97 results about "G-code" patented technology

The invention discloses a concrete 3D printing path optimization method and system based on reinforcement learning, and the method comprises the following steps: representing a to-be-printed geometric model as a graphic structure composed of nodes and edges, each node being a specific position in a three-dimensional space on a printing surface, and the edge representing a feasible moving path of a printing head between the nodes; performing dynamic optimization on the movement of the spray head through a Q-learning algorithm, performing iterative calculation on a Q value, and completing dynamic adjustment on a printing path on the basis of an instant reward to obtain an optimal printing path with the minimum movement distance, the minimum sharp turn frequency and the minimum start-stop frequency; the optimal printing path data is converted into a standard G code, and the 3D printer is controlled to execute the optimal printing path based on the standard G code; by combining the solving process of the optimal Q value in the Q-learning algorithm and the construction requirements of concrete 3D printing path planning, the accurate optimal printing path planning can be efficiently completed through the self-learning-self-evolution algorithm advantages of the reinforcement learning model.

The invention discloses a Solidworks model-based machining program generation method and system, and belongs to the technical field of computer-aided manufacturing, and the method comprises the steps: S1, analyzing the modeling features of each part in a Solidworks model, carrying out the matching analysis of the modeling feature sketch contour and sketch plane normal vector with a feature library, obtaining a machining feature category, and carrying out the recognition of the machining feature category; performing feature grouping according to the processing feature category and the processing direction; s2, identifying and extracting the part size and tolerance marked in the sketch; s3, analyzing a part machining process based on the machining feature category, the part size and the tolerance; s4, the blank type, machining allowance distribution, machining steps and a clamping mode are determined; s5, the three-dimensional space coordinates of the machining contour are converted into machine tool machining coordinates, and machining information is sequenced; s6, the machining path of the part machining technology is calculated; and S7, according to the machining path, combining with an instruction supported by a specific machine tool, performing post-processing to generate a G code.

The invention discloses a numerical control intelligent grinding machine programming system and method, and relates to the technical field of numerical control grinding machines. According to the technical key points, based on a machining information input module, a workpiece contour rapid identification module, a workpiece size accurate measurement module, a grinding program automatic generation module, a coordinate system calibration module, a program simulation verification module, a machining state data acquisition module and a grinding parameter optimization module, the size of a grinding workpiece blank can be accurately identified; according to the method, an executable program code file is generated, the numerical control guide rail grinding machine executes cutter parameters, machining parameters, G codes, interpolation precision and the like in the code file to achieve automatic machining, the grinding parameters are optimized in real time in the grinding process, and the method is simple, efficient, easy to use and high in engineering practicability.

The invention discloses a hemispherical resonator three-dimensional quality finishing system and method, and the method comprises the steps: measuring the spherical thickness error data of a hemispherical resonator, decomposing the spherical thickness error data into a harmonic thickness error, selecting an ion beam diameter, and obtaining a corresponding removal function; carrying out edge continuation equivalent to the diameter of the removal function on the harmonic thickness error data to obtain a thickness error matrix, expanding the dimension of the removal function to be the same as the dimension of the thickness error matrix to obtain a material removal matrix, and correcting the thickness error matrix according to an incident angle of the removal function; residence time is solved according to the corrected thickness error matrix and the material removal matrix, then path planning is carried out according to the residence time, a machining G code is generated, and finally the machining G code is used for machining the hemispherical harmonic oscillator. The invention provides an efficient trimming method for harmonic oscillator spherical surface annular domain thickness errors, and solves the problems that coupling vibration is difficult to decouple and three-dimensional mass error distribution cannot be identified during quality trimming according to performance test feedback in a traditional method.

