387 results about "Machining toolpath" patented technology

The invention relates to the technical field of numerical control programming, in particular to a five-axis machining path planning method and system based on data driving, and the method comprises the following steps: obtaining real-time coordinates of each axis of a machine tool, calculating linear velocity and angular velocity components to construct a Jacobian matrix, executing singular value decomposition, and calculating a conditional number ratio by using maximum and minimum singular values; and inputting a nonlinear mapping function to calculate a dynamic penalty factor, generating a rotating shaft weighted item in combination with a rotating shaft identifier, constructing a weighted damping least square objective function, calculating a five-axis motion increment, and accumulating the five-axis motion increment with a real-time coordinate to generate a target absolute position coordinate. According to the method, the pose singularity degree is quantified by monitoring the machine tool pose condition number ratio and converted into the dynamic penalty factor to apply the self-adaptive constraint to the rotating shaft, the severe sudden change of the rotating shaft in the singularity area is inhibited, the tool nose track following error is minimized, and meanwhile smooth distribution of the motion increment is achieved; and the dynamic stability and the surface quality of five-axis linkage machining are improved.

The invention discloses a diamond cutter path error compensation method based on cutter wear evolution, which comprises the following steps: S1, multi-modal sensor data acquisition and processing: in the machining process, key state information between a diamond cutter and a workpiece is acquired in real time through a multi-modal sensor; s2, tool wear modeling: key geometric parameters and evolution trend of tool wear are extracted from the collected and processed data, and tool wear modeling is carried out. And S3, artificial intelligence prediction of the abrasion loss: training a tool abrasion prediction model based on a deep learning network structure. And S4, tool path compensation is conducted, specifically, the predicted abrasion loss and the actual free-form surface model are combined, the tool path compensation amount and the compensated control point coordinates are calculated, a new machining path is generated, and dynamic compensation of tool cutting edge abrasion is achieved. And S5, system integration and closed-loop control: integrating the steps on processing equipment, and realizing real-time data interaction and synchronization through a unified data protocol.

The invention relates to the technical field of path control, in particular to a combined path and laser processing planning method based on machine vision, which comprises the following steps: acquiring an image by an industrial camera to extract contour measurement parameters to identify defective materials, setting path start-stop optimization connection smooth obstacle avoidance based on a feature table, and detecting a dynamic adjustment range of a hot area. And according to the adaptive group setting threshold evaluation capability, the delay prediction adjustment power speed is calibrated, an instruction set is called to compensate, predict and correct error dynamic matching, and an optimal processing path and a synchronous processing setting table are output. According to the method, the workpiece image is obtained in real time, the machining features are analyzed, the machining precision and efficiency are improved, fine control in the machining process is achieved, effective cooperation of path planning and machining parameters is ensured, the problem of mismatching of path planning is avoided, the response precision and stability in the machining process are improved, and the machining precision and efficiency are improved. The processing quality and time management are remarkably improved, and low efficiency and quality fluctuation caused by manual adjustment in the prior art are avoided.

The invention relates to a machining path planning system, in particular to the technical field of intelligent manufacturing and numerical control machining, and overcomes the defect that a thermal coupling effect is ignored in traditional geometric planning by constructing an evolution model fused with a physical law. A dynamic decoupling algorithm is utilized to extract a real cutting load from multi-source data and reconstruct a rigidity field changing along with material removal in real time, the problem that a physical boundary is difficult to perceive under a complex working condition is solved, and the system effectively eliminates size out-of-tolerance caused by heat accumulation through transient deformation advanced prediction. According to the method, the non-linear error is actively counteracted in cooperation with a reverse compensation strategy based on sensitivity analysis, the machining precision and surface quality of the thin-wall weak-rigidity part are remarkably improved, the rejection rate and trial cutting cost are reduced, and intelligent closed-loop control over the manufacturing process is achieved.

The invention provides a workpiece machining path compensation method and system based on multi-vision cooperative localization, and relates to the technical field of workpiece machining.The method comprises the steps that a compensation reference coordinate system of a workpiece machining path is established; determining a theoretical machining path of the workpiece according to the CAD model and the process planning of the workpiece, and mapping the theoretical machining path to the compensation reference coordinate system; performing global coarse compensation on the theoretical processing path to generate a global compensation amount and a global compensation path; performing local compensation on the global compensation path according to the local point cloud to obtain a local compensation amount and a local compensation path; according to the cutting parameters of the workpiece, the local compensation path is subjected to flexibility compensation, and the flexibility compensation amount is obtained; under the compensation reference coordinate system, compensation quantity fusion is carried out on the global compensation quantity, the local compensation quantity and the flexibility compensation quantity, and a final compensation path is generated; and executing the final compensation path. According to the method, the execution precision and stability of the machining path and the adaptability to complex machining working conditions are remarkably improved.

