450 results about "Tool path" patented technology

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 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 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 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 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 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.

The invention relates to the technical field of friction stir repair, and discloses a multi-dimensional defect friction stir solid-phase repair planning system and a defect repair method. The system comprises a defect acquisition unit for acquiring multi-dimensional defect data of a workpiece and generating a time-space correlation data set covering defect depth distribution, a material heat affected zone range, a friction tool wear state and environment temperature and humidity parameters; the feature reconstruction unit decomposes the data set and separates core and abnormal feature tensors; the repair planning unit generates a multi-region cooperation scheme containing a tool path, a pressure sequence and a rotating speed strategy in combination with the core features and the process constraints; the dynamic adjusting and optimizing unit monitors abnormal characteristics and adjusts the scheme when conditions are met; the collaborative strategy unit responds to cross-regional defect linkage abnormity, allocates a standby tool and updates a track offset; and the feature fusion unit fuses the multi-scale monitoring features to generate a repair quality evaluation feature set. The system enhances the comprehensiveness and adaptability of complex defect repair.

The invention relates to the technical field of ultra-precision intelligent manufacturing, in particular to an ultra-precision machining error compensation method based on multi-modal information fusion, a medium and equipment. The method comprises the following steps: acquiring three-dimensional shape data of a workpiece through an in-situ measurement device, synchronously acquiring temperature field and vibration data, constructing a multi-modal space-time tensor, inputting a physical information neural network to decouple a static geometric error, a time-varying thermal drift error and a dynamic vibration error, and generating a four-dimensional correction tool path to realize reverse compensation. According to the method, physical constraints are embedded through a PINN model, the problem of false thermal drift misjudgment in a traditional method is solved, experiments show that the RMS error of free-form surface machining is reduced to 5 nm or below, and the precision is improved by 70% or above; and meanwhile, error decoupling is endowed with physical interpretability, the small sample generalization ability is enhanced, and a technical basis is provided for process optimization.

The invention relates to a tool path planning method, device and equipment for a pumped storage power station construction site, a storage medium and a program product, and relates to the technical field of construction site path planning. The method can improve the construction management efficiency and the construction safety. The method comprises the following steps: constructing an environment model of a pumped storage power station construction site through a grid method according to environment information of the pumped storage power station construction site; determining path length cost, gradient cost and path smoothness of the environment model, and setting an objective function of the environment model; setting constraint conditions of the environment model according to the path passing constraint, the gradient constraint and the path smoothing constraint of the construction equipment; and under the condition that constraint conditions are met, iterative optimization is carried out by taking minimization of the objective function as a target through a Latin hypercube sampling, Levy distribution strategy and stable development change-based Heman optimization algorithm to obtain an optimal solution of the objective function, and an optimal path planning scheme of the construction equipment is obtained according to the optimal solution.

The invention belongs to the technical field of numerical control machining, and discloses a numerical control machining tool path regulation and control method and system based on a dynamic coordinate system and overcut pre-judgment. The method aims at the problems that in complex curved surface grinding, due to static programming, tracks and poses are disjointed, and the overcut risk is difficult to control in time. The method comprises the steps that a dynamic coordinate system updated along with a tool edge line in real time is constructed, and design coordinates are mapped to the coordinate system; a sampling point is preset in the neighborhood of a grinding wheel theoretical contact point, and the theoretical distance and the actual distance between the sampling point and the axis of the grinding wheel are quantitatively calculated to achieve intelligent pre-judgment of the overcut risk before machining; and when it is judged that the risk exists, differentiated grinding wheel dynamic deflection angle correction is triggered in a grading mode according to the overcut occurrence position, and a perception pre-judgment correction closed loop is formed till the risk is eliminated. Dynamic coupling and self-adaptive regulation and control of the tool path and the real-time pose are achieved, and the machining precision, the consistency and the process reliability are remarkably improved.

