2458 results about "Grinding process" patented technology

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

The invention discloses a mine semi-autogenous grinding process analog simulation method and system based on discrete elements, and relates to the field of analog simulation, and the method comprises the steps: according to a crushing characteristic label and a parameter mapping matrix, fusing Internet of Things sensor data, constructing a particle size distribution prediction model and an energy consumption optimization scheduling strategy, and obtaining an energy-saving operation plan; comparing the simulation data set with field production data, adjusting multi-phase coupling particle model parameters, generating a calibration parameter set, researching the influence law of semi-autogenous mill operation parameters by adopting a control variable method based on the calibration parameter set, obtaining a performance index database and an analysis report, and fusing multi-sensor data and laser radar data to obtain a semi-autogenous mill operation parameter analysis result. An ore grinding process sensing mechanism and optimization control logic are constructed, and a visual interface is generated; through multiphase modeling and data driving optimization, the simulation precision and the process suitability are comprehensively improved, and an efficient and economical solution is provided for the mine semi-autogenous grinding process.

The invention discloses a metal mine crushing and grinding process simulation and prediction method and system, and relates to the technical field of grinding control, and the method comprises the steps: collecting whole-size distribution data, ore component data and ore grade, transmitting the data to an edge calculation node for data cleaning, extracting key feature parameters, and generating an ore genetic map vector; the actual whole-size distribution data and the equipment energy consumption data are compared with operation parameters, and when any data exceeds a preset prediction threshold value, a time delay cause and effect graph is constructed, fault equipment is positioned, and an equipment health degree report is output; and according to the equipment health degree report, generating an adversarial sample by adopting a generative adversarial network, injecting the adversarial sample into the digital twinborn model, reconstructing grinding process parameters to complete self-calibration of the digital twinborn model, and updating a pre-stored typical ore sample. The working condition adaptability of the grinding process is improved through a dynamic gene matching mechanism.

The invention belongs to the technical field of metallurgical engineering, and relates to an intelligent guide grinding system and method for the surface of a casting blank. By arranging the parameter initialization module, the parameter compensation module and the deviation correction module, the problem of unstable grinding quality caused by grinding force fluctuation, temperature change and material difference in the casting blank surface grinding process is solved. The method specifically comprises the steps that the feeding speed is dynamically adjusted by collecting grinding force data in real time, thermal deformation compensation is conducted according to the casting blank temperature and the steel grade characteristics, the upper limit value is determined based on quantitative analysis of surface state parameters and historical standard samples, and adaptive adjustment of the next round of coping parameters is achieved. According to the method, the consistency of the grinding depth is effectively improved, the over-grinding risk in the high-temperature casting blank grinding process is prevented, closed-loop optimization and continuous improvement of the grinding process are achieved, the stability and reliability of the casting blank surface grinding quality are improved, and it is ensured that the product quality cannot be affected by surface defects in the subsequent rolling process of the casting blank.

The invention belongs to the technical field of image processing, and particularly relates to an ore grinding and screening monitoring method and system based on image particle size analysis, and the method comprises the steps: collecting an ore image, generating a distance transformation diagram, and constructing an extreme value topology network; calculating the relative topology significance of adjacent maximum value points, and constructing a peak-valley independence index in combination with the spatial distance; performing iterative fusion on the maximum value points based on the peak-valley independence index to obtain a final mark set; and performing watershed segmentation by taking the final mark set as a seed, calculating ore particle size cumulative distribution, extracting a characteristic particle size index, and adjusting grinding process parameters according to the characteristic particle size index. Through the combined constraint of the relative topology saliency and the peak valley independence index, the method can adapt to multi-scale features and effectively eliminate the interference of the surface texture of the ore, solves the problem of over-segmentation caused by rough surface in the traditional method, and realizes the real-time optimization, energy conservation and consumption reduction in the grinding process.

