8501results about "Grinding feed control" patented technology

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 grinding wheel monitoring, in particular to a centerless grinding machine full-life-cycle grinding wheel state monitoring system and method.According to the centerless grinding machine full-life-cycle grinding wheel state monitoring system and method, through combined difference extraction of a main shaft current mean value fluctuation ratio and a power gradient continuous variation value and assisted by transverse comparison of periodic response intervals, effective recognition of time period boundaries of working condition states is achieved; according to the method, operation stage division does not depend on static threshold judgment any more, a track trend is established through linkage judgment of an amplitude kick point and a slope extreme value, a dynamic evolution path of signal response is clearer, the identification resolution of abnormal changes and local deviation trends is improved, response synchronous identification of parameter state changes is achieved, and the identification accuracy is improved. In multi-signal collaborative analysis, directivity comparison between a temperature rise mutation fragment and a current residual error response is carried out, so that the consistency analysis capability of response logic between different monitoring paths is enhanced, and the real-time performance, stability and anti-interference capability of state identification are 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 discloses a glass ceramic thickness detection method and a related device, and the method comprises the steps: obtaining a vibration signal generated in a glass ceramic thinning and grinding process, and extracting a vibration dominant frequency, a frequency spectrum centroid frequency and a frequency band energy distribution ratio as thickness characteristic parameters through fast Fourier transform processing; three-dimensional position coordinates of the grinding head are obtained, space mapping and weighted average processing are conducted on the thickness characteristic parameters, and space distribution of the thickness characteristic parameters is obtained; performing process interference compensation and sliding window time sequence smoothing processing according to the grinding process parameters to obtain stable thickness characteristic distribution; based on the stable thickness feature distribution and the current grinding process, final thickness distribution is predicted, and a thickness qualification pre-judgment result is obtained; and extracting a time sequence change characteristic of the thickness characteristic parameter as a vibration evolution index, and performing comprehensive quality evaluation in combination with a thickness eligibility pre-judgment result. According to the scheme, the thickness can be detected in real time in the thinning and grinding process of the microcrystalline glass, and the production efficiency is improved.

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 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 present invention belongs to the field of quality control of processed products, and discloses a digital twin control system for product processing quality. The digital twin control system establishes a real-time interactive digital twin system completely matched with an actual processing system according to the working principle of a CNC (Computer Numerical Control) system and the control strategy of a feedback loop of each moving part of the machine tool, extracts real-time following errors of each moving part of the machine tool during processing under different load fluctuations with respect to control needs for product processing quality, and establishes a dynamic digital twin control system for product processing quality through point-to-point real-time mapping, so as to achieve real-time monitoring of product quality. Processing parameters under stable following errors can be obtained based on the established digital twin control system to achieve real-time control of product processing quality.

The invention provides an industrial robot automatic control method and device and a computer readable storage medium, and the method comprises the steps: extracting the surface features of a to-be-polished workpiece through an image recognition technology, and controlling the initial force and torque of an end effector of an industrial robot based on the surface features of the to-be-polished workpiece; the surface temperature fluctuation of the workpiece in the to-be-polished process is monitored through a temperature sensor of the end effector of the industrial robot, and then the force and torque of the end effector of the industrial robot are adjusted; and power and state data in the polishing operation process are collected in real time, whether abnormal conditions exist or not is pre-judged through the deep learning technology, and the polishing operation is stopped immediately once the abnormal conditions are found. By means of the method and the corresponding device, the industrial robot can achieve intelligent automatic adjustment in the grinding and polishing process, and high performance and high reliability are kept under the complex working condition.

The invention relates to the technical field of semiconductor chemical mechanical polishing, in particular to a pressure-adjustable double-frequency ultrasonic-assisted semiconductor chemical mechanical polishing device which comprises a rotary table, and a tray, a lower vibration plate, an upper vibration plate, a magnetic sheet and a polishing pad are sequentially stacked and fixed to the upper surface of a table plate of the rotary table from bottom to top. A piezoelectric ceramic piece is fixed to the middle of the lower surface of the upper vibration plate, a retaining sleeve is eccentrically placed on the upper surface of the polishing pad, a threaded sleeve is in threaded connection with the upper end of the outer side face of the retaining sleeve, a damping spring is fixed to the outer top face of the threaded sleeve, a supporting piece is fixed to the upper end of the damping spring, and an inner ring of a second electric sliding ring is fixed to the upper surface of the supporting piece. A transmission shaft is fixedly assembled in an inner ring of the second electric slip ring, a clamping sleeve is fixed to the lower end of the transmission shaft, and an ultrasonic vibrator is fixedly assembled in the clamping sleeve. The method solves the problems that an existing semiconductor chemical mechanical polishing technology is low in polishing speed, poor in surface quality after polishing and low in polishing qualification rate, and is suitable for semiconductor chemical mechanical polishing.

