34 results about "Virtual machining" patented technology

The invention discloses a numerical control tool machining monitoring method. The method comprises the following steps that firstly, data collection and primary processing are conducted; 2, constructing a digital twinborn model; 3, adjusting a self-adaptive threshold value; 4, performing prediction maintenance and fault early warning; and 5, optimizing machining parameters in real time. Multi-dimensional data such as temperature, vibration, stress and cutting force are collected in real time through a multi-sensor system, high-frequency sampling and signal denoising technologies are combined, comprehensiveness and accuracy of monitoring data are ensured, and a foundation is laid for follow-up analysis; the virtual machining model is constructed through the digital twinning technology, real-time simulation and synchronization of the machining process are achieved, the current state of the tool can be comprehensively reflected, anomaly detection and pre-judgment are conducted in combination with historical data and real-time data, and the fault monitoring accuracy is improved.

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 discloses a laser processing parameter autonomous generation system and method based on digital twinning, and relates to the field of digital twinning, and the method comprises the steps: collecting and preprocessing processing data in real time through a multi-source sensor; processing and analyzing the task instruction by using a natural language, extracting a constraint condition and forming a structured demand; a processing parameter candidate set is generated through a Transform model in combination with historical data transfer learning, and virtual processing is performed by means of multi-physics field simulation; an improved non-dominated sorting genetic algorithm is adopted to dynamically optimize the parameter weight, and a global optimal parameter combination is obtained through digital twin iteration verification; and after full-process virtual processing verification and task demand comparison, parameters are adaptively corrected, and model parameters are continuously optimized according to physical and simulation data deviation after actual processing. The method has the advantages that the digital twin is used as a core, multi-source real-time data, the AI algorithm and multi-physical field simulation are fused, and autonomous generation, multi-target optimization and virtual-real closed-loop iteration of laser processing parameters are achieved.

The invention relates to an implicit voxel Boolean subtraction optimization method in five-axis machining simulation. According to the method, an implicit tool geometric expression model based on a symbolic distance function is constructed, and a dynamic voxel modeling technology with a layered structure is combined, so that efficient interactive modeling of a material removal process between a tool and a workpiece is realized. The whole process of the method comprises four key stages of spatial positioning, vertex interference detection, projection correction and grid reconstruction, and can cope with geometric modeling challenges caused by continuous motion of a multi-degree-of-freedom and multi-attitude cutter. A dynamic block loading mechanism and a local state synchronization strategy are introduced, so that the real-time response capability of Boolean subtraction operation under complex working conditions is effectively improved, and meanwhile, the continuity and integrity of machining geometric boundaries are kept. The method has good expandability and robustness, obviously reduces space-time complexity of calculation on the basis of keeping geometric surface continuity and topological correctness, realizes millisecond-level response time in an experiment, and has a good application prospect. The method is widely applied to virtual machining simulation and intelligent process verification systems of complex free-form surface parts such as aero-engine blades and automobile structural parts.

A method for generating a processing path for a three-dimensional object according to various embodiments of the present application comprises the steps of: identifying a model representing a three-dimensional object; identifying plane characteristics for multiple cross-sections constituting a three-dimensional object; matching multiple virtual tools to perform processing on at least one group that groups multiple cross sections wherein the multiple virtual tools includes a virtual moving means for moving the three-dimensional object in at least one direction of the X axis, the Y axis, and the Z axis directions, a virtual rotation driving means for rotating the three-dimensional object about at least one of the A axis and the C axis, and at least one virtual processing tool; and generating a processing path of the multiple matched virtual processing tools.

The invention relates to the technical field of program control, and discloses a femtosecond laser process parameter self-optimization method and system, and the method comprises the steps: carrying out the image reconstruction of real-time three-dimensional shape data, and obtaining a real-time ablation contour image; performing morphological feature deconstruction on the real-time ablation contour image to obtain a contour feature parameter set; performing deviation quantitative analysis on parameters in the contour feature parameter set and a standard feature threshold range to obtain a deviation feature vector; performing compensation strategy addressing on a preset process parameter adjustment rule base to obtain a preliminary compensation parameter combination; virtual machining track planning is carried out on the machined area, ablation morphology deduction is carried out on the planned track, and a fitting verification result is obtained; when a fitting verification result meets a convergence condition, performing parameter solidification packaging on the initial compensation parameter combination to obtain a final compensation parameter; according to the method, the self-optimization efficiency of the femtosecond laser process parameters can be improved.