The invention relates to the technical field of machining control, in particular to an intelligent planning system and method for a multi-axis linkage numerical control machining path, and the system comprises a data collection unit which is used for obtaining the form attribute parameter information of a machined workpiece and the axial motion attribute parameter information of a multi-axis machining unit; and the initial division unit is used for performing initial division on a workpiece machining range according to the morphological attribute parameter information and the axial motion attribute parameter information to obtain an initial segmentation result and an initial trajectory planning result of the machining range, and the initial trajectory planning result comprises coordinate information of each trajectory segment. The collision condition between the motion path of the cutting tool and the feature range of the workpiece can be checked in real time through the collision checking unit, and the path is automatically adjusted through the collision avoidance unit, so that possible machining errors and equipment damage are avoided, and the machining safety and stability are greatly improved through intelligent collision avoidance.

The invention belongs to the technical field of gear precision machining, and particularly relates to a high-precision machining method for a complex curved surface gear, which comprises the following steps: acquiring a gear three-dimensional model and planning an initial machining path; tooth profile errors are predicted based on the path, and real-time dynamic compensation is conducted in the machining process; predicting a heat treatment deformation trend based on the compensated motion trail and the real-time data; adjusting heat treatment process parameters according to the predicted deformation trend; and detecting the final state of the gear after heat treatment, and updating the error prediction and compensation model according to a detection result. According to the method, real-time error compensation in the machining process is associated with predictive control of heat treatment deformation to form a closed loop, the problem that in the prior art, machining precision and structural stability after heat treatment are difficult to cooperatively guarantee is solved, and high-precision and high-reliability unified manufacturing of the complex curved surface gear is achieved.

The invention relates to an intelligent avoiding and load balancing method for double-spindle machining of a high-speed engraving and milling machine in the technical field of intelligent manufacturing, which comprises the following steps of: performing comparative analysis by adopting a preset safety threshold according to the dynamic change trend of the distance between spindles, and if the distance is detected to be lower than the safety threshold, triggering a collision risk control module, determining a potential interference area range; aiming at the determined interference area range, generating a temporary avoidance path of the double spindles through a processing path planning algorithm, obtaining adjusted motion track data, and judging whether the interference area can be avoided or not; aiming at the corrected path execution instruction, analyzing the distribution condition of the current processing task through an area distribution optimization module, obtaining the working load data of the double spindles, and judging whether the load is balanced or not; and according to the latest collaborative operation data, the operation efficiency and the machining progress of the double spindles are analyzed through a machining efficiency improving module, optimized operation parameters are obtained, and a final machining execution strategy is determined.

The invention relates to the technical field of machining path planning, in particular to a graphite micropore femtosecond laser machining path planning method based on AI visual localization, which comprises the following steps: S1, acquiring an image of the surface of a graphite workpiece through an industrial camera, and preprocessing the image; s2, processing the image based on an AI visual identification model, and extracting microscopic features of the graphite surface and position coordinates of a preset processing area; s3, based on the extracted feature coordinates and preset micropore design parameters, an initial path of femtosecond laser processing is generated through a path optimization algorithm; and S4, the optimized machining path is converted into a laser galvanometer control instruction, and femtosecond laser is driven to complete micropore machining. According to the method, on the basis of path optimization of the improved grey wolf algorithm, through dynamic weight adjustment, in a multi-taboo area scene, the idle running time of the laser galvanometer is effectively shortened, and the machining efficiency is improved.

The invention relates to the technical field of numerical control machining, in particular to a multi-cutter cooperative machining numerical control machine tool system based on dynamic error compensation, which comprises a data acquisition unit for acquiring historical machining data; the path determining unit is used for determining a pre-processing path and an overlapping processing area of the blank; the machining executing unit is used for determining the cutting depth proportion of each cutter for executing single-time machining on the blank and executing machining; the image acquisition unit is used for acquiring surface images of a processing surface of the blank before and after processing in real time; the data analysis unit is used for determining a thermal diffusion area and a thermal deformation area of the processing surface of the blank, and determining to execute dynamic error compensation on the plurality of cutters according to the coverage rate of the thermal deformation area; the compensation regulation and control unit is used for determining dynamic error compensation according to the coverage rate; and the optimization adjustment unit is used for optimizing the dynamic error compensation parameters based on the area proportion of the mutation points of the processing area. The machining precision of the multi-cutter cooperative machining numerical control lathe on the workpiece is improved.

