3780 results about "Grinding process" patented technology

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 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 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 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 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.

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 an efficient cooling grinding wheel applied to ultrasonic machining, and relates to the technical field of ultrasonic auxiliary grinding machining tools, the efficient cooling grinding wheel comprises an upper ultrasonic grinding wheel base rod and a lower ultrasonic grinding wheel grinding head, and the ultrasonic grinding wheel base rod and the ultrasonic grinding wheel grinding head are of an integrated structure; the interior of the ultrasonic grinding wheel base rod is hollow and extends to the bottom of the ultrasonic grinding wheel grinding head without penetrating, the interior of the ultrasonic grinding wheel base rod is in threaded connection or interference fit with a sleeve, the interior of the sleeve is hollow and serves as a main cooling liquid flow channel, the diameter of the interior of the sleeve is the main cooling liquid flow channel, and the diameter of the main flow channel can be changed; a plurality of round holes are formed in the grinding wheel grinding head to serve as cooling liquid flow channels of the grinding head, inlets of the cooling liquid flow channels of the grinding head are connected with the tail end of the main cooling liquid flow channel, outlets of the cooling liquid flow channels of the grinding head are located at the machining position in the grinding process, and cooling liquid grooves are machined in the cooling liquid outlets of the grinding head. And inner cavities of the main cooling liquid flow channel and the grinding head cooling liquid flow channel are provided with rifling structures with variable screw pitches and variable number.

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 discloses a nano material modified alcohol amine grinding aid as well as a preparation method and application thereof, and the preparation method comprises the following steps: firstly, carrying out esterification reaction on alcohol amine and an acid small monomer containing double bonds to generate an esterification product; then, carrying out bulk polymerization on the esterification product and a silane coupling agent KH-570; and finally, combining the bulk polymerization product with the nano-material through a dehydration reaction of a silane coupling agent and hydroxyl on the surface of the nano-material to form the nano-material modified alcohol amine grinding aid. According to the invention, the nano material is directly grafted into the alcohol amine, so that the dispersity of the nano material in the cement grinding process can be effectively optimized, the friction force and energy consumption among cement particles can be reduced, the efficiency and stability of the cement production process can be improved, and the strength and durability of the cement product are improved.

The invention belongs to the technical field of numerical control machine tool control, and discloses a deep groove ball bearing ring grinding error compensation method and system, and the method comprises the steps: monitoring the temperature of a numerical control grinding machine body and a main shaft in real time through a plurality of temperature sensors, and obtaining the temperature field distribution data of a numerical control grinding machine; according to the numerical control grinding machine temperature field distribution data, the temperature gradient of each temperature measurement position is calculated; comparing each temperature gradient obtained by calculation with a preset temperature gradient threshold value, and judging whether a temperature measurement position with the temperature gradient exceeding the temperature gradient threshold value exists or not; when the temperature measurement positions with the temperature gradients exceeding the temperature gradient threshold exist, error compensation parameters of the numerical control system are determined according to the temperature gradients of all the temperature measurement positions, and the grinding machining track and grinding parameters are corrected; therefore, the grinding precision of the deep groove ball bearing ring can be improved.

The invention relates to the field of grinding machinery, and discloses a cylinder body casting grinding device and a grinding process thereof.The device comprises a frame body and a controller, a three-jaw chuck is arranged on the frame body, and a to-be-ground cylinder body is clamped through the three-jaw chuck; a grinding mechanism is further arranged on one side of the frame body and comprises a hydraulic telescopic cylinder and a driving part, the hydraulic telescopic cylinder is fixedly installed on the frame body, the driving part is fixedly installed at the end of the hydraulic telescopic cylinder, and the output end of the driving part is in transmission connection with a grinding shaft; a grinding shell is fixedly arranged at the end of the grinding shaft, multiple stages of grinding wheels are arranged in the grinding shell, an alternating assembly is further arranged in the grinding shell, and the alternating assembly is used for pushing the different stages of grinding wheels to sequentially stretch out of the grinding shell to conduct the grinding action of the cylinder body. By means of the mechanism, real-time replacement of different levels of grinding wheels in the working state in the cylinder body is achieved, and the grinding efficiency is higher.

The invention discloses a burr polishing device for a high-strength automobile structural member, which belongs to the technical field of mechanical polishing and comprises a workbench and a workpiece, a machining table is arranged on the workbench, a motor and a liquid pipe are connected in the machining table, the output end of the motor is connected with a polishing head, and the burr polishing device further comprises a clamping mechanism and a detection mechanism which are arranged at the bottom of the machining table. In the polishing process, vibration transmission between the machining table and the machined part can be attenuated, chatter marks are reduced, and the surface smoothness is improved through elastic clamping of the second sliding block, the first sliding block and the third sliding block on the machined part, in the polishing process, the protruding degree of a polishing area is pre-detected through the detection block, and when the polishing head passes through the detection area subsequently, the polishing efficiency is improved. The rotating speed of the grinding head and the liquid spraying amount of the liquid pipe are adjusted through the transmission rod, self-adaptive automatic adjustment of the grinding head and the liquid pipe is achieved according to the pre-detection result of the machined part, and the grinding efficiency and the grinding work quality are guaranteed.