The embodiment of the invention can be applied to the technical field of instrument machining, and particularly provides a compensation method and device for medical instrument component machining, and the compensation method comprises the steps that clamping data and heat distribution data of medical instrument components are collected; performing attitude correction calculation on the clamping data to obtain a component coordinate system, comparing the component coordinate system with a preset coordinate system in a machining program to obtain a coordinate system deviation, and adjusting a preset cutter path and a preset cutter feeding speed by utilizing the coordinate system deviation and the heat distribution data to obtain a workpiece; the corrected tool path and the adjusted tool feeding speed are obtained; and after a machining instruction is generated based on the corrected tool path and the adjusted tool feeding speed, the machining instruction is applied to a CNC machining center for compensation. According to the technical scheme, dynamic compensation control over the CNC machining center can be achieved, and the defects of an existing compensation mode in the aspects of attitude error linkage compensation and heat distribution dynamic response are overcome.

Systems and methods utilize a CNC machine and include processor(s) that initiate display of a cutting program for cutting, via a cutting tool of the CNC machine, a block of material, where the cutting program sets a bounded region for cutting into the block of material. A selection of a first part from catalogued part(s) is received, and based thereon (i) G-code data of the first part into a current cutting cycle of the cutting program is imported, and (ii) a cutting tool path used to cut into the bounded region defined by the cutting program is displayed, where the cutting tool path outlining a shape of the first part such that cutting, via the CNC machine, along the cutting tool path forms the first part from the block of material. A positioning input is received that indicates a location for the cutting tool path relative the bounded region.

The invention provides a numerical control machining cutting force adaptive control method, which comprises the following steps of: generating cutting force distribution along a machining tool path according to cutting force, feeding speed and machining line numbers acquired in a preprocessing process, performing feature segment identification on the cutting force distribution, generating corresponding CF codes as initial identifiers of different feature segments, and performing feature segment identification on the CF codes; compiling into a corresponding line number of the G code to obtain an NC program; the method comprises the following steps: actually machining a workpiece according to an NC program, taking an online collected actual cutting force at the current moment as a feedback cutting force, and taking a deviation between the feedback cutting force and a target cutting force and a CF code of a next machining line number in the NC program as input of a cutting force adaptive control system; and the feedback cutting force in the machining process is close to the target cutting force by adjusting the feeding speed of the numerical control machine tool on line. According to the method, the CF codes distributed along the machining tool path are introduced to serve as constraints of cutting force control, the robustness of self-adaptive control and the uniformity of cutting force distribution in the machining process are improved, and therefore the machining efficiency is improved.

The invention relates to the technical field of numerical control machining and path planning, and discloses a sharp corner compensation method, device and equipment based on a vector path and a medium. The sharp corner compensation method comprises the steps that a vector graphic file is obtained, path data is extracted, and coordinate information of a straight line segment and a curve segment in the path is analyzed; judging sharp corners and generating a sharp corner set according to the line segment connection relation and the side length non-zero condition, calculating a supplementary angle of each sharp corner and determining a compensation parameter by combining the radius of the cutter, generating a compensation point coordinate set based on the compensation parameter, and adjusting the cutting path according to the compensation point coordinate set to generate a cutter path optimization instruction. According to the method, the geometric features of the vector path are automatically identified and the compensation point of the sharp corner area is calculated, so that accurate compensation and path optimization of the sharp corner in the two-dimensional cutting equipment without rotation control are realized, the cutting precision and the edge forming quality are effectively improved, the path offset and the corner error are reduced, and the product quality is improved. And the continuity of the cutting track and the stability of the machining effect are ensured.

