7341results about "Feeding apparatus" patented technology

The invention relates to the technical field of numerical control machine tool machining precision improvement, in particular to a tool compensation system and method for machine tool machining, and the system comprises a cutting load monitoring module, a machine tool thermal deformation detection module, a tool compensation path calculation module, a track error correction module and a tool error compensation execution module. According to the method, through cutting load monitoring and real-time analysis of main shaft current sensor data, the relation between tool stress change and main shaft rotating speed deviation is accurately recognized, dynamic response to the tool abrasion state is achieved, and in combination with machine tool temperature data, the thermal deformation amount is calculated through a system, and a compensation path is dynamically adjusted; a compensation strategy is optimized to cope with the real-time influence of thermal deformation on a machining track, the tool compensation path correction and the track error trend are analyzed, fine adjustment of the machining path is achieved through an innovative scheme, sudden errors are effectively reduced by integrating tool abrasion, machine tool thermal deformation and cooperative adjustment of path errors, and the machining precision is improved. And the adaptability and the consistency of the machining process are enhanced.

The invention relates to the technical field of curved surface machining control, and discloses an intelligent curved surface machining method and system based on a CNC cutting machine tool, and the method comprises the steps: carrying out the laser scanning of a to-be-machined workpiece, obtaining the three-dimensional geometric data of the workpiece, activating a target clamping device, and generating an initial clamping scheme; the target clamping device is controlled to execute multi-area pressure gradient clamping operation, and target position data and clamping pressure distribution data are obtained; performing multi-field coupling dynamic analysis to generate a processing optimization parameter set; executing segmented continuous Hamiltonian path planning and self-adaptive lattice point reconstruction according to the machining optimization parameter set, and generating a tool path data set; according to the method, it is ensured that all the surfaces of the polygon prism workpiece are evenly stressed, the problem of machining deviation caused by edge stress concentration in a traditional method is solved, and the overall machining quality of the workpiece is improved.

The invention relates to the technical field of program control systems, in particular to a pentahedron machining center precision calibration method and system based on multi-sensor fusion, and the method comprises the steps: a sensor system construction and calibration module is used for field calibration, drift correction and redundancy deployment to ensure data precision, and achieves the whole-course traceability of a calibration process through a block chain technology; the multi-source data preprocessing and fusion module is used for time-space synchronization of heterogeneous data and dynamic fusion of multi-source information; the intelligent modeling and state prediction module is used for performing real-time and multi-task prediction on key states such as tool wear and thermal deformation; based on the prediction result, the adaptive compensation and path optimization module is used for dynamically optimizing the tool path; meanwhile, through an online learning mechanism, the calibration model is continuously updated by utilizing a processing result; the distributed cooperative control module executes data processing and calibration algorithms locally and makes a cooperative decision with a numerical control system, and low-delay and intelligent response to machining abnormity is achieved.

The invention relates to a shaft linkage curved surface component machining path real-time control method, system and device, and the method comprises the steps: obtaining geometric data and machining process parameters of a shaft linkage curved surface component, and carrying out the shaft linkage decomposition to obtain a multi-shaft linkage machining path; real-time operation parameters of machining equipment and tool workpiece contact data are obtained, deviation matching is conducted on the multi-axis linkage machining path, and a real-time axis control instruction set and an axis position compensation trend curve are obtained; performing path optimization on the shaft position compensation trend curve according to the real-time shaft control instruction group to obtain an initial shaft linkage adjustment scheme; performing curved surface precision evaluation on the tool workpiece contact data, and performing curved surface prediction in combination with the axis position compensation trend curve to obtain a curved surface quality prediction area; and performing coordinated optimization on the initial axis linkage adjustment scheme according to the curved surface quality prediction area to obtain an axis linkage optimization processing strategy. It can be guaranteed that efficient operation can be achieved in different machining states, and path deviation in the machining process is reduced.

