686 results about "Tool path" patented technology

The invention relates to the technical field of curved surface machining control, and discloses an intelligent curved surface machining method and system based on a CNC cutting machine tool, and the method comprises the steps: carrying out the laser scanning of a to-be-machined workpiece, obtaining the three-dimensional geometric data of the workpiece, activating a target clamping device, and generating an initial clamping scheme; the target clamping device is controlled to execute multi-area pressure gradient clamping operation, and target position data and clamping pressure distribution data are obtained; performing multi-field coupling dynamic analysis to generate a processing optimization parameter set; executing segmented continuous Hamiltonian path planning and self-adaptive lattice point reconstruction according to the machining optimization parameter set, and generating a tool path data set; according to the method, it is ensured that all the surfaces of the polygon prism workpiece are evenly stressed, the problem of machining deviation caused by edge stress concentration in a traditional method is solved, and the overall machining quality of the workpiece is improved.

The invention relates to the technical field of program control systems, in particular to a pentahedron machining center precision calibration method and system based on multi-sensor fusion, and the method comprises the steps: a sensor system construction and calibration module is used for field calibration, drift correction and redundancy deployment to ensure data precision, and achieves the whole-course traceability of a calibration process through a block chain technology; the multi-source data preprocessing and fusion module is used for time-space synchronization of heterogeneous data and dynamic fusion of multi-source information; the intelligent modeling and state prediction module is used for performing real-time and multi-task prediction on key states such as tool wear and thermal deformation; based on the prediction result, the adaptive compensation and path optimization module is used for dynamically optimizing the tool path; meanwhile, through an online learning mechanism, the calibration model is continuously updated by utilizing a processing result; the distributed cooperative control module executes data processing and calibration algorithms locally and makes a cooperative decision with a numerical control system, and low-delay and intelligent response to machining abnormity is achieved.

Disclosed in the present invention is a large complex ellipsoidal part machining deformation control method based on dynamic cutting planning. The method comprises: performing initial clamping on a blank part, constructing a machining coordinate system, completing reference non-contact measurement and reference surface fitting of inner and outer shape surfaces of the blank part, and completing the division of a generatrix tangent plane; on the basis of product feature decomposition, completing in the same coordinate system the comparison between each theoretical section and an actually measured section, completing cutting evaluation based on the generatrix tangent plane in a machining area, and guiding overall machining route planning and local machining route planning; on the basis of route planning and a cuttable margin, using an adjustable support device to complete part clamping based on dynamic adjustment, so as to realize stable cutting under a variable cutting thickness, and thereby solving the problem of overall deformation control of a large complex ellipsoidal part; and completing high-rib feature twist amount identification in combination with adjustable support, and completing tool path trajectory offset compensation on the basis of a relationship between a circumferential offset and an allowance, and thereby realizing precise compensation machining of a mesh after a local twist. The present invention solves the key difficulties of high-rib local twist deformation compensation and overall deformation control on the basis of ensuring the precision of the residual wall thickness during numerical control machining of a large complex thin-walled ellipsoidal part, thereby further improving the overall manufacturing reliability of a large complex ellipsoidal part.

The invention discloses a furniture processing control system based on artificial intelligence, and relates to the technical field of intelligent manufacturing and industrial automation. According to the system, cutter vibration frequency spectrum, plate texture features and environment temperature and humidity data are collected in real time through a distributed sensor array, multi-source data are fused through a space-time attention mechanism, and a joint feature matrix is generated. And based on the joint feature matrix, utilizing a depth map neural network to deconstruct a topology constraint relation of non-standard customization requirements, and generating an initial processing parameter set. And driving the digital twin model to perform virtual processing according to the initial processing parameter set, and predicting a processing node deformation error and generating a compensation vector in combination with the three-dimensional laser point cloud and infrared thermal imaging data. The compensation vector and real-time working condition data are received, a path cost function is evaluated through Monte Carlo tree search and a time sequence convolutional network, the cutter feeding speed and the cutting depth are corrected, and dynamic regulation and control of cutter path parameters are achieved.

