65 results about "Computer-aided manufacturing" patented technology

The invention relates to the technical field of computer-aided manufacturing, and provides a staged processing real-time cutting simulation method and system.The method comprises the steps that S1, initialization modeling is conducted, specifically, a blank voxel grid model, a tool body voxel grid and a triangular grid are built; s2, performing a first simulation stage of low-precision real-time cutting dominated by voxel grids, judging a space overlapping relationship between the tool body voxel grids and the blank voxel grids in real time so as to determine a voxel region to be removed, and deleting blank voxels in the overlapping region through Boolean operation; s3, in the execution process of the first simulation stage, monitoring a preset multi-dimensional switching trigger condition in real time, and when any condition or a combination of multiple conditions is met, entering a second simulation stage; and S4, a second simulation stage of high-precision real-time cutting with the triangular network as the dominant is carried out, the voxel grid intermediate workpiece is converted into a transition triangular grid, and high-precision cutting calculation is carried out based on the triangular grid. And the efficiency-precision contradiction is broken through through a staged strategy.

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 special-shaped pipe forming compensation method and system based on digital twinning, and belongs to the technical field of computer-aided manufacturing and intelligent control. The method comprises the steps that multi-source sensing data in the special-shaped pipe forming process is obtained, and time-space fusion processing is executed; generating a time-space aligned multi-source sensing data set, carrying out dynamic calibration on the parameterized virtual digital twin, generating a calibrated virtual digital twin, carrying out simulation calculation on the forming process of the special pipe in a future time window, outputting predicted deviation data, and combining with a preset compensation strategy to generate a compensation instruction through logical judgment and calculation; and obtaining an adjustment result after the compensation instruction is applied, and updating the compensation strategy by using a reinforcement learning algorithm. According to the method, prospective simulation prediction is carried out by constructing the dynamically calibrated virtual digital twins, closed-loop optimization is carried out on a compensation strategy by utilizing a reinforcement learning algorithm, and active, high-precision and self-adaptive compensation control on the special pipe forming process can be realized.

The invention belongs to the field of computer-aided manufacturing, and provides an interactive 3D printing control system and method based on multidimensional data, and the method comprises the steps: collecting multidimensional disturbance data in real time in a printing environment; performing multi-dimensional coupling on the disturbance data, the forming platform attitude data, the printing nozzle feeding speed data and the curing energy distribution data, and constructing a joint disturbance prediction model; outputting a printing parameter compensation instruction based on the joint disturbance prediction model; meanwhile, a visual interaction interface allows an operator to carry out manual auxiliary intervention based on real-time displayed airflow disturbance three-dimensional field distribution; and receiving the compensation instruction, driving a corresponding execution mechanism which comprises a nozzle micro driver, a platform piezoelectric regulator and a light source array controller, and collecting new disturbance feedback data after compensation execution.

The invention provides a three-dimensional model feature recognition method based on a heterogeneous graph neural network, and belongs to the technical field of computer-aided manufacturing. Comprising the following steps: selecting a three-dimensional model database with feature tags; respectively and sequentially obtaining a topological set, a geometric information set and a normalized geometric information set of each three-dimensional model, and respectively carrying out geometric feature extraction on each piece of normalized geometric information to obtain a corresponding geometric mapping feature set; constructing an initial heterogeneous graph neural network, dividing data of all three-dimensional models in the three-dimensional model database into a training set, a verification set and a test set by using all geometric mapping feature sets, and training, verifying and testing the initial heterogeneous graph neural network in sequence to obtain a final heterogeneous graph neural network; and performing feature recognition on the three-dimensional model by using the final heterogeneous graph neural network. According to the invention, the feature recognition capability and recognition accuracy of the complex three-dimensional model can be effectively improved.

The invention relates to the field of numerical control machining and computer-aided manufacturing software, and particularly discloses a honeycomb core six-axis ultrasonic cutting track digital control and interpolation optimization system which comprises a track preprocessing module, a parameterized spline interpolation module, a six-axis linkage inverse solution module, a dynamic feed-forward compensation module, an ultrasonic energy adaptive control module and a multi-source information fusion and decision module. By the adoption of the technical scheme, smooth and efficient interpolation of a track, dynamic feed-forward compensation of motion errors and self-adaptive adjustment of cutting energy can be achieved, and therefore the machining precision, the surface quality and the system stability are improved. According to the invention, ultrasonic energy control is originally incorporated into an overall trajectory control closed loop, and real-time accurate regulation and control of cutting energy are realized through the ultrasonic energy adaptive control module. The module is based on force, amplitude, temperature and other multi-sensor information, adopts fuzzy reasoning to intelligently decide output power, and ensures that cutting energy is constant and optimal under different processing conditions.

