that a large-size substrate is divided into a plurality of galvanometer view fields through a dynamic flight continuous machining mode, a continuous snake-shaped machining path is generated, the laser machining platform is driven to continuously move at the constant speed, and the galvanometer scanning system is synchronously triggered to start lineation in a splicing area in advance. According to the method, a time domain coupling equation of galvanometer scanning frequency-platform movement speed-laser pulse sequence is established, and dynamic compensation of an optical path and self-adaptive adjustment of energy density are achieved in the continuous machining process. Based on a view field expansion algorithm of a nonlinear kinematics model, the phase deviation of a scanning vector and a motion vector is effectively inhibited, and the geometric continuity of a splicing interface in ultra-long stroke machining is guaranteed.

The invention discloses an on-line detection method and system for etching quality of a laser perovskite cell, and the method comprises the steps: employing a double-camera alternate working mode, installing high-resolution CCD camera assemblies at two sides of a laser processing head in an X direction, eliminating the shielding of a motion direction, carrying out the scribing quality analysis through combining the submicron optical imaging of the CCD camera assemblies with an image processing algorithm, and carrying out the detection of the etching quality of the laser perovskite cell. According to the method, local adaptive threshold segmentation is put forward, an Otsu method is used for adaptively calculating a binarization threshold, a morphological opening operation is used for removing irrelevant information, an edge searching logic algorithm is used for searching two edges of a scribed line, finally, the two edges and a center line are fitted, and scribed line quality analysis is carried out through the three lines. And real-time power adjustment, position calibration and defect position marking are carried out by detecting the scribing quality, the calculation speed of the high-resolution optical detection system is high, detection can be carried out while machining is carried out, and machining-detection-correction closed-loop control is achieved.

The invention relates to the technical field of laser welding, and discloses a laser machining device and method for a nuclear reactor shell, and the method comprises the steps that a shell plate welding area to be welded is subjected to surface modification pretreatment; the laser processing device is used for carrying out initial welding on the pretreated shell plate, in the initial welding process, the temperature sensing assembly is used for monitoring temperature distribution of the welding area in real time, and temperature information of the welding area is obtained; the temperature information is input into a preset temperature-deformation prediction model for prediction of a variable trend and a stress distribution condition so as to obtain a first prediction result; based on the obtained first prediction result, the welding parameters of the laser processing device are dynamically adjusted for the first time; welding deformation and stress concentration are effectively coped with, the welding quality and structural strength of the nuclear reactor shell after laser welding are improved, and the reliability and safety of the nuclear reactor shell during use are effectively improved.

The invention belongs to the technical field of laser processing, and particularly relates to a laser processing control method based on a neural network, and the method specifically comprises the following steps: a target definition and input stage; a physical model and database stage: establishing a basic model library; establishing a mapping database; in the AI core engine stage, a training model learns a complex nonlinear relation among laser parameters, material response and a final processing result; searching an optimal laser parameter combination by using an optimization algorithm based on the prediction model and a target set by a user; a laser parameter automatic adjustment and execution stage; a real-time monitoring and feedback stage; and an iterative learning and system improvement stage. The invention further discloses a control system, electronic equipment and a computer storage medium. According to the method, submicron precision control is achieved, thermal damage can approach to zero, the development period is shortened, online real-time regulation and control are achieved, energy consumption is reduced, the material utilization rate is increased, and the method has an interpretable decision-making mechanism and cross-material generalization ability.

The invention provides a laser galvanometer intelligent control system and method based on big data, and belongs to the technical field of intelligent control systems. S2, data preprocessing; s3, feature extraction; s4, model training; s5, performing real-time prediction; s6, generating a control instruction; s7, executing a control instruction; and S8, performing feedback and optimization. High-precision closed-loop control over movement of the laser galvanometer can be achieved, the deviation between the actual movement state and the target movement state is effectively reduced, the laser machining precision is improved, and application scenes such as electronic chip fine machining with extremely high precision requirements are met.

The invention relates to the technical field of laser processing, and discloses a sports kettle trepanning method and system based on a laser cutting technology. The method comprises the steps that through three-dimensional point cloud scanning and local curvature calculation, reinforcement learning dynamic path planning, transient thermodynamic coupling parameter optimization, deformable mirror-mechanical arm cooperative control and infrared temperature field feedback closed loop, high-precision cutting and thermal damage suppression of the complex curved surface are achieved, and path re-planning is triggered when deviation exceeds the limit. The system comprises a laser ranging sensor array module, a reinforcement learning decision module, a thermodynamic coupling solver module, a deformable mirror and six-axis mechanical arm cooperative control module and a multi-sensor feedback module. Through curvature self-adaptive laser processing, multi-physical field thermal damage cooperative control, optical-mechanical dynamic focusing and intelligent closed-loop optimization, high-precision cutting of the complex curved surface is achieved, the calculation efficiency and the system stability are both considered, and the processing quality and adaptability are effectively improved.

The utility model discloses laser cladding equipment with a high-temperature heating function, which relates to the technical field of laser processing and comprises a working table, a supporting plate is fixedly connected to the upper surface of the working table, a sliding groove is formed in the supporting plate, an adjusting mechanism is arranged in the sliding groove, and a laser head is arranged above the working table. A protection mechanism is arranged above the workbench, and an induction heating ring is fixedly installed on the upper surface of the workbench. By arranging the induction heating ring, a workpiece above the workbench can be subjected to high-temperature heating pretreatment, by arranging the protection mechanism, energy in the heating process of the induction heating ring can be concentrated, the heating uniformity of the workpiece is improved, the heating speed of the workpiece is increased, and by using the induction heating ring and the protection mechanism in a matched mode, the heating efficiency is improved. And the workpiece can be subjected to high-temperature heating pretreatment in advance, so that the situation that cracks are generated due to overlarge thermal stress of a material in the cladding process can be reduced, and the overall quality of a cladding layer is improved.

