445 results about "Topology optimization" patented technology

A method and configuration manager generates a routing topology for a wireless mesh network. The wireless mesh network has a plurality of internal nodes, at least one edge node, and at least one originating device. A plurality of potential routing solutions is determined which contain a plurality of paths through the wireless mesh network from the at least one originating device to the at least one edge node such that data communicated from the at least one originating device reaches the at least one edge node in no more than a predetermined number of hops. Each potential routing solution is based on at least one measured wireless communication parameter between internal nodes. Metric calculations for each potential routing solution are computed to determine a preferred routing solution. The wireless mesh network is configured to route traffic using the preferred routing solution.

The invention discloses a method for optimally designing a machine tool body structure, which comprises the following steps of: carrying out multiobjective optimization on wall thickness of a machine tool body and physical dimension of a rib plate; and carrying out comprehensive optimization analysis on the structure of the machine tool body, wherein the step of carrying out the multiobjective optimization on the wall thickness of the machine tool body and the physical dimension of the rib plate comprises the procedures of: establishing a machine tool body parameterized model; determining a boundary condition; determining a design variable, a restrict condition and a target function, establishing an optimization design model; and correcting the wall thickness of the machine tool body and the dimension of the rib plate; and the step of carrying out the comprehensive optimization analysis on the structure of the machine tool body comprises the procedures of: establishing a geometrical model of the machine tool body; determining a boundary condition; determining a topological optimization target, establishing a topological optimization model; and correcting the structure of the machine tool body. According to the invention, the traditional optimization design method of the machine tool body is changed, movable and static rigidity characteristics are improved, and the manufacture cost is lowered. The invention can be widely applied to the optimization designs of various machine tool support member structures.

In accordance with the objects of the present invention, a method of complex product design is provided. The method defines a product design space a base design analysis model is then automatically generated within the product design space. A topology optimization of the base design analysis model is performed including solving the topology optimization for multiple mass fractions to identify critical structure areas. The results of the topology optimizations are utilized to identify a plurality of load paths. An optimization of said plurality of load paths is performed to find the optimized load paths. Critical structure areas along the plurality of optimized load paths are then parameterized. An optimization is performed utilizing a multi-disciplinary optimization to optimize geometry, material and thickness along the optimized load paths. A manufacturing analysis of the shape optimized structure is performed and the shape optimized structure is modified to comply with manufacture requirements. An optimization is then performed using multi-disciplinary optimization comprising a gauge and grade optimization.

A topology optimization method. Characteristics of a structure to be designed are differentiated to calculate equivalent static loads. A relative fraction of material is adopted as a design variable. It is determined whether or not an element exists based on an objective function and constraints. Design topology is derived through a linear static analysis that processes the equivalent static loads as multiple loading conditions. Topology of the structure to be designed is compared with the design topology, and thereby the progress of optimization is determined. The topology optimization processes are terminated when a difference of the compared result is less than a setup value, and are returned to an initial step when the difference is greater than the setup value, and the equivalent static loads are calculated using the design topology as a new structure to be designed.

A method of designing an interbody fusion cage is disclosed. The method uses topology optimization algorithms to define the structural layout and the inner microstructures of the cage. After the structural layout is defined, a density distribution process is performed. Based on the density distribution, the inner microstructures of the cage are defined.

A lightweight forward design method and system of automobile structure based on multi-performance constraints is disclosed. The finite element analysis model of automobile body structure is established by using finite element modeling technology. The typical force transfer path of automobile structure is identified by using topology optimization technology and the bending / torsional rigidity performance of automobile body is taken as constrained working condition, and lightweight design in conceptual stage is carried out. Then the strain energy analysis and the material thickness sensitivity analysis are carried out by using the sensitivity analysis technology, and the weak links and the critical design area of the vehicle body are found. Topography optimization is used to improve vehicle performance; Finally, based on business integration optimization software, The multi-performance target of automobile body is analyzed by integrated simulation, and the correlation between design parameters and performance, performance and performance is studied by using DOE sampling and data mining technology, and then the lightweight design of automobile body structure considering multi-disciplinary performance is carried out, which reduces the quality of automobile body structure, improves product performance, shortens R D and manufacturing cycle, and saves cost.