The invention discloses a hemispherical harmonic oscillator inner surface processing path correction method, a hemispherical harmonic oscillator inner surface processing method and a hemispherical harmonic oscillator inner surface processing device. The correction method comprises the following steps: processing the inner surface of a hemispherical harmonic oscillator test article based on a set processing path; measuring the radius of the inner sphere of the processed test article, calculating the deviation of the radius of the inner sphere based on the measured value and the design size, obtaining the compensation amount of the Z-axis direction of the processing route based on the deviation, and performing reverse compensation on the Z-axis coordinate of the terminal point of the processing route to obtain a first corrected processing route; reprocessing the hemispherical resonator test article based on the first correction processing route; and measuring the diameter of an inner support column of the test article, calculating translation deviation based on a measured value and a design size, taking the translation deviation as the compensation amount of the X-axis direction of the machining route, and performing reverse compensation on the X-axis coordinates of all points of the first correction machining route to obtain a second correction machining route. The machining method can ensure that the size and the geometrical shape of the machined hemispherical harmonic oscillator are within the design tolerance range.

The invention relates to the field of aircraft hydraulic control element machining, and particularly discloses an aircraft hydraulic kinematic pair valve element lubricating structure laser surface texturing method which comprises the steps of lubricating spherical crown texture design, texturing machining path, protection cleaning, laser parameter testing, laser machining pretreatment, test piece texturing and texturing effect inspection. Machining of the micro-nano structure on the surface of the valve element of the hydraulic kinematic pair of the airplane is achieved through high-energy and short-pulse femtosecond laser, machining precision is high, controllability is high, environmental pollution is small, and compared with the prior art, abrasion of the matching face of the valve element and the cylinder sleeve kinematic pair can be reduced to a great extent; and meanwhile, high-pressure shock waves induced by femtosecond laser are utilized to form residual compressive stress on the surface of the valve element, so that oil and scrap storage and surface lubrication wear resistance of the surface of the valve element are synergistically improved, and the overall service life of the aircraft hydraulic control element is prolonged.

The invention provides a device and method for adjusting and verifying the machining pose of a workpiece, and belongs to the technical field of machining. The device comprises a workpiece clamping module, a three-dimensional scanning module, a film pasting module, a laser marking module, an industrial camera module, a laser ranging module, a calculation solving module and a communication module; the calculation and solution module is connected with the scanning module, the industrial camera module and the laser ranging module, and the calculation and solution module is in communication connection with a numerical control system of a machine tool through the communication module; the method has the advantages that the precise self-adaptive adjustment of the workpiece pose and the verification of the machining path are realized, and the reliability of precision machining is improved.

The invention discloses an electronic film cutting control method and system based on digital twinning. The method comprises the steps that tool and material interaction data are collected and denoised, time domain and frequency domain characteristics of the tool and material interaction data are extracted, spectral distribution is calculated through Fourier transform, and material characteristic fluctuation mode data are determined; if the threshold value is exceeded, judging that the toughness of the material is changed, obtaining time sequence data, obtaining a material difference feature vector, inputting the material difference feature vector into a support vector machine model for classification, matching a material database, and determining an optimized control parameter set; a deep neural network is adopted to predict the optimized control parameter set, and environment variables are fused to obtain a final dynamic control instruction set; and if the final dynamic control instruction is not matched with the current cutter state, a stable machining path is obtained through closed-loop feedback cycle updating. According to the method, the digital twin of the cutter and the material is constructed, the physical machining process is mapped in real time, the machining precision and adaptability can be remarkably improved, and intelligent response to the material difference is achieved.

