141 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 discloses a grinding state and grinding wheel wear monitoring system and method based on multi-sensor fusion, which realize multi-physical-quantity coupling modeling and improve the monitoring precision through cooperative deployment of micro array thermocouples, strain force sensors and vibration sensors and in combination with a time domain and frequency domain feature extraction technology. The system adopts a non-contact power supply design, electromagnetic induction power generation is driven through rotation of the main shaft, real-time signal processing and wireless transmission of a circuit board in the grinding wheel are supported, and the problem of power supply in a high-speed rotation scene is solved. And meanwhile, dimension reduction processing is conducted on the multi-sensor features through an offline network model, self-adaptive adjustment of grinding parameters and ultrasonic amplitude is achieved through dynamic regulation and control logic, and the downtime and the rejection rate are remarkably reduced. The method has remarkable creativity, practicability and economic benefits, fills the blank of fragmentation monitoring and regulation and control lag in the prior art, and improves the stability and machining quality of the grinding process.

The invention relates to the technical field of metal grinding machining, in particular to a workpiece grinding management method, system and equipment, and the method comprises the following steps: acquiring workpiece information and grinding machining information; a multi-scale management model is established according to the workpiece information and the grinding machining information, and a management threshold value is set in the multi-scale management model; the multi-scale management model obtains a plurality of machining parameters in the grinding machining information according to a set time interval, then the machining parameters serve as initial features, the initial features are fused to obtain management features, through kernel principal component analysis feature fusion and fuzzy control, the abrasion state of the grinding wheel can be dynamically recognized, a nonlinear compensation strategy is generated, and the accuracy of the grinding wheel is improved. Specifically, when principal components extracted through kernel principal component analysis show that the grinding wheel enters an accelerated wear stage, the fuzzy controller can automatically adjust the compensation intensity according to the error change rate, and compensation deviation caused by linear hypothesis in a traditional method is avoided.

The invention discloses a grinding wheel wear degree identification method and device based on adaptive neural fuzzy reasoning. The method comprises the steps that a grinding temperature signal, grinding force and the surface quality of a workpiece are obtained; determining the abrasion stage of the grinding wheel according to the surface quality, the grinding force and the grinding temperature; extracting the total number of thermal pulses in the grinding temperature signal as the number of dynamic effective abrasive particles; a grinding wheel surface topography graph is obtained, abrasive dust and abrasive particle abrasion in the grinding wheel surface topography graph are recognized and distinguished through an HSV segmentation method, the area rate is calculated, and the abrasive dust proportion and the abrasive particle abrasion proportion are obtained; and the abrasive dust proportion, the abrasive particle abrasion proportion and the dynamic effective abrasive particle number serve as input, the abrasion stage serves as output, the self-adaptive neural fuzzy inference system is trained, and the trained self-adaptive neural fuzzy inference system is obtained for abrasion degree recognition. According to the method, the abrasion condition of the grinding wheel can be accurately and conveniently judged by utilizing the self-adaptive neural fuzzy reasoning technology and synthesizing the multi-dimensional characteristic signals in the grinding process.

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 a method for predicting the service life of a diamond grinding wheel of a solid carbide cutter grinding spiral groove, which comprises the following steps that a machine learning module is adopted to estimate the abrasion loss of the grinding wheel diameter along the axial direction of the grinding wheel, and the input quantity of machine learning is cutter parameters, grinding wheel parameters, grinding parameters and other information; the output quantity of machine learning is the abrasion loss of the grinding wheel along the axial diameter; the input quantity of machine learning is substituted into a machine learning module to predict the abrasion state of the grinding wheel; if the set abrasion loss is exceeded, the grinding wheel is refinished and fed back to the machine tool, otherwise, the abrasion state, the grinding wheel information, the grinding path and the spiral groove information of the grinding wheel are substituted into a module for calculating the front angle and core thickness error, the front angle and core thickness error is obtained, and whether the tolerance requirement is met or not is judged; under the condition that the front angle error and the core thickness error meet the requirements, the spiral groove is ground; the shape of a machined spiral groove is obtained multiple times in an image mode and fused into an accurate contour, then the shape of the grinding wheel is calculated according to the enveloping principle, and grinding wheel abrasion information estimated through machine learning is updated. According to the scheme, the service life of the grinding wheel can be remarkably prolonged, the grinding time of the spiral groove of the cutter is shortened, and efficient machining of the spiral groove of the hard alloy cutter is achieved.