The invention relates to a method for designing automobile body structure layout. The method comprises the following steps of: 1) initially setting the parameters of a new type automobile, 2) choosing the white automobile body finite element models having similar structures and sizes, or directly building a white automobile body finite element model, 3) generating a grid enveloped model according to the white automobile body finite element model, 4) generating a body grid model according to the grid enveloped model, 5) topologically optimizing and analyzing according to a target parameter based on the body grid model, 6) according to an analyzed result and drawing an automobile body material layout diagram, 7) designing conception according to the layout diagram, and 8) designing the layout structure in detail according to the data of the conception design, performing simulating analysis of strength, NVH and impact performance CAE and formability process analysis according to the data of the detailed design of the layout structure, and modifying so as to acquire a three-dimensional digitized product model fit for volume production. The automobile body structure layout has the advantages of shortened developing period and lowered researching and developing cost.

A method of designing an interbody fusion cage is disclosed. The method uses topology optimization algorithms to define the structural layout and the inner microstructures of the cage. After the structural layout is defined, a density distribution process is performed. Based on the density distribution, the inner microstructures of the cage are defined.

The invention discloses a multi-objective optimization design method for a wheel, relates to the technical field of vehicle engineering and aims at solving the problems that the optimization space is limited and automatic optimization design is not carried out through joint transferring of calculation software with various properties due to the fact that only limited performance of the vehicle is analyzed and optimized and parametric modeling is lost at present. The method comprises the steps of topological optimization of a wheel fatigue test, combined topological optimization modeling, fatigue performance analysis, impact performance analysis, aerodynamic performance analysis and multi-objective optimization. Five working conditions of a dynamic bending fatigue test of the wheel, a dynamic radial fatigue test, an impact test of an impact hammer opposite to a spoke, an impact test of the impact hammer opposite to a window and air dynamics analysis of the wheel are set; the properties, such as the strength, the rigidity, the vibration characteristic, the fatigue life, the fatigue life security coefficient, the impact performance, the air dynamic property and the lightweight performance of the wheel are comprehensively considered; various performance parameters are calculated through finite element software emulation; and optimization design is carried out on the wheel by setting the performance parameters to be constraint conditions or objective functions.

The invention belongs to the field of related technologies of structure optimizing design and discloses a topological optimization design method of a self-supporting network structure suitable for additive manufacturing. The method comprises following steps: (1), density distribution of different levels of solid materials in a range of [0,1] is acquired by an SIMP (solid isotropic material with penalization) design-rigidity interpolation model, and a macroscopic material layout form and a macroscopic displacement field are obtained simultaneously; (2), an optimization model based on a level set parameterization method is constructed, and on the basis of macroscopic material layout optimization, topological optimization of microstructural configuration is performed on different intermediate density units and an optimal mesoscopic microstructural configuration is output. According to the method, a supporting structure is combined with the designed structure, the macroscopic material layout optimization and microscomic microstructure topological optimization are integrated, so that addition of the supporting structure to additive manufacturing molding is avoided, consumable items are saved, the cost is reduced, the flexibility is higher, and the structure surface quality is protected.

The invention provides an optimum design method of a non-bearing frame structure of a light vehicle. The optimum design method comprises the steps of establishing a three-dimensional geometrical model of the original frame structure of the light vehicle by use of SolidWorks software and outputting the model in the IGES (Initial Graphics Exchange Specification) data file format, thereby obtaining the IGES model of the frame structure, next, reading the IGES model of the frame structure in Hypermesh software, performing geometrical processing and dividing finite element meshes by use of the Hypermesh software, and performing topological optimization on the cross beam structure of the frame by use of the structure optimization function of the Hypermesh software without changing the structural forms of the longitudinal beam and the attached seats of the frame, thereby realizing the optimum design of the arrangement position and the structural form of the cross beam structure. The optimum design method of the non-bearing frame structure of the light vehicle is capable of improving the bending rigidity and torsional rigidity of the frame of the light vehicle and the inherent frequency of the frame structure without increasing the weight of the frame structure, thereby ensuring that the frame has relatively high overall rigidity and improving the reliability, security, operation stability and vibration property of the vehicle.