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 belongs to the related technical field of numerical control machining, and discloses a cutter shaft instruction smoothing method and device based on Kalman filtering, and the method comprises the steps: (1) building a cutter shaft vector error transformation model based on five-axis machine tool kinematics; (2) determining a value taking strategy of a measured value and a predicted value in a Kalman theory in combination with a cutter shaft optimization scene, and determining an error constraint condition; (3) establishing a particle swarm fitness function by considering the cutter shaft instruction smoothness and the cutter shaft vector allowance utilization rate during filtering smoothing, optimizing filtering parameters based on the particle swarm fitness function, and determining values of a measured value and a predicted value based on the optimized filtering parameters and a value strategy; and (4) based on the Kalman filtering theory, combining the values of the measured value and the predicted value, and the optimized filtering parameters and error constraint conditions, carrying out filtering smoothing processing on the G code cutter shaft instruction, and constraining the filtering error of the G code cutter shaft instruction at the same time. According to the invention, smoothing of a cutter shaft instruction is realized.

The invention relates to the technical field of numerical control machine tool programming, and provides a G code generation method and device based on voice control. The method comprises the following steps: acquiring a processing demand voice input by a user, wherein the processing demand voice is a voice describing a processing demand of a to-be-processed workpiece; the machining demand voice is analyzed, machining information is obtained, and the machining information is information describing the machining requirement corresponding to the to-be-machined workpiece; and generating a G code for the to-be-processed workpiece according to the processing information. The method is convenient to use in a factory production environment, and an operator can directly control and generate a G code beside a numerical control machine tool through a voice instruction. According to the method, the programming efficiency is remarkably improved, the operation threshold is lowered, and the method is suitable for various machining devices.

The invention relates to the technical field of numerical control machining equipment, in particular to a corner cleaning machine control method and system based on teaching programming. The method comprises the following steps: setting multi-head cutter offset parameters through a parameter configuration interface; fixing the profile model on a teaching interface, and generating a tool path through shaft movement; selecting an interpolation type, calculating path coordinates according to the interpolation type, and superposing offset values; the three-point colinearity is verified in the IJ mode, and the radius legality is verified in the R mode; and generating a multi-machine-head NC file, and embedding a dynamic offset variable and a synchronization instruction. According to the method, dragging-clicking type programming is achieved through a visual interface, traditional manual compiling of G codes is replaced, visual input of a straight line / arc interpolation path is supported, and a system automatically generates a G code instruction.

The invention provides a method and a device for integrating G codes of an integrated IEC (International Electrotechnical Commission) 61131-3 programming system. The method provided by the invention comprises the following steps: in an expanded IEC (International Electrotechnical Commission) 61131-3 programming environment, compiling a mixed program containing a G code and an IEC 61131-3 standard language code at the same time; performing standardization processing on the G code to generate a structured G code abstract syntax tree; mapping and converting the G code abstract syntax tree into a function block call and logic statement meeting the IEC 61131-3 standard; the converted content is fused with an IEC 61131-3 standard language code, and an executable code is generated; executing the executable code according to a preset task scheduling rule, and collecting hardware execution data as feedback information in real time; and performing joint debugging on the G code and the IEC 61131-3 standard language code based on the feedback information to obtain a hybrid control program suitable for an industrial control scene.

The invention discloses an online teaching method and system suitable for laser cutting, and relates to the technical field of laser cutting. The method comprises the following steps: S1, running a generated G code cutting file, pausing and recording a line number at a deviation position between a theoretical cutting point and an actual cutting position, selecting a preset operation mode for adjustment according to displayed data, and after adjustment is completed, covering an original file with edited data and reloading; or S2, a cutting program is input in a software editing interface, cutting parameters are set, the cutting parameters comprise the cutting speed and the process type, a cutting head is moved to a designated position to execute a cutting instruction, and by inserting related instructions and macro programs in a display list, definition and editing of all cutting contours are completed, and a G code program is generated. Through real-time deviation adjustment, a simplified operation process and a flexible adjustment mode, the precision, the adaptability and the operation convenience of the laser cutting process are improved, and the working efficiency and the cutting quality are remarkably improved.