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 relates to the field of wafer processing, and discloses a wafer grinding and polishing adjustment control system based on a tension sensor, which comprises a processing pressure acquisition module for acquiring the gravity of a heavy object, acquiring the tension of an electric cylinder in real time based on the tension sensor, calculating the processing pressure through a formula, and acquiring grinding state parameters of a wafer in real time; the processing pressure stability analysis module comprises a first analysis unit and a second analysis unit; the first analysis unit is used for calculating the accumulated variable quantity of the processing pressure in a preset monitoring period, comparing the accumulated variable quantity with a change threshold value and sending out an alarm signal; the second analysis unit inputs the grinding state parameters into a grinding state model to analyze a grinding state value, and reversely evaluates the state of the grinding disc; the adjusting control module adjusts the pulling force of the electric cylinder based on the first analysis unit and judges whether the grinding disc is replaced based on the second analysis unit. Accurate monitoring and stability control of the machining pressure are achieved, the state of the grinding disc can be effectively evaluated, and the wafer grinding and polishing quality and efficiency are 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 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 present invention discloses a rapid prototyping precision mold manufacturing welding device in the field of mold welding technology, aiming to solve the problems of low positioning efficiency, poor adaptability, reduced precision and unstable quality caused by the separation of welding and grinding in traditional mold manufacturing welding devices. The device includes a workbench, a quick fixing mechanism and a welding and grinding mechanism; a load-bearing frame and a controller are arranged on the top of the workbench; the quick fixing mechanism contains a control turntable, a clamping part, a control part and a driving part, through which the clamping part can be synchronously approached or moved away, adapting to molds of different sizes and improving positioning accuracy and efficiency; the welding and grinding mechanism integrates welding parts and grinding parts, which run synchronously and are located on the same horizontal plane, reducing transportation time and cost, avoiding secondary clamping errors, and improving welding and grinding quality. In addition, the device also has the advantages of stable load-bearing, smooth operation, convenient operation, and a high degree of automation, which can effectively improve the production efficiency and product quality of precision mold manufacturing.

The invention discloses a double-force-control automatic compensation method and double-force-control grinding and polishing integrated device.According to the technical scheme, the double-force-control automatic compensation method comprises the steps that workpiece surface crystal orientation data are obtained through a diffraction pattern, and a crystal orientation distribution matrix is generated through denoising and clustering analysis; dividing a crystal orientation region and associating the friction coefficient, hardness and other mechanical properties; based on the material removal rate distribution matrix, a gradient algorithm is adopted to correct grinding tracks and cutting parameters of all areas, and a compensation track matrix is generated; and double-force-control feedback of normal force and tangential force is combined, the abrasive particle contact force and the feeding rate are dynamically adjusted, and a closed-loop compensation strategy is formed. Through crystal orientation partition optimization and double-force-control dynamic compensation, the problem that compensation is insufficient in the grinding process of the glass crystal is solved, and high-precision and self-adaptive surface machining is achieved.

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.

The invention discloses a surface grinding machine self-adaptive control optimization method for mold component manufacturing, and belongs to the technical field of intelligent manufacturing. The method comprises the steps that machining prediction modeling is conducted on manufacturing design information through the digital twinning technology; a mold component manufacturing data set of the surface grinding machine is collected and obtained, and retrieval matching is conducted on the basis of the manufacturing design information and the mold component manufacturing data set; carrying out processing production and real-time monitoring on the target mold component based on the target grinding machine processing parameters; performing processing prediction on the real-time processing data of the mold component by using the digital twin model of the mold component; and adaptive optimization is carried out on the target grinding machine machining parameters based on the mold component prediction manufacturing information, and adaptive optimization control is carried out on the target mold component through the grinding machine optimization machining parameters. The technical problems that in the prior art, die component machining parameters cannot be dynamically optimized, and machining precision and efficiency are difficult to meet at the same time, so that machining quality is unstable, and trial and error cost is high are solved.

