5842 results about "Machining process" patented technology

The invention relates to the technical field of industrial automation control, and discloses a change gear assembly processing technological parameter intelligent optimization system, which comprises a multi-dimensional data synchronous acquisition unit, an angular domain static map construction unit, a phase lead constraint control unit and an angle trigger execution unit, according to the method, a static angle-load topological graph with a main shaft angle as an index is established, a phase lead angle is calculated by combining inherent physical response lag time of a servo system, and a parameter adjustment instruction sequence is directly injected into a servo current loop at a preset angle window before physical load impact occurs; according to the feed-forward control mechanism based on angular domain reconstruction and phase lead constraint, the problem of physical lag of traditional time domain feedback control in response to high-frequency intermittent cutting is avoided, and zero time difference of periodic load impact and even pre-judgment torque compensation are achieved.

The invention provides a numerical control machine tool dynamic precision control method and system based on multi-axis linkage error compensation, and relates to the technical field of mechanical manufacturing, and the method comprises the steps: collecting shaft system motion parameters and real-time cutting load parameters of a multi-axis numerical control machine tool in a linkage machining process in real time; shafting motion parameters comprise displacement, speed and acceleration of each feed shaft, and cutting load parameters are obtained through inversion of main shaft current and servo driving torque; calculating a dynamic following error of each feed shaft in a linkage state based on the shaft system motion parameters; and carrying out load coupling correction on the dynamic following error by fusing real-time cutting load parameters to obtain an initial multi-axis linkage dynamic error. According to the invention, real-time precision control in the high-dynamic machining process can be realized.

The invention discloses a control method and equipment suitable for a rotary turn-over clamp of a numerical control milling center, and relates to the technical field of numerical control machining. The clamping force is optimized through the multi-source sensing and digital twinning technology, and workpiece deformation is prevented; thermal compensation and an error transfer chain model are integrated, the turnover angle is accurately corrected, and error accumulation is restrained; real-time comparison, traceability and self-adaptive adjustment in the machining process are achieved through digital twin pre-verification and multi-sensor closed-loop monitoring; the problems of out-of-tolerance of precision and batch consistency caused by unstable clamping, thermal deformation and error transmission in multi-surface milling of high-precision parts are solved, and the precision, reliability and process adaptability of complex part machining are remarkably improved.

The invention relates to the technical field of numerical control machining monitoring, in particular to a tooth deviation high-precision monitoring system in a tooth cutting machining process, which comprises an online measurement module, a dynamic compensation module, a deviation calculation module and a result output module which are in signal connection with a numerical control system of a tooth cutting machine tool, the online measurement module, the dynamic compensation module, the deviation calculation module and the result output module are integrated on the processing element; the processing element is used for obtaining workpiece design parameters and constructing a theoretical workpiece model, the online measurement module is used for collecting tooth surface point cloud data in real time in the machining process, the dynamic compensation module is used for correcting vibration errors and temperature errors of the point cloud data, and the deviation calculation module is used for quantifying tooth surface deviation values. And the result output module is used for generating an early warning signal and a dynamic correction instruction and executing system self-calibration. The device and a numerical control system form a closed loop of machining, monitoring, correction and remachining, and finally high-precision real-time monitoring and dynamic correction of tooth deviation are achieved.

The invention provides a five-axis series-parallel numerical control machine tool machining process virtual monitoring simulation method and system based on digital twinning, and the method comprises the steps: building an information interaction mechanism between a physical machine tool and a digital twinning model, enabling a server side to collect sensor data, and transmitting the real-time data to a client side through a communication protocol; the client processes the data and drives the digital twin model. And aiming at potential errors of twin system forecast, tool setting error compensation can be carried out in real time, so that the machining precision is improved. Meanwhile, the system supports an offline simulation function, combines an inverse kinematics algorithm and an NC code, fuses a material removal model, simulates a machining process, evaluates machining performance and errors, and provides an optimization basis for machining strategies of workpieces with different geometrical shapes and materials. According to the method, bidirectional interaction between the physical entity and the virtual model is achieved, the real-time monitoring and visualization capability of the machining process is enhanced, a reliable simulation evaluation and optimization means is provided for machining of complex parts, and the method has wide industrial application prospects.

