49 results about "Geometric design" patented technology

The invention discloses a physical perception-based generative three-dimensional reverse design method and system, which realize efficient exploration and optimization in a three-dimensional design space by constructing a unified physical-geometric potential representation and combining a two-stage optimization strategy. According to the method, shape and physical field data combined training is utilized to obtain potential representation, so that a geometric structure and physical constraints are compactly represented; on the basis, two stages of physical perception optimization are adopted: in the first stage, global exploration is performed in a potential manifold through a gradient-guided diffusion model, and an initial grid is generated; and in the second stage, the initial grid is locally optimized by utilizing target-driven topology maintenance optimization, so that the initial grid gradually approaches the target performance requirement. According to the method, the high-fidelity three-dimensional geometric design can be directly generated, the target performance and the result diversity of the design are remarkably improved, the method can be widely applied to aerospace, energy equipment and complex engineering structure design, and a new technical approach is provided for efficient implementation of the three-dimensional intelligent design.

The invention provides a finite element analysis method and system for geometric design of a flow regulating valve, and relates to the technical field of data processing.The method comprises the steps that 1, spatial geometric feature analysis is conducted on each data point in a discrete contour coordinate dataset, the principal curvature value of each data point on the sealing surface of a metal diaphragm is solved, and the principal curvature value of each data point is calculated; determining a point with the maximum average curvature value on the sealing surface of the metal diaphragm as a core morphology reference point; step 2, establishing a local coordinate system by taking the core morphology reference point as an original point, screening four sealing state points from the discrete contour coordinate data set, solving a corresponding space plane equation, and calculating a space intersection line between the space plane and the sealing surface of the metal diaphragm; according to the method, through accurate positioning of the core reference point, definition of the analysis sub-domain, grid division, mechanical solution, leakage rate calculation and parameter optimization, the dynamic particulate matter problem is effectively improved, and the sealing performance and the micro flow adjusting precision are improved.

The invention discloses a microwave device multi-physics field optimization method taking electromagnetism as a center based on a feature assistance and proxy model. The method comprises the steps of setting initial values of geometric design variables and multi-physics field design variables; the multi-physical field response with electromagnetism as the core responds at the solution point {xg, xm}, multiple pieces of parallel multi-physical field data are generated, and f represents the frequency; according to the multi-physics field data, constructing a feature-assisted multi-physics field agent model based on a neural network transfer function, and calculating a gradient optimization derivative of the feature-assisted multi-physics field agent model; and on the basis of the gradient optimization derivative and the optimization feature auxiliary multi-physics field agent model, obtaining an optimal solution of the variable. According to the method, the robustness and optimization design efficiency of a microwave device multi-physics field optimization algorithm taking electromagnetism as a core are improved.

The invention relates to a spring stiffness characteristic simulation optimization method and system. The spring stiffness characteristic simulation optimization method comprises the steps of obtaining first stiffness characteristic curve data of a spring through multi-physical field simulation, and extracting and obtaining a first physical morphological characteristic of the spring based on the first stiffness characteristic curve data; establishing a prediction model between the spring input parameters and the first physical morphological characteristics; in robust design optimization iteration, according to the geometric design parameters and the uncertainty parameters and on the basis of the prediction model, corresponding second physical morphological characteristics are obtained, and on the basis of the second physical morphological characteristics, second rigidity characteristic curve data of the spring are obtained through reconstruction; and on the basis of statistical analysis of the second stiffness characteristic curve data, a robust performance evaluation result of the design scheme under the influence of uncertainty is obtained, and according to the robust performance evaluation result, the geometric design parameters are iteratively adjusted until the spring design scheme meeting the robust requirement is obtained.

The invention discloses an overhead working truck bed-shaped arm section optimization method and system considering stability and rigidity. The method comprises the steps that geometric design parameters of all polygonal sections of the box-shaped arm are set, and the geometric design parameters of all the polygonal sections jointly form an adjustable geometric design space; establishing a three-dimensional finite element analysis model of the box-shaped arm, and endowing the three-dimensional finite element analysis model with material attributes; according to the actual use requirement of the box-shaped arm, the analysis working condition of the three-dimensional finite element sub-model is defined as the most stringent working condition combination; and setting an optimization target, executing a multi-target optimization algorithm and solving to obtain geometric design parameters of each polygon section after optimization. According to the method, through scientific multi-objective optimization simulation, the coupling and restricting relation between two core performance indexes of local stability and deflection (rigidity) in boom design is systematically solved, so that the section shape with the optimal comprehensive performance under the given working condition is obtained.