The invention relates to the technical field of industrial vision, and discloses a carton cutting positioning method and system based on machine vision, and the method comprises the steps: obtaining a first position data set of a carton and real-time speed data of a cutting tool; extracting features according to the first position data set to obtain carton position offset; predicting a motion track according to the offset to obtain a predicted position data set; dynamically compensating the predicted position data set in combination with a preset vibration model to obtain a first dynamic compensation track; analyzing the difference between the first dynamic compensation track and the actual path, and generating a deviation rule data set; according to the track deviation, the tool path and speed are adjusted, and a second dynamic compensation track is obtained; optimizing the trajectory speed of the second dynamic compensation trajectory to obtain a final cutting path; cutting path control parameters are extracted, a control instruction is output according to the positioning result, and an execution instruction set is obtained. According to the method, accurate positioning of carton cutting can be achieved, the cutting precision and stability are improved, and the high-precision production requirement is met.

The invention provides a laser engraving path planning method, system and device and a medium, and relates to the technical field of laser engraving, the method comprises the steps that a preset format file is obtained, and the preset format file comprises a three-dimensional model of a to-be-machined part; performing cross cutting on the three-dimensional model to obtain a plurality of intersection points and a plurality of intersection lines; performing contour reconstruction on the three-dimensional model based on each intersection point and each intersection line to obtain at least one closed region segmentation curve; based on each region segmentation curve, determining an inclusion relation among the region segmentation curves by adopting a Vatti polygon cutting algorithm; establishing a topological relation tree based on inclusion relations among the region segmentation curves; performing region division based on the topological relation tree to obtain a plurality of different processing regions; and for each machining area, a preset filling method is adopted to generate a corresponding carving tool path. According to the method, the machining precision is guaranteed through local intersection point and intersection line processing while the machining area is accurately and rapidly divided to generate the carving tool path.

The invention discloses an intelligent control method of a numerical control dotting and ruling machine for mold machining, and particularly relates to the field of numerical control machining control. The method comprises the following steps: establishing a three-dimensional point cloud model containing surface microscopic curvature distribution and a local stress-strain relationship by acquiring a space geometric model and material physical parameters of a target mold workpiece; performing grid division on the point cloud model, extracting curvature features and local elastic modulus of each grid unit, and constructing a parameter matrix; in combination with the initial track of the preset tool path, modulating by adopting a self-adaptive control algorithm to generate a corrected path; in the machining process, a control vector is constructed based on the corrected path and the dotting depth and the scribing force which are fed back in real time, an execution mechanism is driven to conduct closed-loop control, and dynamic compensation of each dotting and scribing action is achieved; the method can effectively solve the problems of uneven dotting depth, lineation deformation and quick tool abrasion in the machining process of complex curved surfaces or high-strength materials, and the machining precision and stability are remarkably improved.

The invention relates to the technical field of numerical control planer mills, in particular to a dynamic thermal error compensation method and system for a double-moving-column numerical control planer miller, and the system comprises a plurality of temperature sensors which are distributed in a key heat sensitive area of a machine tool, and a laser range finder and an encoder which are used for monitoring the displacement of key parts. Synchronously collecting temperature data and displacement data of the machine tool in real time; according to the thermal error monitoring method and the thermal error monitoring system, through multi-sensor data fusion and Kalman filtering denoising, the reliability and the signal-to-noise ratio of thermal error monitoring data are remarkably improved; a nonlinear mapping relation between a temperature field and complex machine tool deformation can be accurately described by utilizing a thermal error prediction model, the problem that compensation is not timely due to temperature lag in a traditional method is fundamentally solved, a tool path is corrected in real time through a numerical control system, online and dynamic software compensation is achieved, and the real-time compensation precision is improved. Therefore, the machining precision and the consistency of the workpiece are greatly improved.

The invention relates to the technical field of computers, and discloses a data generation method, electronic equipment, a readable storage medium and a program product, which can efficiently produce tool calling data of an intelligent agent which is high in quality, wide in coverage and adaptive to a complex scene, reduce labor cost and provide support for training of the intelligent agent in the complex scene. Specifically, the method can construct a tool dependency graph corresponding to a plurality of tools in a tool library related to a task model. Then, according to the tool dependency relation graph, one or more tool paths are determined, enhancement operation is carried out on the tool paths, and the enhanced tool paths are obtained; then, task configuration information corresponding to each enhanced tool path can be obtained, then a group of dialogue track data corresponding to each piece of task configuration information is obtained, and each group of dialogue track data is used as tool calling data of a task model; each group of dialogue track data is data generated by performing simulation task interaction based on the corresponding task configuration information.