The invention provides a robot milling surface roughness prediction method and system based on parallel convolution and coordinate attention mechanism feature fusion. According to the method, firstly, multi-source heterogeneous high-frequency signals in the milling process of a robot are synchronously collected, empty slice segments are eliminated and environmental noise is filtered out by utilizing a self-adaptive threshold value and a robust statistical method, and a standardized time sequence sample set is constructed; secondly, establishing a multi-source heterogeneous feature fusion roughness prediction model, and independently extracting deep features of cutting force and vibration signals by adopting a double-branch parallel convolution architecture; a coordinate attention mechanism is introduced, heterogeneous modal features are mapped into a virtual two-dimensional topological structure, the dynamic relative contribution degree of cutting force and vibration signals changing along with the machining state is captured through pooling aggregation along the modal dimension, and an attention weight map is generated to conduct dynamic weighting on the features. And finally, outputting a surface roughness predicted value through a regression network. According to the method, the problem that an existing fusion method neglects the dynamic dependency relationship between physical quantities is effectively solved, the anti-interference capability of the robot in the weak rigidity machining process is enhanced, and the precision and robustness of surface roughness prediction are remarkably improved. The method can be widely applied to robot complex component machining quality analysis and intelligent optimization, and has high efficiency and reliability.

The invention relates to the technical field of planet carrier boring machining, in particular to a planet carrier boring machining device and a boring machining method.The method comprises the steps that deviation characteristic values are determined on the basis of the difference between each machining parameter and a preset rated value and abnormal distribution of each machining parameter at all moments before all deviation to-be-corrected moments; on the basis of the correlation between each machining parameter at all moments before each deviation to-be-corrected moment and the cutting temperature and the vibration frequency, a characteristic coefficient is determined, and the deviation value of each machining parameter is determined by combining the difference between each machining parameter at each deviation to-be-corrected moment and a preset rated value and the deviation characteristic value; and each machining parameter at each deviation to-be-corrected moment in the boring machining process is regulated and controlled. The machining deviation is actively compensated by fusing the cutting temperature and the vibration frequency in real time, and the machining precision of planet carrier boring is improved.

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention relates to the technical field of numerical control machining process optimization, in particular to an aluminum alloy milling parameter optimization method based on an improved Bayesian neural network, and the method comprises the following steps: S1, building an aluminum alloy thin-wall part milling finite element model based on a Johnson-Cook constitutive model; s2, carrying out a single-factor milling experiment, and verifying the reliability of the finite element model; s3, constructing a Bayesian neural network model fused with a multi-head attention mechanism, and establishing a mapping relation between process parameters and surface quality indexes; s4, establishing a multi-objective optimization model based on the MHA-BNN prediction model, and solving by adopting an NSGA-II algorithm; and S5, performing experimental verification and analysis on an optimization result. According to the method, a multi-head attention mechanism is introduced into a Bayesian neural network, and a milled surface roughness and residual stress probability prediction model is constructed; and a multi-objective optimization framework fusing physical constraint and data driving is established, collaborative optimization of the surface roughness, the residual stress and the processing efficiency is realized, and meanwhile, the problem that a traditional deep learning method is insufficient in prediction precision under a small sample condition is solved.

The invention belongs to the technical field of industrial control, and discloses a tab cracking early warning system and method. The system comprises an upper computer, control equipment and a reference part, the control equipment is used for controlling the processing station to process the reference part and recording working parameters of the control equipment; and the upper computer is used for screening the tension data, determining a tension abnormal point and determining an early warning result according to the working parameters of the control equipment and the tension abnormal point. By simulating the actual machining condition of a product, problems in the machining process are found from the visual angle of the product, tension data generated on the product in the production process are read, the tension data in the production process are monitored, and whether the tension exceeds the limit or not is judged. And whether the product cracking risk exists in the production process is judged, so that the accuracy and comprehensiveness of cracking risk detection are improved.

The invention discloses a diamond cutter path error compensation method based on cutter wear evolution, which comprises the following steps: S1, multi-modal sensor data acquisition and processing: in the machining process, key state information between a diamond cutter and a workpiece is acquired in real time through a multi-modal sensor; s2, tool wear modeling: key geometric parameters and evolution trend of tool wear are extracted from the collected and processed data, and tool wear modeling is carried out. And S3, artificial intelligence prediction of the abrasion loss: training a tool abrasion prediction model based on a deep learning network structure. And S4, tool path compensation is conducted, specifically, the predicted abrasion loss and the actual free-form surface model are combined, the tool path compensation amount and the compensated control point coordinates are calculated, a new machining path is generated, and dynamic compensation of tool cutting edge abrasion is achieved. And S5, system integration and closed-loop control: integrating the steps on processing equipment, and realizing real-time data interaction and synchronization through a unified data protocol.

