2741results about "Automatic grinding control" patented technology

The invention discloses a control method and a control system for magnetic steel polishing, and relates to the technical field of polishing control, and the control method comprises the following steps: setting a magnetic steel positioning center coordinate and a polishing reference point, and configuring a polishing control path; a preset fixed position and a preset fixed posture are collected, and initial polishing process parameters are set in combination with the polishing control path; setting a magnetic steel polishing virtual environment, collecting pressure distribution simulation data of a polishing contact surface, dynamically correcting the feeding speed and the axial deflection angle of a polishing head, establishing a nonlinear mapping model, and adaptively adjusting the polishing power; and a laser contour scanning plug-in is arranged at the tail end of the polishing path, the simulated curved surface and the actually-measured point cloud data are compared for simulation compensation, and a polishing process parameter set is output to execute batch machining control. The technical problems that in the prior art, the grinding precision is not high, and technological parameters are not flexible to adjust are solved, and the technical effects of improving the grinding precision and achieving intelligent optimization of the technological parameters are achieved.

The invention discloses a grinding and polishing control method and system based on sliding mode control, and relates to the field of robot industrial control. The method comprises the steps that a force signal of a force sensor at the tail end of a mechanical arm is collected and decomposed into a normal force component perpendicular to the surface of a workpiece; determining a deviation value between the normal force component and preset target pressure, and constructing a sliding mode surface expression of sliding mode control; determining a force control component according to the force control gain coefficient; position deviation and speed deviation are determined according to the position signals of the joint encoders and a preset polishing track; determining a position control component according to the position deviation, the speed deviation, the position gain coefficient and the speed gain coefficient; constructing a selection matrix, and performing orthogonal decomposition and superposition on the force control component and the position control component to obtain a comprehensive control instruction; and the driving signals are converted into driving signals of the joint motors, and the driving signals are transmitted to the mechanical arm for grinding and polishing. By implementing the method, force control of robot grinding and polishing can be optimized, and response delay is reduced.

The invention relates to the technical field of grinding, in particular to a self-adaptive force control grinding system and method for a complex curved surface machining robot. Three-dimensional point cloud data of a workpiece are obtained through machine vision, gridding processing is carried out, and normal vector and curvature characteristic parameters are calculated; performing operation area division and operation path planning based on curvature characteristics; calculating operation parameters according to the normal vector and curvature characteristics; a self-adaptive impedance control algorithm is adopted, the polishing force is monitored in real time through a force sensor, and the rigidity and damping parameters of the robot are dynamically adjusted; and performing defect identification on the surface image of the processed workpiece by using the deep learning model, and when defects are identified, re-planning the operation path. According to the method, self-adaptive grinding of the complex curved surface workpiece is achieved, and the grinding efficiency and quality of the complex curved surface can be improved.

The invention relates to the technical field of optical engineering, in particular to an AI silicon carbide lens-oriented aspheric laser polishing precision online detection and feedback system. Comprising a detection module; the data processing module is electrically connected with the detection module and used for constructing a lens surface three-dimensional model and calculating polishing precision parameters; the feedback control module is electrically connected with the data processing module, is used for generating a feedback control strategy and comprises a strategy generation unit and a parameter optimization unit; an execution module; and an intelligent learning module. According to the design, a laser measuring head, an energy sensor array and an environment sensor are integrated through the detection module, synchronous acquisition of multi-dimensional data such as surface profile, laser energy distribution and environment parameters is realized, and three-dimensional point cloud data with consistent time and space are generated through multi-modal fusion processing (time domain synchronization, space registration and feature enhancement) of the data preprocessing unit; the physical essence of the polishing process is completely represented, and the detection comprehensiveness and the data relevance are improved.

The invention relates to aluminum alloy pipe machining equipment, in particular to a polishing device for a formed aluminum alloy pipe. The right support and the left support are arranged in parallel at the same height, the left support is provided with an inner polishing part capable of going deep back and forth, and the right support is provided with a rotating part capable of driving a pipe to rotate. According to the grinding device for the formed aluminum alloy pipe, a left support and a right support which are symmetrically arranged form a main body frame, the front end of the left support is provided with an inner grinding part capable of conducting feeding movement in the front-back direction, and the right support is correspondingly provided with a rotating part for driving the pipe to rotate; the rotating part comprises two sets of supporting rollers coaxially installed on the right support, and a plurality of grinding blocks used for grinding the outer surfaces are evenly distributed on the peripheries of roller bodies of the supporting rollers. The inner grinding part carries a moving seat capable of longitudinally sliding through a left support guide rail, a grinding shaft capable of rotating at a high speed is arranged in the moving seat, the tail end of the grinding shaft is rigidly connected with a multi-blade grinding head used for inner wall machining, and progressive grinding of the grinding head in an inner cavity of the pipe is achieved through axial feeding driving of the moving seat.