The invention relates to the field of numerical control machining, discloses a numerical control machining method and system integrating thermal expansion dynamic compensation, and aims to solve the problem that precision is out of control due to thermal deformation in high-speed cutting of motorcycle light alloy castings. The method comprises the steps that distributed temperature and displacement sensors are arranged in a key area of a workpiece, and a temperature field and thermal expansion amount are collected in real time; constructing a local thermal deformation prediction model based on a material expansion coefficient and a geometric structure, and correcting a tool path in real time through a coordinate system dynamic offset algorithm; and an on-line measurement feedback mechanism is introduced, and model parameters are adaptively optimized, so that closed-loop compensation is realized. The system comprises a sensing module, a thermal deformation modeling and compensation calculation module, a coordinate dynamic correction module, an online measurement feedback module and a parameter adaptive updating module. Through millisecond-level dynamic compensation and closed-loop self-optimization, the size precision and form and position stability of the complex thin-wall part under the high-temperature working condition are remarkably improved, the rejection rate and cooling energy consumption are reduced, and the method is suitable for a high-precision batch machining scene.

The invention discloses a machining error-oriented hardware part size compensation method and platform, and relates to the technical field of industrial control, in particular to the technical field of hardware part machining. The method comprises the steps that based on a to-be-machined part, structural basic characteristics are obtained, and a three-dimensional size compensation map is drawn up with the elasticity modulus of a material as a constraint; matching each tool path target compensation amount sequence based on the map, and synchronously predicting a size deviation value; introducing an environmental interference factor, and inputting the pre-training model to generate a dynamic correction coefficient; and on the basis of the data, cutter compensation, the feeding rate and the rotating speed are dynamically adjusted through a self-adaptive strategy till the machining error is stabilized within the tolerance range. The technical problem that in traditional hardware part machining, due to the fact that a static compensation strategy is difficult to adapt to a dynamic machining environment, the machining size precision is unstable is solved, and the technical effects that self-adaptive high-precision size compensation based on the real-time machining state and multi-source interference sensing is achieved, and the part machining consistency and the percent of pass are improved are achieved.

The invention provides a multi-axis PCB milling synchronous control method, device and equipment and a storage medium. The method comprises the steps that geometric modeling is conducted on a PCB and a tool, a PCB machining model is generated, a tool path is generated based on the PCB machining model, the meshing state of the tool and the PCB is extracted, and a meshing geometric entity is obtained. And then, calculating the instantaneous undeformed chip thickness according to the meshing geometric entity, and predicting the cutting force of the cutter acting on the PCB. Based on the cutting force prediction result, the tool path data and the PCB machining model, modeling is conducted on multi-axis motion of the PCB milling machine tool, and a multi-axis motion synchronous control model is generated. Finally, according to the synchronous control model and the cutting force prediction result, self-adaptive synchronous control is conducted on multi-axis motion. According to the PCB milling method, the cutting force is predicted in real time, the multi-axis machine tool is subjected to self-adaptive synchronous control, the machining precision is improved, the service life of the tool is prolonged, and the stability and consistency of the PCB machining process are ensured.

The invention discloses a shaping robot, a shaping system and a grain processing method thereof. An integrated moving and transferring device is used as a chassis for bearing all modules; the shaping industrial robot is used for driving a cutter on the mechanical arm to conduct shaping machining. The medicine scrap sucking and cleaning device is used for cleaning scraps generated by processing; the tool changing magazine is used for placing and managing tools and comprises a quick-changing tool rest, and a detection sensor used for detecting whether the tools exist or not is arranged on the quick-changing tool rest; the control system comprises a coordinate system management module, a tool path planning module, a robot kinematics module, a collision detection module, a motion simulation module and a robot program generation module. Automatic machining positioning, automatic machining path planning and automatic cutting tool switching and management can be achieved; the automation degree of grain cutting machining is effectively improved; in the shaping process, temperature and contact force detection sensors are used for detection, and early warning protection in the machining process is achieved.

The invention relates to the technical field of precision machining, and particularly discloses a complex curved surface precision machining method based on tool path optimization, which comprises the following steps: S1, acquiring a geometric model of a curved surface to be machined and tool kinetic parameters; s2, the optimal machining step length, the cutter roll angle and the feeding speed are calculated in real time according to the geometric features of the curved surface and the dynamic parameters of the cutter; s3, generating a self-adaptive tool path based on the dynamic optimization parameters in the step S2; s4, synchronously monitoring the cutting load in the machining process, and dynamically correcting cutter path parameters according to load feedback; and S5, outputting the optimized tool path instruction to the numerical control machine tool to execute machining. By calculating the Gaussian curvature and the average curvature of the curved surface in real time, dynamically adjusting the machining step length and the feeding speed, and automatically reducing the step length and reducing the feeding speed in a curvature sudden change area, the residual height of a steep area is controlled within a precise standard range, and the surface roughness is reduced by more than 30% compared with that of a traditional method; and the consistency of machining precision of each area of the complex curved surface is ensured.