The invention discloses a design method of structural topology optimization based on multi-performance constraints. The method comprises the following steps: (1) creating a finite element model of a ground structure; (2) inputting multi-performance topology optimization parameters to form an optimization model; (3) initializing variables and extracting information on the ground structure; (4) analyzing mechanical properties of the structure and extracting an analysis result; (5) displaying the optimization model; (6) solving the optimization model; (7) inverting an optimal continuous structureto obtain an optimal topology structure. With the design method, a stable and convergent topological optimization structure can be quickly obtained. The design period of the structure is shortened. Working efficiency is increased. Energy is saved while material consumption is reduced.

The invention discloses a 3D printing method and system for complicated parts based on curved surface layering. According to structures and the characteristics of curved surfaces of the complicated parts , a three-dimensional model is built, and lightweight structural topology optimization design and spatial 3D slicing and layering are carried out, so that control data for 3D printing can be generated; layer-by-layer 3D printing is carried out after printing parameters are set according to the control data so as to obtain 3D printing parts of the complicated parts, wherein the spatial 3D slicing and layering mean that the curved surface layering is carried out by choosing a curved surface layering method according to the structure characteristics of the three-dimensional mode of the complicated parts, the layered spatial 3D layering data is processed and a filling strategy is selected for printing of paths and planning of tracks. Compared with an existing CNC processing technology, the method and the system disclosed by the invention have the advantages that realization of continuous fiber reinforced manufacturing is facilitated, surface forming precision of the complicated parts is effectively improved, and the printing support is reduced.

The invention discloses a power-system economic dispatching method considering power grid topology optimization. A power-system dispatching model using active power of conventional generator sets and output component states of the power grid as decision making factors is provided by incorporating the power grid topology optimization into a power-system economic dispatching model and considering the power grid topology connectivity conditions. Topological connectivity is constrained based on the minimum cutset concept in graph theory so as to judge system topological connectivity. The provided model is solved by combination of genetic algorithm and linear programming primal-dual path following interior algorithm. Conventional generator sets and power grid topology can be preset, economical efficiency of power grid operation is improved on the premise of guaranteeing safety of power grid operation, balance capacity of load power of system generation is improved, renewable energy power generation can be accepted within a larger range, abandonment of renewable energy power generation or load shedding is effectively alleviated, and technical support is provided for intelligent development for power system dispatching.

The invention discloses a grid-free Galerkin method structural topology optimization method based on GPU parallel acceleration. The grid-free Galerkin method structural topology optimization method mainly comprises the steps of 1 reading data into a host machine memory, arranging integral points through a CPU, establishing the relation of nodes, the integral points and local lattice searching, computing node influence domain radiuses and the integral point definition domain radiuses, confirming the relation of the nodes and the integral points and then copying the data into a GPU global memory; 2 setting different GPU thread blocks and the thread number according to different calculating data; 3 performing asynchronous assembly through the CPU and a GPU and solving a grid-free Galerkin method global discrete system equation to obtain a displacement approximate solution; 4 performing structural topology optimization calculation in the GPU and judging whether iteration is finished or not and a result is output or not according to residual errors of design variables. The grid-free Galerkin method structural topology optimization method is low in hardware cost and good in universality and can reduce a large amount of time consumption on the premise that the engineering accuracy requirement is met.

