3526results about "Automatic control devices" patented technology

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 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.

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 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 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 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.

The invention relates to the technical field of tool control, in particular to a tooth cutting tool parameter control system based on bevel angle cutting, which comprises a tool parameter acquisition module used for acquiring the rotating speed, the axial feeding amount and the cutting depth of a tool in real time; the force-heat prediction model is used for outputting predicted cutting force and predicted cutting tool temperature; the multi-target parameter optimization model is used for receiving constraint conditions set by a user, optimizing the rotating speed, the axial feeding amount and the cutting depth of the cutter by taking the lowest cutting force, the lowest temperature of the cutting cutter and the highest machining efficiency as targets in the constraint conditions, and integrating and outputting a regulation and control strategy; and the cutter parameter control module is used for regulating and controlling the rotating speed, the axial feeding amount and the cutting depth of the cutter based on a regulation and control strategy when the predicted cutting force and the predicted temperature of the cutting cutter exceed threshold values. According to the method, by accurately regulating and controlling the parameters of the tooth cutting tool, the machining efficiency of the tooth cutting tool can be ensured, and meanwhile the abrasion speed of the tooth cutting tool is reduced.

The invention discloses an integrated machining device suitable for a large marine propeller, which comprises a machining adjusting assembly, the machining adjusting assembly is composed of an X-axis moving mechanism, a Y-axis moving mechanism and a Z-axis moving mechanism, one side of the Z-axis moving mechanism is fixedly provided with a rotating mechanism, one end of the rotating mechanism is fixedly connected with a cutting assembly, and the other end of the rotating mechanism is fixedly connected with a cutter; according to the large marine propeller integrated machining device with the automatic machining function and the self-adaptive clamping function, through the integrated multi-axis linkage machining adjusting assembly and the three-dimensional scanner, automatic path planning can be conducted, and automatic operation is achieved; therefore, the dependence on advanced technicians is greatly reduced, the machining efficiency and the product consistency are remarkably improved, and meanwhile, through the collaborative design of the rotatable three-jaw chuck and the center supporting mechanism, simultaneous reliable supporting from the interior and the exterior of the workpiece can be automatically achieved during clamping.

The invention relates to a calibration method of a workpiece coordinate system, which comprises the following steps: when a processing table is in a reference pose, detecting the end face of a workpiece on the processing table to obtain a first measurement coordinate of each first detection point in a measurement coordinate system; determining an initial normal vector of the end face according to the first measurement coordinate; the end face is perpendicular to a third workpiece coordinate axis of the workpiece coordinate system; the pose of the machining table is adjusted based on the initial normal vector and a base vector of a third measurement coordinate axis of the measurement coordinate system, so that a third workpiece coordinate axis is parallel to the third measurement coordinate axis; detecting the workpiece to obtain a second measurement coordinate of each second detection point in the measurement coordinate system; determining an axial vector of a first workpiece coordinate axis of the workpiece coordinate system under the measurement coordinate system and a first key coordinate of a workpiece key point based on the second measurement coordinate; and determining a calibration conversion matrix according to the axial vector, the first key coordinate and a second key coordinate of the workpiece key point in the workpiece coordinate system. The method can guarantee the machining precision of the numerical control machine tool.

The invention relates to the field of detection and calibration of numerical control machining equipment, and discloses a quick calibration method for a CNC machine tool cutter bit, which comprises the following steps: S1, collecting state data in the operation process of the cutter bit; s2, carrying out preprocessing on the state data; s3, inputting the preprocessed state data into a tool wear identification model, and outputting tool wear state information; s4, acquiring spatial point cloud data of the end part of the tool bit, and calculating spatial error information between the point cloud and a preset tool reference model; and S5, calculating the position offset and the attitude error of the tool bit in the three-dimensional space based on the space error information. By collecting the physical state data in the operation process of the tool bit and combining with the wear recognition model of the time sequence modeling mechanism, the wear state of the tool can be accurately recognized in real time, so that the problem of unstable recognition precision caused by environmental interference in a traditional method is solved, and the recognition accuracy and real-time performance are remarkably improved.

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.

A quality prediction and adaptive compensation method and apparatus for curved surface assembly are provided. The method includes: inputting a geometric error function and a thermal error function into a spatial error model, to obtain a machining error prediction model; superimposing obtained machining errors on a theoretical surface of an assembly surface, to obtain a predicted machining surface; calculating, according to an assembly median plane determined based on the assembly surface, shape errors and assembly gap errors, and predicting curved surface assembly quality of a part by using the shape errors and the assembly gap errors; calculating an adaptive compensation amount of each assembly plane of the assembly surface based on the shape errors, the assembly gap errors, and the machining errors, when the curved surface assembly quality does not meet a preset assembly quality requirement, and compensating the corresponding assembly plane by using the adaptive compensation amount.

The invention belongs to the technical field of thin-wall part machining, and particularly relates to a thin-wall part machining method and system.The thin-wall part machining method comprises the steps that before thin-wall part finish machining, a part blank is subjected to multiple times of cutting machining with the same cutting parameter and cutting track, so that a feeding current curve of each time of cutting machining is obtained; according to the change characteristics of the multiple feed current curves in the same track interval, whether the part blank has an abnormal area on the cutting track or not is judged; when the part blank has the abnormal area, a target feeding curve of the thin-wall part is generated according to the at least one feeding current curve; and cutting the residual material of the thin-wall part according to the target feeding curve. According to the method, the feeding current curve is obtained through multiple times of cutting, abnormal areas such as hardness distribution difference and residual stress distribution difference of the part blank can be accurately positioned through curve fluctuation characteristics, similarity analysis and fluctuation frequency / mean value judgment, and machining defects caused by uneven materials are avoided.