The invention relates to the technical field of numerical control machining simulation, in particular to a simulation control method and device for die-free turning machining and a storage medium, and the method comprises the steps that a CNC code of a target workpiece is obtained; reading G codes in the CNC codes line by line; classifying each instruction of the G code based on a preset type library; positioning and extracting a target instruction of which the instruction type is a motion instruction; performing parameter analysis on the target instruction, constructing a motion path data set of the cutter, and calculating a motion vector set of the cutter in a space; according to the motion vector set of the tool in the space, based on the current tool type, calling a tool path simulation engine, rendering a tool model and simulating the motion track of the current tool, and forming a current tool motion path model. Before the sample is subjected to die-free turning machining, the machining process can be subjected to analogue simulation, risk abnormity possibly existing in the machining process is found, the problems existing in actual machining are reduced, and the machining quality is improved.

The invention belongs to the field of intelligent manufacturing, and particularly relates to a G code generation method based on a large language model. The invention aims to solve the problem that an existing G code generation method based on a large language model is high in G code generation error rate. According to the G code generation method based on the large language model, user requirements (such as a natural language or a structured text) are rapidly analyzed through a pre-training language model (BERT), and key parameters such as a processing object and a technological process are rapidly extracted; then, through a graph network model: a pre-constructed G code knowledge graph, rapidly retrieving an adaptive code snippet and generating a calling relationship, and avoiding repeated calculation; and finally, through a large language model (Qwen2.5), a final code is generated only based on structured input. The problem that an existing G code generation method based on a large language model is high in G code generation error rate is solved.

The present application relates to the technical field of additive manufacturing online monitoring and closed-loop control, in particular to a 3D printing workpiece defect identification system based on image detection; containing coaxial acquisition, potential mapping, diffusion analysis, singular point extraction and bidirectional feedback module; the system converts the collected image stream into a virtual flow velocity vector field; the core is to simulate the evolution of the physical field by using the virtual viscosity diffusion algorithm, calculate the difference of the vector field before and after diffusion to extract the topological mutation, and generate a defect potential thermal map; based on the potential value of the thermal map, the system performs bidirectional feedback of generating G code intervention instructions and adjusting the virtual viscosity coefficient; the present application reduces the pattern recognition to local physical field simulation, without sample training, and realizes millisecond-level real-time response.

Reducing display G code and / or machining shape by selected tool. A numerical control device which automatically generates a machining program, has: an association information storage section which stores association information which pre-associates tool information related to a plurality of tools, a shape identifier which indicates a shape which each of the plurality of tools can machine, and at least one G code which can be used in order to machine the shape indicated by the shape identifier; a tool information acquisition section which acquires tool information related to a tool selected in machining; a shape ID information extraction section which queries the association information storage section using the acquired tool information to extract a shape identifier which indicates a shape which can be machined by a tool of the acquired tool information; a machinable shape extraction section which extracts a machinable shape from CAD data according to the extracted shape identifier; and a machinable shape display section which displays the extracted machinable shape.

The application discloses a kind of soft material 4D printing method and device with regionalized magnetic domain direction.The method comprises the following steps: establishing partition three-dimensional model and planning printing path to generate original G code;Based on the preset magnetic domain direction requirement, obtain the driving parameters of multiple magnetic poles by magnetic field model reverse decoupling, and re-edit G code to integrate magnetic field control and UV light control instruction;Prepare UV-curable soft material containing magnetic particles;After setting printing parameters, execute printing, synthesize three-dimensional magnetic field of preset direction at extrusion point when material extrusion makes magnetic particles directional, and delay to open UV light curing to lock magnetic domain direction.The application realizes three-dimensional space regionalization editing of magnetic domain direction inside soft material, significantly improves the deformation design freedom and motion control accuracy of 4D printing product, and provides reliable technical support for integrated manufacturing of complex driven soft robot.