The invention relates to the technical field of grinding machining, and particularly discloses a crankshaft connecting rod grinding force dynamic error compensation method and system.The method comprises the steps that a prediction reference signal is collected; a grinding force signal of the grinding wheel spindle is collected based on a piezoelectric sensor; extracting spectrum characteristic parameters according to the predicted reference signal; predicting grinding force fluctuation information according to the spectrum characteristic parameters; a feedforward compensation instruction is generated according to the grinding force fluctuation information; generating a feedback compensation instruction according to the difference between the grinding force signal and the target grinding force of the current task; synthesizing the feedforward compensation instruction and the feedback compensation instruction to generate a compensation control instruction; according to the method, a control strategy combining feedforward and feedback is adopted, the response speed and compensation precision of a system to dynamic changes of grinding force are remarkably improved, accordingly, elastic deformation caused by fluctuation of the grinding force is effectively restrained, and finally the grinding machining precision and surface quality of key parts of the crankshaft connecting rod are improved.

The invention provides a control method and system for a surface shape of an optical device, and the method comprises the steps: carrying out the initial grinding and polishing of the optical device, carrying out the real-time detection through a multi-frequency-band stress detector, obtaining the stress distribution and surface wave front data, and obtaining an initial detection result; a phase shift interferometer and a composite laser confocal probe are used to carry out depth surface shape measurement based on the initial detection result, and adaptive finishing is carried out on an abnormal area to obtain a surface shape finishing log; according to the initial detection result and the finishing log, executing step-by-step load irradiation and stress tracking, and collecting surface shape change under photo-thermal coupling to obtain surface shape evolution information; and according to the surface shape evolution information, performing partition dynamic compensation and real-time detection until a surface shape control result meeting requirements is obtained. According to the method, secondary deformation caused by internal stress release is recognized and corrected through combination of multi-frequency-band stress detection and high-precision interference measurement, high-precision control over the surface shape of the optical device is achieved, and the method is suitable for scenes with high requirements for the surface shape of the optical element.

The invention discloses a grinding force online detection control device and method, and relates to the technical field of precision grinding machining force measurement, a spring chuck is arranged in a containing cavity, and the outer wall of a detection shaft section is a tapered conical surface; the threaded gland is connected with the connecting shaft section to axially limit the spring chuck, the mounting handle is provided with a first conical cavity, the threaded gland is provided with an avoiding hole, the piezoelectric sensors are mounted on the detection shaft section, the grinding wheel spindle acts on the piezoelectric sensors through the detection shaft section, and the piezoelectric sensors are used for detecting tangential force, normal force and axial force. The signal amplification processing module can convert charge signals output by the piezoelectric sensor into digital signals and output the digital signals to the terminal, and the terminal can control logic to control the grinding head to maintain constant-force grinding according to a preset grinding force target value. According to the method, all-directional real-time detection and control over the grinding force are achieved, the accuracy and the real-time performance are improved, and a new control method is provided for low-damage machining of hard and brittle materials.

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 an automatic dovetail welding seam grinding control method based on robot visual positioning, and relates to the technical field of visual positioning. The method comprises the steps that after welding is completed, a dovetail welding seam image is collected and converted into a three-dimensional coordinate through a vision algorithm, and a three-dimensional point cloud is generated; smooth interpolation is performed on the three-dimensional point cloud through a B spline curve method to obtain a parameterized curve, and a control point set is optimized through a genetic algorithm to generate a global optimal polishing path; the polishing robot executes a task according to a path, a tail end sensor collects a real-time path and calculates a deviation value with a global path, and when the deviation value exceeds a preset threshold value, inverse kinematics is triggered to solve and correct the path; the hardness of the dovetail weld is measured through laser-induced breakdown spectroscopy, a comprehensive hardness value is obtained in combination with a matrix hardness database, meanwhile, a visual sensor collects the surface state, and polishing process parameters are dynamically adjusted according to the surface state; after the task is completed, the welding seam angle and flatness are detected. According to the method, the optimal path is generated through visual positioning, and automatic grinding of the dovetail welding seam is achieved.