The invention relates to the technical field of automobile part manufacturing, discloses an adjustable multi-angle trimming and deburring device for automobile part machining, and provides a scheme that a trimming machine tool is matched with a multi-angle trimming mechanism to solve the problems that in the prior art, the clearing efficiency of flashes and burrs at a center hole and a heat dissipation groove of a brake disc is low, and positioning is not accurate. According to the device, a four-jaw chuck is driven by a driving motor to rotate a brake disc, a ball screw, a movable block, a connecting rod and other assemblies are utilized, four sets of trimming cutters synchronously trim a center hole, the inner side, the outer side and the bottom face corners of a heat dissipation groove correspondingly, a buffering inserting rod and a spring are combined to absorb impact, and precise operation of the cutters is guaranteed through the design of a deflection rotating shaft, a magnet and the like. According to the scheme, burrs at multiple positions are cleaned at a time, clamping errors are eliminated, energy consumption and cutter abrasion are reduced, the structure is compact, the device is suitable for automatic trimming of brake discs of different sizes, and the machining efficiency and precision are remarkably improved.

The invention provides a machining cutter feeding speed control method and system.The method comprises the steps that a three-dimensional stress field, a temperature field and cutter micro-vibration characteristics of a cutter cutting area are collected through a preset sensor array, and real-time plastic deformation parameters of a workpiece material and machine tool spindle power fluctuation data are combined; forming a corresponding processing state sensing matrix; obtaining a machining constraint condition of the tool, and optimizing the initial particle swarm algorithm through the machining state sensing matrix and the constraint condition to generate a corresponding target particle swarm algorithm; a speed reference curve matched with the cutter is generated in real time through a target particle swarm algorithm, and cutting noise spectrum features are collected through a high-frequency sonic sensor; and performing conversion processing on the speed reference curve and the cutting noise spectrum characteristics to generate a feeding speed matched with the cutter in real time. The feeding speed can be accurately controlled, and the production efficiency is correspondingly improved.

The invention relates to a tool wear compensation control method, device and equipment and a medium, and relates to the field of machining control, the method comprises the following steps: adopting a wear state label with a label to carry out supervised constraint, adopting a Baum-Welch algorithm with label correction to carry out iterative optimization, and adopting a Baum-Welch algorithm with label correction to carry out iterative optimization; enabling the wear detection model to output an optimized state transition probability matrix and an optimized observation probability matrix; the wear feature vectors of different time steps, the optimized state transition probability matrix and the optimized observation probability matrix serve as training samples, the tool compensation amount corresponding to the wear feature vectors serves as a sample label, and a wear compensation prediction model is trained to be in a convergence state; and inputting the wear feature vector of the current time step into a wear compensation prediction model to predict the tool compensation amount of the operation tool in the future time step, and inputting the tool compensation amount into the numerical control machine tool to carry out tool wear compensation. The wear compensation amount of the tool can be predicted in real time and compensated, so that the service life of the tool is prolonged.

The invention relates to the technical field of machine tool clamps, in particular to a chuck clamp with an adjustable clamping angle and an angle adjusting method. Comprising a chuck body and movable clamping jaws, the multiple movable clamping jaws which are annularly and evenly distributed are arranged on the chuck body, a first step and a second step are arranged on the end face of each movable clamping jaw, the multiple movable clamping jaws can be close to or away from the center of the chuck body from the end of the chuck body, and an adjustable clamping plate is movably connected to the positions, close to the center of the chuck body, of the movable clamping jaws. The clamping angle of the adjustable clamping plate is adjusted through an angle adjusting system, the angle adjusting system comprises an adjusting bolt, a controller and a human-computer interface, the adjusting bolt is in threaded connection with the adjustable clamping plate and the movable clamping jaw, and the adjusting bolt is driven by a micro motor. According to the invention, a workpiece with a tapered excircle can be effectively clamped, the inclination angle of the chuck fixture can be accurately controlled, the clamping is simpler and more convenient, the clamping time is shortened, and the workpiece processing quality is ensured.

The invention relates to the technical field of cycloid cyclone separation machining, in particular to a cycloid cyclone separation machining machine tool, system and method capable of synchronously machining multiple teeth. The cutter shafts are used for fixing and driving cutters, and the number of the cutter shafts is at least two; the workpiece driving piece is used for driving the workpiece shaft; the cutter shaft driving part is used for driving the cutter shaft; the cutter shaft regulation and control unit is used for regulating and controlling the position of the cutter shaft; when the machine tool runs, the cutter shaft driving part and the workpiece driving part run according to a preset rotating speed ratio, and the rotating speeds of the cutter shafts are the same. According to the cycloid rotational separation machining tool, multi-tooth synchronous machining can be achieved, and the cycloid rotational separation machining efficiency and precision can be further improved by combining the cycloid rotational separation machining tool with the cycloid rotational separation machining system and method.

The invention relates to the technical field of image recognition, in particular to a shearing behavior dynamic correction method and system based on wear state recognition. Acquiring a digital image sequence of the cutting edge area; constructing an image feature separation network, and performing parallel feature extraction on the preprocessed digital image sequence; identifying a pixel-level high-frequency texture discontinuous region and an edge gradient direction field by utilizing continuity characteristics of a cutting edge surface periodic texture mode to obtain a target defect probability graph; identifying a projection shadow area and a low-frequency illumination halation of the edge of the bulge by using a backlighting imaging model to obtain an interference artifact probability graph; establishing spatial mutual exclusion constraints of the target defect probability graph and the interference artifact probability graph in a pixel space, and generating a defect binary mask; performing multi-dimensional texture feature calculation on an area corresponding to the defect binary mask, and constructing a surface state feature vector; according to the invention, based on the surface state feature vector, the defect mode category is discriminated, and the corresponding shearing correction parameter is generated.