The invention discloses a self-adaptive dynamic control method and system for the machining process of a numerical control machine tool, and relates to the field of intelligent control, and the method comprises the steps: collecting machining data in real time through physical and virtual sensors, and constructing a standardized data set after layering preprocessing; a CNN-LSTM hybrid model is utilized to extract spatial-temporal characteristics to realize working condition classification, and an NSGA-II algorithm is combined to solve a multi-objective optimization problem to generate an optimal control parameter solution set; parameters are dynamically adjusted through fuzzy PID, and a GRU model is adopted to predict machining errors for feed-forward compensation, so that closed-loop control of perception-decision-execution-feedback is formed. The system continuously monitors the actual machining deviation, parameters are optimized again when the actual machining deviation exceeds a threshold value, and cooperative improvement of machining precision and efficiency is achieved. The method has the advantages that NSGA-II multi-target optimization, fuzzy PID correction and GRU error prediction compensation are recognized through CNN-LSTM working conditions, closed-loop feedback iteration is combined, the machining precision and efficiency are improved in a balanced mode, the service life of a tool is prolonged, and the method is suitable for complex working conditions.

The invention relates to the field of packaging substrates, in particular to a heterogeneous stack-up packaging substrate and a manufacturing method thereof. A glass core plate is arranged in the packaging substrate, and one or more first core plates are arranged between the surface of the packaging substrate and the glass core plate; one or more circuit layers are arranged between the glass core plate and the first core plate; one or more circuit layers are arranged between the first core boards; one or more circuit layers are arranged between the first core board and the surface of the substrate; the packaging substrate is internally provided with a metal column, and the metal column is connected with the circuit layer. Different dielectric materials and different core plates are matched in the manufacturing process of the packaging substrate, so that the problem of warping of the dielectric materials caused by expansion and shrinkage and stress or temperature change in the stacking process can be effectively solved, and the flatness of the large-size substrate in the machining process is effectively ensured. The technology of an upper-layer thin circuit and a lower-layer thick circuit is realized. And the manufacturing feasibility of the large-size packaging substrate is greatly improved.

The invention relates to the technical field of production process control, in particular to an MES system management and control method and system based on precision mold production and manufacturing, and the method comprises the following steps: obtaining a measurement point cloud and a theoretical model, calculating rigid body transformation matrix registration to generate a registration point cloud, searching a nearest projection point, measuring geometric deviation, and constructing a three-dimensional deviation vector; and calculating the actual residual material thickness, screening and generating margin insufficient risk points, analyzing a numerical control code to extract a coordinate instruction, retrieving a nearest risk point, calculating a compensation distance, and adjusting coordinates to generate a self-adaptive finish machining program. According to the method, the three-dimensional deviation vector is constructed to represent the entity state, the risk area is screened in combination with the machining allowance, the compensation distance is calculated according to the actual residual thickness, and the instruction is dynamically adjusted to generate the self-adaptive program, so that the path is automatically corrected according to the shape of the workpiece, and the overcut risk caused by insufficient allowance is effectively avoided; and accurate matching between the machining process and the workpiece state is ensured.

A horizontal nozzle welding machine reasonable in structure comprises a rack, a bag taking mechanism, a bag body horizontal conveying mechanism, a bag opening mechanism, a suction nozzle and bag body inserting mechanism, at least two heat sealing mechanisms and a finished product collecting mechanism. The machine is characterized in that a bag taking station, a bag opening station, an inserting station, at least one heat-sealing temporary parking station and a finished product collecting station are sequentially arranged on the rack along a bag body conveying path; the bag body horizontal conveying mechanism comprises a horizontal clamping conveying unit and a bag body machining process temporary clamping unit, all the heat sealing mechanisms are installed on the horizontal clamping conveying unit, and all the heat sealing mechanisms are in one-to-one correspondence with the inserting station and all the heat sealing temporary parking stations. The utility model has the beneficial effects that the bag body can be kept at an accurate position all the time, so that the working efficiency is improved; the number of the driving devices is effectively reduced, the energy utilization rate is greatly improved, the working efficiency is greatly improved, and the equipment cost and the production cost are greatly reduced.

