119 results about "Wheel wear" patented technology

The invention relates to the technical field of grinding machining, and discloses a blade grinding wheel abrasion loss online compensation method which comprises the steps that a dynamic hexagonal detection grid is constructed based on the rotating phase of a grinding wheel, non-repeated high-density sampling is achieved through a Fibonacci spiral expansion path, a detection area is dynamically adjusted to reduce the overlapping rate, and the blade grinding wheel abrasion loss is obtained. Micron-sized wear transition is accurately captured; dispersing the abrasion loss into minimum compensation units, constructing a dynamic state equation in combination with grinding force, dressing displacement and workpiece errors, introducing an attenuation coefficient related to the service life of a dressing wheel, and automatically correcting a model drift error; a grading triggering strategy of residual uncompensated quantity is adopted, dynamic decision making of a processing period is combined, and through integral multiple compensation and a margin temporary storage mechanism, it is ensured that long-term accumulative errors are restrained at the submicron level while overmodulation oscillation is avoided. Through the synergistic effect of space-time coupling detection, discrete-continuous double-domain modeling and intelligent compensation decision, the grinding wheel abrasion compensation precision and the system stability are remarkably improved.

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 relates to the technical field of grinding machining, in particular to a grinding wheel abrasion online monitoring method and a grinding wheel grinding device. The monitoring method comprises the steps that S1, an acceleration sensor is arranged on a fixing structure so as to measure vibration signals of the X axis, the Y axis and the Z axis, and a temperature sensor is arranged on a grinding sample piece; s2, connecting the acceleration sensor and the temperature sensor to a dynamic data acquisition device, and connecting the dynamic data acquisition device to a computer; s3, inputting the original vibration signal numerical value matrix into a DE-DVMD data processing module, and denoising and reconstructing the original vibration signal numerical value matrix; and S4, assembling numerical matrixes of the denoised vibration signals and the original temperature signals, and inputting the assembled numerical matrixes into the trained grinding wheel wear state evaluation model to obtain the theoretical wear state of the grinding wheel. The problems that an existing grinding wheel abrasion state monitoring system is high in cost and not suitable for industrial field monitoring are solved.

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 automobile part grinding constant-force grinding device, and relates to the technical field of constant-force grinding, the automobile part grinding constant-force grinding device comprises a longitudinal adjusting assembly, a transverse adjusting assembly, a clamping assembly, a grinding assembly and a grinding wheel wear monitoring assembly, the three-direction force sensing module is used for measuring the stress variation of the clamping assembly in the X-axis direction, the Y-axis direction and the Z-axis direction, the total grinding force direction and amplitude are obtained, the control terminal receives data and controls the Y-axis motor, the X-axis motor and the Z-axis motor to conduct position compensation on the clamping assembly, the grinding force is adjusted in real time through closed-loop feedback control, quick response is achieved, and the grinding efficiency is improved. A longitudinal damping vibration attenuation module and a transverse damping vibration attenuation module are arranged in the grinding assembly, damping force is changed through current, the influence of vibration on grinding force adjustment is reduced, the grinding wheel abrasion monitoring assembly can obtain abrasion data of abrasive particles on the surface of a grinding wheel through a laser detection module, and the abrasive particles can be replaced in time after abrasion exceeds a threshold value.

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 an automobile brake disc brake surface grinding machining device, and relates to the technical field of automobile brake disc machining, the automobile brake disc brake surface grinding machining device comprises a supporting shaft, the top of the supporting shaft is connected with a machining part in a clamped mode, one side of the supporting shaft is slidably connected with a sliding block, the top of the sliding block is fixedly connected with a supporting column, and the two ends of the supporting column are symmetrically and fixedly connected with two end plates; the supporting column is sleeved with a lifting sleeve, and the two ends of the lifting sleeve are symmetrically and fixedly connected with mounting plates. Supporting discs are rotationally connected to one sides of the mounting plates, the supporting discs are oppositely arranged, bases are fixedly connected into the supporting discs, and a lifting plate is rotationally connected between the bases; a mounting disc is placed in the supporting disc, one face of the mounting disc is fixedly connected with a grinding wheel, the other face of the mounting disc is fixedly connected with lifting teeth, and the lifting teeth abut against the corresponding lifting plates. The device has the advantages that the height of the grinding wheel can be adjusted in real time according to the abrasion condition of the grinding wheel, sufficient contact pressure is given to the automobile brake disc, and grinding efficiency and quality are guaranteed.

