88 results about "Wheel wear" patented technology

The invention discloses a metal grinding machine tool grinding wheel wear compensation type intelligent control system, and relates to the technical field of mechanical manufacturing automation, and the system comprises a contact type reference detection module which is used for obtaining the initial contour and reference wear loss of a grinding wheel through discrete point measurement in a non-machining state; the multi-parameter non-contact real-time detection module is used for collecting acoustic emission, vibration and spindle current signals in the grinding process through three types of sensors; the grinding environment sensing module collects the temperature of a grinding area and the cutting fluid concentration; the intelligent control unit receives reference data and an environment signal, performs deep learning on a wear loss prediction model after multi-source data fusion, performs periodic reference calibration, analyzes the dynamic wear loss, and synchronously transmits the data to the data storage and tracing module; the executing mechanism adjusts grinding wheel feed amount compensation according to the dynamic abrasion loss; and the data storage and tracing module stores full-process data in real time. According to the system, high-precision and real-time wear compensation is achieved, the machining precision and consistency are improved, and high-end manufacturing requirements are met.

The invention discloses a ceramic workpiece grinding control system based on vision measurement, which relates to the technical field of ceramic workpiece grinding and comprises a multi-source data acquisition module, a data preprocessing module, a vision measurement and grinding calculation module and a grinding control execution module, the vision measurement and grinding calculation module comprises a vision guide contour deviation module, a grinding allowance calculation module and a grinding feeding speed adjusting module. Self-adaptive grinding is achieved through cooperation of three modules in the vision measurement module and the grinding calculation module, precise deviation is output in combination with parameters such as vision guidance and curvature, a basis is provided for allowance adjustment, allowance is optimized in combination with parameters such as adaptive material characteristics and grinding wheel abrasion, the precision and the material utilization rate are balanced, and the grinding precision is improved. The speed is dynamically adjusted according to the allowance, the temperature and the like, quality and efficiency are considered, and the machining quality, efficiency and the adaptability of the system to different working conditions are improved under multi-source data cooperation.

The invention discloses an end face tool sharpener control system, and relates to the technical field of numerical control systems. The end face tool sharpener control system comprises a data preparation and recording module, a tool type parameter dynamic modeling module, a multi-axis linkage control module, a grinding wheel pressure self-adaption control module, a grinding wheel abrasion compensation module and a technological parameter optimization module. By comprehensively collecting multi-dimensional historical processing data and constructing a set framework, automatic classified storage of parameters is realized; the NURBS curve interpolation algorithm is adopted, and the machining precision and smoothness of the complex shape are guaranteed; instructions are synchronized in real time, errors are compensated, vibration is monitored in combination with an acoustic emission sensor, and machining stability is improved; a fuzzy PID model and machine learning are utilized to dynamically adjust parameters and optimize the parameters in advance; through machine vision and digital twinning, abrasion is accurately recognized, and the finishing period is predicted. And based on the hybrid model and reinforcement learning, predicting a processing result, dynamically adjusting parameters, and performing error compensation and sensitivity analysis.

The invention discloses a numerical control forming gear ring inner tooth grinding machine and a using method thereof.The numerical control forming gear ring inner tooth grinding machine comprises a lathe bed assembly, a numerical control rotary table assembly, a grinding wheel spindle assembly and a workpiece clamping assembly, the lathe bed assembly adopts a mineral casting base, the damping coefficient is larger than 10%, and a linear guide rail is installed on the lathe bed assembly; s3, grinding feeding and indexing; S4, grinding stage control; S5, track correction; S6, grinding wheel wear compensation; through a mineral casting base of the lathe bed assembly, an angle encoder of the numerical control rotary table assembly and a CBN material formed grinding wheel of the grinding wheel spindle assembly, the effect of improving the machining precision is achieved; through the steps S2, S4 and S5, the effect of optimizing the machining quality is achieved, the tooth profile error and the surface roughness are effectively controlled, and the machining quality of the inner gear ring is improved; and through S1, S3 and S6, the effect of improving the machining stability and reliability is achieved, and the machining stability and reliability of equipment are improved.