The invention discloses a design method and device for an air conditioner heat exchanger of an electric vertical take-off and landing aircraft and a storage medium, and the method comprises the steps: firstly determining multiple types of geometric design parameters and parameter ranges of the heat exchanger, and building a heat exchanger weight calculation model and a heat exchanger heat exchange amount calculation model; sampling parameter ranges of various geometric design parameters to obtain N sample point sets; then, a multi-objective evaluation function of a genetic algorithm is constructed based on the heat exchanger weight calculation model and the heat exchanger heat exchange calculation model, and the genetic algorithm is adopted to carry out multi-time iterative optimization solution based on the multi-objective evaluation function by taking the N sample point sets as populations to obtain multiple groups of heat exchanger geometric design parameter optimization solution sets; and finally, verifying the thermodynamic properties under each group of heat exchanger geometric design parameter optimal solution set, so as to determine the heat exchanger geometric design parameter optimal solution set. The device and the storage medium are used for implementing the method. According to the method, the rapid iteration and design type selection requirements of the thermal management system can be met.

The embodiment of the invention provides a heat exchange equipment optimization design method and system, a medium and equipment, and the method comprises the steps that according to the design working condition of heat exchange equipment, thermodynamic parameters and geometric design parameters are determined; determining a pipe side heat transfer film coefficient and a shell side heat transfer film coefficient according to the geometric design parameters; according to the pipe side heat transfer film coefficient, the shell side heat transfer film coefficient, the heat exchanger pipeline outer side area, the heat exchanger pipeline inner side area and the pipe wall thickness, the total heat exchange coefficient is determined; according to the thermodynamic parameters and the total heat exchange coefficient, the total heat exchange area of the heat exchange equipment is determined; and the total heat exchange area is substituted into the evaluation model, and geometric design parameters corresponding to the total heat exchange area meeting preset conditions serve as target design parameters and are applied to design of the heat exchange equipment. Through the method, a heat exchange equipment design scheme considering both design flexibility and engineering feasibility can be obtained.

The application discloses a multi-objective optimization design method and related device for clamping a metal wedge-shaped anchoring joint of a composite structure, and relates to the technical field of anchoring of marine engineering composite material structures. The method comprises constructing a mechanical-bonding composite three-dimensional finite element model based on the geometric components of the metal wedge-shaped anchoring joint. Numerical simulation is performed on the multiple geometric design variables through experimental design, and key design variables affecting anchoring strength, clamping stress and joint weight are screened through variance analysis. The steepest ascent method is used to determine the optimization direction, and a quantitative mapping relationship between the design variables and the optimization objectives is constructed in the optimization region using the response surface method to establish a high-precision surrogate model. The maximum anchoring strength, the minimum clamping stress and the minimum joint weight are taken as the objectives, the surrogate model is used as an objective function evaluator, a multi-objective genetic algorithm is applied for collaborative optimization, an optimal solution set is obtained, and the optimal geometric structure parameter combination of the metal wedge-shaped anchoring joint is determined according to requirements.

The present application relates to the technical field of nuclear power plant containment structure deformation measurement, and discloses a pressure deformation measurement method for a nuclear power plant containment and related devices. The method comprises obtaining the outer curved surface geometric design parameters and correction parameters of the outer dome at the outer monitoring point, and the inner curved surface geometric design parameters of the inner dome at the inner monitoring point; obtaining the strain measurement value of the outer monitoring point of the outer dome under the action of the environmental load in the state that the inner shell bears the internal pressure; determining the free displacement estimation value of the outer shell at the outer monitoring point; determining the actual displacement value of the outer shell in the environment; determining the relative displacement change between the inner monitoring point and the outer monitoring point; and determining the deformation displacement of the inner shell at the inner monitoring point under the loaded state. The present application does not need to set up components such as metal wires inside the inner shell which are easily affected by temperature, but calculates the deformation displacement of the inner shell by the strain measurement value, the relative displacement measurement value, and the geometric design parameters and correction parameters, so as to weaken the interference of temperature on the measurement result.