The application discloses a numerical control machine tool control method and system for complex curved surface machining, and relates to the field of numerical control machine tool control. The method comprises the following steps: extracting an original G code instruction stream, reconstructing ideal position instruction sequences and ideal speed instruction sequences of each motion shaft according to a machine tool kinematic chain model; estimating instruction phase lag amounts of each motion shaft through an inter-shaft phase lag predictor; combining geometric curvatures and tangent directions of a machining path, calculating estimated profile error vectors through a profile error coupling mapping model; combining profile accuracy requirement constraints of a surface to be machined and a shaft contribution weight matrix, and constructing a compensation optimization model; and fusing inter-shaft phase compensation instructions and the original G code instruction stream in a numerical control machining program according to a solution of the compensation optimization model, generating a synchronized instruction stream, and driving each shaft of the machine tool to move. The method solves the problems of poor synchronization of multi-shaft cooperative movement, low estimation accuracy, and low adaptability of instructions to mechanical structure characteristics of the machine tool.

This program editing device comprises: a unit imparting unit that imparts a unit to a machining program on the basis of G codes and arguments of G codes included in a machining program used for machining in a machining device; and an output unit that outputs the machining program to which the unit is imparted by the unit imparting unit.

The application discloses a hot-pressing dot cluster arrangement processing technology for improving the efficiency of BLU picture improvement, S1: light guide plate design, CAD software is used to draw design drawings of the light guide plate, and G code programs are exported for use of numerical control machine tools; S2: material selection and pretreatment; S3: installation and calibration; S4: according to the design requirements of the light guide plate, appropriate hot-pressing molds are designed and selected, the hot-pressing molds are divided into several independent areas, each area has different heating elements and pressure adjusting devices; S5: segmented processing, the light guide plate is divided into multiple areas, each area corresponds to different dot arrangements, different processing parameters are set in the G code programs; S6: detection and analysis. The dot cluster arrangement of the light guide plate processed by the application greatly improves the gap between clusters, so that the dot density reaches 100%, and the gap between clusters is also guaranteed to be greater than 40% of the length of the cluster dot, and the requirement of the hot-pressing equipment for transfer printing can be met.

The invention discloses a numerical control machining path cutting method, system and device and a readable storage medium. The method comprises the following steps: acquiring an original G code file, and extracting tool path coordinate points in the original G code file to generate a first tool path coordinate set; in response to the geometric parameters of the defective area input by the user, screening coordinate points belonging to the defective area in the first set to generate a second set; and traversing the corresponding relationship between each path coordinate point and the original G code command, adding the original G code command to the coordinate points having the corresponding relationship with the original G code in the second set, and generating a flaw area G code command. Compared with the prior art, redundant calculation is avoided. Meanwhile, the method can adapt to various irregular flaw areas, and the adaptability of the technical scheme is improved. Furthermore, no specific requirement is made on the form of the defect area, so that the learning cost of the scheme is reduced from the other aspect, and the cutting and reproduction precision of the defect area is improved.

The embodiment of the invention discloses an anti-overload control method and system for a numerical control machine tool cutter, and aims at solving the problems that a traditional fixed threshold value protection mechanism is poor in adaptability and lags in response. In the aspect of the control method, a tool load self-learning function is started through a G code, the maximum load rate of a main shaft in normal machining is recorded, a load monitoring threshold value is dynamically calculated in combination with a self-learning coefficient, and precise protection of one-tool one-threshold value is achieved. And during secondary machining, the load value and the threshold value are compared in real time, a stepped adjusting mechanism is started when the limit is exceeded, the feeding rate is reduced firstly to relieve overload, and alarm shutdown is triggered if the limit is invalid. In the aspect of the system, a modular architecture comprising a control unit, a data acquisition and storage unit, a self-learning start-stop unit and a comparison and adjustment unit is constructed, and all the units cooperate to realize full-process management and control of an anti-overload function. And aiming at the turning and milling composite machine tool, a main shaft switching protection unit is additionally arranged, protection objects in different machining modes are automatically adapted, and the practicability and compatibility of the system are improved.