The invention discloses a process planning model pre-training method and system based on multi-processing scene segmented imitation learning, and relates to the field of computer-aided manufacturing, comprising the steps of: for various processing scenes comprising different geometric features, material characteristics and processing requirements, generating processing paths of various strategies by using a mature process database of CAM software; virtual trial cutting is carried out through a processing process world model to generate a large number of initial states, rich and diversified training samples are provided for reinforcement learning pre-training, and on the basis, large-scale pre-training is carried out by adopting a segmented behavior cloning method to obtain a process autonomous planning base agent which learns processing strategies in different processing scenes; in the face of a new processing task, a processing path can be quickly generated through transfer learning. According to the method, the generalization ability is remarkably improved, meanwhile, geometric-physical-control collaborative planning is achieved, and an intelligent solution is provided for efficient planning of the modern manufacturing industry technology.

The invention relates to the technical field of computer-aided manufacturing, in particular to a three-dimensional model hole feature recognition method, device and equipment based on B-Rep topology and a computer program product. The method comprises the steps that firstly, an inner ring of the outer surface of a three-dimensional model is obtained, concavity-convexity detection of edges is conducted according to geometrical features of in-plane holes, and the inner ring of the outer surface of the three-dimensional model is obtained; further performing ray method detection on the fillet edge so as to identify the in-plane hole according to the concavity and convexity of the edge and the side surface; and acquiring an outer ring of the outer surface of the three-dimensional model, performing path search according to the geometric feature constraint of the boundary hole to obtain a closed wireframe, and checking whether the closed wireframe meets the geometric feature constraint of the boundary hole again to identify a non-rounded edge hole and a rounded edge hole. According to the method, the in-plane holes and the boundary holes of the three-dimensional model are recognized directly based on the B-Rep topology, computing resources and cost are saved, the process adaptability is high, and the method is suitable for high-precision manufacturing scenes.

The invention relates to the technical field of computer-aided manufacturing, in particular to a cartoon production management system and method based on a cloud platform, and the system comprises a production task definition module which is used for decomposing a project into independent production units based on project production requirements, associating a corresponding digital asset type and a preset evaluation dimension set for each unit, and generating a production task; and combining with personnel and schedule information to establish a structured asset making task set. According to the method, the manufacturing project is disassembled, the project is decomposed into the independent manufacturing units, and the specific digital asset type is associated with the evaluation dimension set, so that a clear and structured manufacturing task relationship is established, and subsequent scoring and auditing operations can be accurately carried out aiming at the specific dimension and the asset type; and the pertinence of task execution and feedback is improved.

Systems and methods are provided for scanning a dental impression to obtain a digital model of a patient's dentition as an input to computer aided design (CAD) and computer aided manufacturing (CAM) methods for producing dental prostheses. Systems and methods are provided for scanning a physical impression of a patient's dentition and constructing a virtual surface image of the patient's dentition from the scan data thereby obtained. The virtual surface image of the patient's dentition is constructed using isosurfaces and density gradients of a volumetric image and then directly creating a surface image based upon void spaces that correspond to the patient's dentition.

The application relates to the technical field of circuit board production, in particular to a kind of impedance line width measuring method and computer readable storage medium.The measuring method comprises S1, the impedance information of impedance line to be measured is obtained by pre-manufacturing auxiliary manufacturing automation equipment;S2, the impedance information on pre-manufacturing auxiliary manufacturing automation equipment is obtained by computer aided manufacturing software through automation script, and the automatic line width measuring instrument program is automatically generated according to the impedance information;S3, the actual value of impedance line width on the circuit board is measured according to the automatic line width measuring instrument program;S4, the impedance line width standard value generated by the automatic line width measuring instrument program and the actual value of impedance line width measured by the production equipment are generated into a report, and whether the impedance line width of the impedance circuit board meets the requirements is judged according to the comparison value, the impedance line width measuring method can directly and accurately measure the actual value of impedance line width on the circuit board, which is beneficial to improve the production quality of the circuit board and also beneficial to improve the precision of the circuit board.