The invention relates to a heatable mixer (1) for composite products based on thermoplastic material(s), having an elongate structure defining a longitudinal processing path between at least one inlet and at least one outlet (2′) and comprising a heated trough (3) in which two mutually interpenetrating parallel twin screws (4 and 4′) are mounted, forming member(s) for dimensionally reducing, heating and moving the products to be processed which are inserted at the inlet, each screw (4, 4′) comprising a heated and driven support shaft (5) arranged in the path direction (DT). The mixer (1) is characterised in that it comprises, at the or at each outlet (2′), a member (20) for controlling the liquid or semi-liquid output stream of processed products, flowing through the associated outlet (2′), advantageously under the effect of gravity.

The invention relates to the technical field of CNC machining, and discloses a CNC machining path optimization method for a plastic mold, and the method comprises the steps: dividing a mold high / low / transition curvature region through high-precision point cloud scanning, and generating a region machining strategy table; multiple sensors are deployed on the CNC machine tool, and unified machining state evaluation indexes are generated through data fusion; bayesian optimization is initialized by taking a Gaussian process as an agent model, and an optimal path parameter is selected based on monitoring data; a threshold value is set to automatically trigger electric spark finishing, and equipment collaboration is achieved through OPC UA data transmission; and detecting the comparison standard after processing, if the comparison standard is not reached, adjusting the algorithm weight for re-optimization, and storing parameters in a database to form a closed loop. According to the method, the fine trimming quality can be improved in CNC machining of the plastic mold.

The invention discloses a log node double-robot collaborative processing system and a collaborative processing method thereof. The method comprises the steps that firstly, a log conveyed to a bearing platform is subjected to coarse positioning through a fixed vision unit; then a first vision unit at the tail end of the grabbing robot is driven to conduct multi-view-angle three-dimensional scanning on the log, a high-precision point cloud model is reconstructed and registered with a pre-stored digital model containing process information, and the grabbing pose and the initial machining path are synchronously planned; then the grabbing robot grabs and carries the logs to the cooperative position; secondly, a second vision unit at the tail end of the machining robot conducts secondary scanning on the log in the holding state, the pose deviation is calculated through matching, the initial machining path is compensated in real time, and a self-adaptive path is generated; and finally, the machining robot executes milling according to the compensation path. Full-process automation and self-adaptive high-precision machining from sensing, positioning, grabbing to machining are achieved, and the flexible machining problem of multi-scale logs is effectively solved.

A three-axis deburring machining method comprises the steps that firstly, a user appoints deburring parameters through CAM software; secondly, a deburring machining path is calculated according to the deburring parameters; and 3, path optimization: solving a self-intersection problem to obtain a final processing path. The invention provides a three-axis deburring machining path calculation method. The defects of manual deburring machining are overcome.

A numerical control device includes an NC command decoding unit and a tool information storage / generation unit. The NC command decoding unit has a cut amount decoding unit for decoding the cut amount for rough machining, a machining shape generation unit for generating a finishing shape, a machining pathway generation unit for generating a path for rough machining, a tool direction provisional determining unit for provisionally determining the direction of the tool, a path joining assessment unit for assessing whether or not to omit a round-up operation, a machining path joining unit for generating a new path for directly moving to the end point of the next operation after the round-up operation if the round-up operation is to be omitted, and a tool direction determining unit for determining the direction of the tool at each machining shape change point on a path for rough machining including the new path.

The invention relates to the field of machine tool control, in particular to a gantry machine tool double-drive feeding error compensation method which comprises the steps that instruction acceleration and machining path curvature at a target moment are obtained, and the target moment is any sampling moment; calculating an asymmetric driving induction state index at the target moment based on the instruction acceleration at the target moment and the preset maximum acceleration of the machine tool, and calculating a cross beam torsional strain pre-estimation index based on the asymmetric driving induction state index, the machining path curvature and the obtained gantry cross beam span; and a gain modulation factor is constructed based on the beam torsional strain estimation index, the gain modulation factor is used as a correction factor to correct the calibrated basic coupling gain to obtain a dynamic coupling gain, the adaptive synchronous compensation amount is calculated according to the dynamic coupling gain, and a feed error compensation closed loop is completed. Through the technical scheme of the invention, the precision of an error compensation result can be improved.