The invention discloses a control method and system of a vertical multi-axis numerical control mortise broaching machine and a storage medium, and relates to the technical field of broaching machines. The control method comprises the following steps that S1, a three-dimensional model of a workpiece is imported, and a mortise machining area is recognized based on geometric features of the model; s2, according to the material attribute, the tool type and the machining precision requirement, the feeding speed, the cutting depth and the main shaft rotating speed parameter of a machining path are set; s3, generating a multi-axis linkage tool path plan, and decomposing a tool path into a control instruction of multi-axis cooperative motion through a numerical control system; s4, the deviation between the actual position and the theoretical position of each shaft is monitored in real time in the machining process, and the output torque and the rotating speed of the servo motor are dynamically adjusted; s5, collecting cutting force data in real time; s6, the distance between the cutter and the surface of the workpiece is measured in real time through a laser displacement sensor, and a displacement feedback signal is generated; and if the cutting force data and the displacement feedback signal exceed preset threshold values, a dynamic compensation mechanism is triggered. The broaching machine control method has the effect of improving broaching machine control accuracy.

The invention discloses an intelligent machining control method and control system for a CNC lathe, and relates to the technical field of lathe machining control, and further realizes real-time correction of a speed regulation control plan by collecting a spindle load feedback value in real time for a regulation target track section and comparing the spindle load feedback value with a spindle load dynamic prediction model, so that the machining accuracy of the lathe is improved. The problems of system response lag and load prediction deviation are effectively solved, meanwhile, after a machining task is finished, an inertia index, a main shaft load curve, speed regulation feedback data and final machining quality parameters are archived and used for updating main shaft historical operation data, a main shaft load dynamic prediction model and a track direction change rate response model can be continuously optimized, and the machining efficiency is improved. The learning ability evolved along with data accumulation is enhanced, the speed regulation control precision and machining stability of the numerical control lathe in complex path machining are fundamentally improved, and the core problems of speed regulation control delay, frequent path impact, track error accumulation and the like in the prior art are solved.

The invention relates to the technical field of motion control, in particular to a CNC machine tool motion control system which comprises a cutting force feedback monitoring module, a multi-axis load coordination module, a spindle vibration suppression module and a dynamic path optimization module. According to the method, the cutting force fluctuation of each axle can be accurately mastered by monitoring the axle cutting force in real time and analyzing the load change, the load and the feeding speed of the axle are adjusted according to real-time feedback, machining errors caused by uneven loads are reduced, and the vibration amplitude and frequency can be calculated and the rotating speed of the main shaft can be adjusted by monitoring the vibration data of the main shaft in real time. The resonance phenomenon is effectively restrained, the machining stability is improved, meanwhile, dynamic path optimization is conducted, the dynamic response problem caused by improper path setting is avoided by evaluating the dynamic response of a machine tool and adjusting the machining path, the cutting direction and the feeding speed in real time, the machining precision and stability are remarkably improved, and the machining efficiency is improved. And the complex machining environment adaptability of the machine tool is improved.

An edge guide is provided. A structure includes curved surface over which a print media can travel. The print media includes a first edge and a second edge that is opposite the first edge. A first media guide is contactable with the first edge of the print media. A second media guide is contactable with the second edge of the print media. The second media guide is spaced apart from the first media guide. A relative spacing between the second media guide and the first media guide is adjustable such that a distance between the first media guide and the second media guide is variable. The second media guide includes a mechanism that applies a nesting force to the second edge of the print media to cause the first edge of the print media to move toward and contact the first media guide.

The invention belongs to the field of machining, and relates to a machining process quality online monitoring and feedback adjusting system and method. The system comprises a multi-modal data acquisition module used for acquiring a mechanical vibration signal and a high-frequency micro-damage signal; the feature preprocessing and cross-modal fusion module is used for carrying out time domain, frequency domain and time-frequency domain feature extraction on the collected mechanical vibration signals and high-frequency micro-damage signals, carrying out edge, texture and shape feature extraction on workpiece machining surface image signals, and introducing a cross-modal attention mechanism to achieve weighted fusion of heterogeneous signals. And finally generating a fusion feature vector with high discrimination. The machine tool / cutter state and workpiece quality intelligent analysis module is used for constructing an intelligent analysis model for the equipment operation state and the workpiece machining quality; inputting the fusion feature vector into an intelligent analysis model to obtain a quality evaluation result; and the quality judgment and feedback adjustment module is used for adopting a dynamic threshold adjustment mechanism to realize adaptive comparison with a process standard according to a quality evaluation result.

