21 results about "Geometric simulation" patented technology

The invention provides a gear tooth surface precision detection method based on a deep learning network, a medium and equipment, and mainly solves the problem of insufficient model generalization ability caused by scarcity of real labeled data and domain difference in an existing method. The method comprises the following steps: collecting a plane workpiece image marked with a roughness level as a source domain data set, and pre-training an intelligent detection model; based on a gear shaping machining meshing motion relation, establishing a tooth surface morphology geometric simulation model, and generating virtual gear tooth surface images of different roughness grades; extracting a real gear tooth surface area image as a target domain sample; a domain adaptation method based on clustering optimal transmission is adopted, the feature distribution difference between a source domain and a target domain is calculated and minimized, model parameters are optimized, and self-adaptive migration of a feature space from a plane image to a gear tooth surface is achieved. According to the method, virtual sample generation and a domain adaptation technology are combined, so that the data acquisition cost is effectively reduced, and the detection precision and the model generalization ability under the small sample condition are remarkably improved.

The invention relates to the technical field of satellite remote sensing, in particular to a geometric simulation and registration method for an infrared hyperspectral atmospheric detector, which comprises the following steps of: constructing a visual vector of a pixel in a reference ellipsoid coordinate system by acquiring detection time, ground longitude, ground latitude and satellite position of the pixel FOV of the HIRAS; simulating the imaging range of an HIRAS pixel on the ground based on the size of a pixel field angle by adopting a Rodrigues rotation formula, searching an MERSI pixel in the same platform by using a KD-tree, and respectively calculating the equivalent brightness temperature of the HIRAS pixel and the equivalent brightness temperature of an MERSI simulation image according to a spectrum convolution function and a blackbody radiation formula; and counting the root mean square error of the brightness temperature difference between the HIRAS pixel and the MERSI pixel through multi-row accumulation, and arranging the root mean square error according to an OR row time sequence to obtain the geometric positioning accuracy of the HIRAS in the along-rail and cross-rail directions. According to the invention, the rapid search of the pixel closest to the visual vector range is realized, and the accurate position determination of the registration error is realized.

The application provides a design method and system of a four-hole balanced flowmeter, and belongs to the field of flowmeter design. The method first constructs a general dimensionless parameter description system of the four-hole balanced flowmeter, and obtains a sampling data set through hierarchical sampling; a CFD geometric simulation model is constructed, and the sampling data set is solved to obtain a mapping relationship between key performance indicators and dimensionless parameters, an initial training data set is obtained, calibration sample points are set, physical calibration test data are introduced, and a correction factor is calculated; the correction factor is introduced into the training data set to obtain a corrected training data set; a design surrogate model of the four-hole balanced flowmeter is constructed, and the corrected training data set is used for training; an optimization target is established according to the working condition, the trained design surrogate model is optimized, and the optimal dimensionless parameter combination of the four-hole balanced flowmeter under the current working condition is output. The application realizes the design of the four-hole balanced flowmeter which is general to pipe diameters, reduces the simulation calculation amount, and improves the simulation effect.

The invention provides a material dynamic mechanical behavior simulation method and system based on LS-DYNA, and relates to the technical field of material simulation analysis methods. The method comprises the following steps: compiling a viscous-hyperelastic constitutive mathematical model into a UMAT subprogram, and embedding the UMAT subprogram into a solver of LS-DYNA software; the method comprises the following steps: carrying out finite element mesh generation on a geometric simulation model of a high polymer material sample, and generating a k file according to the characteristics of a high polymer material, keywords of a defined UMAT subprogram and parameter assignment of a viscous-hyperelastic constitutive mathematical model; and calling a solver of the LS-DYNA software according to the keyword of the UMAT subprogram, and calculating a k file to obtain a simulation result. According to the method, the dynamic mechanical response of the high polymer material can be predicted with high precision, the simulation precision of LS-DYNA software is improved, and the method is widely applicable to dynamic response simulation of materials such as rubber, a polyurea coating and a polyether polyurethane solid propellant in an impact environment.