The application provides a building structure material quantity prediction method and device based on a knowledge embedding neural network, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining design conditions of a target building structure, the design conditions comprising seismic design conditions, wind resistance design conditions and overall geometric design conditions of the structure; obtaining a structure design scheme of the target building structure, the structure design scheme comprising the spatial positions and geometric sizes of walls, columns, beams, plates and supports; inputting the design conditions and the structure design scheme into a pre-trained material quantity prediction model to obtain the material quantities of various materials in the target building structure. The method embeds prior knowledge into the material quantity prediction model, overcomes the defects of the prior art that the material quantity prediction value violates the basic common sense of engineering and has low prediction accuracy due to the inability to consider the prior knowledge in the field related to building structures, and realizes accurate and efficient prediction of the material quantity of the target building structure.

This invention relates to the field of earthwork trenching technology, specifically to a method and system for excavating slope trenches for prefabricated quick-assembly grid beams. In this invention, by collecting high-density discrete coordinates of the slope and constructing a reference straight-line vector connecting the beginning and end, the geometric correction depth of each surface point relative to the ideal flat bottom surface is calculated. This eliminates nonlinear errors caused by the original slope undulations, ensuring that the bottom surface of the trench accurately adapts to the straight-line configuration of the prefabricated components. The resistance gradient change characteristics during the excavation process are combined with a clustering algorithm to dynamically lock the interface between soft and hard geological layers. The excavation depth required by the geometric design is fused and compared with the measured depth of the geotechnical boundary in the same coordinate system. Based on the comparison results, differentiated cutting or stripping commands are intelligently generated. When encountering hard rock layers higher than the designed bottom surface, a fuzzy PID algorithm is activated to enhance hydraulic driving force and ensure cutting efficiency. In soft soil operating areas, standard pressure is maintained to reduce energy consumption.

The disclosure provides computing apparatus, computer-implemented methods and software for autonomously generating a geometric design for a mechanical part optimised to perform an intended function by interacting with a fluid and / or particulate matter in an operating environment. The method includes iteratively generating a plurality of CAD models for the mechanical part using a CAD kernel program based on a search distribution across a parameter space of free parameters defining geometric features of the designs, generating a simulation of the performance of the modelled mechanical part for each of the plurality of generated CAD models, analysing the simulation of each CAD model for the mechanical part over time, selecting a subset of the generated CAD models having a better performance, and proceeding to the next epoch to generate, simulate and analyse evolved CAD models having candidate geometries with features based on combinations of free parameters synthesised across an updated search distribution.

The invention discloses a neural network electromagnetic performance prediction method with causality and passivity constraints, and the method comprises the steps: obtaining geometric design variables of a TSV structure to be detected, inputting the geometric design variables into a trained electromagnetic performance prediction model, and obtaining the prediction values of a plurality of scattering coefficients of the TSV structure to be detected; wherein the electromagnetic performance prediction model comprises a polar point sub-network, a residue sub-network and a prediction sub-network, and the polar point sub-network and the residue sub-network are respectively used for determining a to-be-detected polar point vector and a to-be-detected residue vector corresponding to each scattering coefficient according to geometric design variables of a to-be-detected TSV structure; the prediction sub-network is used for determining a prediction value of a scattering coefficient of a corresponding type according to a to-be-measured pole vector and a to-be-measured residue vector; the electromagnetic performance prediction model is trained through a sample pole vector and a sample residue vector, and the sample pole vector and the sample residue vector are obtained by processing a sample scattering coefficient based on a vector fitting technology. The method is low in implementation cost and good in adaptability.

The application relates to a spring stiffness characteristic simulation optimization method and system. The spring stiffness characteristic simulation optimization method comprises the following steps: obtaining first stiffness characteristic curve data of a spring through multi-physical field simulation, and extracting first physical form features of the spring based on the first stiffness characteristic curve data; a prediction model between spring input parameters and the first physical form features is established; in the robust design optimization iteration, corresponding second physical form features are obtained according to the geometric design parameters and the uncertainty parameters and based on the prediction model, and second stiffness characteristic curve data of the spring is reconstructed based on the second physical form features; the robust performance evaluation result of the design scheme under the influence of uncertainty is obtained through statistical analysis based on the second stiffness characteristic curve data, and the geometric design parameters are iteratively adjusted according to the robust performance evaluation result until a spring design scheme meeting the robustness requirement is obtained.