According to the switchable double-laser-head machining light path system and device, a three-dimensional galvanometer and a cutting head assembly are integrated into a machining head assembly, a light path switching mechanism is adopted, two dichroscopes are horizontally moved through a sliding table, selective light splitting is conducted on wavelength setting of the two dichroscopes, and therefore the machining precision of the two dichroscopes is improved. Rapid seamless switching and light path multiplexing between a three-dimensional galvanometer machining mode and a cutting head machining mode are achieved, it is ensured that the lens angle does not need to be adjusted again or light path alignment does not need to be conducted after light path switching, coaxial CCD monitoring is adopted, according to the wavelength setting characteristics of the two dichroscopes, the wavelength differentiation design is conducted on the first illumination light source and the second illumination light source, and therefore the machining efficiency is improved. According to the multi-axis moving platform, the same CCD camera is shared by two machining modes, high-precision real-time monitoring under the double machining modes is achieved, a closed-loop control basis is provided for the laser machining process, and meanwhile, the multi-axis moving platform is matched with the two rotary table assemblies, so that laser machining can be flexibly conducted on a curved-surface workpiece within a large-format range.

The embodiment of the invention relates to the photovoltaic field, and provides a photovoltaic cell and a manufacturing method thereof, and the manufacturing method comprises the steps: providing a substrate with a first surface and a second surface which are opposite to each other; at least performing doping treatment on the first surface to form a doped layer with a first doped element; performing first laser processing on a part of the doping layer to form an activation part, wherein the residual doping layer is a doping part; performing first etching treatment on the first surface by taking the residual doped layer as a dead layer so as to remove the activated part and form a first suede surface; forming a doped polycrystalline silicon layer with a second doping element and a silica glass layer at least on one side, far away from the doping part, of the substrate; performing second laser treatment on at least part of the silica glass layer to form a loose part; taking the residual silica glass layer as a protective layer, at least carrying out second etching treatment on the second surface to remove the loose part and the doped polycrystalline silicon layer opposite to the loose part, and forming a second textured surface; the laser types adopted by the first laser treatment and the second laser treatment are different, so that the manufacturing process is at least simplified.

Disclosed is a multi-output regression prediction method for small samples in a laser processing process, which relates to the technical field of machine learning, and uses an adaptive dynamic genetic algorithm (ADGA) and an adaptive moment estimation algorithm (AM) to jointly optimize an artificial neural network (ANN), the algorithms being based on enhanced small samples. Data enhancement is achieved by adding noise to output data in the laser processing process, the ADGA is used to search for optimal parameters of the ANN on a global scale, and the AM is used to optimize the gradients of the optimal parameters, thereby accelerating the convergence speed of the model and enhancing the external prediction stability of the model. When the sample size in laser processing is insufficient, stable and accurate small-sample multi-output prediction can be carried out, thereby improving processing efficiency and reducing production costs in laser processing.

The invention relates to a laser drilling method for a thin copper HDI circuit board. The laser drilling method comprises the following steps that a circuit board to be machined is positioned and installed on a machining station of laser machining equipment; a first section of laser drilling is carried out, a first laser parameter is adopted, uncovering drilling is carried out on a preset machining area of the outer copper foil layer, and an initial hole structure is formed; performing second-section laser drilling, namely performing compensation drilling on the dielectric layer exposed at the bottom of the initial hole structure by adopting a second laser parameter of which the energy is lower than that of the first laser parameter to form a transition hole structure; and in the third section of laser drilling, a third laser parameter with energy lower than that of the second laser parameter is adopted, the bottom of the transition hole structure is trimmed, and a final hole channel is formed. According to the method, drilling is conducted in three sections, namely the first section of uncovering drilling, the second section of compensation drilling and the third section of finishing treatment. Therefore, the bottom cushion copper cannot absorb a large amount of heat in a short time, the base material layer below the bottom cushion copper can be protected from being burnt, and the product quality is improved.

The invention discloses an electronic device parasitic parameter network analysis method based on point cloud deep learning and a related device, and the method comprises the steps: obtaining physical characteristic data in a laser-induced quartz material process, and the physical characteristic data comprises laser wavelength, pulse width, photon energy and material characteristics; and inputting the physical characteristic data into the trained neural network model, and predicting the damage threshold of the laser-induced quartz material. According to the machine learning method fusing physical information, unification of data efficiency and physical consistency is achieved, prediction precision and model expandability are remarkably improved, and the method is used for accurately predicting the damage threshold value of the quartz material under the specific laser condition, so that the laser processing technology is optimized, and the processing precision and efficiency of the quartz material are improved.

The invention relates to a lithium battery multi-axis linkage rotary laser processing control method and related equipment, and the method comprises the following steps: carrying out the three-dimensional modeling based on a battery surface image, and obtaining a battery three-dimensional model; mapping the vectorized carved pattern information to a predetermined area in the battery three-dimensional model to obtain carved pattern information; based on the carved pattern information and the battery three-dimensional model, laser processing path planning is carried out, and a planned processing path is obtained; based on the planned processing path, obtaining a motion control instruction of multi-axis linkage rotary laser equipment on each axis of the target lithium battery; the output power of the multi-axis linkage rotary laser equipment is controlled in real time based on the motion control instructions of all the axes, laser power stable control parameters are obtained, and the problems that a traditional machining method has many limitations in the aspects of precision, efficiency and adaptation to complex shapes are solved; and the requirements of modern industry on high quality and high precision are difficult to meet.