The invention relates to a performance simulation analysis method, device and equipment of a tail gas aftertreatment system and a medium. The method comprises the following steps: carrying out model construction on a tail gas treatment process of a tail gas after-treatment system to obtain an analogue simulation model; determining a target geometric simulation model based on the analogue simulation model and a geometric model corresponding to the tail gas after-treatment system; processing the target geometric simulation model according to a preset fluid domain boundary and a grid division strategy to obtain a fluid domain grid model; performing simulation analysis on the performance of the tail gas after-treatment system according to the simulation parameters and the fluid domain grid model to obtain a simulation analysis result; the simulation analysis result comprises an analysis result about whether the performance of the tail gas aftertreatment system reaches a performance threshold value or not. By adopting the method, direct fluid related data can be obtained, and whether the emission performance of the tail gas after-treatment system reaches the threshold value or not is judged according to the performance simulation result, so that the tail gas after-treatment system with the emission performance not reaching the threshold value can be optimized subsequently.

The gas turbine disc blade fatigue reliability analysis method of the application fuses combination of numbers and objects and active learning, comprising: S1: obtaining a probability distribution model of main characteristic parameters of a gas turbine; S2: establishing a geometric simulation model of a gas turbine disc blade, dividing a key failure area of the gas turbine disc blade, and establishing a gas turbine disc blade life prediction model of a number-object fusion multi-failure mode; S3: determining random variables according to the probability distribution model of the main characteristic parameters, calculating a function function by using the gas turbine disc blade life prediction model of the number-object fusion multi-failure mode and constructing a training sample set, gradually increasing the training sample set in the process of constructing a proxy model based on unsupervised learning and active learning ideas, and establishing a SOM-AL-Kriging proxy model for gas turbine disc blade reliability analysis; and S4: performing fatigue reliability analysis on the gas turbine disc blade. The application improves the efficiency and precision of the gas turbine disc blade fatigue reliability analysis.

The invention relates to a method for the computer-aided determination of a disassembly sequence (L) in the context of a maintenance process for a technical product (1) which is made up of a plurality of individual components (3-17). The method comprises the following steps: a) providing a data set (D) with a three-dimensional product geometry (G) of the technical product (1) which comprises a partial geometry for each of the individual components (3-17), b) selecting a component (10) to be maintained within the product (1), c) automatically determining at least one contact chain (K1, K2,...), wherein the respective contact chain (K1) represents a linear sequence of components (10, 9, 15, 16) in direct contact with one another, d) selecting at least one first subset (M1) of components which are in a common contact chain (K1, K2,...) with the component (10) to be maintained, e) automatically checking components of the first subset (M1) with regard to geometric accessibility and forming a second subset from the successfully checked components, f) automatically checking components of the second subset (M2) with regard to their movability and forming a third subset (M3), g) automatically checking components of the third subset (M3) with regard to their ability to be disassembled and forming a fourth subset (M4), h) simulating the disassembly of a component (16) of the fourth subset (M4) and updating the product geometry (G1) to the state of the product (1) formed thereby, wherein the steps e), f), g) and h) are carried out within a three-dimensional geometric simulation environment, wherein the steps d), e), f), g) and h) are repeatedly carried out on the basis of the respective current product geometry (G, G') within a loop (S) until the component (10) to be maintained is exposed, wherein a disassembly sequence (L) is defined by the sequence of individual disassembly measures in steps h).

This invention discloses a method and system for simulating the pressure of an arc fault inside an oil-immersed transformer tank, belonging to the field of power equipment safety protection technology. The method includes: establishing a geometric simulation model of the oil-immersed transformer tank and dividing the geometric simulation model into a network model; establishing a gas compression model based on the network model, and establishing a gas generation model by combining the relationship between gas production and arc energy, and the gas content in the oil during the operation of the oil-immersed transformer; establishing an energy transfer model based on the gas generation model and the relationship between arc energy and arc discharge time; and obtaining a pressure change cloud map inside the tank based on the energy transfer model and a transient pressure acoustic model. This invention overcomes the technical problem of existing technologies that struggle to improve the efficiency of pressure simulation while ensuring its accuracy.