The invention is suitable for the technical field of laser processing, and provides a hole structure processing method of a ceramic substrate, a controller, equipment and a ceramic circuit board. The hole structure processing method of the ceramic substrate comprises the following steps: acquiring processing parameters of a hole structure; processing a hole structure with a hole outer contour and a target processing depth at the hole position; wherein the hole structure machining process is multi-time layered machining, and the machining process of a first layer in the multi-time layered machining comprises the steps that first laser is used for conducting laser winding cutting machining along a machining path matched with the outer contour of a hole according to the first machining depth, second laser is used for conducting laser scanning machining along the defined area of the outer contour of the hole according to the second machining depth smaller than the first machining depth; after multi-time layered machining, the accumulated value of the first machining depth is larger than or equal to the target machining depth, and the accumulated value of the second machining depth is larger than or equal to the target machining depth. According to the embodiment of the invention, the pore structure meeting the requirements can be effectively processed on the ceramic material layer.

The invention discloses a numerical control machining method for a wood substitute transition mold based on equal-residue dynamic machining. The numerical control machining method comprises the following steps that S1, a machining path is optimized; s11, designing a knowledge enhanced path planning model; s12, generating an equal-residual-height cutter contact track; s2, cutting parameter collaborative optimization; s21, designing a multi-target parameter optimization model; s22, designing a dynamic parameter adjustment strategy; s3, numerical control machine tool parameter joint optimization design; s31, servo shaft parameter matching is carried out; and S32, cooling system cooperative control is carried out. According to the method, multi-dimensional collaborative optimization is adopted, and path planning, parameter optimization, machine tool debugging and cooling control are fused to form a closed-loop optimization system; according to the method, intelligent decision making is adopted, a knowledge graph and reinforcement learning are combined, and self-adaptive adjustment of a processing strategy is achieved; and high-precision guarantee is achieved, and the machining precision is improved to + / -0.02 mm through servo parameter matching and cooling control.

The invention relates to the technical field of machining control, and discloses a right-angle head side face machining method, device and equipment and a storage medium. The method comprises the steps that current installation direction information of a right-angle head is obtained, coordinate axis mapping is conducted, a coordinate transformation rule is obtained, and a working plane module of a rear processor is created according to the coordinate transformation rule; performing position exchange of an axis coordinate output formatted statement based on the working plane module to obtain an axis number output module; executing direction remapping of the arc interpolation motion instruction based on the axis number output module to obtain an arc interpolation module; automatically identifying and deleting a program statement containing a preset zero returning instruction in the circular interpolation module to obtain a target post-processor file; and compiling and converting the path data of the two-dimensional plane machining tool by using the target post-processor file to obtain a numerical control machining program, so that the continuity and the machining precision of an arc machining path are ensured, and the overall efficiency from programming to machining is improved.

The invention discloses a double-cutter vertical milling machine, and relates to the technical field of milling machines. The double-cutter vertical milling machine comprises a machine body, a workbench and a spindle box, a spindle is arranged on the spindle box, a milling cutter is detachably connected to the spindle, a plurality of cutter teeth are arranged on the milling cutter, and the double-cutter vertical milling machine further comprises a first detection mechanism arranged on the side wall of the machine body and used for detecting edge jumping and abrasion of the cutter teeth; and the cleaning mechanism is arranged at the bottom of the spindle box. According to the double-cutter vertical milling machine, before milling, the milling cutters can be cleaned conveniently, chippings are prevented from splashing, meanwhile, the abrasion loss and the difference of the two cutters can be detected conveniently, cutter tooth tipping can be detected conveniently, and the machining quality is guaranteed; during milling machining, the surface in front of a workpiece machining path can be cleaned conveniently, after machining is completed, the roughness of the machined surfaces of the two workpieces can be detected and compared conveniently, and the machining quality is guaranteed.

The invention discloses a paint surface condition detection and grinding and polishing robot path planning method for a paint layer on the surface of special equipment, which comprises the following steps: processing point cloud data obtained by a three-dimensional structured light camera to obtain spatial position characteristics of a workpiece, calculating a processing path required by a robot for grinding operation, and analyzing the cutting amount of a grinding head to obtain a processing path of the workpiece; path parameters are optimized, so that a more uniform surface removal rate is obtained; a deep learning method is adopted to detect and analyze a robot grinding and polishing operation result, a mixed layer thickness estimation algorithm is designed based on visual features of a workpiece before and after grinding machining, a grinding and polishing paint surface data set is marked based on the algorithm, and path optimization is performed based on the marking result; and the feedback quantity of paint surface change is obtained through a path planning algorithm, the path is planned again, the robot carries out targeted grinding machining based on the path, and a closed loop of the whole system is achieved.