The application discloses a numerical control program generation and simulation optimization system based on a large model, which comprises a voice recognition module for converting the voice instruction of a user into text information; a large model interaction module for automatically generating numerical control G codes compatible with target numerical control equipment through an algorithm model and / or a rule knowledge base; a simulation instruction recognition module for automatically generating corresponding simulation start instructions and operation instructions according to the numerical control G codes; a simulation environment execution module for automatically simulating, verifying and iteratively optimizing the numerical control G codes; and an optimization module for completing the iterative optimization. Through the integration of interactive voice recognition, deep learning driven large model text processing and precise automated simulation control, the application realizes the high automation of the whole numerical control programming process, improves the efficiency and accuracy of numerical control programming, and reduces the requirement for the professional knowledge of operators. The application also discloses a numerical control program generation and simulation optimization method based on the above system.

The present application belongs to the technical field of additive manufacturing and artificial intelligence, and particularly relates to a thermal-mechanical coupling deformation prediction technology for a fused deposition process, and more particularly relates to a method for directly analyzing bottom layer G code process codes, combining an offline simulation database and a three-dimensional convolutional neural network algorithm, and realizing rapid deformation prediction of additive manufacturing. The present application proposes a processing mechanism for converting unstructured and discrete G code text instructions into a high-dimensional space-time feature tensor recognizable by a neural network. This mechanism completely retains time dimension information such as actual printing speed, printing layer thickness, time stamp and path sequence, and compared with a method of only inputting a geometric model, the prediction result is more in line with the actual physical processing process and has higher accuracy.

The invention discloses a numerical control machining tool checking method and system and a medium, and relates to the technical field of numerical control machining.The numerical control machining tool checking method comprises the following steps that the structural size of a tool checking block is obtained, a tool checking block model consistent with the structural size of the tool checking block is established, and the tool checking block is a conical tool checking block; a part machining main program is obtained, and a machining main program preposed file is converted into a G code of an NC program through postprocessing; current tool parameters are obtained, the current tool parameters are transmitted to a packaged fixed loop program, and the fixed loop program is used for calling a parameterized preset tool checking block subprogram; and executing an NC program including the fixed loop program, suspending processing when the NC program runs to a selective suspending instruction, and performing integrity check on the tool checking block. Dependence on experience of operators is reduced, human intervention risks are reduced, and machining automation and tool checking efficiency are improved.

A real-time monitoring device and method for fused deposition modeling based on artificial intelligence. In the device, a real-time video channel is established between a control panel and a server to intercept frame data of the image information to generate an image. The four printing parameters at the current moment are acquired in real time by the octoprint software and transmitted to the server by the controller. The control panel transmits the G code to the FDM 3D printer to adjust the printing parameters so that the camera collects image data sets under different parameters for training the artificial intelligence model unit. The image data sets are randomly divided into a training set and a test set. The training set data is used to train the artificial intelligence model, and the accuracy of the artificial intelligence model is verified on the test set. The image data to be predicted is used as input to judge the status and class label of the current printing parameters through the trained artificial intelligence model. The Python program unit generates G code based on the status of the current printing parameters, and the generated G code is transmitted to the printer through the control panel.

The application provides a PC+I / O interface numerical control system G instruction and switch value instruction coordination method and device. The PC is used to complete G code / switch value instruction decoding and G code movement track rough interpolation. The switch value instruction is M code including M, S and T instruction codes. The I / O interface card is used to complete fine interpolation and control M code execution. The PC is provided with a decoding preprocessing module, a G code buffer, an M code buffer for switch value instruction buffering, a rough interpolation module, a rough interpolation data buffer, a channel B for rough interpolation data output, a channel A for switch value instruction data input control, an M code coordination module for switch value instruction coordination, and a channel C for M code data output control. The on / off states of the channel A, the channel B and the channel C are controllable. The I / O interface card is provided with an interpolation data buffer, a fine interpolation module, an M data buffer and an M code execution module. The application can realize efficient operation of the numerical control system and optimized machining effect.