The invention discloses a control method and equipment suitable for a rotary turn-over clamp of a numerical control milling center, and relates to the technical field of numerical control machining. The clamping force is optimized through the multi-source sensing and digital twinning technology, and workpiece deformation is prevented; thermal compensation and an error transfer chain model are integrated, the turnover angle is accurately corrected, and error accumulation is restrained; real-time comparison, traceability and self-adaptive adjustment in the machining process are achieved through digital twin pre-verification and multi-sensor closed-loop monitoring; the problems of out-of-tolerance of precision and batch consistency caused by unstable clamping, thermal deformation and error transmission in multi-surface milling of high-precision parts are solved, and the precision, reliability and process adaptability of complex part machining are remarkably improved.

The invention relates to the technical field of numerical control, in particular to a control method and system of numerical control equipment and a medium. The method comprises the following steps: collecting workpiece surface temperature distribution data and obtaining a workpiece CAD model; importing the workpiece surface temperature distribution data into a workpiece CAD model for internal temperature conduction inversion to obtain a first workpiece internal temperature distribution diagram; identifying a non-key area of the workpiece; performing a pre-cutting test on the non-key area of the workpiece to collect the temperature in the cutting process; performing nonlinear thermal expansion modeling on the workpiece based on the cutting process temperature to obtain a workpiece thermal expansion characteristic model; and an internal temperature distribution diagram of the second workpiece is obtained, and the internal temperature distribution diagram of the second workpiece represents the initial thermal state of the workpiece before formal machining. The numerical control machining precision and the cooling system efficiency are improved, the machining cost and resource consumption are reduced, and the machining adaptability, flexibility and stability are enhanced.

The invention relates to a cutting path generation system based on visual positioning, cutting equipment and a cutting method. The system comprises a scanning camera control module, an image acquisition and recognition module, an image processing module, a cutting path planning module and a cutting control module. According to the system, by combining a Laplace algorithm and an LBP and GLCM texture extraction technology, the boundary recognition problem under the condition that a pattern and a background are in the same color or low contrast is solved; the path smoothness and the cutting quality are improved by adopting contour optimization and curvature compensation algorithms, the cutting sequence is optimized by combining weighting functions of the area, complexity and overlapping degree, and material deformation is reduced. And motor driving is dynamically adjusted through PID control, and stable control over the speed of the tool bit is achieved. The method has the advantages of being high in recognition precision, high in adaptability, intelligent in path planning and stable in cutting process, the automatic cutting efficiency and the finished product quality of complex patterns or same-color materials are remarkably improved, and the overall cutting precision fluctuation is controlled within + / -2%.

The invention relates to the technical field of machine tool part machining, in particular to an engine shaft part machining method utilizing a numerical control machine tool. The method comprises the steps that vibration data and rotating speed data of a cutter of the numerical control machine tool at all moments during cutting each time are obtained; determining the contact impact strength, the vibration offset, the vibration fluctuation degree and the abrasion influence coefficient of each cutting; and determining a synchronous change coefficient, a cutting state abnormity degree and an adjustment factor of the current adjustment period, determining a steep degree parameter of an acceleration equation in the S-shaped acceleration and deceleration algorithm of the next adjustment period, and planning the feeding speed of the cutter in the numerical control machine tool. The feeding speed of the cutter is smoothed according to different cutting states, smooth acceleration and deceleration are achieved, the stability and efficiency in the numerical control machining process are improved, and the machining precision of engine shaft parts is improved.

The invention relates to the technical field of drilling equipment, in particular to drilling equipment for automobile brake disc production, which comprises a support, an air cylinder and a mounting table, and an electric control drill bit is arranged on the bottom surface of the mounting table. The second rotating disc slides in a second abutting groove through a second abutting block fixed to the inner side of the second rotating disc when moving downwards along with the first rotating disc, stable rotation of the second rotating disc is guaranteed, the second rotating disc and the first rotating disc rotate coaxially, a second arc-shaped groove is formed in the surface of the second rotating disc, and the second arc-shaped groove is matched with the second arc-shaped groove. The circular block at the bottom of the positioning block close to the center of the connecting disc is inserted into the arc-shaped groove II. When the second rotating disc rotates, the second arc-shaped grooves push the positioning blocks to move along the sliding grooves so as to adapt to the inner diameter size of the brake disc, and therefore multi-point positioning can be conducted on the inner diameter and the outer diameter of the brake disc at the same time, and the clamping stability is improved.