The invention discloses a rubber roller grinding method which comprises the following steps: acquiring a size parameter of a rubber roller, setting an initial coarse grinding parameter of coarse grinding equipment based on the size parameter, dispersing the contour of the rubber roller into a plurality of control points, performing primary coarse grinding on the rubber roller according to the coarse grinding parameter and a coarse grinding path, acquiring a coarse grinding contour value of the rubber roller, and calculating a first difference value, adjusting the feeding pressure in the coarse grinding process based on the correlation between the grinding data and the first difference value, updating the initial coarse grinding parameter into a final coarse grinding parameter, performing secondary coarse grinding on the rubber roller based on the final coarse grinding parameter, collecting the finish degree of a fine grinding finished product, and comparing the finish degree with a second preset value to obtain a quality judgment result. The precise size parameters of the rubber roller are obtained through the multispectral three-dimensional scanner, the control precision of the surface quality of the rubber roller is improved, the production efficiency of the surface quality control of the rubber roller is improved through the automatic coarse grinding and fine grinding processes, and the grinding consistency of the rubber roller is enhanced through data-based difference calculation and parameter adjustment.

The invention discloses a special grinding aid for gold ore and a preparation method thereof, and belongs to the technical field of mineral processing, the special grinding aid for gold ore comprises the following raw materials: a monomer, an initiator, a chain transfer agent and a solvent; the monomers are an unsaturated polyether monomer A and an unsaturated carboxylic acid monomer B; or a monomer C containing an ethylenically unsaturated sulfonic acid group. The preparation method comprises the following steps: putting the raw materials into a water bath kettle, and polymerizing in a separate dropwise adding manner to prepare the special grinding aid for the gold ore. The prepared grinding aid can improve the problems of particle agglomeration, low fine grinding efficiency, low gold dissociation efficiency and the like in the gold ore grinding process, the concentrated utilization of the grinding aid limited in the fields of cement, ceramics and the like is improved, the grinding energy consumption can be reduced, and the material quality can be improved.

The utility model discloses a tissue single cell constant-temperature grinder which comprises a base, a test tube support is arranged on the base, at least one test tube groove used for placing test tubes is arranged on the test tube support, a top support is arranged above the test tube support, and grinding rods are arranged at the positions, above the test tube grooves, of the top support. The top support is provided with a driver used for driving the grinding rods, and the base is provided with a lifting mechanism used for driving the top support to ascend or descend, and is characterized in that a heating water tank is arranged on the base, the top of the heating water tank is provided with insertion grooves below the test tube grooves, the bottoms of the test tubes are located in the corresponding insertion grooves, and the test tubes are arranged in the insertion grooves. A temporary storage groove is formed in the position, close to the front side of the heating water tank, of the inserting groove. The utility model provides a tissue single cell constant-temperature grinder which can automatically grind tissue cells, so that the grinding stability is good, the efficiency is high, and meanwhile, the temperature in the tissue cell grinding process can be ensured.

According to the brake disc ring surface accurate grinding equipment, by arranging the pressing and swinging mechanism, an assembly can be pressed and swing in a reciprocating mode between the first base table and the second base table, and the stability and the positioning precision in the grinding process are guaranteed; by arranging the detection mechanism with the lower surface of the joint as the unified reference, detection of the grinding amount is achieved, meanwhile, closed-loop feedback can be provided for the ring surface grinding mechanism, and the thickness consistency and the surface flatness of two ring surfaces are guaranteed; the first grinding device and the second grinding device which can ascend and descend are arranged, the grinding feeding amount is dynamically adjusted according to the detection result, and self-adaptive accurate grinding of the assembly swinging in a reciprocating mode is achieved. Meanwhile, through organic combination of a detection mechanism, a pressing mechanism and a grinding mechanism, multiple times of clamping and manual transferring are reduced, and the production takt time and the automation level are improved. The equipment can effectively guarantee the precision and repeatability of accurate grinding of the brake disc assembly, improve the parallelism and surface smoothness of the ring surface, improve the brake performance and meet the industrial continuous machining requirement.