The invention provides a cylinder processing cutter path adaptive optimization generation method, which belongs to the technical field of cylinder processing, and adopts fractal dimension analysis to identify surface geometric complexity and determine a minimum repetitive unit, and applies a four-color theorem to carry out non-intersection area division on the surface, so as to improve the processing precision of the cylinder processing cutter path. Multi-axis linkage machining parameters are initialized, global path planning and cutter axis vector optimization and collision detection are performed based on an improved Di jkstra algorithm, path adaptive adjustment is performed according to local curvature change of a minimum fractal matrix, a game model is established, and coevolution of a double-layer game model is realized by adopting a cross optimization rule. And finally, an optimized tool path NC code containing the position coordinates, the attitude angle and the feeding speed is generated, and the technical problem that the machining efficiency and the surface quality are difficult to consider in tool path planning under the complex geometrical characteristics of the cylinder surface is solved.

The invention provides an intelligent manufacturing control system and method for precision part machining, and the method comprises the steps: extracting the geometric entity information of a to-be-machined part from the three-dimensional CAD model data of the to-be-machined part, and constructing a topological association graph of the to-be-machined part according to the geometric entity information; all machining feature partition surfaces in the topological association graph are extracted based on machining navigation parameters of the topological structure of the to-be-machined part, and a topological cooperation path of the to-be-machined part is recognized according to the contact relation between the machining feature surfaces in all the machining feature partition surfaces and the datum plane; according to an association surface set associated with the topology cooperation path in the topology association graph, combining edge concavity and convexity codes of the to-be-processed part to construct processing constraint features; and the to-be-machined part is machined on the basis of a tool movement path generated by the machining constraint features. According to the technical scheme provided by the invention, the topological incidence relation between the surfaces of the precision part can be identified, and the generated tool path is prevented from generating machining conflicts in the machining process.

The invention discloses a tool path programming method and device, a readable storage medium and a computer program product, and relates to the technical field of automation, and the method comprises the steps: obtaining an electrode three-dimensional model of a to-be-generated electrode; feature extraction is carried out on the electrode three-dimensional model to obtain electrode features, and the electrode features comprise one or more of a three-dimensional structure feature, a curved surface feature, a recess feature and a boundary feature; according to the electrode features, a corresponding target machining strategy template is matched in a preset template library, tool path programming is carried out according to the target machining strategy template to obtain a tool path machining program, and one or more electrode machining strategy templates are stored in the template library. According to the invention, the tool path programming efficiency and accuracy are improved.

The invention relates to the technical field of numerical control machine tools, in particular to a polyhedral machining center based on dynamic compensation and five-axis linkage, which adopts an asymmetric swing shaft system design, a workbench integrates X / Y translation and C-axis rotation functions, and a cutter has Z-axis lifting and Y-axis swing capabilities (the swing range of B-axis is-30 degrees to + 120 degrees). And efficient machining of complex curved surfaces and deep cavity structures is achieved through five-axis linkage. The core innovation comprises the following steps: a temperature sensor is embedded in a main shaft bearing seat to monitor the temperature rise in real time and calculate the thermal deformation compensation amount; the vibration sensor is embedded into the cutter handle clamping mechanism, and cutting vibration is dynamically restrained; based on a tool path dynamic correction technology of an RTCP algorithm, track offset caused by multi-axis rotation is eliminated through space coordinate transformation.

The invention discloses a machining control method, device and system based on a five-axis machining machine tool and a medium. The method comprises the steps that geometrical characteristic parameters of a to-be-machined workpiece and tool characteristic information are obtained, a cutting force model is established according to the obtained geometrical characteristic parameters, and cutting force distribution conditions under different paths are calculated; in the cutting force model, based on the cutting force distribution condition and the geometric feature parameters, generating an optimal cutter path corresponding to the cutter feature information by using a path optimization algorithm; according to the generated tool path and tool feature information, establishing a simulation environment of the five-axis machining tool, and simulating motion states of the tool in different paths; in the simulation environment, setting a reward function including path smoothness and cutting force stability; using a reinforcement learning algorithm to optimize the fairness of the tool path, and generating a smooth tool path; verifying the generated smooth tool path in a simulation environment; and triggering a processing execution instruction. The machining precision and the surface quality are improved.

