596 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.

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 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 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 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.

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 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.

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 discloses a non-standard mould base batch forming method and system, and relates to the technical field of mould base forming, and the method comprises the following steps: firstly, clamping a plurality of non-standard mould base workpieces to be machined on a machining platform of machining equipment, constructing a workpiece coordinate system according to a workpiece design reference, and determining a machining center coordinate system according to an equipment fixed reference point; then acquiring a reference angle and coordinate system parameters when the workpiece is initially clamped, measuring coordinate data of at least three feature points in a measurement coordinate system, and calculating a conversion matrix of an actual coordinate system relative to a machining center coordinate system according to the coordinate data; identifying features of to-be-processed parts of workpieces, selecting an adaptive processing strategy from a standard database, generating an actual processing path in combination with a conversion matrix, gathering the same tool processing parts according to the processing strategy, generating a tool path instruction in combination with cutting parameters, and processing a plurality of workpieces in batches according to the path and the instruction, so that accumulation of coordinate conversion errors is effectively avoided; therefore, the position precision of the to-be-machined part is ensured and the rejection rate is reduced.

A first method includes: accessing a coating thickness range; triggering sensors to capture scan and depth data of a workpiece; assembling a virtual model; defining initial spray parameters and a toolpath; driving a coating applicator to apply coating; capturing updated depth data; calculating coating thickness; and, if the thickness falls below the minimum target, redefining spray parameters and toolpaths to reapply coating until the target thickness is applied. A second method for media blasting a workpiece includes, during a scan cycle: capturing images via an optical sensor along a scan path; compiling a virtual model; accessing blast parameters; and generating a tool path for a workpiece region based on the model and parameters. During a processing cycle, the second method includes navigating a blast nozzle along the tool path with actuators and projecting blasting media onto the workpiece according to the blast parameters.

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 invention relates to a process forming method for a large thick-wall special-shaped curved surface carbon steel stainless steel shell. According to the process forming method, it is ensured that the high-precision molded surface size of the special-shaped curved surface shell is achieved in the forming process through multi-link optimization control. On the basis of allowance amplification optimization of three-dimensional modeling and expansion, by combining numerical control cutting and leveling processes, simulating a cutter pressing line path through software, and performing trial-manufacturing verification by using equal-proportion sample pieces; line-by-line and tool-by-tool pressing and two times of shaping inspection are adopted in the step-by-step pressing process, and the local deformation amount is corrected in real time; in the pre-assembly stage, the goodness of fit of assembly lines is ensured through three-dimensional lofting and scribing and tool positioning, and welding thermal deformation and residual stress are effectively controlled in cooperation with anti-deformation tool welding and aging treatment. Digital simulation, parameter iterative optimization, process error compensation and mechanical stability control are fused in the whole process, so that the profile precision of the shell meets the design requirement in the cold forming stage, and relying on machining correction is avoided.

The invention provides a furniture board processing equipment control method. The furniture board processing equipment control method comprises the steps that board cutting tasks received in a polling mode are distributed to processing equipment; calculating the total length of a processing track required by each device for completing a new task and not executing a task, and determining a priority by combining with a cutting feeding speed; path scheduling is sequentially carried out according to priorities, during scheduling, whether tool interference or path overlapping exists in machining schemes between adjacent cutting coordinate points or not is judged on the basis of equipment state information, including tool paths of tasks being executed and tool paths of tasks not being executed, and a next execution node is selected from adjacent points without conflicts, the equipment state information comprises cutter positions, time points and motion tracks, conflict detection is realized by calculating cutter spacing and motion route directions, and priorities are sequenced according to track length and task completion time estimated by speed. According to the method, the scheduling efficiency and the machining precision of furniture plate machining equipment can be improved, the tool interference risk is avoided, and optimization of multi-task parallel processing is achieved.

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.