The invention relates to the field of intelligent manufacturing, and discloses a metal component power spinning forming self-adaptive regulation and control method which comprises the following steps: establishing a virtual machining environment based on a constitutive model of a metal material of a metal component, a dynamic characteristic model of a machine tool and a springback model; in the virtual machining environment, a corresponding reward value is obtained by simulating the powerful spinning process and the springback process of the metal component; the feeding rate, the machining state and the reward value serve as input, a mapping relation is established through a deep learning algorithm, a trained control model is obtained, and the optimized feeding rate is output; and deploying the trained control model to a spinning machine motion controller to realize real-time control of the spinning machine. By means of the spinning wheel, the metal forming acting force of the spinning wheel can be changed, the stress-strain state of a plastic deformation area is improved, and the workpiece quality is improved.

The invention discloses a digital twinning real-time simulation optimization method for an aviation part five-axis equipment processing track, and relates to the technical field of processing track optimization, and the method comprises the following steps: building a virtual processing model in a virtual space based on digital twinning; acquiring an initial processing track based on the virtual processing model; acquiring a first right side area based on the initial processing track; obtaining a first area threshold value and a second area threshold value based on the first right side area; obtaining a first right mean value based on the first area threshold and the second area threshold; acquiring a left side area based on the initial processing track; obtaining a first overall area, and obtaining a second adjustment straight line based on the first overall area, the left side area and the first right side mean value; an optimized path is obtained based on the second adjusting straight line, and the aviation part is machined based on the optimized path; the method is used for solving the problems that in an existing machining track optimization technology, due to the fact that irregular machining area boundaries are complementary, many repeated machining areas exist, and the total path is long.

The invention is suitable for the technical field of copper bars, and particularly relates to a copper bar manufacturing control method and equipment, and the method comprises the steps: obtaining order information of a to-be-manufactured copper bar; recommended machining parameter information and target copper bar information are generated based on the order information; wherein the recommended machining parameter information is used for indicating machining parameters corresponding to the manufacturing requirements of the to-be-manufactured copper bar, and the target copper bar information comprises the appearance requirements of the to-be-manufactured copper bar and a target model; establishing a virtual processing system according to the recommended processing parameter information and the appearance requirements; actual working parameter information of the copper bar to be manufactured is determined according to the virtual machining system; wherein the actual working parameter information is used for indicating machining parameters actually used for producing the to-be-manufactured copper bar; and controlling a manufacturing device to manufacture the copper bar based on the actual working parameter information. According to the copper bar manufacturing control method, the quality can be improved, the manufacturing time can be shortened, and the production efficiency of the copper bar can be improved.

The invention discloses a digital twinning construction method and device for robot processing equipment, and the method comprises the following steps: building a three-dimensional digital model of the robot processing equipment under a Unity framework, and the three-dimensional digital model comprises virtual processing equipment and a virtual workpiece to be processed; a data layer server is established and used for collecting state information of actual machining equipment and actual to-be-machined workpieces; configuring an IP (Internet Protocol) and a port of the data layer server in the S21 in Unity for receiving state information acquired by the data layer server; the Unity obtains the state information of the actual processing equipment from the data layer server in real time through TCP communication, drives the virtual processing equipment to move synchronously, predicts the state of the workpiece to be processed based on an octree data structure, and achieves the real-time simulation of the processing process. The real-time mapping of the robot body is realized by utilizing digital modeling and a kinematic model; and through the support of a material removal algorithm and a data management platform, the dynamic monitoring of the workpiece machining process is realized.