The invention relates to the technical field of machining control, and discloses a right-angle head side face machining method, device and equipment and a storage medium. The method comprises the steps that current installation direction information of a right-angle head is obtained, coordinate axis mapping is conducted, a coordinate transformation rule is obtained, and a working plane module of a rear processor is created according to the coordinate transformation rule; performing position exchange of an axis coordinate output formatted statement based on the working plane module to obtain an axis number output module; executing direction remapping of the arc interpolation motion instruction based on the axis number output module to obtain an arc interpolation module; automatically identifying and deleting a program statement containing a preset zero returning instruction in the circular interpolation module to obtain a target post-processor file; and compiling and converting the path data of the two-dimensional plane machining tool by using the target post-processor file to obtain a numerical control machining program, so that the continuity and the machining precision of an arc machining path are ensured, and the overall efficiency from programming to machining is improved.

The invention relates to a constraint-driven five-axis machining singular area tool path local deformation optimization method. In order to solve the problem that the machining quality is reduced due to the fact that a cutter shaft vector enters a singular area to cause abrupt change of rotation shaft motion, the method comprises the steps that based on an A-C double-turntable five-axis machine tool kinematics model, a singular phenomenon mechanism is revealed through a differential motion relation, and the singular area is defined as a conical area meeting the condition that a cutter shaft vector component Tk is larger than or equal to epsilon k (epsilon k = cos5 degree is approximately equal to 0.9962); identifying a cutter axis vector point set entering a singular region in a cutter path, and expanding transition points along the path to construct a sequence to be optimized; interpolating the rotation angular displacement of the sequence by adopting a B spline curve; establishing an optimization model taking a minimum angle jerk integral square norm (guaranteeing motion stability) and a minimum cutter axis vector deviation (maintaining machining precision) as double targets; and solving an optimal B spline control point through a sequential quadratic programming (SQP) algorithm under a non-singularity constraint machine tool kinematics constraint (angular velocity / acceleration limitation) and a motion continuity constraint (C2 continuity at a connection point), and generating a smooth optimized tool path avoiding a singular region. By means of the optimization method, smoothness optimization of the tool path and stability of machine tool movement are achieved, machining errors are effectively controlled, and the method is suitable for five-axis high-precision machining of complex curved surfaces in the fields of aerospace, mold manufacturing and the like.

The complex curved surface honeycomb machining method is suitable for machining a product of an aviation thrust device, the product comprises a to-be-machined area and a non-machined area, and the machining method comprises the steps that S1, UG-NX software is used for optimizing a 3D model of the product; s2, outputting a product processing tool path by utilizing UG-NX software; s3, virtual simulation is carried out on the tool path, computer debugging is carried out, and cutting parameters and technological parameters are obtained; and S4, the product is fixed through a preset tool clamp, numerical control is adopted for cutting machining, a final product is obtained, and the machining efficiency can be improved.

The invention provides a parameterized NURBS curve cutter radius compensation method and device, and relates to the technical field of numerical control machine tool machining control, and the method comprises the steps: calculating an offset direction for each original control point of an original NURBS curve, and carrying out the offset of the original control points through combining with a cutter compensation radius, and obtaining offset control points; performing position optimization on the offset control point; if the maximum error value between the offset NURBS curve constructed after position optimization and the ideal offset curve is greater than an error threshold value, adding a new original control point for the original NURBS curve in an error overrun area; after an original control point is added, the steps of control point offset, optimization, error calculation and judgment are repeatedly executed till the maximum error value between the obtained offset NURBS curve and the ideal offset curve is smaller than or equal to an error threshold value, and a final target control point is obtained; and generating a target NURBS curve based on the target control point, and performing smoothing processing on a trajectory self-intersection point and a breakpoint on the target NURBS curve to obtain a final tool path.