The invention discloses an intelligent hardware grinding system based on machine vision, which comprises a machine vision module used for carrying out image acquisition on grinding of hardware and generating surface feature information and grinding state image feature information of the hardware; the robot grinding module is used for grinding the hardware according to the surface feature information and the grinding state image feature information; the control module is connected with the machine vision module and the robot grinding module and used for adjusting grinding equipment control instruction features and grinding parameters in real time according to the surface feature information and the grinding state image information; according to the method, the target hardware grinding information is subjected to image recognition, the image description set is mined, and accurate path planning is generated and covers shape, size, defect position and other information. According to the method, deviation judgment is carried out on the multiple grinding task events, so that the deviation correction execution strategy is determined, the hardware grinding precision is effectively improved, the hardware rejection rate is reduced, and the hardware production efficiency is improved.

The invention relates to the technical field of grinding regulation and control, in particular to a tool alignment control and grinding machining method suitable for an air compressor shell. According to the method, an initial grinding point of a grinding tool is determined for grinding according to the local distribution condition of the height and thickness of the surface of the shell; according to the grinding temperature and the grinding depth of the grinding wheel and the time sequence change degree in the grinding process, the grinding strength value of the surface of the machine shell is analyzed, and a grinding change trend index is obtained; according to the height and thickness deviation change and the vibration amplitude of the contact area in the grinding process, in combination with a grinding change trend index, parameter adjustment factors of grinding parameters are determined, and the combination of the rotating speed and the feeding speed of a grinding wheel is adjusted in real time for grinding. According to the method, the real-time parameter adjustment factors in the grinding process are determined by combining the grinding real-time strength change with the shell surface quality, correlation adjustment is carried out on the grinding parameters, and the surface adaptability and the grinding effect in the grinding process are improved.

The invention relates to the technical field of polishing, and discloses an intelligent steel rail polishing control method which comprises the following steps: acquiring surface and internal defect data of a steel rail through laser and ultrasonic fusion detection, discretizing the data into multi-dimensional nodes, and constructing a dynamic graph model comprising a microscopic-macroscopic dual-cluster neural network to predict a defect evolution trend; based on fractal dimensions and information entropy, multi-source data are dynamically fused, abnormities are eliminated, chaotic optimization and wear prediction are adopted to generate global optimal polishing parameters, and finally parameter dynamic adjustment is achieved through closed-loop feedback of pulse frequency and control errors. Steel rail defect collaborative perception is achieved through a multi-scale dynamic graph model, fractal-entropy weight dynamic fusion is combined to enhance data reliability, global optimal parameters are generated through chaos optimization and abrasion prediction, accurate grinding is achieved through pulse-error closed-loop control, and the method is simple and convenient to implement. The problems of data fusion failure, defect response lag, parameter local optimization and insufficient control precision in the prior art are solved.

The invention provides a grinding control method, device and equipment for a transmission gear and a storage medium, and the method comprises the steps that a three-dimensional digital model of the transmission gear to be ground is constructed according to multi-dimensional physical parameters and material parameters collected by the transmission gear to be ground; a multi-stage grinding process parameter set is generated according to the three-dimensional digital model and a process parameter database; determining grinding track data of the transmission gear to be ground according to the multi-stage grinding process parameter set and the three-dimensional digital model; performing dynamic simulation on the grinding track data, and optimizing the grinding track data based on simulation feedback; and grinding the transmission gear to be ground according to the optimized grinding track data. A personalized three-dimensional digital model is constructed by collecting multi-dimensional physical and material parameters, accurate generation and optimal control of a grinding track are achieved based on the model and a multi-stage process parameter set, and the machining precision of the gear grinding process is effectively improved.

The invention relates to the technical field of automatic equipment control, in particular to an automatic equipment control system and method and a storage medium. The method comprises the following steps that a high-frequency laser scanner is used for scanning the surface of a target polishing part, B-spline surface fitting is carried out, and a surface fitting surface model is generated; controlling the polishing operation of the polishing industrial robot based on the surface fitting curved surface model, and performing polishing contact state detection to generate contact state point cloud data; based on the contact state point cloud data, grinding expected pose error analysis is carried out, reverse impedance error compensation is carried out, and a reverse impedance compensation amount is obtained; and the joint angle of the polishing industrial robot is corrected through the reverse impedance compensation amount, so that reverse impedance control over the automatic polishing equipment is achieved. By compensating the reverse impedance error of the automatic polishing equipment, accurate control over the automatic polishing process is achieved.