The invention relates to the technical field of numerical control machining, in particular to a base machining method based on digital twinning, which comprises the following steps: acquiring the structure of a base, and constructing a geometric model of the base; the technological requirements of the base are obtained, and a numerical control machining program is formulated according to the geometric model and the technological requirements; virtual machining software is used for conducting virtual numerical control machining on the base according to the numerical control machining program, a digital twinborn model is obtained, and whether the digital twinborn model meets the requirement or not is judged; and carrying out information interaction on the virtual machining software and a numerical control machine tool, and carrying out numerical control machining on the base by utilizing the numerical control machine tool according to the numerical control machining program. Based on the digital twinning technology, according to the structure and process requirements of the base, virtual machining is conducted through the virtual machining software, the problems in the machining process can be found in time, and therefore the hysteresis quality of finding the problems in the base machining process is avoided, and the machining efficiency is improved.

The invention relates to the technical field of horizontal mirror image milling equipment, in particular to a horizontal mirror image milling track control method and device and a storage medium, and the horizontal mirror image milling track control method comprises the steps that a digital prototype of the horizontal mirror image milling equipment is established for virtual machining simulation; running a virtual machining algorithm based on the digital prototype, performing inverse solution operation on a tool nose point track, converting the tool nose point track into a real axis machining coordinate, and generating an executable numerical control (NC) program; and outputting the numerical control NC program to an actual numerical control system for execution, and feeding back the executed position information to a virtual numerical control system to realize the synchronous movement of the digital prototype. According to the method, program simulation and machine tool machining synchronous movement can be carried out, the post-processing time and the program testing time are greatly shortened, and the effectiveness and correctness of the program are guaranteed.

The application provides a robot process debugging system and method based on three-dimensional visualization, and relates to the technical field of robot processing debugging, and comprises the following steps: a data processing module is used for acquiring saved workstation data and robot data in a robot workstation, and extracting robot trajectory point data and process parameters from the robot data; a three-dimensional display module is used for establishing a virtual workstation model containing a virtual robot model according to the workstation data and the robot data, and establishing a virtual processing trajectory of the virtual robot model according to the trajectory point data and the process parameters; and a debugging module is used for debugging process parameters to obtain process debugging parameters according to externally input debugging instructions, and the three-dimensional display module synchronously displays the adjustment of the virtual processing trajectory according to the process debugging parameters. The beneficial effect is to provide a three-dimensional visual interactive interface, reduce the operation complexity, improve the process debugging efficiency, improve the interactive experience, and make the process debugging more convenient.

A game interaction control method and apparatus, and an electronic device. The method comprises: determining an initial object to be processed (S102); on the basis of the initial object, determining a plurality of processing attributes corresponding to the initial object, wherein the processing attributes are used for indicating attributes of a target object that can be generated by means of processing the initial object (S104); on the basis of the plurality of processing attributes, determining a virtual processing task, wherein the virtual processing task is used for determining a target processing attribute from among the plurality of processing attributes (S106); and in response to the completion of the virtual processing task, on the basis of the target processing attribute and the initial object, performing processing to generate the target object corresponding to the target processing attribute (S108). In the method, a player can participate immersively in an object generation process and affect a generation result, thereby improving the interactivity of the object generation process and meeting personalized object generation requirements.

This application discloses a workpiece machining method, apparatus, equipment, and medium based on a large language model and digital twin, relating to the field of machine tool machining technology. The method includes: acquiring machining task information and encoding it using a machining task processing model to obtain target semantic encoding; retrieving graph nodes from a knowledge graph based on the target semantic encoding and obtaining an initial process scheme set based on the graph nodes; predicting the tool wear trend of the machine tool based on the tool wear curve and updating the process scheme set based on the obtained tool wear trend; performing virtual machining simulation on the updated process scheme set in a digital twin simulation model; and if the virtual machining simulation passes, machining the workpiece to be machined using the updated process scheme set. By predicting the tool wear trend based on the tool wear curve and updating the process scheme based on the tool wear trend, the problem of increased defect rate caused by severe tool wear is avoided.