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 angle adjusting device of a grinding wheel dresser for a guide roller grinding machine, which relates to the technical field of grinding wheel dressing and comprises a base, an equidistant dressing part connected with a movable seat is arranged on one side of a positioning seat, and a limited angle adjusting part is arranged on the outer side of a turntable. By arranging the equidistant trimming piece, the distance from a diamond pen to the circle center of the rotary disc is adjusted by sliding a movable seat on a positioning seat, connection between the movable seat and a hexagonal sleeve is achieved by screwing a second lead screw, a movable insertion plate is pulled, and a rotary connecting shaft is clockwise rotated by 180 degrees; the diamond pen is used for finishing and grinding the edge of the grinding wheel by rotating the movable seat, and the diamond pen intermittently moves towards the grinding wheel by a certain distance by pulling the limiting bolts one by one anticlockwise, so that the situation that the thickness of the edge of the grinding wheel is large when the diamond pen is used for finishing the grinding wheel once due to the fact that the movable seat drives the diamond pen to directly finish the grinding wheel is prevented; therefore, the problem of uneven abrasion of the grinding wheel caused by excessive pressure of the diamond pen on the grinding wheel is prevented.

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 discloses a spiral bevel gear grinding system deformation error compensation method and system and electronic equipment. According to the method, multiple times of grinding machining are conducted on a spiral bevel gear workpiece through a spiral bevel gear grinding system, and the spiral bevel gear grinding system comprises a laser distance measuring sensor and a force sensor; acquiring first data in each grinding process through a laser ranging sensor, and acquiring second data in each grinding process through a force sensor; according to the first data, grinding wheel abrasion loss and grinding system deformation are calculated; calculating a target normal force of the spiral bevel gear grinding system based on the second data; based on the target normal force and the grinding system deformation, the cutting rigidity and the grinding system rigidity are calculated; and according to the cutting rigidity, the rigidity of the grinding system and the abrasion loss of the grinding wheel, deformation error compensation of the spiral bevel gear grinding system is conducted. The rigidity of the grinding system can be accurately measured, so that intelligent compensation of the deformation error of the spiral bevel gear grinding system is realized.

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.

To provide a grinding device capable of detecting the wear of a grinding wheel with higher accuracy.SOLUTION: A grinding device includes: a grinding mechanism comprising a spindle to which a grinding wheel is mounted at its end, and a motor which rotates the spindle; a notification module; and a controller. On a first surface side of a wheel base of the grinding wheel, a member that has a shorter distance from the first surface to a tip of the member than that of a grinding stone is arranged. The controller performs processing of monitoring magnitude of a load applied to rotation of the spindle during grinding of a workpiece, and processing of causing the notification module to notify of such information when the magnitude of the load deviates from a reference range.SELECTED DRAWING: Figure 2

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 belongs to the field of mobile phone processing, and is a mold opening system for a mobile phone back shell. A mold opening system for a mobile phone back shell includes a housing. There is a feed inlet on the housing. There is an inner cavity inside the housing. A fixed platform is provided on the left side wall of the inner cavity. A third motor is fixedly arranged on the fixed platform. An output bevel gear is provided at the output end of the third motor. A thick rod column is provided on the upper surface of the inner cavity. A transport slide rail is provided on the lower surface of the inner cavity. A protruding platform is provided on the rear side wall of the inner cavity. After the mold opening mobile phone shell enters the grinding machine in the present invention, the excess burrs of the mobile phone back shell are ground by a grinding wheel. Driven by the mechanical mechanism, the grinding wheel moves in a rectangular route, which can accurately grind the mobile phone back shell. When the grinding wheel is worn out excessively, the grinding wheel is replaced to start to improve work efficiency. At the same time, a stopper is adopted to make the position of the replaced grinding wheel more accurate.

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.