The present invention relates to the technical field of wheel-rail material friction and wear. Provided is a three-dimensional wheel-rail wear map construction method taking ambient temperatures and material properties into consideration. The method comprises: 1) on the basis of wheel-rail rolling friction and wear experiments under different contact parameters, obtaining the friction and wear performance of a wheel material under the condition of different ambient temperatures and different wheel-rail hardness ratios, and constructing a function relationship between a wheel wear rate and the dissipated energy per unit area of a wheel-rail contact patch under a series of conditions with different ambient temperatures and wheel-rail hardness ratios; 2) performing function fitting on experimental data to respectively obtain a three-dimensional wheel wear map taking ambient temperatures into consideration and a three-dimensional wheel wear map taking wheel-rail material hardness ratios into consideration; and 3) selecting a two-dimensional reference wear map, and by means of normalization processing, constructing a three-dimensional wheel wear map simultaneously taking ambient temperatures and material hardness ratios into consideration. On the basis of a constructed wear map, the present invention can preferably predict a wheel wear behavior under the condition of different ambient temperatures and different material properties.

The invention discloses a machine tool grinding wheel wear identification method based on fusion dynamic signals and decoupling training, and the method comprises the steps: obtaining multi-source dynamic signals of a grinding wheel in different wear states, carrying out the feature extraction, splicing the extracted features, and obtaining fusion features; training a deep neural network model by taking the fused features and the corresponding wear states as a training set, wherein the deep neural network model comprises a feature extractor and a classifier; firstly, a deep neural network model is preliminarily trained based on a training set, preliminary network parameters of a feature extractor are frozen, decoupling training of the model is achieved, and the trained deep neural network model is obtained; and multi-source dynamic signals in the machining process of the machine tool are obtained in real time, and the abrasion state of the grinding wheel is obtained through the trained deep neural network model. Accurate monitoring of the abrasion state of the grinding wheel of the gear grinding machine tool is achieved through multi-source signals, and the accuracy and credibility of tool damage identification are improved through decoupling training.

The application relates to the technical field of variable intake timing mechanism processing equipment, and particularly discloses a variable intake timing mechanism and processing equipment thereof, which comprises a main body frame arranged in a square structure and connected with the ground at the bottom end; a fixing assembly is arranged at the top end of the main body frame and used for fixing a processing component; a grinding assembly is arranged at the top end of the main body frame and used for grinding the side edge of the processing component to reach the use standard of the processing component; and a detection assembly is arranged at the top end of the main body frame and in contact with one end of the processing component. The detection assembly can quickly detect the shaft center of the camshaft, and the detection process can be realized in the use process, so that the accuracy of the equipment in the use process can be monitored, personnel can be timely reminded to adjust the position of the camshaft, the grinding wheel wear is avoided to reduce the processing effect of the camshaft, and the grinding process is more stable.

The utility model belongs to electromechanical equipment technical field especially relates to a kind of electromechanical equipment surface polishing device, including polishing machine main body, the front end of polishing machine main body is fixedly installed with polishing head, dust hood is movably installed below the polishing head, the side surface of dust hood is equipped with air pipe for connecting fan, the inside of the polishing machine is equipped with buffer mechanism.The electromechanical equipment surface polishing device, dust removal mechanism is matched by fan, dust hood, rubber ring and spring one, adsorbs dust, enhances sealing, adapts to different surface, solves dust pollution and other problems;Buffer mechanism uses the floating design of spring two to unload force, reduces impact force, reduces polishing wheel wear, protects equipment, while the setting of ball in polishing machine reduces the friction between components, improves operating stability and smoothness while extending the service life of equipment.