The invention relates to the technical field of thermal power generating unit equipment maintenance, in particular to an augmented reality assisted thermal power generating unit equipment maintenance guidance system, which comprises a multi-subject maintenance behavior sensing module for acquiring tool paths, voice instructions and interactive response data, and constructing a behavior collaboration map to identify task divergence and path offset; the strategy mediation and conflict suppression module compares the behavior cooperation map with a standard path, and generates a main path recommendation, a task locking prompt and a synchronization instruction in combination with historical cases; and the augmented reality task synchronization guide module links the mediation suggestion with the current AR scene, and reconstructs and synchronizes the operation path based on the operation progress. According to the method, intelligent conflict identification, path dynamic mediation and task cooperative guidance in the maintenance process of the multi-main-body thermal power generating unit are realized, and the operation consistency and safety reliability in a complex maintenance scene are effectively improved.

The invention relates to a dynamic lag compensation method for inclined hole machining of a base of a water jet cutting machine. The dynamic lag compensation method comprises the following steps that S1, machining parameters are obtained; s2, establishing a dynamic lag vector model; s3, based on the target axis vector of the inclined hole, establishing an asymmetric taper prediction model; s4, coupling the dynamic lag vector model and the asymmetric taper prediction model to generate a comprehensive compensation model; s5, real-time reverse compensation is conducted on a preset inclined hole cutting theoretical tool path; s6, the high-pressure abrasive water jet device is controlled to conduct inclined hole machining on the cutting machine base according to the execution path; and S7, in the cutting process, water jet pressure, abrasive flow and nozzle abrasion state parameters are built in real time. The method has the following advantages that accurate compensation of the dynamic hysteresis effect and effective suppression of the asymmetric taper are achieved, the hole axis and position precision is remarkably improved, and the high-quality hole wall shape is obtained.

The invention relates to the field of numerical control post-processing, and particularly discloses a five-axis series-parallel processing machine tool tool path post-processing method, which comprises the following steps: establishing a target test piece CAD model, importing a CAM software planning path, and generating an original tool location file containing a tool nose position and a tool axis direction vector; c4 continuous pH splines are inserted between corners and adjacent small line segments for fairing, and control polygon side length constraints are set; local synchronization is firstly carried out, and then a seven-time B spline is used for replacing a straight line segment to carry out global synchronization; key point speed limiting is conducted, feeding speed constraint is obtained in combination with multiple constraints, and the speed is planned through a mixed S-shaped curve; and S6, judging the position of an interpolation point, and selecting a corresponding mode for calculation. According to the technical scheme, the problems that fairing is sensitive, errors are difficult to control, pH splines are only C3 continuous, and parameters are not synchronous are solved, track continuity is improved, vibration and tracking errors are reduced, and machining precision and efficiency are improved.

The invention provides a gantry numerical control milling machine machining method for self-adaptive intelligent tool path planning, and belongs to the technical field of numerical control milling machines, and the gantry numerical control milling machine machining method comprises the following steps: S1, obtaining three-dimensional model data of a workpiece, carrying out feature recognition and analysis on the three-dimensional model data, and determining to-be-machined features, including a plane, a curved surface, a hole and a groove, of the workpiece; s2, according to the to-be-machined features, in combination with a machining technology knowledge base, a proper tool type, tool size and initial cutting parameters are automatically matched; and S3, based on a self-adaptive algorithm, collecting state information of the gantry numerical control milling machine in the machining process in real time. According to the method, automatic feature recognition is realized through three-dimensional model analysis, manual intervention is reduced, and the processing preparation efficiency is improved; cutters and parameters are matched through a process knowledge base, the reasonability of an initial machining scheme can be ensured, and the trial and error cost is effectively reduced; and through real-time state monitoring and self-adaptive adjustment, the machining process is optimized, and the machining precision and the surface quality can be improved.