The invention relates to the technical field of machining, in particular to an intelligent control system and method for sapphire substrate polishing, and the method comprises the following steps: S1, surface topography data acquisition: collecting surface roughness data and a three-dimensional topography distribution diagram of a sapphire substrate in real time; s2, generating characteristic parameters: extracting the surface waviness, the local recess depth, the bulge density, the lattice distortion index and the residual stress distribution gradient as the characteristic parameters; s3, dynamic parameter adjustment: generating a dynamic adjustment instruction of the polishing pressure, the rotating speed of the polishing disk and the supply rate of the polishing solution; s4, distribution optimization of the polishing solution: realizing uniform coverage of the polishing solution on the surface of the substrate; s5, stress real-time monitoring: generating a stress abnormity early warning signal; s6, outputting a closed-loop control instruction: feeding back a stress abnormity early warning signal to the adaptive control model, and iteratively correcting the dynamic adjustment instruction; according to the method, the risks of stress concentration and fatigue damage can be reflected in real time, and the safety and high efficiency of the polishing process are ensured.

An offline programming method for a full-six-axis CNC rough machining and polishing device. The method comprises: importing a three-dimensional model of a product into CAM software, interactively setting information of a workpiece coordinate system and a tool coordinate system of the three-dimensional model, selecting a route on which an operation is required, and generating path data; importing the three-dimensional model and the path data into offline programming software, and performing simplification processing on the path data; implementing an overall offset function, a single-point offset function and posture adjustment of the path data in the tool coordinate system; implementing simulation running of a tool and collision detection; on the basis of the path data and tool data, generating an NC program conforming to a program standard; and a six-axis device creating the workpiece coordinate system on the product; and monitoring a running state. Therefore, problems such as the polishing programming efficiency of products of complex structures being low, the follow-up reading, modifying and positioning being time-consuming due to the fact that CAM software exports excessive path data, and there being a certain difference between a model generation path and an actual device running path are solved.

The invention relates to the technical field of automatic control, in particular to a numerical control grinding machine debugging control system based on intelligent industry, which comprises a wear area division module, a grinding wheel regulation and control module, a basic compensation value analysis module, a thermal error compensation module and a management database, according to the system, the abrasion area of the surface of the grinding wheel at each time point is obtained through threshold segmentation of the surface image of the grinding wheel at each time point, and the parameters of the grinding wheel are regulated and controlled based on the deviation value between the actual power and the target power of the grinding wheel at each time point; the instantaneous position error change rate of machine tool motion is calculated by collecting instruction positions and actual positions of machine tool motion at all sampling moments, so that a basic compensation value is obtained through analysis, a thermal compensation value is obtained through prediction of a temperature-thermal error mapping relation, a compensation value is obtained by combining the basic compensation value, and the compensation value is superposed to the instruction positions. And the self-adaptive optimization of the whole polishing process is realized.

The invention relates to the technical field of optical manufacturing and processing control, in particular to an intelligent control system of lens processing equipment, which comprises a process relationship pre-storage module, a pressure distribution acquisition module, a surface shape error prediction module, a pressure compensation decision module, an actuator control module and a processing effect verification module. Wherein the process relation pre-storage module is used for establishing a pressure-removal rate relation mapping table; the pressure distribution acquisition module is used for acquiring pressure distribution data; the surface shape error prediction module is used for predicting surface shape error data generated by the lens; the pressure compensation decision module is used for generating a regionalized pressure compensation amount; and the actuator control module is used for dynamically adjusting the pressure applied to different areas of the lens by the polishing head. According to the method, by constructing the pressure-removal rate mapping and closed-loop self-calibration mechanism, intelligent pressure regulation and control and surface shape error dynamic correction in the lens polishing process are achieved, and the machining precision and stability are remarkably improved.

The invention discloses multi-axis linkage self-adaptive clamping casting polishing equipment of a numerical control machine tool and a control method, and solves the problem that self-adaptive clamping of a casting according to the shape of the casting is inconvenient, the multi-axis linkage self-adaptive clamping casting polishing equipment comprises a workbench and a polishing machine, a top frame is installed above the workbench, and the polishing machine is installed below the top frame; a casting fixing mechanism is arranged on the upper surface of the workbench and comprises a transverse table, a base is arranged below the transverse table, air cylinders are installed at the top end of the base at equal angles, the output ends of the air cylinders are fixedly connected with the bottom wall of the transverse table, a rotating limiting ring frame is installed on the inner side of the transverse table, and a rotating ball is arranged on the inner side of the rotating limiting ring frame. The rotating ball body is limited on the inner side of the rotating limiting ring frame; according to the casting polishing device, the rotating ball body is installed on the inner side of the rotating limiting ring frame, the rotating ball body can horizontally rotate in the rotating limiting ring frame and can also longitudinally rotate, and the polishing position of a casting can be conveniently adjusted.