The invention relates to the field of numerical control machining center control, in particular to a control system and method suitable for a five-axis machining center, and the system comprises a data input module, a path planning module, a data processing module, a data processing module and a control module, the motion path generating module is used for generating a motion path of a cutter according to the geometrical shape and process requirements of a machined part, the motion control module is used for controlling motion of all axes in real time, the interference detection module is used for adjusting the path or posture of the cutter according to a detection result, and the feedback control module is used for collecting state data in the machining process through all sensors. And real-time adjustment and error compensation are carried out on the machining process according to the data, so that the problems of poor machining precision and relatively low working efficiency due to the fact that a machining tool path needs to be manually demonstrated during operation of the five-axis machining center at the present stage and parameters such as tool compensation, feeding amount and cutting speed need to be manually input according to a tool model are solved.

The invention discloses an electrode programming method and device, a readable storage medium and a computer program product, and relates to the technical field of automation, and the method comprises the steps: obtaining a tool path machining program of a to-be-generated electrode, and carrying out automatic batch processing based on the tool path machining program to obtain a batch processing result, the batch processing comprising post-processing, treading, plotting and simulation; if a simulation result in the batch processing result indicates that simulation is passed, it is determined that electrode programming is completed; and if a simulation result in the batch processing result indicates that simulation is not passed, acquiring an input tool path modification instruction, acquiring a modified tool path processing program according to the tool path modification instruction, and returning to the step of performing automatic batch processing based on the tool path processing program to obtain the batch processing result according to the modified tool path processing program. The efficiency and the automation level of electrode programming are improved, and then the efficiency and the automation level of electric spark machining are improved.

The invention relates to a robot G3 continuous corner smoothing method based on a Bezier curve. The method comprises the steps that robot small line segment machining tool nose position data is input, six times of Bezier curves are adopted for transfer fairing under a workpiece coordinate system, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of tool nose position fairing errors and the condition constraint that G3 at the curve connection position is continuous; secondly, robot small line segment machining cutter axis direction data are input, six times of Bezier curves are adopted in an RPY angle space under a workpiece coordinate system for transfer fairing, and control points of the Bezier curves are analyzed and calculated according to the maximum allowable value of fairing errors in the cutter axis direction and the condition constraint that G3 at the curve connection position is continuous; and finally, parameter synchronization is carried out on the cutter shaft direction and the cutter point position path after switching and smoothing, and a B spline straight line is adopted to replace the remaining linear section. According to the method, continuous and smooth switching of the tool path G3 can be realized analytically, no iterative computation is needed, and the processing real-time performance and stability are improved while the fairing error is controllable.

The invention discloses a five-axis machining tool path planning method for a complex curved surface, and relates to the technical field of numerical control machining. Subregions are divided based on the Gaussian curvature of a curved surface model, and a region equation is fitted; projecting the sub-regions and screening to obtain a boundary point set, fitting a curved surface equation by adopting cubic NURBS, and performing normal vector and curvature constraint optimization to splice an optimal curved surface equation; setting a section plane, calculating a section curve, calculating an arc length based on a Simpson formula, and planning a track point coordinate sequence according to the curvature; constructing a spiral equation of adjacent section planes, calculating a spiral step length based on a Simpson formula according to a position and tangent continuous constraint solving coefficient, and generating a cross-plane track point sequence; in the section plane, based on lossless and cutting direction constraints, an optimal angle sequence is obtained through optimization of a genetic algorithm, and a cross-plane angle sequence is obtained through cosine interpolation; and a machining pose sequence is generated through integration, and high-precision machining of the complex curved surface is achieved.

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 numerical control machine tool dynamic characteristic matching and machining path planning method and system for efficient cutting, and relates to the technical field of intelligent manufacturing and numerical control machining path optimizing.The method comprises the following steps that on the basis of a CAD three-dimensional drawing of a machined part, the CAD three-dimensional drawing is imported into CAM software, the machined surface and the non-machined surface of the part are determined, and the machining surface and the non-machined surface of the part are matched; various machining schemes and technological parameters of different machining faces of the part are generated through CAM software in combination with drawing parameter requirements; and for the generated machining schemes under the process parameters of the different machining surfaces, the machining rigidity and vibration parameters are calculated in combination with part material data, and meanwhile, the standard rigidity and vibration parameters of the current numerical control machine tool are collected. According to the method, the dynamic performance of the numerical control machine tool is combined, the tool path planning in the CAM programming process and the technological parameters are matched, and tailoring and force measuring are carried out according to numerical control programming of different machine tools.