The utility model provides a testing device for a guide wheel, and the device comprises a first lead screw module which is transversely disposed on a wall; the second lead screw module is vertically arranged on the first lead screw module, a fixing block is in transmission connection with the second lead screw module, and a guide wheel is fixed to the fixing block through a plurality of fasteners; and the table body is placed on the ground and corresponds to the bottom ends of the guide wheels. When different pressures are required to be applied to the guide wheel to simulate the wear resistance under circulating rolling, the second screw rod module drives the fixed block to ascend or descend by a corresponding distance so as to drive the guide wheel connected with the fixed block to make contact with the table body tightly. Therefore, the abrasion condition of the guide wheel under the corresponding pressure in the circulating rolling duration can be tested. According to the utility model, a user can apply different pressures to the guide wheel through adjustment so as to test the wear resistance of the guide wheel under different pressures in the circulating rolling duration, and the guide wheel wear resistance testing device has the advantages of practicability and high efficiency.

The invention discloses a CBN grinding wheel non-contact type grinding high-temperature alloy taper hole abrasion prediction method, and relates to the technical field of state monitoring and intelligent prediction in the precise grinding machining process. The method mainly comprises the following steps: calibrating a dynamic contact arc acoustic propagation model by using a system identification method to obtain dynamic geometric parameters, and constructing acoustic-vibration geometric coupling characteristics in combination with multi-mode signals in a grinding process; correcting the acoustic-vibration geometric coupling features by using a maximum mean difference algorithm and an adaptive window algorithm, training a wear prediction model by using the corrected acoustic-vibration geometric coupling features, and performing regression analysis on the corrected acoustic-vibration geometric coupling features by using the trained wear prediction model to obtain a prediction result. According to the grinding wheel abrasion prediction method for high-temperature alloy taper hole grinding, the adaptability, robustness and sensitivity of abrasion state characterization under complex variable working conditions can be improved.

The invention relates to the field of machining modeling, in particular to a camshaft non-circular contour high-speed grinding surface topography dynamic modeling method, which comprises the following steps of: acquiring a mixed signal to obtain a source signal component corresponding to grinding wheel wear; signal features with high correlation with grinding wheel wear are selected to be combined with the grinding wheel abrasive particle wear area to jointly construct an abrasive particle wear online prediction model based on FAW-DELM; measuring the surface appearance of the grinding wheel, setting the grinding particle exposure height to obey normal distribution, calculating the grinding wheel grinding particle exposure height through the real-time grinding wheel grinding particle wear area, dynamically adjusting the mean value of the normal distribution, and combining the measured grinding particle space distribution calculation result to establish a grinding wheel surface appearance dynamic simulation model; establishing a single abrasive particle grinding motion trajectory equation considering vibration; and the grinding surface topography is generated in combination with the grinding wheel surface topography dynamic simulation model and the single abrasive particle grinding motion trajectory equation considering vibration. Dynamic analysis can be carried out, and the accuracy is high.

The invention discloses split bar machining equipment which is used for grinding the front end face of a split bar composed of a small-diameter section, a transition section and a large-diameter section which are sequentially connected from front to back, the split bar machining equipment comprises a feeding device, a grinding device and a discharging device, and the feeding device comprises a feeding pipe mechanism, a transfer mechanism and a pushing mechanism; the separated bars are output to the transfer mechanism one by one through the feeding pipe mechanism and moved to the front side of the pushing mechanism through the transfer mechanism, the separated bars on the transfer mechanism are pushed forwards into the grinding device in the axial direction of the pushing mechanism through the pushing mechanism, and the discharging device is used for pushing the ground separated bars away from the carrying rotary disc one by one. The device is high in integration and automation degree, the feeding function block is arranged at the grinding station to be matched with the intermittently-rotating material carrying rotary disc, the problems that the micro drill point is prone to being broken and abrasion of a grinding wheel is accelerated during grinding machining are effectively solved, the machining precision is improved, the product quality is guaranteed, meanwhile, the machining efficiency is high, and the production cost is reduced.