The invention discloses a five-axis space mold additive manufacturing intelligent compensation path planning method, and relates to the technical field of additive manufacturing. By establishing a multi-physics field coupling model, generating an initial five-axis printing path, collecting multi-physics field data in real time, dynamically adjusting the printing path and process parameters, executing a compensation path through five-axis linkage control and verifying the compensation effect through a digital twin platform, the precision and efficiency problems in complex mold manufacturing are solved; through combination of heat-force-flow multi-field coupling prediction and dynamic compensation, limitation of a single physical field is broken through; eliminating a step effect and singular points by adopting a normal alignment strategy and five-axis kinematics optimization; high-frequency sensor closed-loop control and a special G code instruction set are applied to realize high response precision; through intelligent path planning and five-axis cooperative control, an efficient and stable solution is provided for high-precision complex mold additive manufacturing.

The invention discloses a large-scale pattern sorting method applied to curved surface laser processing, and relates to the technical field of laser processing. The method comprises the following steps: firstly, importing a to-be-processed curved surface graph igs file into modeling software, extracting a to-be-processed point set by utilizing a macro tool, and storing the to-be-processed point set as a file; then, the file is input into a compiler, a self-organizing mapping neural network SOM algorithm is written for sorting, and the optimal point sorting is output with the shortest total path as the target; then modifying a G code field according to the optimal point order; importing the new G code into processing software to carry out a hand wheel trial cutting test; and finally, importing the error-free G code into software for processing. According to the large-scale pattern sorting method applied to curved surface laser processing, through a unique process and an SOM algorithm, the defect of complex curved surface pattern sorting in the prior art is overcome, the method has the advantages of being not limited by a curved surface topological structure, simple in data interaction and high in solving speed, and the processing efficiency and quality are effectively improved.

The invention relates to the field of laser cutting, in particular to a hanging and recovering method, device and equipment for a plate cutting task and a medium. The hanging and recovering method comprises the steps that a to-be-machined graph is loaded, cutting process parameters are configured, and plate cutting is started; when the current cutting task needs to be suspended, the servo motor stops moving, the cutting head is controlled to be lifted to a stop point, and a GUID is automatically generated; storing the state information of the current task, and integrating the state information into a binary snapshot file; after the current cutting task is suspended, switching to other cutting tasks; when the previously suspended cutting task needs to be restored, matching the snapshot file based on the GUID, extracting and restoring the state information of the cutting task from the matched snapshot file, and restoring the state of the processing interface after verifying the integrity of task data; and the offset of the cutting head is recalculated, the cutting head is driven to move to the machining position when the cutting head is hung, and cutting continues based on the unexecuted G code. The machining precision is improved, and machining errors caused by deviation are avoided.

The invention discloses a G code generation method for rubber extrusion of a vehicle skylight, electronic equipment and a storage medium. The method comprises the following steps: obtaining configuration glue extrusion related parameters through a configuration interface; acquiring starting point information and terminal point information of the glue extrusion line segment; determining a glue extruding path according to the glue extruding line segment; collision detection is carried out according to the glue squeezing path and the clamping jaw position; optimizing the glue squeezing path according to a collision detection result; generating a track G code file according to the optimized glue squeezing path; and generating a parameter G code file according to the glue extrusion related parameters. The glue extrusion related parameters required for generating the G code file can be quickly obtained through the configuration interface, and the G code file can be quickly generated. In addition, collision detection is carried out according to the glue extrusion path and the clamping jaw position, the situation that the extrusion head of the glue body collides with the clamping jaw when the glue extrusion head extrudes the glue according to the glue extrusion path can be avoided, and the glue extrusion reliability is improved.

A kind of broken tool early warning method of numerical control machine tool vertical milling cutter belongs to numerical control processing technical field, to solve the problem of existing broken tool early warning accuracy not high.This application method includes the following steps: the blank model shape contour is compared with the finished part shape contour in the same coordinate system, obtains processing area;Start machine tool, while executing G code program executes cutting judgment program;The cutting judgment program is: judging the position of vertical milling cutter, when vertical milling cutter is 1-3 seconds stroke away from processing area, start broken tool early warning program: collect the vibration signal of numerical control machine tool spindle;With M vibration signal as a group, record the vibration value peak in each group of vibration signal;Whether broken tool working condition occurs is judged by the vibration value peak of adjacent two groups of vibration signals.