The invention relates to the technical field of numerical control machine tool control, in particular to a high-precision multi-axis machining composite numerical control machine tool control system. The prediction module determines a radius time sequence curve and a length time sequence curve according to the cutter radius and the cutter length respectively, and constructs a cutter wear prediction model in combination with the vibration amplitude and a preset motion path of the cutter; the analysis module determines the cutter wear degree according to the cutter wear prediction model, and determines a key influence path section and a non-key influence path section according to the vibration amplitude; and the optimization module is used for determining a correction direction and a path correction amount according to the key influence path section, the non-key influence path section and the wear degree of the tool so as to determine a new tool movement path, and determining an adjustment mode of the cutting speed / feeding speed according to the wear degree of the tool. The machining precision is improved.

The invention relates to the technical field of cycloidal gear machining control, in particular to a speed reducer cycloidal gear efficient machining method and device based on a machining machine tool, and the method comprises the steps that machining data in the cycloidal gear machining process are obtained and preprocessed; preliminarily judging whether a flutter phenomenon occurs or not by analyzing the periodic change of the cutting depth and the periodic fluctuation of the cutting force under different temperature changes; vibration, current and cutting force data are combined to evaluate the chatter occurrence possibility; classifying the processing data through clustering analysis by utilizing the chatter occurrence possibility so as to screen out high-quality processing data and flaw processing data; and a dragonfly optimization algorithm is adopted, initial position distribution of the algorithm is optimized through the high-quality machining data and the defect machining data, and the optimal cutting speed is solved to serve as the cutting speed in the current cycloidal gear machining process. According to the method, the flutter phenomenon is comprehensively analyzed through the multi-dimensional machining data, so that the overall machining efficiency in the current cycloidal gear machining process is improved.

The invention discloses a full-automatic grinding method and system for steering knuckle flash based on 3D vision, and relates to the technical field of casting post-processing automation. A trimming-free direct polishing process is innovatively provided, a casting is scanned in real time through a high-precision 3D visual system, a flash space molded line is accurately captured, and one-key calibration of a camera, automatic generation and dynamic simulation of a flash path, multi-tool intelligent switching and self-adaptive adjustment of residual height are achieved in combination with self-developed off-line programming software. According to the system, a robot is adopted for grabbing workpieces to cooperate with a fixed type multi-cutter work station, a disordered feeding technology is integrated for 2D / 3D visual guiding grabbing, workpiece deformation and die difference are effectively dealt with, and flash residues are thoroughly eliminated. The method is characterized in that visual scanning, path planning and execution control are seamlessly fused, the dependence of traditional automatic grinding on the trimming process is broken through, the yield and efficiency are remarkably improved, and the industrial problem of full-process automation of casting flash is solved.

The invention relates to the technical field of machine tool control, in particular to a numerical control machine tool intelligent control method and system for aviation titanium alloy structural part machining. According to the method, firstly, three kinds of working condition data of cutting force, temperature and vibration are collected, then, working condition feature vectors are extracted and input into a pre-training model, an optimized combination value of the feeding speed and the main shaft rotating speed is obtained, and finally, the machine tool track is adjusted in real time based on optimized parameters. And through continuous optimization of the deep learning model, the adaptive capacity to complex working conditions is improved, and the machining precision and the surface quality of the aviation titanium alloy structural part are improved.

The invention relates to the technical field of spline machining, in particular to a spline machining device and method for an eccentric shaft of a speed reducer, and the method comprises the steps that the amplitude-frequency difference between all cutting force data and all vibration data in a frequency domain and the correlation between all cutting force data and all temperature data within a preset duration before all moments are analyzed; determining a cutting risk value; comprehensively analyzing a cutting risk value, an energy ratio, a dominant frequency amplitude difference between all vibration data and all cutting force data in a frequency domain and a change relation of a cutting related index along with the machining quality in a preset period before the current moment, predicting a machining quality score to determine a machining instability index, and combining the energy ratio and the machining quality score to determine the machining instability index. And determining a main shaft rotating speed correction value and a cutter feeding amount. The problem of compensation failure of traditional PID control is solved, the spline machining quality is improved, and the service life of a workpiece is prolonged.