The invention relates to a high-precision grinding mechanism, which relates to the technical field of metal cutting machine tools, and comprises an upper and lower grinding wheel movement and tray planar movement combined mechanism. By creating an automatic grinding wheel plane grinding technology, the abrasion uniformity of the grinding wheel is greatly improved, the cost of the grinding wheel is remarkably saved, the high precision of the grinding wheel plane is kept for a long time, and the grinding flatness precision, the free height precision and the perpendicularity precision stability are greatly improved.

The application provides a high-efficiency spiral flute tap batch grinding method based on a non-dominated sorting genetic algorithm (NSGA-II), which can accurately realize tap consistency grinding and improve efficiency. First, the wear and diameter change law of a forming grinding wheel is established based on an actual grinding condition; second, a forward calculation method improved based on an engagement principle is used to calculate a tap radial flute type according to a normal section type of the grinding wheel; then, the flute type corresponding to the grinding wheel in different wear and diameter states is calculated to establish the influence law of the grinding wheel wear on the flute type; the influence law of the grinding wheel wear on the flute type is verified through a grinding test and a Canny operator visual recognition; finally, the NSGA-II algorithm is used to optimize a grinding wheel clearance angle, eccentricity and inclination angle combination, and the accuracy of the algorithm is verified through a test. The application belongs to the field of mechanical engineering.

The present application relates to the technical field of grinding wheel wear prediction of knife grinder, and discloses a kind of grinding wheel wear state determination method of multi-station scalpel blade grinding machine, collects acoustic emission source signal data, grinding power and abrasive grain height of grinding wheel, carries out pre-processing and obtains data set by feature extraction;Acoustic emission source signal and grinding power are used as the input variable of random forest model, and the abrasive grain height of the grinding wheel is used as the output variable, to establish RF detection model;The CPA algorithm is improved, and the optimal RF detection model is obtained by optimizing the hyperparameters of the RF detection model using ICPA;The optimal RF detection model is used to detect the grinding wheel wear state with the current collected acoustic emission source signal and grinding power as input, to obtain the abrasive grain height of the grinding wheel under the current state, and further obtain the wear state of the current grinding wheel.Compared with the prior art, the present application provides a kind of grinding wheel wear state determination method, so that the control system more simply obtains the feed amount of grinding wheel, thereby compensating the grinding wheel.

The invention provides a wheel wear detection method and system. The method comprises the following steps: calculating a measurement parameter value of wheel tread measurement data; determining a control point coordinate and a curve weight factor according to the measurement parameter value, and constructing a tread curve after wheel abrasion according to the control point coordinate and the curve weight factor; calculating a difference area of a difference region between the tread curve after wheel abrasion and the wheel tread measurement data, and performing iterative optimization on a curve weight factor according to the difference area to obtain a weight factor combination; and obtaining the operation mileage of the to-be-tested train wheel, and determining the wheel abrasion value according to the operation mileage and the weight factor combination. According to the embodiment of the invention, the quantitative mapping relation between the abrasion characteristic parameter and the wheel abrasion value is constructed by taking the weight factor combination as the abrasion characteristic parameter, so that the corresponding wheel abrasion value can be automatically calculated after the operation mileage of the train wheel to be measured is obtained, and the specific condition of wheel abrasion can be intuitively reflected.

The application discloses a centerless grinding machine tool rest and a grinding wheel wear detection system for metal guide wire processing, and relates to the technical field of centerless grinding machines.The centerless grinding machine tool rest comprises a tool rest bottom plate, a guide wire side limiting plate, a tool rest plate, a blowing joint, a blowing plug, a measuring gas joint and a sealing ring.The centerless grinding machine tool rest is installed on a grinding feed mechanism of a grinding machine, and a blowing small hole and a measuring gas hole are arranged.The compressed air of the blowing small hole blows cutting fluid in a grinding process into a ring groove of a grinding wheel.The measuring gas hole is connected with a pneumatic flow meter.A grinding wheel is provided with a dressing ring.The wear of the grinding wheel is determined by comparing the difference between the air flow through the measuring gas hole and blown to the dressing ring of the grinding wheel and other parts.During the wear of the grinding wheel, the wear amount of the diameter of the grinding wheel is determined through the conversion of the above flow difference.The grinding feed mechanism drives the tool rest to move close to the grinding wheel by the same distance, so as to compensate the wear of the grinding wheel and realize the long-time stable production of the metal guide wire.