Disclosed are example embodiments of methods and systems for automatically coloring a dental prosthesis. One of the systems includes: a memory configured to store a computer-aided manufacturing (CAM) file of the dental prosthesis; a holding apparatus for securing the dental prosthesis; one or more outlets for dispensing coloring fluid; an coloring fluid controller configured to control the one or more outlets to dispense coloring fluid at a preset size and frequency based at least on the CAM file; and a motion controller configured to move the holding apparatus or the one or more outlets based at least on the CAM file.

The invention relates to a computer-aided manufacturing process (10) for producing workpieces (12, 12a, 12b, 14, 16) by means of several workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) defined in manufacturing orders (18, 18a-c) from several workpiece blanks (26) with a manufacturing system (28) comprising the process steps: a) Forming (30) a processing queue (32) by separating the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) contained in the production orders (18, 18a-c) by assigning an order affiliation; b) Creating (36) a cross-order production plan (38) by positioning at least some of the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) provided in the processing stock (32) on one or more workpiece blanks (26); c) Establishing (40) a partial production plan (42a-d) of the production plan (38), wherein the partial production plan (42a-d) provides for the production of the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) positioned on a single workpiece blank (26), wherein the establishment is carried out taking into account a occupancy level of the workpiece blank (26); d) Manufacturing (44) the workpieces (12, 12a, 12b, 14, 16) according to the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) of the part production plan (42a-d). The invention also relates to a manufacturing system (28).

The present application belongs to the field of computer aided design and computer aided manufacturing system, and relates to a CAD model simplification and repair method based on intelligent decision: firstly, a user imports an original CAD entity model through an interactive interface in a CAD system; then, the system detects redundant topological information existing in the CAD entity model, including redundant points, edges and surfaces; then, an optimal cleaning sequence is generated by using a reinforcement learning method for all the detected redundant topological problems; then, two geometric surfaces that need to be merged are merged in the process of removing the redundant topologies in sequence; finally, the merged topologies are updated on the whole model. The method can solve the problems of strong cleaning sequence dependency and large geometric distortion in traditional geometric simplification, and ensure the manifold and topological correctness of the final model after simplification, and is applied to subsequent mesh generation and precision manufacturing.

A computer-supported manufacturing method for manufacturing workpieces from a workpiece blank according to a manufacturing plan using a machine tool (18), has a processing device. The method includes at least partly transmitting the manufacturing plan by means of an order control device. At least one work piece is manufactured from the workpiece blank according to the manufacturing plan. The manufacturing progress of the processing device is determined during the manufacturing of the at least one workpiece by the order control device. The manufacturing plan is changed on the basis of the manufacturing progress during the manufacturing of the at least one workpiece by means of the order control device.

The invention discloses a material removal process replay and cutting force parallel simulation method based on an operation log, and belongs to the technical field of machining and computer-aided manufacturing. The method comprises the following steps: initializing a three-dimensional operation log system and allocating storage space according to the total number of numerical control machining steps and preset entry capacity; recording material removal operation parameters of the grid units according to a preset interval in the material removal process to form an operation record chain; corresponding entries are positioned through log indexes, reverse material removal operation is executed, and a precise target historical state is obtained through topology verification; calculating local cutting force based on the sub-domain data and summarizing to generate a global cutting force curve; according to the method provided by the invention, only key operation parameters are recorded, storage resources are dynamically allocated, and storage overhead is reduced; efficient and accurate state backtracking of any step is achieved through log indexing and reverse operation, the cutting force simulation efficiency is improved in combination with parallel computing, and the problems that a traditional method is heavy in storage burden, slow in backtracking and low in simulation efficiency are solved.

The invention belongs to the technical field of computer-aided manufacturing, and relates to a variable-step-size high-precision approximation method for a complex spline curve. The method comprises the following steps: selecting an approximation curve as a straight line or a circular arc according to a local geometric characteristic of an approximated curve, namely a curve curvature, measuring an approximation error between the approximated curve and the approximation curve by using a bidirectional Hausdorff distance, controlling an approximation precision fluctuation range and an approximation curve segment length based on a variable step size method, and controlling an approximation iteration process by using a termination discrimination strategy, therefore, on the premise that the approaching progress is guaranteed, the length of the minimum approaching curve section and the number of machining codes are increased as much as possible, and then the machining efficiency and the machining quality are guaranteed.