The invention discloses automatic stone grinding and dust removing equipment integrating negative pressure adsorption and filtration, and relates to the field of stone grinding, the automatic stone grinding and dust removing equipment comprises a cutting machine, a grinding mechanism and a machining supporting platform, the cutting machine is used for cutting stone, a stone outlet is formed in the cutting machine, and the cut stone is discharged from the stone outlet; the machining supporting platform is arranged at the bottom of the stone outlet and used for bearing the stone, and the grinding mechanism is used for grinding the stone on the machining supporting platform. When stone is placed on the machining supporting platform, the machining supporting platform is provided with a part of suction holes not covered by the stone, and when a negative pressure fan is started in the grinding process of the stone, the negative pressure fan can suck dust into the machining supporting platform, so that the dust falling effect is achieved, and the dust falling problem is solved from a cutting source.

The invention discloses a method for forming a shallow trench isolation structure, and belongs to the technical field of semiconductors, the method for forming the shallow trench isolation structure comprises the steps of forming a first stop layer on a substrate, etching the first stop layer and a part of the substrate, and forming a trench; an insulating material is deposited in the groove and on the first stop layer, a second stop layer and a sacrificial layer are sequentially deposited on the insulating material, and the insulating material, the second stop layer and the sacrificial layer are provided with recesses in the groove; the sacrificial layer is ground and thinned until the second stop layer is exposed, and part of the sacrificial layer is reserved at the concave position of the second stop layer; and synchronously etching the second stop layer and the sacrificial layer until the second stop layer is completely removed. A stop layer and a sacrificial layer are deposited on an unground insulating material, the height difference of a wafer surface film layer is preliminarily compensated by using a grinding process, and then the residual film layer is synchronously consumed by using an etching process, so that the height difference of the insulating material is reduced, and the difficulty of a CMP (Chemical Mechanical Polishing) process is reduced.

The invention relates to the technical field of machining, in particular to a grinding wheel polishing process monitoring system. The device specifically comprises the following modules: a grinding wheel polisher is used for polishing the surface of a workpiece; the data acquisition module is used for acquiring operation parameters in the grinding wheel polishing process in real time; the data processing and analyzing module is used for processing and analyzing the acquired operation parameters; the visual monitoring module is used for carrying out visual display on the analyzed information; the intelligent adjusting module automatically adjusts operation parameters of the grinding wheel polisher according to the analysis result; and the fault detection alarm module is used for detecting abnormal conditions in the grinding process and sending out an alarm signal. The novel grinding wheel polishing process monitoring system provided by the invention has the functions of comprehensive data acquisition, real-time data processing and analysis, intelligent fault detection and alarm, friendly user interaction interface and remote monitoring and alarm, and has important practical significance for improving the efficiency, quality and safety of the polishing process.

The invention relates to the technical field of dressing plant control, in particular to a LightGBM-based one-key ore grinding grading control method, which comprises the following steps of: preprocessing collected iron ore grinding production data through an industrial internet of things to obtain production data, constructing a data-driven dynamic prediction model by utilizing a LightGBM algorithm, and combining time-space lag cross-correlation and flattening data input to obtain a one-key ore grinding grading control model. And deploying the trained lightweight model to a PLC control layer, and completing optimization and adjustment of corresponding key process parameters. The method has the advantages that by collecting production data in real time and utilizing the LightGBM algorithm to construct the dynamic prediction model, key variables such as the rotating speed and the ore feeding amount of the mill can be accurately and dynamically adjusted, the ore grinding process is optimized, no-load and overload operation of the mill is reduced, and compared with a traditional control method, the ore grinding efficiency is remarkably improved; operators only need to set target parameters, key parameters such as the rotating speed and the ore feeding amount of the mill are optimized in real time through the LightGBM model, it is ensured that the ore grinding fineness stably reaches the standard, and frequent intervention and adjustment are not needed.

The invention provides an ore grinding efficiency optimization method and system based on ore quantity measurement. Comprising the following steps of S1, real-time ore quantity metering and data collection, wherein an ore quantity metering device is installed at an ore feeding port of the ore grinding process, and ore quantity data entering ore grinding equipment are collected in real time; meanwhile, a plurality of sensors are arranged in the ore grinding equipment and related processes, and ore property data, ore grinding equipment operation parameter data and ore grinding product quality data are collected. According to the ore grinding efficiency optimization method and system based on ore quantity metering, data are collected in real time through the high-precision ore quantity metering device and multiple sensors, accurate sensing of ore quantity fluctuation and ore property changes is achieved, the problem that parameter adjustment is not in time due to manual judgment delay or errors is solved, and the ore grinding efficiency optimization efficiency is improved. And the real-time performance and accuracy of the ore grinding process are improved.