The invention relates to a crushing machine of raw material for preparing a wood shaving artificial board. The machine comprises a box body, a driving device, an air blower, a crushing device, an auxiliary fixing device and a feeding device, wherein the driving device is installed on the front side of the box body, the air blower is installed at the lower end inside the box body, the crushing device is installed in the middle of the box body, the crushing device is located at the upper end of the air blower, the auxiliary fixing device is installed at the upper end of the box body, and the feeding device is installed at the right end of the box body. The crushing machine of the raw material for preparing the wood shaving artificial board can solve the problems that when existing wood shaving machining equipment is used for cutting treatment, the number of cutting tools is small, the cuttings generated through cutting treatment are large in size, the cutting tools are prone to be damaged and are complicated to replace, the wood material is directly cut and machined without limiting and fixing, severe shaking, splashing and even flying are generated in the wood material machining process, so that potential safety hazards and the like are generated in the operation process are solved.

The invention relates to the technical field of machine tool control, and provides a machine tool machining control method and system.The method comprises the steps that in the machine tool machining process, microenvironment parameters of a cutting area are obtained and monitored; obtaining a cutter type, a workpiece material attribute and a preset cutting parameter corresponding to the machine tool; based on the tool type, the workpiece material attributes and the preset cutting parameters, an initial judgment basis of the tool wear speed is established; according to the deviation between the microenvironment parameters and a preset standard value, the initial judgment basis is corrected, and the corrected tool wear speed is obtained; according to the actual tool abrasion loss, the rule for subsequently correcting the initial judgment basis is optimized; and based on the corrected tool wear speed, the tool remaining life is updated, and when tool wear reaches a preset threshold value, a compensation strategy of the cutting parameters or the tool path is decided and executed in combination with the value of the machined workpiece and the remaining machining task. The method has the effect of improving the prediction accuracy of the tool wear speed.

The invention discloses a tool wear real-time prediction method fusing wear and jumping mechanism-three-dimensional vibration data, and belongs to the field of machine tool state monitoring and intelligent manufacturing. According to the method, a three-dimensional acceleration sensor is arranged near a main shaft or a cutter handle, three-dimensional vibration signals in the machining process are obtained, and a cutting force mechanism model is established in combination with cutting parameters and geometric features of the cutter; and tool wear correction and bounce disturbance items are introduced into the mechanism model, and prediction calculation of the three-way cutting force is carried out. And then, a cutting force prediction result and vibration signal features are fused, a comprehensive feature vector is constructed, and real-time prediction of the tool abrasion loss is realized based on a deep learning regression model. According to the method, physical rule constraints of mechanism modeling and data driving advantages of vibration signals are fully utilized, the accuracy and real-time performance of tool wear prediction are effectively improved, and important engineering application value is provided for improving the machining quality, prolonging the service life of a tool and achieving intelligent production.

The invention relates to the technical field of sectional material excess material management, and discloses a sectional material excess material management method and device and electronic equipment, and the method comprises the following steps: S1, setting a minimum available length threshold value of excess materials, which is used for judging whether the minimum available length threshold value is included in an excess material management process or not; s2, the excess materials generated by cutting are recognized, information including the color, the length, the surface state and the profile structure attribute is obtained, and a unique identifier is generated for each section of excess materials; s3, storing the excess material information meeting the conditions into an excess material management database, and associating storage position information of the excess material management database; and S4, after a new order request is received, screening matched excess materials in the excess material database according to an order demand to form a candidate set. According to the method, a structural management technical scheme based on geometric contour reconstruction and matching of the excess materials is adopted, and the identifiability, traceability and reutilization of the excess materials in the machining process are achieved. The technical effects of intelligent classification and efficient scheduling of the processing residual materials are achieved.

The invention belongs to the technical field of hard and brittle crystal material micropore machining, and particularly relates to an ultra-precision micropore multi-energy field coupling machining method and system.The method comprises the steps that the laser pulse frequency and power are set according to the workpiece material type and the micropore depth-diameter ratio, and a laser focus is positioned at the inner hole bottom of a workpiece; a modified structure extending in the axial direction of a hole is formed by controlling matching of a light spot and a hole diameter and the movement track of the light spot, in the machining process, a plasma nozzle and laser coaxially move, a modified area is removed in real time, a heat affected zone and the hole shape taper are restrained, meanwhile, vibration is applied to a workpiece through an axial ultrasonic vibration device, and machining precision is improved. And chip discharge is promoted, and stress and crack generation are reduced. The problems of serious thermal damage, poor hole shape precision, low machining efficiency and high energy consumption in the micropore machining process in the prior art are solved, and high-quality and high-precision machining of the high-depth-diameter-ratio micropore of the hard and brittle transparent crystal material is achieved.