The invention relates to the technical field of track maintenance equipment, and particularly discloses an automatic grinding wheel compensation device which comprises a fixing frame, a first oil cylinder, a control valve, an adjusting cylinder and a height sensing arm. The first oil cylinder is arranged on the fixing frame, one end of a first supporting piece below the first oil cylinder is located in the first oil cylinder and provided with a first piston, the other end of the first supporting piece is provided with a grinding wheel milling and grinding machine, and the first piston divides the interior of the first oil cylinder into a first upper oil cavity and a first lower oil cavity. The control valve is arranged on one side of the first oil cylinder, the control valve is communicated with the first upper oil cavity and the first lower oil cavity through a pipeline, and the valve plate is slidably arranged in the control valve to control connection and disconnection of the pipeline; a guide piece with the cross section area changing in the axial direction and a push-pull disc making contact with the side face of the guide piece are arranged in the adjusting cylinder, and the push-pull disc is in linkage with the valve plate through a push-pull rod. The height sensing arm is connected between the guide piece and the upper end face of the rail. The method has the advantage that the abrasion of the grinding wheel and the height change of the track can be automatically compensated in real time.

The present application belongs to the technical field of industrial robot polishing system, and discloses a flexible polishing method and system based on real-time detection of grinding wheel wear, which comprises the following steps: constructing a polishing parameter regression model; acquiring real-time grinding wheel wear state characteristic parameters; constructing a set of multi-dimensional control matrix, i.e., a grinding wheel wear state real-time detection module, based on the grinding wheel wear state characteristic parameters and in combination with the regression model parameters in the polishing process; and dynamically adjusting the polishing path, polishing force and process parameters according to the multi-dimensional control matrix to realize adaptive polishing control in different wear stages. The present application realizes intelligent polishing with dynamic adjustment of polishing strategy by fusing the grinding wheel wear parameters and the regression model parameters in the polishing process to construct a polishing control matrix.

The invention discloses a control method based on visual identification and an automatic cutter sharpening system, the control method based on visual identification comprises a compensation step: an image sequence of a disc-shaped grinding wheel is acquired, and the image sequence comprises a plurality of first images; preprocessing a plurality of first images of the image sequence to obtain a plurality of first binary images; and performing image synthesis on the plurality of first binary images by adopting a preset algorithm to obtain a synthesized contour image. And identifying the radius variation of the disc-shaped grinding wheel based on the synthesized contour image and the standard contour image. And a compensation configuration matched with the radius variable quantity is inquired, and position compensation is conducted on the sharpening mechanism based on the compensation configuration. Adjustment can be accurately carried out in real time according to the abrasion condition of the grinding wheel based on the visual identification and position compensation mode, the situation that the tool grinding quality is reduced due to abrasion of the grinding wheel is effectively avoided, and stable and reliable continuous production is achieved.

The utility model is suitable for the technical field of laminating machine, provides a kind of elastic damping structure of laminating wheel, including carrier plate, the both sides of carrier plate are symmetrically equipped with laminating wheel, the bottom surface of carrier plate is equipped with mounting block, the axle of mounting block is equipped with, the axle is passed through laminating wheel, the top surface of carrier plate is located in middle and is equipped with cylinder, the inside of cylinder is equipped with U-shaped frame, the both sides of U-shaped frame and the inner wall of cylinder are connected by rod axle, the bottom surface between U-shaped frame and the bottom surface of cylinder is symmetrically equipped with first damping spring;Optimal, the top of U-shaped frame is equipped with frame, and the bottom surface between U-shaped frame and frame is equipped with connecting block.The first damping spring of U-shaped frame bottom surface is set and the auxiliary elastic damping component is set, and the laminating wheel is elastically buffered, not only guarantees laminating effect, and reduces laminating wheel wear, improves service life.