The utility model relates to the technical field of tool grinding machines, in particular to a tool grinding machine facilitating online replacement of a grinding wheel, which comprises a machine body, a working turntable, a clamping spindle, a mounting seat, a supporting seat and a spare grinding wheel component. A clamping main shaft for driving a tool to rotate is fixedly mounted on the upper side of the working turntable; and a second sliding table capable of moving the mounting seat up and down and left and right is mounted on the upper side of the rear part of the lathe bed. The grinding wheel replacing device is reasonable and compact in structure, grinding wheels can be automatically replaced according to the grinding process, the grinding requirements of various tools can be met, grinding wheels or grinding wheel combinations of various specifications can be prepared according to the grinding process before the tools are ground, the time for manually replacing the grinding wheels is shortened, and the grinding efficiency is improved. Safety risks existing in the process of manually replacing the grinding wheel are reduced, meanwhile, accurate matching can be achieved in the process of replacing the grinding wheel of the tool grinding machine, and therefore errors of a grinding tool are reduced, and grinding quality is improved.

The invention relates to the technical field of grinding machine on-line detection, and discloses a grinding machine working process on-line monitoring system, which comprises a data acquisition module for acquiring vibration, acoustic emission and environment signals and generating an original multi-dimensional signal vector; the data preprocessing module is used for preprocessing the original multi-dimensional signal vector to generate a purified signal set; the working condition inversion module is used for performing real-time inversion on a technological parameter estimation value of current grinding machining; the anomaly detection module is used for calculating and quantifying an anomaly score of the anomaly degree of the current working condition based on the purification signal set; the adaptive adjustment module is used for generating a dynamic threshold value according to the process parameters and comparing an abnormal score to judge an abnormal state; and the decision fusion module fuses the abnormal state and the environment humidity and generates a decision instruction. According to the method, the material hardness of the machined workpiece is estimated in real time, and the abnormal threshold value is dynamically adjusted according to the hardness estimation value, so that normal signal fluctuation and equipment faults caused by switching of normal working conditions are effectively distinguished, and false alarms caused by process changes are avoided.

The invention discloses an intelligent control method for precise grinding of a robot, and the method comprises the steps: obtaining the information of a to-be-ground workpiece and initial grinding parameters, and the initial grinding parameters comprise the load gravity of the tail end of the robot; generating a target contact force based on the to-be-ground workpiece information and the initial grinding parameters; constructing a gravity compensation model through preset coordinate parameters based on the load gravity at the tail end of the robot; in the grinding process, grinding force data are collected in real time; on the basis of the grinding force data, actual contact force is obtained through a gravity compensation model; comparing the actual contact force with the target contact force to generate a contact force deviation and a deviation change rate; based on the contact force deviation and the deviation change rate, a force-position hybrid control instruction is output through a fuzzy PID controller; and on the basis of the force-position hybrid control instruction, control adjustment parameters of the robot are generated. By forming a complete intelligent control closed loop, constant-force grinding can be achieved, and the problems of uneven surface roughness, excessive grinding and the like are effectively solved.

The invention discloses a PINN-based grinding temperature prediction method and a transfer learning model, and belongs to the field of slow feed grinding and the technical field of neural networks. The method comprises the following steps: establishing an unsteady state heat conduction control equation, and defining a composite boundary condition; calculating the heat flux density of a heat source based on set grinding process parameters and workpiece material characteristics; constructing a PINN temperature prediction model; based on sparse temperature measurement data, a gradient optimization algorithm is adopted to dynamically invert and correct a heat conduction coefficient and a convective heat transfer coefficient; establishing a transfer learning mechanism, and accelerating solution of a PINN temperature prediction model under a new working condition; high-risk regions exceeding the critical damage temperature of the material are identified based on the predicted temperature field, and processing parameters are optimized to prevent grinding burns. According to the method, the unsteady heat conduction equation is embedded into the neural network, empirical formula constraint is replaced, and the physical consistency of the dynamic process is ensured; meanwhile, the method can achieve the inversion of key physical parameters based on a very small number of temperature measurement points, and solves a problem of boundary condition uncertainty.