The invention particularly relates to a grinding force closed-loop control and flutter suppression system for crankshaft variable stiffness machining, and aims to solve the problems of unstable grinding force, flutter and surface defects caused by time-varying stiffness characteristics of a crankshaft due to a multi-crank throw and cantilever supporting structure. The system comprises a grinding force detection module, a control module and an execution module. The grinding force detection module is arranged in a grinding wheel and crankshaft contact area and collects grinding force signals in real time. The control module receives an actual grinding force signal, compares the actual grinding force signal with a target value, and outputs a compensation instruction and a suppression instruction; the compensation instruction is generated by adopting a self-adaptive PID or fuzzy PID algorithm based on force deviation, and the grinding wheel feeding speed or the main shaft rotating speed is dynamically adjusted to stabilize the grinding force; and extracting a high-frequency component of the force signal as a flutter feature, identifying a flutter bud through time-frequency analysis, and generating an anti-phase displacement instruction to suppress flutter. The execution module adjusts feeding or rotating speed according to the compensation instruction and adjusts radial displacement of the crankshaft or the grinding wheel according to the suppression instruction.

The invention discloses a wafer polishing surface type control method, a model training method thereof and a related device, a wafer polishing surface type control model is a generative adversarial network model comprising a generator and a discriminator, and the training method of the wafer polishing surface type control model comprises the steps of obtaining historical processing data; wherein the historical processing data at least comprise actual process control parameters of different stages, before-polishing profile curve data and expected profile curve data; before-polishing profile curve data and expected profile curve data are input into a generator, and predicted process control parameters are output; inputting the predicted process control parameters and the actual process control parameters into a discriminator, and respectively outputting true and false discrimination results of the predicted process control parameters and the actual process control parameters; and iteratively updating the parameters of the wafer polishing surface type control model based on the true and false discrimination result. In this way, the control precision and the production efficiency of the polishing surface type of the wafer can be improved.

The invention discloses a lens polishing control method and system for a sighting telescope, and relates to the technical field of lens processing, and the method comprises the steps: carrying out path position connection according to a control process node, a polishing control position and an execution time sequence relation, and obtaining a polishing preset track; a polishing monitoring image is obtained, polishing target recognition and polishing position positioning are carried out, and a polishing execution track is determined; and through grinding track fitting comparison, track deviation information is obtained, grinding effect evaluation is carried out, grinding effect comparison is carried out according to grinding target parameters, grinding deviation information is generated, and control parameter information is adjusted and controlled. The technical problems that in the prior art, due to the fact that the performance difference of different lens materials is large, the adaptation degree of grinding control parameters is low, and the lens grinding precision and quality are affected are solved, and the technical effects that through real-time evaluation of the grinding track and the grinding effect, self-adaptive optimization of the grinding control parameters is conducted, and the lens grinding precision and quality are improved are achieved.

The invention discloses a method and system for polishing the surface of a steel pipe coated with a stainless steel pipe, and relates to the technical field of steel pipe grinding machining.The method comprises the steps that point cloud data flow and image data flow are input into a defect recognition channel to be recognized, and defect information is positioned; the target steel pipe three-dimensional framework is compared to determine the target grinding workload; dividing the target polishing workload to obtain a target working interval sequence; optimization is carried out based on the pipe data and the expected polishing indexes, and optimized polishing parameters are determined; and mapping calculation is conducted based on the pipe wall interval width and the interval grinding thickness, and a feeding speed change sequence is generated to execute steel pipe rough grinding machining. The technical problems that in the prior art, the steel pipe surface coarse grinding precision is low, and the steel pipe surface coarse grinding quality and the steel pipe surface coarse grinding efficiency are poor due to the fact that the steel pipe coarse grinding feeding speed is low in adaptation degree with the steel pipe surface state are solved, and the steel pipe surface coarse grinding efficiency is improved by improving the steel pipe coarse grinding feeding speed and the steel pipe surface state adaptation degree. The technical effect of improving the precision of rough grinding machining of the surface of the steel pipe is achieved.