The invention provides a three-axle bogie suitable for a shunting locomotive and the shunting locomotive, and relates to the technical field of railway vehicle bogies. The three-axle bogie comprises a rack, a wheel pair, an axle box body, a triangular pull rod and a single pull rod; the rack is provided with a first shaft mounting position, a second shaft mounting position and a third shaft mounting position; the wheel pairs comprise a front-end wheel pair, a middle wheel pair and a rear-end wheel pair; the axle box body comprises a front axle box body, a middle axle box body and a rear axle box body; the triangular pull rod comprises a front-end triangular pull rod arranged between the outer side of the front axle box body and the rack and a rear-end triangular pull rod arranged between the outer side of the rear axle box body and the rack; and the single pull rod is arranged between the middle shaft box body and the rack. Through the optimal configuration, the driving stability of the wheel set is ensured, the transverse force of the wheel rail is reduced, and the abrasion of the wheel is reduced. In addition, the space between the adjacent wheel pairs is effectively released, the axle distance of the bogie is shortened, and therefore the capacity of a vehicle for passing through a small-radius curve is improved.

The application discloses a control method based on visual identification, a cutter automatic sharpening system, and the control method based on visual identification comprises a compensation step: acquiring an image sequence of a disc-shaped grinding wheel, the image sequence comprising a plurality of first images. The plurality of first images of the image sequence are preprocessed to obtain a plurality of first binary images. The plurality of first binary images are synthesized into a synthesized contour image by using a preset algorithm. Based on the synthesized contour image and a standard contour image, the radius variation of the disc-shaped grinding wheel is identified. A compensation configuration matched with the radius variation is queried, and the sharpening mechanism is positionally compensated based on the compensation configuration. The mode based on visual identification and position compensation can adjust in real time and accurately according to the wear condition of the grinding wheel, effectively avoids the decrease of cutter polishing quality caused by the wear of the grinding wheel, and realizes stable and reliable continuous production.

To provide a technique capable of properly making a truing plan for wheel with improved determination accuracy for a wheel uneven wear detection system for railroad vehicle that detects wheel uneven wear based upon vibrations during a vehicle travel.SOLUTION: A wheel uneven wear detection system 1 for railroad vehicle samples, by a sampling part 221, a measured value of an acceleration sensor 21 at an interval of a fixed distance while a railroad vehicle 41 travels in a predetermined section. An arithmetic part 222 calculates a vibration processing value due to wheel uneven wear from measured values sampled by the sampling part 221. A management device 23 accumulates and stores vibration processing values for the predetermined travel section. A statistical processing part 122 statistically processes the vibration processing values for the predetermined travel section that the management device 23 accumulates and stores. A determination part 123 compares the statistical processing values that the statistical processing part 122 calculates with a threshold value TH to determine a state of wheel uneven wear.SELECTED DRAWING: Figure 1

This invention provides an analytical method for determining the wear amount of small-diameter ball-end grinding wheels in ultra-precision grinding based on reciprocating scanning using a laser displacement sensor. It relates to the field of ultra-precision machining technology and addresses the problems of existing measurement methods being susceptible to interference signals and machine tool vibrations, and the unsuitability of contact measurements for analyzing the relatively small wear of small-diameter ball-end grinding wheels. This invention uses a laser displacement sensor to calibrate the wheel axis tilt angle β; it uses the laser displacement sensor to reciprocately collect relative displacement data of the ball-end grinding wheel, and performs data filtering and noise reduction processing to fit the ball-end grinding wheel profile dimensions; by comparing the ball-end grinding wheel profile dimensions with those of a reference ball-end grinding wheel, the wear amount of the ball-end grinding wheel after ultra-precision grinding is obtained. This invention achieves real-time, in-situ monitoring of the radial profile dimensions of the ball-end grinding wheel, contributing to the realization of efficient and high-precision ultra-precision grinding processes.