The invention discloses a roughness online monitoring method and system fused with a surface topography geometric simulation model, and the method comprises the steps: carrying out the online synchronous collection of a tool vibration signal in a machining process of a machine tool and the internal machining parameters of a numerical control system, and obtaining multi-source data; the collected multi-source data is subjected to preprocessing and correlation mapping, a tool cutting edge trajectory equation is established, numerical solution is carried out, and the kinematic contour of the surface of the part and the theoretical roughness value of the surface of the part are obtained. A quantitative prediction model among the machining parameters, the geometric parameters of the cutter and the surface roughness of the part is constructed; a model-data hybrid driven multi-dimensional part surface roughness machine learning prediction model is developed by combining a theoretical roughness value of a kinematic contour, processed tool vibration data and actually measured surface roughness data, and high-precision online estimation of the roughness of a machined surface is achieved. The regression model is established by means of machine learning, online monitoring of the roughness of the machined surface of the part is achieved, and the precision and generalization ability of a machine learning prediction model are improved through a physical model.

This invention relates to the field of transformer technology, providing a method and system for coupled analysis of bubble movement and electric field distortion in transformer oil. The method includes: constructing a two-dimensional geometric simulation model of a needle-plate electrode; describing the synergistic effects of electric force, buoyancy, gravity, drag, drag force, and surface tension on bubble deformation, migration, and coalescence behavior within the two-dimensional geometric simulation model using a set of coupled electric field-flow field-phase field equations; and the evolution law of the electric field intensity inside the bubble being dominated by the voltage phase and increasing near the tip electrode; meshing the computational domain and setting the time step and solver; performing numerical calculations on the coupled electric field-flow field-phase field equations; and extracting field quantity data and generating contour maps after post-processing. This method can realistically reflect the intrinsic mechanism of partial discharge caused by the dynamic behavior of bubbles, providing theoretical support for precise prevention and early warning of transformer insulation faults.

The invention discloses a multi-physical field simulation method and system for air gap TSV thermal stress. The method comprises the steps that an air gap TSV geometric model is constructed, the material attributes of a single air gap TSV are set, the material attributes comprise the elastic modulus, the Poisson's ratio and the density, grid division is conducted on the air gap TSV geometric model, and ABAQUS software is used for conducting physical field simulation on the air gap TSV geometric model. According to the simulation system, the building module completes building of geometric simulation model components, the parameter setting module rapidly adds material attributes needed by experiments, the assembly setting module completes combination of geometric components, the analysis step module adds types used for analyzing the models, and the interaction module can completely restrain the simulation model. And finally, solving through the simulation module to obtain a required result. The device can challenge different temperatures and different load cycle impacts at any time, facilitates the finding of the critical destructive power of a product, is high in practicality, can effectively reduce the thermal stress of an air gap TSV, and achieves the high density and high integration performance of an electronic device.

The application discloses a battery pack structure strength simulation test method, and relates to the technical field of data analysis, and comprises the following steps: obtaining the multi-layer structure parameters of a test battery pack, establishing a multi-scale geometric simulation model of the battery pack, and generating multi-scale structure simulation parameters of the test battery pack; based on the multi-scale structure simulation parameters of the test battery pack, performing cross-scale constitutive correlation analysis on the test battery pack, and evaluating the equivalent material parameter vector of the test battery pack; based on the equivalent material parameter vector of the test battery pack, performing time-frequency domain load verification, establishing a time domain-frequency domain load coupling equation, and generating the composite load distribution of the test battery pack; according to the composite load distribution of the test battery pack, establishing a test battery pack fatigue progressive failure fitting model, and generating the strength damage trend state of the test battery pack. The application has the advantages that the scale fragmentation and load simplification problems in the prior art are solved, and the simulation test precision of the battery pack structure strength is improved.