The invention provides an automatic detection method and system for the grinding machining surface of a precision workpiece, and belongs to the technical field of precision workpiece machining detection.The method comprises the steps that multi-mode image data of the grinding machining surface of a target precision workpiece and grinding parameters in the machining process are obtained; performing fusion preprocessing on the multi-modal image data to generate fused image features; feature extraction and cleaning are conducted on the grinding parameters, and grinding process features are generated; inputting the fused image features into a first-stage defect screening model to obtain a first detection result; when the existence confidence of any first defect is greater than a preset first confidence threshold, inputting the grinding process features into a defect mode diagnosis model to obtain a defect mode diagnosis result of the suspected defect area; determining a target defect detection model according to the defect mode diagnosis result; and inputting a part, corresponding to the suspected defect area, in the fused image feature into a target defect detection model to obtain surface defect geometric feature parameters of the suspected defect area.

The invention relates to the technical field of household flour mills, in particular to an environment-friendly and dust-suppression flour milling device for corn flour processing, which comprises a motor shell and a crushing cup arranged on the motor shell, a square rotating shaft is arranged on the motor shell, a guide plate is arranged in the crushing cup, a flour milling assembly is movably arranged in the crushing cup, and the motor shell is provided with a motor. The corn grinding device has the function of grinding fed corn for multiple times, meanwhile, feeding can be adjusted to a certain degree in the whole grinding process, the corn can continuously enter a whole grinding area to be ground, and through cooperation between an arranged crushing arc plate and an annular grinding disc, when the whole corn is ground, the grinding efficiency of the corn is improved, and the corn grinding efficiency is improved. According to the intelligent corn machine disclosed by the invention, the corn kernels are subjected to primary crushing operation, and the treated corn kernels are put into the grinding area between the first grinding disc and the second grinding disc to be ground, so that the whole grinding speed can be increased, and meanwhile, the energy consumption of the whole intelligent corn machine during use can be reduced.

The invention discloses a traditional Chinese medicine grinding control system, which relates to the technical field of traditional Chinese medicine grinding control and comprises a medicinal material characteristic sensing module, an intelligent calculation analysis module, a dynamic execution adjustment module, a multi-mode optimization control module and a system coordination updating module. The medicinal material characteristic sensing module collects physical and texture characteristic data of medicinal materials; the intelligent calculation and analysis module fuses the medicinal material processing knowledge base and historical grinding process data to generate initial grinding control parameters; the dynamic execution adjustment module adjusts the operation parameters of the grinding mechanism in combination with the real-time grinding state data; the multi-modal optimization control module monitors the deviation between actual quality parameters and target quality parameters of powder, and a self-adaptive decision algorithm is used for optimizing regulation and control parameters of a grinding area; the system coordination updating module collects whole-process data and performance index evaluation and generates a system optimization instruction, and the instruction corresponding module adjusts the rotating speed and pressure parameters of a grinding area of the vertical grinding machine. According to the system, intelligent and precise control over medicinal material grinding is achieved, and the stability and consistency of the grinding quality are improved.

The invention discloses a milling process control method based on reinforcement learning, which comprises the following steps: collecting and processing multi-source process data in real time, normalizing and extracting features, and forming state feature vectors; the state feature vectors are input into a DSAC-T reinforcement learning controller, the opening degree of a feeding valve and the rotation speed adjustment of a main shaft are used as action spaces, a reinforcement learning strategy network is constructed, and a process drift online detection sub-module is integrated; training a controller to maximize the rice yield, minimize the broken rice rate and energy consumption, and combining the process safety index to obtain an optimal strategy; deploying the trained controller in an actual scene, and outputting an adjustment instruction to implement closed-loop control; when the actual rice grain size or broken rice rate exceeds the model prediction deviation, online incremental learning is automatically triggered, and control parameters are optimized; the intelligent, self-adaptive and safe control of the rice milling process is realized. According to the method, adaptive optimization control of the rice milling process is realized, and the method has efficient response capability to dynamic disturbance and abnormal states.