This invention belongs to the field of road traffic noise control and acoustic computation technology, and relates to a physical information neural network-driven method for sound barrier shape optimization based on the isogeometric singular boundary method. The method includes: NURBS parameterization and boundary discretization based on the sound barrier's geometric design requirements; constructing an acoustic analysis model based on acoustic control equations and boundary conditions; calculating the average sound pressure level within the observation area using the isogeometric singular boundary method and using it as the objective function; constructing a physical information neural network, constraining the control point update range through a coordinate mapping layer and bounded activation functions, and iteratively optimizing using the average sound pressure level of the observation area as the loss function; and outputting the optimized sound barrier geometry after network convergence and evaluating the noise reduction effect. This invention combines the isogeometric singular boundary method with a physical information neural network, eliminating the need for mesh reconstruction and sensitivity analysis, achieving efficient adaptive optimization of the sound barrier geometry, and effectively improving the noise reduction performance of the sound barrier.

The application discloses a complex part contour optimization design method based on multi-field node feature weighted aggregation. First, according to the complex part contour geometry design variables, temperature and contact surface friction coefficient to be optimized, a batch of finite element simulations are carried out to obtain a training data set. Then, a deep map sampling aggregation neural network fusing space and temperature attention is constructed, and then the deep map sampling aggregation neural network fusing space and temperature attention is trained by using the training data set. After the training is completed, a stress prediction model is obtained. Finally, combined with the stress prediction model, an iterative optimization is carried out to minimize the maximum equivalent stress of the complex part as an optimization objective, and the optimal geometric parameters of the current complex part contour in the target temperature interval are obtained. The application realizes the rapid reconstruction of the stress distribution state of the complex part, improves the optimization speed while fully guaranteeing the accuracy of the optimization result, and greatly saves the calculation resources.

The invention relates to a storage system (10) for a motor vehicle (200), comprising a plurality of system receptacles (12) and a plurality of system inserts (14); wherein the system inserts (14) have a unified external geometric design; wherein each system receptacle (12) has a receiving space (16) corresponding to the external geometry of the system insert (14), such that each system insert (14) can be positioned in either system receptacle (12). According to the invention, at least two system inserts of the plurality of system inserts (14) have different insert spatial divisions (ER) within a unified outer geometric design. The invention further relates to a motor vehicle (200) having such a storage system (10).

The application discloses a kind of robust optimization design method of double pressure angle asymmetric gear modification parameters considering uncertain working condition, steps include: defining the torque value range of gear service condition uncertainty and geometric design requirement;Gear pair meshing performance simulation model is constructed and simulation test design is carried out;Establish the multi-objective optimization model of modification parameter with the target of comprehensive service performance index and comprehensive robustness index;Pareto solution set is obtained by using intelligent optimization algorithm;Select the best scheme and export gear three-dimensional model.The application will load spectrum fluctuation into asymmetric gear modification optimization, through the combination of proxy model and multi-objective optimization, realize the gear modification parameter design with strong robustness to uncertain working condition, significantly improve the transmission stability and reliability of gear under variable load condition, while greatly reduce the calculation cost and time in optimization design process.

1. Name of this design product: Apple Cut (Simple Geometric). 2. Purpose of this design: For cutting apples. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The present disclosure provides a dynamic toolpath optimization system for an additive manufacturing machine. The system comprises an input reception unit to receive user-provided information comprising three-dimensional (3D) geometric design data of an object and material composition details; a design analysis component utilizing a first artificial intelligence technique to determine an effective toolpath for each layer; a monitoring unit that monitors quality control metrics and current manufacturing conditions and a machine learning analysis unit that accesses a historical database to generate one or more artificial intelligence (AI) models. The system further comprises a toolpath optimization unit utilizes the generated AI models to process monitored quality control metrics and current manufacturing conditions to identify flaws and determine a toolpath optimization strategy and a control unit dynamically regulates the additive manufacturing machine based on the determined toolpath optimization strategy.