The invention discloses a bushing insulator surface charge density adaptive inversion method, device and equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: constructing a geometric simulation model comprising a target key part, and carrying out the coupling simulation through the target geometric simulation model, so as to determine a temperature field file; and defining an initial temperature field, updating the conductivity by using the temperature field file and the electric field distribution corresponding to the initial temperature field, determining new electric field distribution based on the updated conductivity, and skipping to the step of updating the conductivity by using the temperature field file and the electric field distribution until a first preset convergence condition is met, obtaining electric field characteristic distribution and conductivity distribution; and determining a potential charge conversion matrix based on the temperature field file, the electric field characteristic distribution and the conductivity distribution, and constructing an inversion equation by using a second preset convergence condition to determine the charge density distribution. And the authenticity and reliability of insulator surface charge inversion in equipment such as a gas insulation sleeve are improved.

This invention relates to the field of machining simulation technology, providing a simulation method for composite tool-workpiece contact detection and material removal during the cutting process. The method includes the following steps: feature point extraction of the cutting edge based on Open3D; construction of a hybrid hierarchical bounding box based on Open3D; construction and detection of a composite tool-workpiece contact judgment model; step four: motion control and swept body generation; and step five: material removal and animation demonstration. This invention simultaneously addresses the contradiction between accuracy and efficiency, and the deviation between simulation and actual scenarios, through feature edge extraction algorithms, collision detection mechanisms, and swept surface construction methods. It achieves a technological leap from geometric simulation to supporting physical simulation, overcoming the inherent limitations of traditional tool simplification techniques, and combining high precision, high efficiency, and high realism.

The invention discloses a self-adaptive variable-pitch regulation and control wind driven generator generated power simulation method, system, equipment, medium and product, and relates to the field of wind driven generator generated power simulation. The method comprises the following steps: dividing a flow field of a wind driven generator into a plurality of independent areas by adopting a sliding grid method, establishing a geometric simulation model of each independent area; on the basis of FLUENT software, grid division is conducted on the geometric simulation model, and divided grids are determined; and based on the divided grids, utilizing macro and functions in the UDF of the FLUENT software to simulate the generated power of the wind driven generator at the current time step at different wind speeds and calculate the adjustment condition of the blade pitch angle at the next time step. According to the method and the device, the generated power and the adjustment condition of the pitch angle of the wind driven generator at different wind speeds can be simulated.

The application discloses a kind of digital twin motion simulation method and system of tobacco in loose leaf moistening cylinder, the method comprises: establishing 1:1 of loose leaf moistening cylinder three-dimensional geometric simulation model, loose leaf moistening cylinder three-dimensional geometric simulation model includes: tobacco inlet, copy board, cylinder and tobacco outlet, cylinder is inclined downward from the tobacco inlet to tobacco outlet, the axis of cylinder and horizontal plane is preset inclination angle;Establish the three-dimensional geometric simulation particle model of tobacco;The motion of the three-dimensional geometric simulation particle model of initial holding amount of tobacco in loose leaf moistening cylinder three-dimensional geometric simulation model is simulated and calculated.The digital twin motion simulation method of tobacco in loose leaf moistening cylinder provided by the application obtains a large number of experimental data sets through computer simulation test, and compares and analyzes the data with actual production, so as to accurately obtain the parameter design rule and basis of loose leaf moistening cylinder, and avoid the waste of debugging before tobacco production.

The invention discloses a three-dimensional sample generation method and device for crimping defects of a high-voltage line, terminal equipment and a storage medium, and relates to the technical field of point cloud.The method comprises the steps that a sample enhancement model is trained in advance through real scanning point cloud data of the high-voltage line and a crimping part; the method comprises the following steps: firstly, constructing a plurality of geometric simulation models of high-voltage lines and crimping parts with crimping defects during construction of defect samples, generating initial three-dimensional point cloud data, and then adopting a sample enhancement model to obtain a plurality of geometric simulation models of the high-voltage lines and the crimping parts with the crimping defects; texture and noise are rendered for the initial three-dimensional point cloud data, so that the defect that a geometric simulation model lacks real world physical sensing characteristics such as real systematic noise, surface texture and environment illumination reflection is overcome, and the defect that in the prior art, generated three-dimensional point cloud data samples of the high-voltage line and the crimping part are low in quality is effectively overcome.