The invention belongs to the technical field of surface polishing machining equipment, and particularly relates to a polishing machine upper disc multi-station synchronous transmission structure which comprises a mounting plate, a plurality of spherical grooves are formed in the bottom of the mounting plate and are evenly and annularly distributed, and clamping devices are arranged in the spherical grooves. The clamping device comprises a chuck, a clamping jaw, a screw rod, a first gear, a spherical ring and a reset spring; the spherical ring is movably installed in the spherical groove, and the chuck is rotationally installed at the bottom of the spherical ring. Through the arrangement of the spherical ring, when a workpiece makes contact with the grinding disc, if the bottom of the workpiece is uneven, the workpiece can drive the chuck and the spherical ring to conduct self-adaptive deflection around the sphere center of the spherical ring through the extrusion force of the grinding disc on the workpiece, and therefore the bottom of the workpiece can be better attached to the grinding disc; and in the subsequent grinding process, the grinding uniformity of the bottom of the workpiece is guaranteed.

A diesel engine crankshaft residual stress and deformation relation prediction method belongs to the technical field of internal combustion engine key component manufacturing. The method comprises the steps of dynamically correcting a finite element model through multi-stage measured data, performing high-precision reconstruction of a crankshaft residual stress field, establishing a quantitative relation between stress distribution and deformation, and combining numerical simulation and response surface method optimization to realize high-precision residual stress distribution prediction. And further analyzing the release and redistribution rules of the residual stress in the material removal process. Residual stress distribution is actively controlled to prolong fatigue life, and stable production of high-precision and long-life crankshafts is ensured. The grinding feeding rate is reduced through active control over residual stress in the grinding process so that the tensile stress peak value in the layer depth direction can be reduced, and meanwhile it is guaranteed that the surface roughness is within a proper interval. A gradient cooling strategy is adopted, the cooling liquid flow is increased in the initial grinding stage, and surface layer thermal stress accumulation is restrained. And the grinding wheel linear speed is controlled, and grinding efficiency and residual stress inhibition requirements are balanced.

The utility model discloses a grinding type coal rock gas generating device which comprises a box body frame, and a lifting supporting unit, a grinding driving unit, an upper clamping unit, a lower clamping unit, an upper grinding convex rod, a lower grinding concave rod, a middle clamping unit, a gas collecting unit and a temperature control unit are arranged in the box body frame. The coal rock grinding device is scientific in principle, simple in structure, easy to install and good in sealing performance, coal rocks are ground in a sealed environment, meanwhile, temperature control in the grinding process is achieved, and therefore the accuracy of coal rock grinding test data is improved, gas generated in the coal rock grinding process can be collected, and the coal rock grinding efficiency is improved. Therefore, a reference basis is provided for researching the abrasiveness of the coal rock.

The invention belongs to the technical field of cylindrical grinding machine control, and provides a self-adaptive control method and system for a cylindrical grinding machine jacking tailstock. The method comprises the steps that the cone adjusting track of a jacking tailstock is determined based on the geometric structure of a to-be-ground area of a target workpiece, the posture of the jacking tailstock and the posture of a grinding wheel, and a first jacking force sequence set is determined based on the cone adjusting track, the material attribute of the target workpiece and the machining process constraint condition; grinding thermal deformation information corresponding to all track points of the cone adjusting track is obtained through prediction, jacking force correction is conducted on the first jacking force sequence set based on the grinding thermal deformation information, and a second jacking force sequence set is obtained; and in the automatic cone adjusting process, the tailstock is adjusted and controlled according to the cone adjusting track and the second jacking force data set. According to the invention, non-stop automatic cone adjustment and self-adaptive jacking force control of the tailstock in the grinding process are realized, the machining consistency and the automation level can be effectively improved, the service life of equipment can be effectively prolonged, and the device is particularly suitable for machining parts with complex taper structures and high precision requirements.