The invention relates to the technical field of precision manufacturing, and discloses a high-precision numerical control machine tool thermal error compensation method and system.The method comprises the steps that temperature data of key parts of a machine tool are collected in real time through a sensor array, and temperature distribution is generated through preprocessing; simulating a heat propagation path based on finite element analysis to obtain thermal deformation distribution; quantizing contribution values of multiple heat sources to cutter position offset by adopting a neural network model; when the contribution value exceeds a threshold value, activating a cooling system compensation mechanism to generate an offset correction amount; the correction is fused into a machine tool control system to optimize a tool path, and the thermal error model is dynamically updated based on the deviation between the actual machining position and the predicted deformation; and finally, a self-adaptive control strategy is generated in combination with the working condition parameters and the heat source contribution value, and accurate control over thermal errors is achieved through real-time feedback circulation. The method can solve the problem of low machine tool thermal error control precision in the prior art.

The utility model belongs to the technical field of water turbine machining, and particularly relates to a robot relief grinding water turbine fixed guide vane tool which comprises a first adjusting mechanism and a second adjusting mechanism, the first adjusting mechanism and the second adjusting mechanism each comprise two bases, adjusting plates are vertically installed on the two bases, sliding supports are connected to the adjusting plates, and the sliding supports are connected to the first adjusting mechanism and the second adjusting mechanism. A bearing plate is connected between the two sliding supports, two adjusting bottom plates are symmetrically arranged on the bearing plate, and a vertically-arranged movable baffle is further arranged on the outer side of the first adjusting mechanism. The tool is suitable for robot relief grinding pumped storage and installation of the fixed guide vane of the mixed-flow water turbine. And through limiting of the tool, the number of times of manual teaching of the robot tool path is effectively reduced, and the working efficiency of automatic relief grinding of the guide vane is improved. Through limiting of the tool, the focusing accuracy of scanning of the three-dimensional camera is improved, then the optimization difficulty after the planning relief grinding path is generated is reduced, and the overall machining quality of the robot for relief grinding of the fixed guide vane is improved.

Example aspects of the present disclosure provide an example method. In some implementations, the example method can include receiving a request to perform a task; generating, using a machine-learned model, a plurality of tool paths for performing the task, wherein a respective tool path comprises one or more tool calls generated by the machine- learned model, each tool call configured to cause a corresponding tool to perform a step of the task; selecting a response to the request based on a consistency metric determined by evaluating a plurality of output states respectively from the plurality of tool paths; and returning the response.

The invention relates to a deep learning-based workpiece processing path feature identification method for a numerical control system. According to the method, a G code generated by a numerical control machine tool is analyzed and processed to obtain features of a tool path when a workpiece is machined. Particularly, the method not only performs basic data preprocessing and cleaning, but also performs deeper analysis by establishing cutter path characteristic indexes such as path length, angle, curvature and the like. The data classified through the feature indexes are used as input of a deep learning algorithm, and efficient recognition of the tool path features is further achieved. According to the numerical control machining tool path feature recognition method provided by the invention, the efficiency and the accuracy of feature recognition are improved, the perception capability of a complex machining path is further enhanced through application of a deep learning algorithm, and support is provided for intelligent recognition of the machining path of a numerical control system.

The invention relates to a surface topography prediction method based on a ball-end cutter model and a variable step size iterative algorithm, which is based on the ball-end cutter model, combines and applies a dynamic variable time step size strategy, accurately divides cutting and non-cutting tracks, and remarkably improves the simulation efficiency and precision. Through multi-coordinate system dynamic modeling and a specific function, the eccentricity of the ball-end milling cutter is compensated, the abrasion is accurately modeled, dynamic physical coupling is combined, the actual machining state of the ball-end milling cutter is accurately simulated, the simulation precision and authenticity are improved, and the high-precision requirement of aerospace parts can be met. Meanwhile, through modular design, a complex curved surface tool path is accurately simulated, and through adjustment of evaluation parameter threshold values, the method can be expanded to surface topography prediction of various difficult-to-machine materials, process parameters are rapidly iterated, and the process optimization period is greatly shortened.