The utility model discloses a follow-up lead screw auxiliary supporting structure which comprises a guide rail matched with the guide rail and a supporting assembly capable of moving on the guide rail, the supporting assembly comprises a supporting block used for supporting a lead screw and a sliding block used for being connected to the guide rail in a sliding mode, the supporting block and the sliding block are arranged in a synchronous movement mode, and an elastic piece is arranged between the supporting block and the sliding block. The supporting surface of the supporting block elastically abuts against the peripheral surface of the lead screw and is in sliding connection with the peripheral surface of the lead screw, so that self-adaptive auxiliary supporting arrangement is formed for the lead screw, abnormal abrasion caused by too large friction force between the supporting block and the lead screw can be avoided, meanwhile, self-adaptive auxiliary supporting for the lead screw is achieved, and then the machining precision of a machine tool is guaranteed.

A machining head with active correction of the type used in association with a robot to carry out fast high-precision machining tasks especially on parts for the aeronautical production industry that has localised position and angular sensors, and a machining motor or spindle provided with localised movement with respect to the head casing, independent of the robot's movement, this movement being preferably both displacement and rotation with respect to both, allowing active correction of the machining position is disclosed. The invention provides the main advantage of allowing errors by the robot or deformation of the part to be machined, in positioning for machining, to be corrected in a localised very fast and accurate way, without the need to re-position the robot.

The invention relates to the technical field of machine tool machining, and discloses drilling equipment and a drilling process for nozzle pin hole machining, the drilling equipment comprises a support and a base, a drilling device and a lifting device are arranged on the support, a conveying device and a positioning device are arranged on the base, and a feeding conveying table and a discharging conveying table are arranged on the two sides of the base respectively; the drilling device comprises a control source, a plurality of drill bits and an adjusting part used for adjusting the positions of the drill bits, the lifting device comprises a first threaded rod and a transmission part, and the conveying device comprises a conveying belt and a moving part used for controlling the position of the conveying belt on the base. According to the drilling machine, the positions of the multiple drill bits are adjusted through the arrangement of the adjusting piece, workpieces are carried through the arrangement of the conveying belt, and therefore rapid machining and carrying of the workpieces are achieved, and the problems that when different workpieces are machined through a traditional drilling machine, matched cutter heads need to be frequently replaced, and the machining efficiency is high are solved. And machined workpieces need to be grabbed and placed through a mechanical arm, operation is complex, and the machining efficiency is affected.

The invention discloses a precision control method, system and equipment of an intelligent numerical control machine tool and a medium and relates to the technical field of numerical control machine tool control. The method comprises the following steps: acquiring first position information and first speed information of a main shaft in the numerical control machine tool and second position information and second speed information of a plurality of feed shafts; determining a position coordination error value according to the first position information and the second position information; calculating a speed coordination error value and an acceleration coordination error value based on the first speed information and the second speed information; carrying out error analysis processing on the position coordination error value, the speed coordination error value and the acceleration coordination error value, and determining a to-be-compensated feed shaft with the collaboration degree with the main shaft smaller than a collaboration degree threshold value; and receiving a cutting load parameter of the to-be-compensated feed shaft, and performing dynamic error compensation on the to-be-compensated feed shaft in combination with the cutting load parameter until the collaboration degree is greater than or equal to a collaboration degree threshold value. By implementing the technical scheme provided by the invention, the effect of improving the precision control efficiency of the numerical control machine tool is achieved.

The invention discloses a method for machining a high-precision sealing surface of a numerical control gantry milling center, which relates to the technical field of numerical control machining and comprises the following steps of: fixing a workpiece on a workbench of a numerical control gantry milling machine, and setting machining parameters through automatic tool setting; based on the machining parameters, a random forest algorithm is adopted to generate a milling path; according to the milling path, the workpiece is milled, meanwhile, machining parameters in the milling process are collected in real time, and machining state monitoring data are generated; dynamically optimizing a milling path by combining hyper-parameters of quantum reinforcement learning on the basis of machining state monitoring data; according to the optimized milling path and the optimal parameter combination, sealing face finish machining operation is executed; according to the method, when the milling path is dynamically optimized through the quantum reinforcement learning method, path adjustment is more accurate through optimization of hyper-parameters, and the method can better adapt to machining tasks with high complexity and high precision requirements.