The invention discloses an immersive virtual processing accurate simulation platform driven by a real numerical control system. The immersive virtual processing accurate simulation platform comprises a virtual simulation software module, a real numerical control system module and a data communication module, the virtual simulation software module is used for supporting a user to build a virtual machine tool and is also used for building a machine tool library, a clamp library, a blank library and a tool or handle library which are adaptive to different manufacturers and different numerical control systems; the virtual simulation software module can also be used for executing corresponding simulation actions according to an operation instruction of a user in the real numerical control system module; the real numerical control system module is used for integrating numerical control systems of different manufacturers on hardware equipment of an industrial personal computer and adapting auxiliary hardware equipment to the numerical control systems; according to the scheme, an immersive digital virtual simulation platform integrating part machining key process link verification, numerical control system operation process learning and NC program accurate verification is provided for a user, and the reliability of a simulation result is greatly improved.

The application discloses a laser processing parameter autonomous generation system and method based on digital twinning, relates to the field of digital twinning, and comprises the following steps: collecting and preprocessing processing data in real time through a multi-source sensor; using natural language processing to analyze task instructions, extract constraint conditions and form structured requirements; generating a processing parameter candidate set through a Transformer model combined with historical data migration learning, and performing virtual processing with the aid of multi-physics field simulation; dynamically optimizing parameter weights by using an improved non-dominated sorting genetic algorithm, and obtaining a globally optimal parameter combination through iterative verification of a digital twin; after comparison between the virtual processing verification and the task requirements, adaptively correcting the parameters, and continuously optimizing the model parameters according to the deviation between the physical and simulation data after actual processing. The application has the advantages that the digital twin is taken as the core, multi-source real-time data, AI algorithms and multi-physics field simulation are fused, and the autonomous generation, multi-objective optimization and virtual-real closed-loop iteration of laser processing parameters are realized.

This invention discloses a data analysis-driven intelligent prediction method and system for machining time, belonging to the field of industrial data processing technology. It includes: loading the 3D model data of the target part; performing multimodal feature recognition based on geometric topology information and surface visual information to obtain machining feature information; performing process decision-making and theoretical time calculation based on the machining feature information to obtain theoretical time and theoretical toolpath data; loading a digital twin of the target equipment and synchronizing equipment status data with the physical machining equipment in real time; inputting the theoretical toolpath data into the digital twin, performing virtual machining simulation to obtain the simulation time, and calculating the deviation between the theoretical time and the simulation time; and dynamically adjusting the time calibration coefficient through a reinforcement learning model based on the equipment status data, machining feature information, and deviation value to obtain the final predicted time. This invention effectively improves the accuracy and reliability of machining time prediction.

The invention provides a method for correcting laser etching data of a three-dimensional curved surface, which comprises the following steps of: correcting design molded surface data of a workpiece shell through actual molded surface data of the workpiece shell, and generating laser etching data on the basis of the corrected design molded surface data, and the virtual machining design molded surface of the workpiece shell is closer to the actual machining molded surface, so that the laser etching precision is improved, and the method has important significance on the development of a three-dimensional curved surface laser etching technology.

The present invention relates to the field of intelligent manufacturing, and discloses an adaptive control method for the power spinning forming of metal components, which includes the following steps: establishing a virtual machining environment based on the constitutive model of the metal material of the metal component, the dynamic characteristic model of the machine tool, and the springback model; in the virtual machining environment, obtaining corresponding reward values by simulating the power spinning process and the springback process of the metal component; taking the feed rate, machining state, and reward value as inputs, establishing a mapping relationship through a deep learning algorithm, obtaining a trained control model, and outputting an optimized feed rate; deploying the trained control model to the motion controller of the spinning machine to achieve real-time control of the spinning machine. Through the present invention, it is possible to change the acting force of the spinning wheel on the metal forming, improve the stress-strain state in the plastic deformation zone, and improve the workpiece quality.

This invention discloses a machine vision-based simulation virtual machining system, belonging to the field of machine vision technology. The system includes a model import and preprocessing module, a machine vision recognition and calibration module, a machining path planning module, and a virtual simulation and optimization module. Its key technical points are: by adopting a comprehensive simulation testing and path optimization technology scheme, closed-loop verification of the machining path is achieved, thus preventing potential risks. A highly realistic virtual machining environment is constructed to perform comprehensive simulation testing on each path, checking for overcutting or collision phenomena. For problematic path segments, the system finds alternative path segments for replacement and performs a secondary comparison with the original path after replacement, thereby selecting the optimal path. This reduces the amount of secondary optimization processing required, improving machining safety and stability while also enhancing work efficiency.