The invention discloses a tool path and blank cutting volume calculation method based on point set representation, and the method converts a blank and a tool path into point sets, calculates the cutting volume through the intersection of the point sets, and simplifies the traditional geometric calculation. Meanwhile, the density of the point set can be flexibly adjusted, the calculation efficiency and precision of tool path optimization are improved, and dependence on an STL file and a third-party plug-in is avoided. The method is suitable for large-scale tool path optimization tasks, and the flexibility and controllability of the tool path optimization process can be improved.

A method for machine tool motion control which determines a time-optimal trajectory for a multi-segment tool path motion. Start and end waypoints for each segment of the overall motion are defined, along with other conditions such as cutting feed speed. An initial motion profile for each segment is computed based on the waypoint geometry and other constraints, and motion states at the waypoints which join the segments are optimized to provide the shortest total trajectory time. The optimized waypoint states include velocities and accelerations with non-zero values. An extra waypoint may be added to the trajectory, such as for collision avoidance, and the waypoint states are again optimized for minimum total time of the complete trajectory. Heuristic and gradient descent techniques are applied for computation of the optimum waypoint state values.

The invention discloses sealing ring trimming equipment and a self-adaptive control system thereof. The sealing ring trimming equipment comprises a combined cutting device, a detection device and the self-adaptive control system. The combined type cutting device integrates a rough cutting assembly and a mechanical fine cutting assembly, and rough cutting and fine trimming of a sealing ring blank can be completed in sequence. The detection device adopts a multispectral confocal sensor, and the self-adaptive control system comprises a rough cutting module which controls a rough cutting assembly to reserve a set flash; the fine cutting control module dynamically generates a tool path correction parameter and a cutting depth compensation value according to the real-time scanning data; the edge feature analysis module extracts key quality indexes such as residual flash contours and surface roughness; and the correction module dynamically adjusts the reserved flash amount and the fine cutting parameters through the fuzzy logic controller. The equipment is further provided with a cutter resistance monitoring module and an abrasion prediction compensation module, closed-loop control from rough cutting to fine cutting is achieved, the edge machining precision and production efficiency of the sealing ring are remarkably improved, and the equipment is suitable for the field of high-precision sealing element manufacturing.

The invention discloses a mirror surface machining method and a workpiece formed by the mirror surface machining method. The mirror surface machining method comprises the steps that a to-be-machined workpiece with the needed size is selected; a workpiece to be machined is clamped on a machining machine table; a first milling cutter is selected to conduct semi-finish machining on the shape and size of the workpiece to the needed standard size, and then a second milling cutter and a cutter path are adopted to directly cut the machining face of the workpiece through the mirror face machining technology; the workpiece is cooled while being milled, so that the situation that the temperature is too high in the milling process, tool deformation is caused, and cuttings adhere to the tool is prevented; the mirror surface machining method has the beneficial effects that the numerical control machine is used for milling the workpiece through the mirror surface machining method by adopting a special tool and a tool path, so that the finish degree of the machined surface of the workpiece can be improved by more than three levels (the roughness Ra value can reach below 0.2 mu m), and the machining precision of the workpiece is improved by more than three levels (the roughness Ra value can reach below 0.2 mu m). And the surface micro-hardness of the workpiece is improved by more than 10%, and the surface wear resistance and corrosion resistance of the workpiece are greatly improved.

The invention provides a digital twinning five-axis machine tool contour error prediction method and system and electronic equipment, and belongs to the technical field of numerical control machine tool precision control and digital twinning. According to the method, servo axis data are collected in real time at a numerical control system end, electromechanical parameters are identified on line, comprehensive disturbance is estimated, and an autoregressive exogenous (ARX) model is updated accordingly; an interpolation instruction is generated in a digital twin body end mirror image numerical control system process, an updated model is utilized to predict a shaft position with deviation, a tool path is obtained through kinematics positive solution, and finally contour errors are calculated through geometric alignment. According to the digital twinning five-axis machine tool contour error prediction method and system and the electronic equipment, dynamic and high-precision prediction of the five-axis machine tool machining track contour error is achieved through the online identification and digital twinning technology, the limitation of a traditional static compensation method is overcome, and the precision of the digital twinning five-axis machine tool contour error prediction is improved. And a key basis is provided for prospective process optimization and precision control, and the machining precision and efficiency are effectively improved.