Method (100) for optimizing the placement of weld spots during resistance spot welding comprises several steps that enable precise analysis and adjustment of the welding parameters. First, welding process data is acquired (102). This data is used to monitor and optimize the welding process. In step (104), geometric design data is extracted from a CAD model, including the weld spot location, material thickness combinations (MCT), and geometric features such as edge distances. This data is necessary to analyze the weld spot placement. In step (106), a two-dimensional analysis is performed, calculating distances between weld spots and component features. In step (108), a three-dimensional analysis is carried out, taking into account the spot location in relation to the geometric properties of the surroundings.Step (110) links the geometric design data with the welding process data, including the quality score, enabling a detailed analysis. In step (112), correlations between the geometric location of the weld spots and the weld quality are determined. In step (114), alternative spot locations and / or material thickness combinations are identified to improve the weld quality. Finally, in step (116), optimization recommendations for the design are generated to increase the weld quality by adjusting the spot location or material thickness combination.

The application discloses a self-adaptive air inlet channel bulge deformation mechanism and a geometric design method, relates to the technical field of aircraft structure design, and comprises a plurality of shape deformation units arranged in the span direction in sequence. The shape deformation unit comprises end units located at both ends and a plurality of intermediate units located at intermediate positions. The plurality of intermediate units are connected through interlocking mechanisms to form an intermediate shape deformation unit group. Both ends of the intermediate shape deformation unit group are connected with the end units through the interlocking mechanisms. A flexible skin is sleeved on the outside of the intermediate shape deformation unit group and the two end units in a slidable manner. An air bag is arranged between the bottom end of the intermediate shape deformation unit group and the two end units and the flexible skin. The air bag is filled with a working medium. The application directly converts a flight thermal environment into a structure driving action, and realizes self-adaptive switching of the plurality of shape deformation units between a planar mode and a bulge mode.

The invention discloses a multi-patch structure adaptive isogeometric topology optimization method and system based on a truncation level B spline, and relates to the technical field of CAD / CAE integrated design. According to the method, multi-patch model data is analyzed, and a truncation level B spline space and a multi-patch level isogeometric analysis grid are initialized; constructing a self-adaptive multi-patch isogeometric analysis grid based on a residual posterior error estimator to solve a structural displacement field; meanwhile, a uniform and fine multi-patch isogeometric design grid is constructed, a multi-patch tensor integral solution implicit filter and control point index transformation are utilized to achieve efficient obtaining of sensitivity of an objective function and a volume constraint function on multi-patch control point variables, and an OC optimization criterion is adopted to iteratively update control point optimization variables; in the iteration process, a density change indicator and a posterior error indicator are combined for self-adaptive subdivision and reinitialization, and efficient and high-precision optimization solution under the decoupling condition of the analysis grid and the design grid is achieved.

The invention discloses an asymmetric double-screw rotor molded line, and relates to the technical field of computer-aided geometric design and double-screw rotor molded line design. Each basic unit comprises a half section of driving screw root circular arc, a section of Bezier curve, a section of epicycloid and a half section of driving screw addendum circular arc which are sequentially connected end to end in the clockwise direction, and after the basic units are subjected to symmetry and central symmetry, a driving screw rotor molded line is formed; the driven screw rotor profile is in a rotational symmetry graph, each basic unit comprises a half-section driven screw root circular arc, a section of line segment, a section of long-amplitude epicycloid, a section of optimized circular arc and a half-section driven screw addendum circular arc which are sequentially connected end to end in the clockwise direction, and the driven screw rotor profile is formed after the basic units are symmetrical and rotated. The invention provides a novel asymmetric double-screw rotor molded line which supports adjustment of tooth gaps and adjustment of sharp corner optimization.

1. Name of the product in this design: Bird feeder (geometric design). 2. Purpose of this design: A bird feeder for feeding birds. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to the technical field of power transmission tower construction simulation, and discloses a three-dimensional simulation method based on power transmission angle steel tower segment assembly construction. According to the method, geometric design data and material attribute data of angle steel tower segmented components are obtained through a parameterized modeling platform, and a three-dimensional digital model containing connection node information is constructed. And importing the model into a construction planning system, carrying out segmented assembly sequence planning according to construction process specifications, and generating a construction simulation scene comprising hoisting equipment parameters, hoisting path space constraints and temporary support layout. Inputting the construction simulation scene into a physical simulation engine to execute dynamic three-dimensional simulation, and calculating the motion trail, the mechanical response and the collision interference condition of the segmented component in the hoisting process. And the hoisting sequence and path parameters are adjusted and optimized through the construction feasibility analysis module. And inputting the optimized construction scheme parameters into a three-dimensional rendering system to generate a final three-dimensional construction simulation animation and detailed construction guidance data.