The invention relates to the technical field of industrial part printing, and discloses an industrial part model placing method, which comprises the following steps: constructing an initial topological structure of an industrial part model, and calculating a translation matrix based on the deviation between the initial topological structure and a coordinate origin; a main supporting face is determined, and a rotation matrix is calculated based on the deviation between the main supporting face and the virtual machining platform; generating a combined transformation matrix based on the translation matrix and the rotation matrix, and applying the combined transformation matrix to the initial topological structure to obtain a second topological structure; rotating the second topological structure, and determining a third topological structure based on the volume of the bounding box of the second topological structure; fine-tuning the third topological structure to obtain a fine-tuning topological structure; and adjusting based on the industrial part model type to obtain a target topological structure, and placing the industrial part model according to the target topological structure. Manual participation is not needed, the labor cost is reduced, and the efficiency and the accuracy are improved. The self structural characteristics can be fully adapted, the machining process requirements can be met, and a reliable attitude reference is provided for follow-up efficient and high-precision machining execution.

The invention discloses a production process of a complex cavity injection mold, which provides accurate basic information for subsequent automatic processing by acquiring a 3D digital model of a complex cavity and extracting geometric characteristics and material attribute data, and reduces manual input errors. According to the method, the EDM machining area is automatically recognized based on the predefined machining rule base, the high-hardness material threshold value, the complex geometrical shape feature list and the machining feasibility criterion are used for replacing manual visual judgment, the recognition consistency and efficiency are improved, and omission or excessive design is avoided; the method comprises the following steps: performing dynamic feature classification on an identification area, generating a priority list, optimizing a processing sequence according to feature depth, angle and surface roughness requirements, ensuring key area priority processing, verifying a scheme through virtual EDM processing simulation, outputting optimized data, replacing actual trial cutting with simulation, reducing cost and period, and improving manufacturing success rate.

The invention relates to the technical field of digital control, and discloses a numerical control machining process virtual-real synchronous monitoring method and system based on digital twinning, and the method comprises the steps: carrying out the multi-dimensional semantic fusion of a kinematic structure, tool geometric description and the initial form of a workpiece blank in the machining process, and constructing a three-dimensional visual environment; synchronous driving control is conducted on the three-dimensional visual environment, and a three-dimensional virtual machining environment is obtained; performing collision interference judgment on the spatial relationship between the entities to obtain collision early warning information; performing multi-physical field evolution simulation on the machining deformation trend and the machining surface quality state to obtain a machining quality prediction result; performing virtual reproduction on the historical state to obtain a process backtracking environment; performing three-dimensional rendering on the real-time operation picture, the state of the collision early warning information, the process backtracking environment and the processing quality prediction result to obtain a three-dimensional visual monitoring interface and a quality prediction report; the efficiency of virtual and real synchronous monitoring in the numerical control machining process can be improved.

The invention relates to the technical field of virtual machining simulation, in particular to a double-inclined-hole machining rotation angle obtaining method and system and a storage medium. Comprising the following steps: constructing a virtual machining simulation model for machining double inclined holes; the 3D digital model of the machined part and the 3D digital model of the clamp used for clamping the part are called into the virtual machining simulation model; an included angle a1 and an included angle a2 are obtained in the zero position state of the virtual machining simulation model; determining a rotation angle A1 and an included angle a2 of double inclined hole machining based on the included angle a1 and the included angle a2; and verifying the rotation angle A1 and the rotation angle A2 to judge whether errors exist or not. The double-inclined-hole machining rotation angle obtaining method is very simple, the rotation angle needed in the double-inclined-hole machining process can be accurately and rapidly obtained in a virtual simulation mode, complex calculation of a technician on the rotation angle of a space angle hole (space hole) is reduced, and 100% correctness of all rotation postures of a part is ensured.