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 robot coordinate transformation control method and system based on dovetail weld geometric characteristics, and relates to the field of machine automation, and the method comprises the steps: obtaining the three-dimensional geometric data of a dovetail weld, and extracting the geometric characteristic parameters of the dovetail weld; geometric features of the grinding tool are obtained; establishing a multi-level coordinate system based on the geometrical characteristic parameters and the geometrical characteristics of the grinding tool; according to the geometrical characteristic parameters, the inclination angle and variable cross-section characteristic parameters of the dovetail welding seam are determined; calculating an adaptive transformation matrix according to the inclination angle and the variable cross-section characteristic parameters; the position and posture of a robot grinding tool are determined based on the self-adaptive transformation matrix, and a grinding path plan is generated; and in the polishing process of the robot, the position deviation of the robot is monitored in real time, and the self-adaptive transformation matrix is corrected based on the position deviation. The contact precision of the robot grinding tool and the surface of the welding seam can be effectively improved, and the machining quality of dovetail welding seam grinding is improved.

A robot polishing path optimization method based on industrial Internet of Things and MES linkage comprises the steps of deploying a multi-sensor network through the industrial Internet of Things to obtain real-time operation data of production line equipment, and preprocessing the real-time operation data by adopting an edge computing technology to construct a structured data stream; a reinforcement learning or heuristic algorithm is adopted to calculate an optimal task allocation scheme of a polishing process and upstream and downstream processes based on a structured data stream from the industrial Internet of Things in combination with order requirements, process requirements and historical operation data. And calling a self-adaptive path fine tuning algorithm to perform fine tuning on the offline programming path of the polishing robot in the process of executing the optimal task allocation scheme by the polishing robot so as to generate an optimal path. And the optimal path executed by the grinding robot is monitored in real time, real-time monitoring data are transmitted back to the MES system and the industrial Internet of Things platform, and historical operation data are analyzed through machine learning, so that self-adaptive iterative optimization is performed on the optimal path.

The invention discloses high-performance modified calcium carbonate and application thereof in a breathable film. The modified calcium carbonate is prepared by combining a three-element composite modification system composed of stearic acid, titanate and a silane coupling agent with a disc-nest mill three-stage gradient grinding process and antibacterial-hydrophobic dual-functionalization treatment of silver-loaded hydroxyapatite and a fluorinated modifier. The indexes of the prepared modified calcium carbonate are as follows: the median particle size (D50) is 1.8-2.2 mu m, the particle size (D97) of 97% particles is less than 6.5 mu m, the particles with the particle size of 1-5 mu m account for more than 60%, and the particles with the particle size of more than 10 mu m are less than 100 ppm; the content of calcium carbonate exceeds 97%, and the content of harmful impurities such as Fe is less than 200ppm; the whiteness is higher than 95; the oil absorption value is less than 12.5%, and the water content is less than 0.18%. When the composite material is applied to the breathable film in the medical field, the mechanical property, the antibacterial property and the hydrophobic property of the breathable film can be remarkably improved, the special requirements of the medical field on the breathable film are effectively met, and the composite material has good application prospects and industrial value.

The invention provides a 2.5 D substrate packaging method and packaging structure. The 2.5 D substrate packaging method comprises the following steps: providing a substrate with a groove; wherein the groove is a step groove; the grooves comprise a first groove and a second groove which are communicated with each other, and the depth of the first groove is greater than that of the second groove. A conductive pillar is formed in a substrate. Etching the substrate to expose the conductive pillars; forming a first insulating layer on one side, where the conductive columns are exposed, of the substrate in an ion implantation mode; the first insulating layer covers the surface of the substrate and the end face and the side wall of the exposed part of the conductive column. Grinding the first insulating layer to expose the end surface of the conductive column; forming a dielectric layer with a wiring layer on one side, far away from the substrate, of the first insulating layer; the wiring layer is electrically connected with the conductive column. The bonding force between the conductive column and the substrate can be improved, the conductive column is prevented from being broken or layered with the substrate in the grinding process, and the transmission performance of the conductive column is improved.

The invention provides a subsurface damage depth prediction and control method for ultra-precision grinding of a semiconductor wafer. The method comprises the following steps that the subsurface damage depth difference of ductile grinding and brittle grinding is analyzed; calculating the critical cutting depth of ductile-brittle transition; establishing the relationship between the subsurface damage depth and the normal force of a single abrasive particle; specifically, on the basis of the relation between the normal force of a single abrasive particle and the plastic radius of a plastic deformation area in ductile grinding and the median crack depth in brittle grinding, the relation between the subsurface damage depth of wafer grinding and the normal force of the single abrasive particle is obtained in combination with ductile-brittle transformation judgment conditions; establishing the relationship between the normal force of a single abrasive particle and the cutting depth of the abrasive particle; establishing the relationship between the abrasive particle cutting depth and the grinding process parameters; and establishing the relationship between the subsurface damage depth and the grinding process parameters. According to the method, the grinding process parameters are reversely solved based on the subsurface damage depth model, the grinding process can be formulated according to specific damage indexes, and the machining efficiency is improved on the basis of meeting the machining requirements.