The invention relates to the technical field of grinding equipment, in particular to an aluminum foil mill roller grinding device which comprises a rack, a centering clamping assembly and a grinding assembly, the centering clamping assembly is arranged on the rack and used for clamping a roller and enabling the roller to rotate around the axis of the roller, and the grinding assembly comprises a shell, a grinding disc, a supporting column and a damping ring. The shell is slidably arranged on the rack, the grinding disc is rotatably arranged on the inner side of the shell, the axis of the grinding disc is horizontal, and the grinding disc can rotate around the axis of the grinding disc. The grinding device is provided with the supporting column and the grinding block, the grinding block is hinged to the periphery of the supporting column, and the grinding block is configured to be capable of rotating so that the grinding face of the grinding block can always keep linear contact with the peripheral face of the roller; therefore, the grinding block is not in linear contact with the roller due to different abrasion losses of the two ends of the grinding block at the grinding contact position of the grinding block and the roller, the grinding quality is guaranteed, and meanwhile the grinding efficiency is improved.

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 a polishing process for improving local flatness of a silicon wafer, which belongs to the technical field of semiconductor manufacturing, and comprises the following operation steps of: 1, pretreating the silicon wafer, cleaning the silicon wafer, activating the surface of the silicon wafer, removing surface impurities and an oxide layer, and preparing for subsequent polishing; secondly, partition parameter setting is conducted, the wafer is scanned, the surface of the wafer is divided into a plurality of different areas, and independent polishing parameters are set for each area according to the material characteristics, the thickness and the preset flatness target of each area; and thirdly, dynamic polishing is conducted, specifically, multi-axis linkage polishing equipment is adopted, and the movement tracks and working parameters of the polishing head in different areas are dynamically adjusted in real time according to preset partition parameters. Through silicon wafer pretreatment, partition parameter setting and dynamic polishing process monitoring and feedback adjustment mechanisms, polishing process parameters can be accurately controlled, deviation in the polishing process can be corrected in time, and stability and consistency of polishing quality are ensured.

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 belongs to the technical field of wood polishing, and discloses a woodcarving blank corner polishing device which comprises a device box and supporting legs fixedly arranged on the bottom wall of the device box. The woodcarving blank corner grinding device further comprises a contact force self-adjusting assembly arranged on the device box and a semi-linkage coupling control assembly arranged on the contact force self-adjusting assembly, the hardness of wood can be automatically detected, the contact force and the rotating speed can be correspondingly adjusted, when hard wood is treated, the rotating speed of the device is automatically reduced through the Newton's second law, and the grinding efficiency is improved. When softwood is treated, an equipment stop lever and a stop block rotate synchronously, rotating speed synchronization of a rotating cylinder and a second electric motor is achieved, machining efficiency is improved, the Hooke's law is utilized, wood hardness is converted into piston displacement, high-frequency rapid grinding is achieved, meanwhile, contact force is reduced, and wood damage is prevented; through a full-automatic closed-loop control system, automatic and efficient blank plate machining is achieved.

The invention relates to the technical field of automobile part machining, and particularly discloses a crankshaft machining optimization method and system.The method comprises the steps that a grinding force signal and a vibration signal in the grinding process are collected; grinding feature information is obtained according to the grinding force signal, and vibration feature information is obtained according to the vibration signal; material hardness information is generated according to the grinding feature information; grinding stability information is generated according to the grinding feature information and the vibration feature information; on the basis of a preset strategy library, parameter adjustment amount is generated according to the material hardness information and the grinding stability information, and the parameter adjustment amount comprises feeding speed adjustment amount and / or grinding depth adjustment amount; according to the method, a grinding force signal and a vibration signal which are acquired in real time based on a sensor are converted into quantitative information reflecting the material hardness and the grinding stability, and the parameter adjustment amount is dynamically generated according to the real-time information based on a preset strategy library, so that the effect of considering the machining efficiency and the stability is achieved.