The application discloses a spiral groove forming grinding wheel wear optimization method, and particularly relates to the following steps: firstly, modeling the parameterized model and motion equation of the grinding wheel; secondly, quantifying the wear degree of the grinding wheel by adding the grinding curve length of each grinding wheel sheet through the envelope principle; finally, iteratively calculating the optimal grinding wheel installation position and the minimum wear forming grinding wheel profile by adopting the particle swarm optimization algorithm to the grinding wheel position. The application ensures the machining precision of the spiral groove by compensating the position of the grinding wheel according to the particularity of the spiral groove forming grinding process, improves the service life of the forming grinding wheel, and reduces the manufacturing cost of the numerical control cutter.

The invention discloses an online laser monitoring and positioning device and method for abrasion of a grinding wheel, and relates to the technical field of abrasion detection of the grinding wheel. The device comprises a mounting base, a multi-station grinding wheel polishing assembly, a main laser detection assembly, an auxiliary laser detection assembly and a cleaning assembly. The device can monitor the abrasion state of a grinding wheel in real time in the grinding process of the grinding wheel. The cooling structure is arranged to dissipate heat of the detection assembly, the cleaning assembly is arranged to clean the detection surface, and the calibration structure is used to realize laser beam focusing calibration, so that the influence of environmental interference on the detection precision is reduced, the detection stability and continuity are improved, and the detection precision is improved. And moreover, integrated cooperative work of grinding, detection, cleaning and calibration can be conveniently achieved, the reliability and practicability of online monitoring of abrasion of the grinding wheel can be improved, and the problems that in the prior art, abrasion detection of the grinding wheel is prone to dust pollution, heat is accumulated, and calibration is difficult are solved.

The invention provides a diamond grinding wheel wear prediction method which comprises the following steps: performing three-dimensional morphology observation on the surface of a grinding wheel through a high-resolution microscope or a scanning electron microscope to obtain geometrical characteristic data of abrasive particles, and then selecting nine typical abrasive particle shapes based on the observation data to perform three-dimensional modeling to construct an abrasive particle database; performing single-abrasive wear simulation on different workpiece materials in finite element simulation software to obtain data such as wear depth, wear volume, temperature field and grinding force, and establishing a single-abrasive wear database; and finally, mapping the single-abrasive-particle wear data into a grinding wheel abrasive particle database through wear mapping and accumulation, predicting the overall wear condition of the grinding wheel through iterative accumulation, and evaluating the average wear depth, the wear volume and the failure abrasive particle proportion of the grinding wheel based on the accumulated wear data so as to accurately predict the overall wear state of the grinding wheel. The grinding precision and efficiency are improved, the machining quality is kept, the production efficiency is improved, and the service life of the grinding wheel is prolonged.

The application discloses a grinding wheel wear state online identification method and device based on current and acoustic emission signals, and relates to the technical field of gear machining control. The application carries out online monitoring on the wear state of the grinding wheel in the gear grinding process, combines multi-source grinding information of the spindle current signal and the grinding wheel acoustic emission signal to respectively obtain a current time-frequency domain multi-source feature vector reflecting macro load change and an acoustic emission time-frequency multi-scale feature matrix reflecting microscopic wear behavior, and further realizes accurate online identification of the wear state of the grinding wheel through the following steps: firstly, pre-splicing the two into a multi-channel input tensor through a grinding wheel wear state identification model; secondly, efficiently extracting multi-source multi-domain grinding features based on a high-efficiency convolutional neural network architecture; thirdly, modeling the extracted features in a time sequence feature to obtain accurate hidden states based on a bidirectional gate recurrent mechanism; and finally, realizing accurate online identification of the wear state of the grinding wheel through classification prediction.