The invention relates to the technical field of machine tool control, in particular to an electrolysis arc milling composite numerical control machine tool control method and system for case machining. The method comprises the steps that firstly, an electrolyte supply system, an electric arc generation system, a high-pressure water jet system and an ultrasonic vibration system are started in sequence, operation data are obtained, and rough machining parameters are calculated; in the rough machining process, the machining gap, the discharging state and the temperature are monitored in real time and compared with standard parameters, and correction values are calculated; after rough machining is completed and the electrolytic arc milling device is detached, the feeding speed and the spindle rotating speed are adjusted according to the correction value, and finish machining parameters are obtained; by electrolyzing electric arc corrosion materials and combining the synergistic effect of high-pressure water jet and ultrasonic vibration, efficient removal and accurate control of super-difficult-to-machine materials such as titanium alloy and high-temperature-resistant alloy in the machining process are achieved, and the machining efficiency and quality are improved.

The invention relates to the technical field of numerical control machine tool machining, and discloses a numerical control machine tool machining precision optimization method and system. The system comprises a machining data acquisition module, a machining environment data acquisition module, a precision data analysis module and a precision influence early warning module. According to the system, tool bit abrasion data of each tool of the current numerical control machine tool, the flatness of a clamp of the numerical control machine tool, collected cooling liquid spraying uniformity and a workpiece surface scrap residual value are comprehensively calculated to obtain a first precision risk coefficient, and whether a first adjustment strategy is executed to clean the numerical control machine tool or not is judged; based on the electric signal interference frequency and the temperatures of the transmission parts, a second precision risk coefficient is obtained through comprehensive calculation, whether a second adjustment strategy is executed or not is judged, whether other parts need to be overhauled or not is judged, and therefore interference of external factors on the numerical control machine tool is avoided by considering multiple factors.

The invention provides a machine tool machining parameter adjustment method and system, relates to the technical field of machine tool machining parameter adjustment, and aims to infer local acoustic impedance of a workpiece material in real time by emitting sound waves and receiving echo signals on the workpiece material in front of cutting of a cutter and extracting acoustic features. And when the local acoustic impedance is continuously higher than a preset normal reference value and exceeds a preset threshold value, determining that a local abnormal region exists, and generating an early warning signal. And before the tool makes contact with the local abnormal area, the machining parameters are adjusted in advance according to the early warning signal. And real-time feedback signals in the cutting process are continuously monitored, and the machining parameters are further adjusted based on the real-time feedback signals and the early warning signals. The problems that in the prior art, due to uneven local hardness of a workpiece material, a tool is unexpected to be abraded, and machining size deviation is accumulated can be effectively solved.

The invention discloses a machine vision-based numerical control machine tool cutter wear identification method and system, and relates to the technical field of machine vision. A numerical control machine tool cutter two-dimensional image sequence is collected, high-precision point clouds are obtained through three-dimensional reconstruction and calibration, and high-precision cutter reference three-dimensional point clouds are obtained; constructing a functional region division rule, segmenting the high-precision tool reference three-dimensional point cloud to obtain a tool functional region, and generating tool region structured reference data through geometric shape quantitative description algorithm analysis; collecting regional structured data of the cutter in different machining periods, and obtaining a shape evolution track of the cutter through space-time registration; constructing a tool wear recognition model based on the time sequence convolutional network, inputting a tool morphology evolution trajectory, and outputting a tool wear type; and collecting tool historical case data to construct a wear mechanism knowledge base, performing matching mapping on a tool wear type and the knowledge base, and generating a tool wear identification result. And based on the wear identification result, realizing the identification of the wear of the numerical control machine tool cutter.

The invention relates to the technical field of fastener process production, in particular to a process parameter control method and system applied to fastener production. The method comprises the following steps: acquiring three-dimensional cutting force of a tool-workpiece contact area in a fastener thread machining process in real time, and generating cutting force dynamic fluctuation characteristic data; the real-time abnormal situation of the current machining process is recognized according to the cutting force dynamic fluctuation characteristic data, a tool wear mode is judged, thread ring machining deviation prediction is conducted, and a predicted thread geometric deviation value is generated; and adjusting multiple machining control parameter values according to the predicted thread geometric deviation value, and carrying out real-time machining feedback monitoring so as to realize fastener production self-adaptive control. According to the method, intelligent recognition of the tool wear mode and accurate prediction of the machining deviation are achieved through cutting force sensing, and it is ensured that the thread machining precision of the fastener is stable and controllable through multi-parameter cooperative self-adaptive regulation and control.

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.