The invention discloses a semi-physical intelligent numerical control machining practical training evaluation system, which comprises a physical machine tool subsystem, a machining simulation subsystem, a virtual-real fusion subsystem and a practical training examination evaluation module, and is characterized in that the physical machine tool subsystem is used for realizing intelligent reconstruction and operation data acquisition of a machine tool; the machining simulation subsystem integrates a G code compiler and a three-dimensional tool magazine to realize real-time turning simulation; the virtual-real fusion subsystem is used for realizing millimeter-level alignment of a virtual machining model and a physical machine tool; and the practical training examination and evaluation module carries out multi-dimensional quantitative evaluation on the tool installation normalization, the code writing quality and the machining precision through nine steps of processes. The invention provides a novel semi-physical intelligent numerical control machining practical training evaluation system with high authenticity, immersion, operability and safety by breaking through key technologies such as natural feature mark-point-free real-time tracking registration, a multi-channel collaborative intelligent interaction mechanism and precise presentation of a numerical control turning simulation process under actual state control.

The invention provides a semiconductor crystal self-adaptive grinding method and system based on multi-source data fusion, and belongs to the technical field of semiconductor machining. The system integrates a rotary table, a grinding unit, an outer circle measuring instrument and an airborne orientation instrument. The method comprises the following steps: after rough grinding of the outer circle of a crystal, calculating a thermal drift vector by using a measuring instrument, and obtaining crystal orientation deviation by using an orientation instrument; fusing the data to construct a virtual machining coordinate system, and dynamically compensating a position error through multi-axis linkage; the feeding speed is adjusted in real time in Notch groove grinding based on an anisotropic hardness map of a crystal material. The influence of mechanical gaps and thermal deformation on precision is eliminated through soft positioning, the problem of edge breakage of hard and brittle crystals is effectively solved, and the machining precision and finished products are remarkably improved.

A processing path planning simulation device is provided, which includes a memory and a processor. The processor performs following operations: according to an obstacle model, multiple processing point positions, a mechanical arm model, a processing tool model, a model position relative relationship and a production strategy parameter, performing collision test simulation to generate multiple candidate poses of the mechanical arm model; performing path optimization algorithms on the multiple candidate poses to generate a pose sequence; performing an ant colony algorithm based on the pose sequence and the obstacle model to generate an optimal processing path; and based on the optimal processing path, simulating that an end point of the processing tool model on the mechanical arm model performs a virtual processing operation on the multiple processing point positions sequentially according to the multiple optimal nodes.

The invention belongs to the technical field of mechanical manufacturing equipment, and discloses a deformation control machining method for a full-curved-surface complex aircraft structural component, a virtual machining axis is constructed on a complex wing surface, then positioning bosses are symmetrically arranged on the two sides of the virtual machining axis, and in the process of correcting material deformation, the positioning bosses are symmetrically arranged on the two sides of the virtual machining axis. Boss end face references on different sides are symmetrically corrected, and it is guaranteed that the bosses form a mirror symmetry structure along the virtual machining axis all the time. The method has the advantages that the stress of the material is released step by step in order, and the defect that new stress accumulation is generated after correction by a traditional bench worker is overcome. And meanwhile, the full-curved-surface configuration artificially forms a mirror symmetry structure along the virtual machining axis, and positioning configuration deviation caused by positioning reference conversion does not need to be considered during repeated clamping.

The application relates to a method for processing a hub blank into a hub. The method comprises the following steps: obtaining a three-dimensional model of the hub; constructing a plurality of straight cylindrical surfaces coaxially surrounding a central axis of the three-dimensional model and being radially spaced apart along the three-dimensional model, wherein the straight cylindrical surfaces intersect the three-dimensional model; selecting a part intersecting the straight cylindrical surfaces from the three-dimensional model to obtain an intersection set; constructing a plurality of virtual planes perpendicular to the central axis of the three-dimensional model and being spaced apart from each other; determining a virtual machining path of the hub blank according to the intersection set and the plurality of virtual planes; determining a machining path of the hub blank according to the virtual machining path and position coordinates of the hub blank; and machining the hub blank along the machining path. The method can be applied to machining different hubs, and a corresponding design machining program need not be designed for each customized hub, thereby saving design time and improving the production efficiency of the customized hub.