The invention provides a complex runner impeller pump machining method based on a wax pattern model, which comprises the following steps: calculating geometric width and curvature change values of a runner according to casting deviation estimation data, and if the change values exceed a design tolerance range, correcting boundary conditions of an initial wax pattern model through an iterative optimization algorithm, and determining optimized wax pattern model data; a numerical control machining path is generated after optimized wax pattern model data is obtained, the feeding speed and cooling parameters of a cutter are dynamically adjusted in combination with real-time feedback information of a temperature sensor, and a precision machining instruction sequence is obtained; simulating a virtual casting process from the precision machining instruction sequence, judging whether the geometric consistency of the flow channel meets the fluid efficiency requirement or not, and if not, backtracking to a deformation prediction data stage for recalculation to obtain a final casting parameter set; and an automatic pouring system is driven through the final casting parameter set to execute lost wax casting, real-time dimensional deviation is monitored, the position of a mold is automatically calibrated, and a high-precision complex-runner impeller pump casting is obtained.

The high-efficiency low-deformation machining method suitable for the aviation blade disc comprises the following steps that S1, a cutting force model is constructed based on a ball-head spiral conical milling cutter, a cutting test is carried out, and therefore a cutting force coefficient is determined; s2, performing numerical control simulation on the milling cutter by adopting special software, determining a machining path according to a principle of maximum rigidity of a cutting system, extracting a cutting area and a cutting edge length through the special software on the basis of the machining path so as to calculate real-time cutting force in the machining path, and then constructing a finite element model of the blade disc, carrying out transient mechanical analysis in the blade curved surface coordinate system, adjusting cutting parameters and the inclination angle of a workbench when cutting deformation exceeds a set range, and determining a parameter interval I of the feeding amount and the cutting depth; and S3, modal testing is carried out to obtain modal parameters, then calculation software is adopted to sequentially calculate parameter intervals of different machining parameters and the rotating speed of the main shaft, and effective machining parameters are obtained.

The invention is suitable for the technical field of circuit board manufacturing, and provides a blind hole processing method and system for a PCB, and the method comprises the steps: obtaining the parameter information of the PCB and the coordinates of a plurality of to-be-processed blind holes; calculating an optimal processing path according to the coordinates of the plurality of blind holes; laser pulse energy is calculated according to the parameter information, and then the blind hole is machined; the predicted machining depth of the blind hole is calculated based on the reflected signal intensity and the material response time when the blind hole is machined; dynamically correcting the magnitude of the laser pulse energy or the duration of processing the blind hole by the laser pulse energy according to the predicted processing depth of the blind hole; the roughness of the hole wall of the blind hole is detected, and fine trimming is conducted on the hole wall of the blind hole according to the roughness; therefore, multi-point high-precision, low-energy-consumption and thermal control optimized blind hole machining is achieved, the blind hole machining quality is greatly improved, and then the user experience is improved.

The invention discloses a depth-controllable milling device facilitating feeding and a method thereof, and belongs to the technical field of machine manufacturing. The gantry type motion module is erected on the machine tool frame; the sensing assembly is fixed to the gantry type motion module and used for scanning the surface contour of the workpiece to obtain surface position data; the machining assembly and the sensing assembly are fixed to the same motion carrier of the gantry type motion module side by side, the machining assembly is used for milling the workpiece, and a fixed spatial position offset exists between the machining assembly and the sensing assembly; and the controller is connected with the gantry type movement module and the sensing assembly and used for controlling movement of the gantry type movement module and generating a corrected machining path instruction based on the surface position data and the spatial position offset so as to control the machining assembly. According to the invention, the automation level of equipment and the adaptability to different workpieces are greatly enhanced.

The invention discloses an image recognition and precision control system for laser imaging equipment, which relates to the technical field of laser imaging equipment and comprises an edge fracture recognition module, a geometric consistency calculation module, a path fusion reconstruction module, a contour consistency verification module and a parameter self-regulation module. And the path fusion reconstruction module is used for constructing a connection section based on edge tail end trend consistency and curvature similarity results, fitting a fracture path by adopting a Bessel interpolation algorithm with a curvature penalty term, and generating a complete processing contour meeting a continuity requirement. According to the method, the problem that the processing path is discontinuous due to pixel-level edge fracture in the image acquisition stage in laser imaging processing is solved, geometric consistency identification of the non-closed curve edge and automatic fusion of the fracture path are realized, a continuous closed high-precision processing contour is generated, and the image identification robustness and the processing stability are improved.