An additive manufacturing method using electrokinetic deposition of metallic particles aided by a heat input to deposit the metallic particles onto a substrate resulting in mechanical bonding of particles to the substrate and to previously deposited particles. Metallic particles are charged and positioned within the vicinity of a similarly charged stationary plate, the resulting coulombic force between the particles and the plate projects the particles away from the plate towards a substrate and upon impact the particles mechanically deform into a homogenous mass, adhering to the substrate and previously deposited particles. Particles are selectively deposited according to their position opposite the substrate and are deposited to synthesize an additively manufactured part according to the desired shape of the part. The shape of the part is determined by a computer aided manufacturing program which programs the operation of the invention to synthesize the part according to a digital 3D file.

The invention provides a personalized ornament generative design method based on cultural label vectors. The method comprises the following steps: constructing design parameter vectors including materials, colors, shapes, quality, processes, combinations and wearing positions; constructing a quantitative mapping relation function of the material, color, shape, quality, process and culture label vectors, and correcting through combination and wearing positions to obtain a final culture label prediction vector; taking the difference between a set five-element discrete classification vector preference target value and a final prediction vector as a label error term, and constructing a differentiable target function in combination with cost constraint, work efficiency penalty and label overflow penalty; and performing optimization solution on the target function to obtain an optimal design parameter vector, and generating a corresponding ornament digital model design scheme based on the optimal design parameter vector. Technical coupling of numeralization mapping of traditional cultural symbols and computer-aided manufacturing is realized, and an algorithm framework which can be industrially realized is provided for large-scale personalized ornament customization.

The present disclosure provides an automatic tool selection method and system for a blade disc flow channel, and relates to the technical field of computer-aided manufacturing. The method comprises the following steps: based on a three-dimensional geometric model corresponding to the blade disc, determining a hub spline curve and a casing spline curve corresponding to the flow channel, and performing parameterization processing on the two to obtain initial parameters; based on the initial parameters, performing iterative calculation on each hub feature point to obtain a depth range corresponding to the flow channel; based on the three-dimensional geometric model, determining a suction surface curve and a pressure surface curve corresponding to the flow channel; traversing each feature point in the suction surface curve, determining the nearest feature point corresponding to each feature point from the pressure surface curve based on an iterative search algorithm, and based on each feature point and the corresponding nearest feature point, determining a width range corresponding to the flow channel; and based on the depth range and the width range, determining a target tool corresponding to the flow channel. Through the above method, the machining precision and efficiency of the flow channel are improved.

The invention discloses a model optimization method and system for polishing processing path planning, and relates to the technical field of computer aided manufacturing system model processing, and the method comprises the steps: obtaining and standardizing topological data of a two-dimensional model; automatically separating the contour from the axis based on the endpoint distance and a tolerance threshold; detecting and cutting repeated edge geometry in the contour; according to the space relation between the contour and the axis, non-machining areas are removed, and a machinable contour is extracted; and reconstructing the machinable contour into a three-dimensional model through a rotation algorithm. According to the method, the whole-course automation of model preprocessing is realized, the data processing efficiency and the objective stability of the result are remarkably improved, and a clean and high-quality geometric model basis is provided for a subsequent CAM system to generate an accurate and reliable polishing processing path.

The present invention relates to a spiral trajectory smoothing and compression method for CNC machining of implants. This method, which belongs to the field of CNC machining, is used to address the problem that the tool trajectories of parts such as implants are mostly circular arcs and spatial spirals, which are then discretized into a series of small line segments after being processed by CAM (Computer Aided Manufacturing) software. Based on the process characteristics of the implant workpiece, the method of the present invention first fits the tool trajectory described by the small line segments in a two-dimensional plane, then performs spatial fitting in the Z direction, and classifies and fits various curves. This geometrically improves the smoothness of the machining trajectory, thereby enhancing the speed stability during the machining process, improving surface machining quality, and shortening machining time.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing instructions for printing of 3D objects. One of the methods includes obtaining i) information regarding one or more geometric features of a 3D model of an object to be printed by an extrusion-based 3D printer and ii) process parameters for use in printing; generating, by the computer-aided manufacturing environment, print instructions for the printing of the 3D object by the extrusion-based 3D printer in a series of multiple layers, wherein modified process parameters are generated as part of the print instructions by modifying the obtained process parameters for a proper subset of layers based on the information regarding the one or more geometric features of the 3D model of the object; and providing, by the computer-aided manufacturing environment, the print instructions comprising the modified process parameters to operate the extrusion-based 3D printer to print the object.