The invention discloses an optical waveguide and a preparation method thereof, relates to the technical field of optics, and is used for solving the problems of high processing difficulty, low yield and high cost of the existing array optical waveguide. The optical waveguide comprises a turning waveguide which is provided with a light incident surface, a first surface, a second surface and a plurality of first light splitting surfaces, the first surface and the second surface are arranged in parallel, the first light splitting surfaces are arranged in parallel, the included angle between the first light splitting surfaces and the first surface is smaller than 90 degrees, and the first light splitting surfaces enable light entering the turning waveguide from the light incident surface to be partially reflected; the reflected light is transmitted to the coupling-out waveguide; the coupling-out waveguide and the turning waveguide are spliced, so that light entering the coupling-out waveguide from the turning waveguide is emitted out of the coupling-out waveguide. The first beam splitting surface of the turning waveguide is not perpendicular to the first surface of the turning waveguide, compared with an existing array optical waveguide, the situation that the perpendicularity precision of the beam splitting surface and the surface of the optical waveguide needs to be strictly controlled in the machining process can be avoided, and therefore the machining difficulty can be lowered, the yield can be improved, and cost can be reduced.

The invention belongs to the technical field of gear precision machining, and particularly relates to a high-precision machining method for a complex curved surface gear, which comprises the following steps: acquiring a gear three-dimensional model and planning an initial machining path; tooth profile errors are predicted based on the path, and real-time dynamic compensation is conducted in the machining process; predicting a heat treatment deformation trend based on the compensated motion trail and the real-time data; adjusting heat treatment process parameters according to the predicted deformation trend; and detecting the final state of the gear after heat treatment, and updating the error prediction and compensation model according to a detection result. According to the method, real-time error compensation in the machining process is associated with predictive control of heat treatment deformation to form a closed loop, the problem that in the prior art, machining precision and structural stability after heat treatment are difficult to cooperatively guarantee is solved, and high-precision and high-reliability unified manufacturing of the complex curved surface gear is achieved.

The invention relates to the technical field of automatic feature recognition, in particular to a part space geometric feature and process knowledge automatic recognition reasoning system, which comprises a model acquisition module for acquiring a B-Rep model of a part to obtain triangular patches in each plane in the B-Rep model; the curved surface segmentation module is used for calculating a region attribution degree and dividing a surface into a plurality of sub-regions; the curved surface evaluation module is used for calculating a discrimination coefficient and distinguishing all surfaces into process surfaces and auxiliary surfaces; calculating a coherence evaluation value and structural complexity of each process surface; and the feature recognition and process reasoning module is used for determining the sampling precision of each surface, discretizing the surfaces and the edges, constructing an attribute adjacency graph of coding B-Rep model information, and machining the part based on a machining feature recognition result of the attribute adjacency graph. According to the invention, the processing technology feature identification precision of the part is improved.

The invention relates to the field of lathes, in particular to a wind power bolt slender shaft turning special machine which comprises a machine body composed of a shell and a base. A main shaft unit, a sliding table unit and a tool rest unit are arranged on the base; the self-avoiding positioning unit is arranged on the main shaft unit, the self-avoiding positioning unit comprises a telescopic positioning assembly and a locking assembly used for locking the positioning assembly, and the positioning assembly is used for conducting double positioning of axial jacking and radial clamping on the wind power bolt; the positioning assembly can contract in the machining process so as to avoid a tool feeding space. The retractable positioning assembly is matched with the locking assembly for linkage unlocking, when the tool rest unit moves to a clamping area, unlocking can be automatically triggered, the claw petals are retracted, the machining space of a tool is completely avoided, and therefore integrated continuous machining of a wind power bolt shaft body and threads at the two ends is achieved. And the procedures of end waste cutting and secondary clamping are thoroughly eliminated.

The invention belongs to the technical field of machine manufacturing, and particularly relates to a metal part discharge machining precision control method and system.The method comprises the steps that discharge gap multi-dimensional physical parameters are sensed in real time in a multi-modal mode, high-dimensional feature extraction and data fusion are carried out, an intelligent discharge state prediction model is constructed, and on the basis of a prediction result, a metal part discharge machining precision control system is obtained. And processing parameters such as a pulse power supply, servo feeding and dielectric liquid are adjusted in an ultra-fast and self-adaptive mode, and iterative optimization of the processing process is achieved. By the adoption of the technical scheme, the machining precision, the surface quality and the consistency of the metal part can be remarkably improved, electrode loss is reduced, and the machining efficiency is improved.