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

The invention relates to the technical field of thermal power generating unit monitoring, in particular to a thermal power generating unit fault diagnosis method and system based on artificial intelligence, and the method comprises the steps: obtaining coal grinding process monitoring data of a coal mill in a thermal power generating unit, and generating coal grinding contact pressure data according to the coal grinding process monitoring data and a coal grinding hydraulic mechanical efficiency model; coal milling same-pressure vibration data are generated according to the coal milling contact pressure data, and whether vibration of the coal mill is abnormal or not is judged according to the coal milling same-pressure vibration data; if not, obtaining predicted contact pressure data according to the coal grinding contact pressure data and a preset LSTM pressure prediction model; and generating a coal milling fault diagnosis report according to the predicted contact pressure data. According to the invention, a complete thermal power generating unit fault diagnosis is formed from data acquisition, fault detection to prediction diagnosis.

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 invention relates to the field of solid analysis, in particular to a diamond polishing and grinding online detection system which comprises the following steps: firstly, synchronously acquiring optical sensing data and thermal sensing data of the surface of a to-be-detected diamond; then, processing the acquired sensing data to detect and identify various physical characteristics of the surface, including a surface defect state, thermally induced anomaly distribution and self-calibrated surface roughness, and tracking an evolution trend of related characteristics, so as to generate a preliminary multi-dimensional characteristic analysis result; and finally, generating a comprehensive diamond defect surface physical property online evaluation report by integrating various analysis results. The method mainly solves the problems that the multi-dimensional physical characteristics of the surface of the diamond are difficult to evaluate in real time, accurately and comprehensively and the change of the surface state is difficult to respond quickly by a traditional detection means, and aims at comprehensively evaluating the surface quality of the diamond through automatic online analysis and providing a basis for guaranteeing the quality of a final product and optimizing a grinding process.

The invention relates to the technical field of feeding amount control, in particular to an eccentric shaft grinding control method capable of avoiding workpiece collision, which comprises the following steps: in the process of grinding an eccentric shaft by a processing machine tool, acquiring the actual rotating speed of a grinding wheel at each moment in a preset local time period before the current moment and the actual feeding amount of the grinding wheel at the current moment in real time; calculating the rotating speed variation; determining the friction balance degree of the grinding wheel at the current moment; and the abrasion coefficient of the grinding wheel at the current moment is obtained, the adjusted feeding amount of the grinding wheel at the current moment is determined, and the feeding amount of the grinding wheel is controlled and adjusted through a control algorithm. The feeding amount of the grinding wheel is adjusted in real time, the feeding amount of the grinding wheel is controlled more accurately, collision and impact in the grinding process are effectively avoided, the risk of damage to workpieces and equipment is reduced, and the machining precision of the eccentric shaft is 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 utility model relates to a semiconductor structure. The semiconductor structure comprises a substrate; the source electrode, the grid electrode and the drain electrode are stacked on the substrate; the first isolation layer is arranged between the grid electrode and the drain electrode; the second isolation layer is arranged between the first isolation layer and the drain electrode; the channel layer penetrates through the grid electrode, the first isolation layer and the second isolation layer, and the channel layer is arranged on the source electrode; the gate dielectric layer is arranged between the gate and the channel layer; the insulating layer is arranged on the inner side of the channel layer; the contact pad is arranged on the insulating layer; the nitrogen component content of the second isolation layer is greater than the nitrogen component content of the first isolation layer. The second isolation layer protects the first isolation layer in the etching or grinding process, the first isolation layer is prevented from being damaged, the integrity of the semiconductor structure is protected, and the product yield of the semiconductor structure is improved.

The invention discloses a chamfering and beveling machine for a welding junction of a thick-wall pipeline, and relates to the technical field of pipeline machining equipment. Comprising a machining base, supports are symmetrically and fixedly mounted at the top of the machining base, a mounting frame is slidably mounted at the end of the machining base, a first limiting groove and a second limiting groove are formed in the surface of the mounting frame, a first lead screw is rotatably mounted on the inner wall of the first limiting groove, and a second lead screw is rotatably mounted on the inner wall of the second limiting groove; a first U-shaped frame is fixedly installed at one end of the limiting block, a driving wheel is rotatably installed on the surface of the first U-shaped frame, a second limiting block is slidably connected to the inner wall of the second limiting groove in a sleeved mode, a second U-shaped frame is fixedly installed at the end of the second limiting block, and a rolling wheel is rotatably installed on the surface of the second U-shaped frame. The second lead screw is of a symmetrical structure with the first lead screw as the center, and the second lead screw and the first lead screw are in gear transmission. A groove cutter is arranged between the two second U-shaped frames. And the groove does not need to be ground manually, the grinding process is more stable, and the forming effect of the groove of the thick-wall pipeline is improved.