This invention provides an information processing method and information processing device that can automatically determine the processing process, the tools to be used, and the processing conditions in computer-aided manufacturing. [Solution] The information processing method performed by the computer includes the steps of: acquiring overall machining shape data that shows the overall machining shape of the workpiece; dividing the overall machining shape data into a plurality of partial machining shape data, each showing the machining shape of a different part of the workpiece; determining the machining type for each partial machining shape data based on the machining shape of each partial machining shape data; and referring to a first database that stores actual information including actual machining shape data, actual machining process data, actual tool used data, and actual machining condition data, determining a first machining process, a first tool used, and first machining conditions according to the machining type for each part from the plurality of partial machining shape data.

The invention relates to a method for manufacturing components (5) layer by layer on a building platform (3) by local solidification of powdered material (9) in each layer (S) by means of at least one energy beam (8a, 8b), comprising the following steps: providing geometry data containing information about the geometry of individual layers (S) of the component (5) that is to be additively produced; and defining an irradiation pattern for the layers (S) by a computer-assisted manufacturing method, wherein: the irradiation pattern comprises, for each layer, a contour region (K) and an extensive region (F) preferably lying inside the contour region (K); the contour region (K) of each layer (S) consists of multiple irradiation vectors (V) lying next to one another; and the vectors (V) lying next to one another in the contour region (K) are exposed with different energy input parameters, such as line energy, energy output, exposure speed, energy beam diameter, power density and / or distance from the adjacent vector (V) in the contour region (K).

The invention provides an AI digital lens generation method and system based on a 3D eyeball digital model. The method comprises the following steps: acquiring original parameter data of a to-be-detected eyeball by utilizing multi-modal scanning; constructing a 3D eyeball digital model by using the original parameter data, inputting the 3D eyeball digital model into a pre-trained joint network, and extracting eyeball refraction parameters and an eight-order Zernike high-order aberration coefficient; inputting a collaborative design model of a generative adversarial network GAN and a multi-target non-sorting genetic algorithm NSGA-II by taking the eyeball refraction parameter and the high-order aberration coefficient as generative conditions, and determining an optimal lens free-form surface height map; and based on the optimal lens free-form surface height map, digital lens production is controlled through computer-aided manufacturing (CAM), and virtual try-on verification is performed in combination with an augmented reality (AR) technology. The technical problems that traditional refraction correction precision is insufficient and high-order aberration cannot be effectively compensated are fundamentally solved.

An ankle-foot orthosis having a foot plate defining a foot bed contoured to underlie the foot of the wearer, a flexible cuff configured to wrap around at least a portion of the shank of the wearer, and a strut assembly comprising a plurality of metal wires connecting the foot plate to the cuff. The plurality of metal wires may include piano wires. The foot plate may be fabricated with a computer aided manufacturing process.

The invention relates to a computer-aided manufacturing process (10) for manufacturing workpieces (12) on machine tools (14) with a numerical control (16), comprising the following process steps: a) Providing (20) a production order (22) for the production of several workpieces (12), wherein the production order (22) is designed as a numerical control program (18); b) Creating (26) manufacturing geometries (28; 28a, 28b) for the workpieces to be manufactured (12) from the manufacturing order (22) by evaluating the numerical control program (18); c) Creating (34) a geometry plan (36) for the manufacturing order (22) by determining relative positions between the manufacturing geometries (28; 28a, 28b); f) Identifying (50) and outputting manufacturing-related error sources (52) by evaluating the geometry plan (36).

The application discloses a tool holder matching determination method, device, equipment and medium. The method comprises the following steps: acquiring a cutting depth of machining a workpiece and a corresponding first tool holder, wherein the first tool holder is a tool holder simulated in programming in computer-aided manufacturing; acquiring the length of the probe-in part of a second tool holder according to the probe-in part of the first tool holder, wherein the second tool holder is a tool holder actually used in a computer numerical control machine tool, the probe-in part of the first tool holder is a part that can be probed into the workpiece, and the length of the probe-in part of the second tool holder is the length of a part that can be probed into the workpiece; and in the case that the sum of the length of the probe-in part of the second tool holder and the overhang length of the tool clamping part is greater than the cutting depth, it is determined that the second tool holder matches the first tool holder.