The invention relates to the technical field of cutting machining simulation, and provides a composite tool and workpiece contact detection and material removal simulation method in a cutting process, which comprises the following steps of: extracting cutting edge feature points based on Open3d; constructing a hybrid hierarchical bounding box based on Open3d; construction and detection of a composite tool and workpiece contact judgment model; 4, motion control and swept volume generation; and step 5, removing materials and carrying out animation demonstration. Through a feature edge extraction algorithm, a collision detection mechanism and a swept surface construction method, the contradiction between precision and efficiency is synchronously solved, the problem of deviation between simulation and an actual scene is synchronously solved, technical spanning from geometric simulation to supporting physical simulation is achieved, the inherent limitation of equivalent simplification of a cutter in the traditional technology is solved, and the method is suitable for large-scale popularization and application. The method has high precision, high efficiency and high authenticity.

The invention provides an efficient geometric simulation method for laser processing, which is used for solving the problems that the existing geometric simulation method based on a triangular mesh cannot directly calculate a laser processing result at high precision in a rough mesh, and if a Boolean and / or Boolean difference method is used for directly calculating a processed shape on a workpiece blank, the laser processing result cannot be directly calculated at high precision. The conditions of grid boundary intersection failure, Boolean operation result error and the like are easy to occur; and the Boolean operation of the triangular grid is relatively long in time consumption. According to the efficient geometric simulation method for laser processing, the local laser ablation morphology of the workpiece blank is represented through the Z-map grid, meanwhile, through voxelization of the workpiece blank and the local ablation morphology, the geometric morphology evolution process and result of the workpiece blank in different processing directions can be accurately and efficiently simulated, and the accuracy and the accuracy of the geometric simulation are improved. It is ensured that the removal amount and the deposition amount of the surface of the workpiece blank are calculated with high precision and high efficiency, and meanwhile efficient evolution simulation of the geometrical morphology is achieved.

The present application relates to the technical field of satellite remote sensing, and particularly relates to a kind of infrared hyperspectral atmospheric probe geometry simulation and registration method, by obtaining the detection time of HIRAS one pixel FOV, ground longitude, ground latitude and satellite position, the view vector of the pixel under the reference ellipsoid coordinate system is constructed;Rodriguez rotation formula is used, based on the size of pixel field of view, the imaging range of HIRAS pixel on the ground is simulated, the pixel of MERSI in the same platform is searched using KD-tree, according to the spectral convolution function and blackbody radiation formula, the equivalent brightness temperature of HIRAS pixel and the equivalent brightness temperature of MERSI simulation image are calculated respectively;The root mean square error of brightness temperature difference between HIRAS pixel and MERSI pixel is accumulated and counted by multiple rows, the root mean square error is arranged according to the FOR row timing, and the geometric positioning accuracy of HIRAS in the along-track and across-track directions is obtained.The present application realizes the fast search of the nearest pixel in the range of view vector, and realizes the accurate position determination of registration error.

The invention discloses a molecular dynamics model construction method and system for non-spherical rigid particles, and particularly relates to the technical field of model construction.The molecular dynamics model construction system comprises an input module used for receiving particle gradation parameters input by a user and generating particle gradation; the input module is connected with a set modeling module which is used for carrying out geometric approximate modeling on ellipsoidal particles through a multi-ball combined model. According to the method, high-precision and automatic modeling of non-spherical particles from abstract parameters to specific simulation is realized, abstract statistical distribution parameters are automatically converted into physical and real particle models which can be directly used for simulation, and the defects that in the prior art, manual modeling efficiency is low, and a universal platform lacks native support are overcome. Through a three-ball combination model and a volume correction algorithm thereof, the precision of geometric simulation is remarkably improved while the calculation efficiency is ensured.