A dual mounted end-effector system mounted on a motive robot arm for preparing an object surface is described. The system includes a first tool configured to contact and prepare the object surface and a second tool configured to contact and prepare the object surface. The system also includes a force control. The force control is configured to align, in a first state, with the first tool in position to contact and prepare the object surface and, in a second state, with the second tool in a position to contact and prepare the object surface.

The invention discloses a high-precision deterministic polishing method for dynamically regulating and controlling scanning speed and immersion depth, and belongs to the field of optical polishing. The implementation method comprises the following steps: establishing a relation model between the immersion depth of the magnetorheological polishing method and the balloon polishing method and a controllable time-varying removal function based on a Reynolds equation and a Hertz contact model, and realizing the time-varying property of the removal function by accurately regulating and controlling the immersion depth according to the relation model between the immersion depth and the removal function. The material removal efficiency and controllability are further improved; a processing mode that constant-speed control is adopted in a single-line scanning process and a variable-speed adjusting mechanism is introduced in a line-feed scanning stage is provided, so that the path stability is ensured, and the influence of a dynamic load of a machine tool on precision is reduced; a residence time solving method of single-row constant-speed scanning and line-feed speed changing is constructed, and the accuracy and reliability of residence time solving are guaranteed; and a technology implementation path for dynamically regulating and controlling the scanning speed and the immersion depth is determined, and efficient convergence of the surface shape error and high-precision control over the polishing process are achieved.

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 discloses a cup-shaped arc grinding wheel spherical surface grinding and error compensation method based on a cradle type five-axis machine tool, which comprises the following steps of: acquiring various sizes and process parameters required by spherical surface grinding, and acquiring a motion track of a workpiece grinding spherical surface; based on a cradle type five-axis machine tool, according to the motion trail of the workpiece grinding spherical surface, the end face of the to-be-machined workpiece is ground into a spherical workpiece through a cup-shaped arc grinding wheel; after machining is finished, the surface shape precision of the spherical workpiece is detected, and the surface shape error of the spherical workpiece is measured, so that the position error of the cup-shaped arc grinding wheel is calculated, the machining position of the cup-shaped arc grinding wheel is compensated and adjusted, the movement track of the grinding spherical surface of the workpiece is calculated again, and machining is conducted again till the surface shape error of the spherical workpiece is within the allowable range. The spherical surface machining efficiency is improved, the spherical surface radius precision is improved, and the problem that the tool setting abrasion control precision is limited is solved.

The invention belongs to the field of robot polishing and metal material processing and manufacturing, and discloses a steel plate surface defect detection and self-adaptive polishing system and method, and the system comprises a surface defect detection system, a three-dimensional contour detection system, a roller bed control system, a robot polishing system and a server; the surface defect detection system is used for acquiring types and position information of defects; the three-dimensional contour detection system is used for accurately measuring depth information of the defect; the roller bed control system is used for controlling the movement of the roller bed to transfer the steel plate; the server is used for data interaction and storage among the surface defect detection system, the three-dimensional contour detection system, the roller bed control system and the robot grinding system; and the robot polishing system accurately polishes the surface defects of the steel plate according to the defect position and depth data in the server. The full-process intelligent operation of steel plate surface defect detection, defect three-dimensional contour scanning and robot self-adaptive grinding is achieved, and the automation level and the production efficiency of a production line are effectively improved.

The invention provides a wafer thinning equipment control method and device, electronic equipment and a storage medium, and relates to the technical field of wafer thinning. The method comprises the following steps: monitoring spreading and thinning behaviors of a spin-coating liquid film in real time and generating a residual layer distribution diagram; according to an area indicated by the residual layer distribution map, obtaining local thickness information by analyzing a fluorescence signal received from the area; after a laser beam is used for scanning the surface of the wafer, micro-vibration signals are recognized and extracted by analyzing reflected light signals; dividing the surface of the wafer into a plurality of grid areas; and the risk of generating cracks in each grid area is evaluated, and a wafer surface risk thermodynamic diagram used for controlling the grinding head and the grinding fluid is generated. The method aims at solving a series of problems caused by a microcosmic residual layer on the surface of the wafer or surface energy difference in the wafer thinning process, early and accurate sensing of microcosmic abnormity on the surface of the wafer is achieved, and a control system is guided to conduct regional and self-adaptive grinding parameter adjustment.