This invention discloses a method, system, and storage medium for optimizing clover-shaped nuclear fuel elements, comprising: acquiring parameterized geometric design variables of the fuel element and generating a corresponding three-dimensional geometric model; establishing a thermofluid-solid multiphysics coupling model on the three-dimensional geometric model, wherein the multiphysics coupling model includes at least turbulent flow, conjugate heat transfer, and structural response caused by thermal expansion; and completing solver settings, mesh generation, and simulation calculations to obtain temperature and pressure fields; extracting convective heat transfer characterization indices, coolant pressure drop, power density indices, and temperature gradients based on simulation results, and constructing a multi-objective optimization problem in conjunction with structural safety constraints; using a multi-objective evolutionary optimization algorithm to drive the multiphysics coupling model to perform joint simulation iterations, obtaining the Pareto optimal solution set, and determining and outputting the optimal parameter combination from it.

The application provides a flow regulating valve geometry finite element analysis method and system, and relates to the technical field of data processing.The method comprises the following steps: step 1, spatial geometry feature analysis is performed on each data point in a discrete profile coordinate data set, the principal curvature value of each data point on the metal diaphragm sealing surface is solved, the point with the maximum average curvature value on the metal diaphragm sealing surface is determined as a core topography reference point; step 2, a local coordinate system is established with the core topography reference point as the origin, four sealing state points are screened from the discrete profile coordinate data set, the corresponding spatial plane equation is solved, and the spatial intersection line between the spatial plane and the metal diaphragm sealing surface is calculated. Through accurate positioning of the core reference point, definition of the analysis subdomain, mesh division, mechanical solving, leakage rate calculation and parameter optimization, the application effectively improves the dynamic particulate matter problem, improves the sealing performance and micro flow regulating precision.

This invention discloses a micro-geometry design method for cam rollers that integrates the full-cycle alternating characteristics of an internal curve hydraulic motor. First, a thermo-elasto-hydrodynamic lubrication model is established, incorporating micro-surface morphology and considering the full-cycle alternating characteristics of the cam roller-cam ring contact pair. These alternating characteristics include alternating entrainment velocity, alternating external load, and alternating equivalent radius of curvature. Second, based on a three-segment micro-geometry design equation, sensitivity and independence analyses are used to determine the roller convexity, micro-geometry design length, and fillet length as the core design variables. Furthermore, a comprehensive optimization objective function is constructed that simultaneously considers robustness under multiple operating conditions and machining accuracy constraints. Finally, a multi-strategy adaptive optimization algorithm is used to iteratively optimize the above variables, obtaining a cam roller micro-geometry profile that significantly homogenizes contact pressure, improves oil film thickness distribution uniformity, and enhances load-bearing capacity. The cam rollers designed using this method can effectively improve lubrication under high pressure and extend the service life of the hydraulic motor.

The application discloses an electronic device edge steady-state support base and a geometric design method thereof, the base comprising a rigid body and a fixed part arranged on the side of the rigid body facing the electronic device; the cross section of the rigid body perpendicular to the mounting extension direction has a steady-state support structure with trapezoidal steady-state characteristics, so that the electronic device can be stably supported at a preset inclination angle, and the orthographic projection of the gravity center of the device on the placement plane is always located in a support interval formed by the bottom edge of the device and the support edge of the base; the height of the rigid body satisfies a steady-state support inequality based on the balance of the gravity moment; the rigid body can be provided with a functional accommodation part and an external load interface meeting the stress partition management requirement, so as to realize functional integration and expansion; the application solves the problems of single function of the existing mobile device accessories, easy tilting without precise steady-state design and poor load bearing reliability, and is suitable for multiple sizes of electronic devices, and significantly improves the portability and multi-scene adaptability of the product.