In a grinding method for grinding a substantially planar workpiece surface of a workpiece, a grinding machine is used which has a grinding wheel with an abrasive side surface, wherein the grinding wheel can be rotated about a rotational axis by means of a rotational drive and can be fed by means of a feed drive in a feed direction oriented parallel to the rotational axis.To carry out a grinding operation, the workpiece is arranged in a working position, the grinding wheel is set in rotation about the axis of rotation, the abrasive side surface is brought into contact with the workpiece surface by feeding the grinding wheel; and the grinding wheel is fed from a starting position with workpiece contact to generate material removal according to a feed function. The feed of the grinding wheel takes place according to a workpiece-specific feed function depending on a material proportion curve, whereby the material proportion curve represents a distribution of workpiece material in a surface profile depending on a cutting depth measured parallel to the feed direction.

The medical part surface treatment device comprises a grinding box, a box door, a grinding mechanism, dust falling grooves, a clamping mechanism and a dust suction mechanism, through the arrangement that the dust suction mechanism is matched with the two sets of dust falling grooves, in the grinding process, a dust suction fan is started, strong suction force is generated, and the grinding efficiency is improved; dust generated by polishing is quickly sucked into the dust collection shell through the dust falling groove, the dust is effectively intercepted when passing through the filter screen in the dust collection shell, clean air is discharged through the air outlet of the dust collection fan, the dust is effectively prevented from diffusing in the polishing box, the cleanliness of the working environment is guaranteed, meanwhile, the filter screen is detachably inserted into the dust collection shell, and the dust collection effect is good. Regular dismounting and cleaning are facilitated, and it is ensured that the dust collection mechanism always keeps a good dust collection effect; through the arrangement of the two sets of clamping mechanisms, the two sets of clamping mechanisms can provide stable and strong clamping force, so that the monitor shell is always kept stable in the polishing process and does not shake or move, and the polishing precision and quality are guaranteed.

The utility model belongs to the technical field of cutter clamping, and particularly relates to a cutter positioning and clamping device which comprises a grinding assembly, a grinding table is arranged at the bottom of the grinding assembly, the grinding assembly is connected with the grinding table in a sliding mode, a clamping and positioning base assembly is arranged on one side of the grinding table, and a clamping and positioning assembly is arranged on the top of the clamping and positioning base assembly. The clamping and positioning assembly comprises a clamping sliding seat. Through the design of the vertical limiting assembly, when angle adjustment of the turning tool is finished every time, the movable joint of the support can be automatically limited, and the situation that due to forgetting, the position of the turning tool and the position of the support are changed together through a grinding machine in the grinding process is avoided; by means of the design of the sliding disc, pulling force can be converted into pressing force gripping force when the angle of the turning tool is adjusted, and therefore the angle of the turning tool is adjusted by rotating the limiting round wheel with the supporting ring as the fulcrum, and operation is more convenient.

The utility model discloses a magnetic suction lining and double-medium energy-saving ore grinding system, which comprises an ore feeding port, an overflow type mill cylinder, a magnetic suction lining, double grinding media, a hollow shaft neck and a reverse spiral blade, the whole magnetic suction lining has magnetism and is tightly attached to the overflow type mill cylinder by means of magnetic force; double grinding media are arranged in the overflow type mill cylinder and are used for grinding minerals; a hollow shaft neck is arranged at one end part of the overflow type mill cylinder body and is used for discharging mineral products; an ore feeding opening is formed in the other end part of the overflow type mill cylinder body and is used for guiding a sand setting product of the hydraulic classification cyclone to enter the overflow type mill cylinder body; reverse spiral blades are arranged on the hollow shaft neck, and the rotating direction of the blades in the ore grinding operation is opposite to the rotating direction of the overflow type mill barrel. Through the multi-layer and multi-link fine design, the whole ore grinding process is more efficient and accurate, and the utilization rate and the production efficiency of mineral resources are greatly improved.