The invention discloses a cutter state real-time monitoring and compensating method, system and equipment and a medium, and relates to numerical control precision machining. In the method, a cutting edge optical image, an acoustic emission signal time domain waveform, a vibration acceleration parameter and real-time temperature data of a cutting area of a cutter in the machining process are collected; measuring the maximum width and depth of a wear belt through an image to form a wear characteristic quantized value, and judging a wear over-limit state; judging the damage state based on the continuous ultralimit time of the instantaneous mutation rate of the acoustic emission signal; judging the abnormal vibration grade and state through vibration spectrum analysis; and inputting the vibration spectrum and the temperature data into a prediction model to obtain a position offset prediction quantity. And calculating a size deviation value according to a wear / damage state, calculating a coordinate offset according to vibration abnormity, generating a cutter geometric compensation instruction or a motion trail compensation instruction, and completing real-time compensation operation. According to the scheme, the fine abnormal change of the cutter in the machining process can be captured in time, and compensation is conducted according to the fine abnormal change.

The invention provides a vision-based curved metal surface defect online detection method, which comprises the following steps of: selecting a plurality of vision scanning discrete optimization imaging points from a CAD (Computer Aided Design) model of a to-be-detected metal workpiece in a visual simulation platform, and generating a continuous vision scanning track; aiming at the metal workpiece obtained in the current processing procedure, enabling a machine tool to move according to a continuous visual scanning track, and obtaining a plurality of to-be-detected images with the same shooting angle and different incident light source conditions from the surface of the metal workpiece at each optimized imaging point; the optimized imaging points are input into a highlight removal model, and a fused image after highlight removal is output for each optimized imaging point; inputting the fused image into an interactive image segmentation model, and segmenting a to-be-detected area image of a single part from the fused image in cooperation with interactive prompt; and inputting the data into a defect detection model with an attention mechanism to obtain a defect detection result. According to the invention, real-time, efficient and high-precision defect detection of the complex curved surface metal workpiece in the machining process can be realized.

The invention discloses a self-adaptive optical lens curved surface optimization processing method based on machine learning, and the method comprises the steps: generating an optimal target curved surface which is easy to process based on the optical performance and manufacturability criterion through employing a first machine learning model; after the current surface shape error is obtained through machining and measurement, modeling is conducted on the non-linear and space coupling effect in the machining process through a second machine learning model, so that an optimal compensation machining scheme is predicted and determined; compensation processing is executed, and iterative circulation is carried out until the surface shape error is converged to a preset threshold value; according to the method, the processing convergence can be improved from the source, high-precision intelligent error compensation is realized, and the manufacturing efficiency and the yield of high-end optical elements are expected to be improved.

The invention provides a model training method, a silicon wafer processing method, a silicon wafer processing device, a storage medium and equipment. The model training method comprises the following steps: acquiring initial state information and target state information of a silicon wafer to be processed; through an action decision model, according to the initial state information and the target state information, machining action information for the machining machine table is generated; determining an award parameter corresponding to the processing action information, wherein the award parameter represents the processing quality and efficiency when the processing machine processes the to-be-processed silicon wafer based on the processing action information; if the reward parameter is not more than the preset condition, updating the initial action decision model according to the reward parameter to obtain an updated action decision model; and based on the updated action decision model, returning to execute the step of generating the processing action information through the action decision model according to the initial state information and the target state information until the reward parameter is greater than the preset condition, and obtaining a target action decision model. According to the invention, the processing machine table can be accurately adjusted.

The invention provides welding and conveying equipment for air conditioner liquid accumulator machining, and relates to the technical field of liquid accumulator machining. The welding and conveying equipment comprises a welding table, and a conveying table is arranged at the top of the welding table; a conveying assembly used for conveying the material fixing assembly is arranged on the conveying table. The top of the conveying assembly is provided with an overturning assembly used for overturning the material fixing assembly. The material fixing assembly is rotationally connected with the overturning assembly. Through the arrangement of the structure and the cooperation of the conveying assembly, the positioning assembly, the overturning assembly and the material fixing assembly, automatic conveying, precise positioning, stable clamping and flexible overturning of materials in the machining process of the air conditioner liquid accumulator are achieved; the problems of high labor intensity, low machining precision, low production efficiency and the like caused by dependence on manual operation in traditional machining are effectively solved.