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 invention relates to the technical field of nut machining, in particular to a brake lead screw nut finish machining device and a machining process, and the machining process comprises the steps that grinding state data, machine tool parameter data and a hardness value of a brake lead screw nut in the grinding process of the brake lead screw nut are obtained, and grinding force differences are analyzed respectively; the difference between the lead angle of the brake screw rod nut and the maximum swing angle of the machine tool spindle and the difference between the feeding speed of the fine grinding wheel and the maximum feeding speed are determined; in addition, the hardness value is combined, and the difference between the abrasion loss of the grinding wheel and the initial radius of the grinding wheel is utilized, so that a grinding force adaptive factor, a lead angle compensation factor and a grinding wheel abrasion compensation factor at the current moment are obtained; and adjusting the feeding speed of the fine grinding wheel by using all factors. Dynamic regulation and control of the fine grinding wheel are achieved by adjusting the feeding speed, and the finish machining effect on the brake lead screw nut is 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 invention provides a grinding wheel wear state monitoring method and related products, and the method comprises the steps: obtaining a grinding force signal and a vibration signal in a grinding wheel grinding process, obtaining a historical grinding wheel wear state training sample in a database, and splicing the grinding force signal and the vibration signal to obtain a feature component matrix; constructing an improved CNN-GRU model based on the historical grinding wheel wear state training sample by using a whale optimization algorithm to obtain an optimal performance monitoring model; and inputting the characteristic component matrix into the optimal performance monitoring model, and calculating to obtain abrasion state information of the grinding wheel. The method for detecting the abrasion state of the grinding wheel through the optimal performance monitoring model is formed, and the problem that hidden features in data are difficult to comprehensively extract through an existing grinding wheel state monitoring method based on a deep learning model is solved.

The utility model relates to the technical field of building construction equipment, in particular to a steel bar rust removal device which comprises a fixing base, a machining box, a steel bar body, a stabilizing assembly, a rust removal assembly and a mounting assembly. The processing box is arranged on the fixed seat; the reinforcing steel bar body penetrates through the processing box; the stabilizing assemblies are arranged on the fixing base, located on the two sides of the machining box and used for stably conveying the reinforcing steel bar bodies. The rust removal assembly is arranged in the processing box and comprises a rust removal mechanism for removing rust from the reinforcing steel bar body and a rotating mechanism for driving the rust removal mechanism to rotate; the mounting assembly is arranged on the rust removal mechanism and used for rapidly replacing the rust removal mechanism in the working state. By arranging the mounting assembly, when the grinding wheel needs to be replaced, the replacement process can be simplified, the man-hour cost of maintenance personnel is reduced, and meanwhile, the downtime is shortened, so that the overall economic benefit of equipment is improved; and efficiency reduction or operation quality reduction caused by abrasion or failure of the grinding wheel can be avoided.

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 application provides a grinding wheel wear state monitoring method and related products, the method comprising: obtaining a grinding force signal and a vibration signal of a grinding wheel grinding process, and obtaining a historical grinding wheel wear state training sample in a database, splicing the grinding force signal and the vibration signal to obtain a feature component matrix; using a whale optimization algorithm, based on the historical grinding wheel wear state training sample, constructing an improved CNN-GRU model to obtain an optimal performance monitoring model; inputting the feature component matrix into the optimal performance monitoring model to calculate the grinding wheel wear state information. A set of methods for detecting the grinding wheel wear state using the optimal performance monitoring model are formed, and the problem that existing grinding wheel state monitoring methods based on deep learning models cannot comprehensively extract hidden features in data is solved.

The utility model discloses a rail wheel wear resistance detection device, and specifically relates to the wheel wear resistance detection tool technology field, the rail wheel wear resistance detection device comprises a detection box, the top surface of the detection box is symmetrically provided with a plurality of slide rails, the plurality of slide rails are internally connected with a slide plate in a sliding manner, the outer side of each slide rail is provided with a through groove, and the through groove is provided with a through hole. According to the utility model, when in use, the operation is simple, the relative rotation wear detection between the wheel and the track body and the brake wear detection between the wheel and the track body can be selected as required, the detection efficiency is improved, and the detection cost is reduced. Meanwhile, during brake wear detection, the initial speed of the wheel body can be endowed, the laying length of the track body is reduced, the relative rotation wear of the wheel body and the track body is reduced, and brake wear detection is more accurate.

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 invention relates to the technical field of super-hard grinding tool preparation, in particular to a resin grinding wheel for hard alloy cutter polishing and a preparation method of the resin grinding wheel. Forming a bonding layer on the outer circumferential surface of the base body layer; forming an abrasive material layer on the outer circumferential surface of the bonding layer; wherein the abrasive material layer comprises the following raw materials in parts by weight: 45-55 parts of diamond abrasive particles, 12-18 parts of modified epoxy natural rubber, 3-5 parts of a sulfur-zinc oxide vulcanizing agent, 3-4 parts of a vulcanization accelerator, 20-30 parts of modified polyurethane and 1-3 parts of a nano dispersant, and the resin grinding wheel has the characteristics of low roughness and low grinding wheel wear ratio.

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 utility model provides a railway vehicle wheel wear detection device, which belongs to the technical field of wheel wear degree detection, and comprises a track, a wheel, a wheel axle and a detection device, the inner and outer side surfaces of the track are provided with open slots, the track is provided with the wheel in a rolling manner, the wheel axle is arranged in the center of the wheel in a penetrating manner, and the detection device is mounted on the wheel axle; through the arrangement of the detection device, when the wear degree of a vehicle is detected, a rotating roller on a bottom plate is attached to the upper portion of an open groove in a track, a sleeving ring is connected to a wheel shaft in a sleeving mode, a first spring is in a stretching state, then a wheel rolls on the track, the wheel shaft drives the detection device to move, and the rotating roller rolls below the open groove, so that the wear degree of the vehicle is detected. Whether the guide column moves up and down along the guide cylinder is observed according to the millimeter scales on the guide column, if the guide column moves up and down along the guide cylinder, the wheel is out of round, and if the guide column and the guide cylinder do not move relatively, the wheel is normal, operation is easy, and use is convenient.