The invention discloses a device and a method thereof for realizing a matching network of a DVB-H antenna of a cell phone, which are used in a DVB-H antenna system of a DVB-H handheld device. The invention is characterized in that: the method comprises the following steps: step 1. an interface of the antenna system is connected with an input end of a radio frequency switch; an output end of the radio frequency switch is respectively connected with N branches, and the number of the branches is a natural number; step 2. a corresponding matching antenna is set for each branch; each matching antenna is regulated to a corresponding equivalent matching circuit through topology optimization of the matching circuit according to the working condition of the antenna system, and then each branch is connected with a feeding port of the antenna in the antenna system. Compared with a proposal of a parallel matching circuit selected by the former switch, the invention removes a radio frequency switch 2 and selects matching of each branch in on state, thus solving the problem of non-ideal work of the radio frequency switch 2 in the former proposal and saving device cost consequently.

A method for performing fatigue-based topology optimization of a structure on a computational device is provided. The method may include receiving first data pertaining to a problem definition of the structure; generating a density filter; generating interpolation schemes for stiffness, volume and fatigue; generating a global fatigue measure; generating an adaptive normalization scheme; generating a regional fatigue measure; generating second data based on the first data, the density filter, the interpolation schemes, the global fatigue measure, the adaptive normalization scheme and the regional fatigue measure, the second data pertaining to an optimized solution to the problem definition; and displaying the optimized solution at an output device.

The invention belongs to the technical field of mechanical design and relates to a topological optimization design method for a high-speed vertical machining centre long-span beam. The method is mainly for the topological optimization of the three-dimensional solid structure of the long-span beam. The method consists two parts of early basis analysis and topological optimization design; the early basis analysis is to grasp the static and dynamic properties of the original beam, find out the parts of relatively weak static and dynamic properties and perform structural topological optimization on the beam correspondingly; and in the later topological optimization design, based on the result of the basic analysis, the later structural topological optimization including two-dimensional topological optimization and three-dimensional topological optimization of the beam is performed according to the characteristics of the beam. In the topological optimization method, a density method is adopted, the volume fraction response is used as a constraint function, and the static strain energy response is used as a target function; and finally an innovative model is established again according to the results of the two-dimensional and three-dimensional topological optimization analysis. The structural topological optimization method has the advantages of improving the optimization efficiency, along with accurate and reliable optimized results.

The invention relates to the novel technical field of a wireless sensor and actuator network, in particular to a power-adjustable zonal sensor network topology control method. The method is characterized by sequentially comprising the following steps: 1) an information collecting stage: a sensor sink center node which is arranged in a zonal region initiates a collecting command to a plurality of sensor network nodes which are arranged in the zonal region from the near to the distant, and the sensor nodes obtain an information channel quality parameter which is communicated with a plurality of neighbor nodes to obtain an initial topology connection diagram; 2) a topology optimizing stage: each sensor network node computes the connection priority with each neighbor node in a distributing way to obtain a topology optimizing parameter and confirm an optimization route of the nodes for transmitting a data packet; and 3) a transmitting power control stage: each node controls the powder from the near to the distant at the beginning of the sink node according to the topology optimizing parameter obtained in the topology optimizing stage, so that the interference among the communication is reduced, and the energy consumption is reduced.

The invention discloses an SLM process based part lightweight design processing method. The method comprises the following steps: establishing a finite element model through a three-dimensional digital model of a part, and defining load and boundary conditions; establishing a part topological optimization model and setting a topological optimization unidirectional withdrawal constraint; performing part topological optimization to generate an initial lightweight model, performing mechanical performance analysis on the initial lightweight model, arranging self-supported porous structures with different densities according to stress distribution of the initial lightweight model, and generating a final lightweight model; and processing a final lightweight entity part through an SLM forming technology by utilizing the generated final lightweight model. The unidirectional withdrawal constraint is set in a specified direction during the topological optimization process, and the part topological optimization is finished, so that the part lightweight design is realized; a withdrawal constraint based topological optimization result is suitable for an SLM process, so that a supporting structure does not need to be added, a complicated support removal process is not required, and the design process is simplified; and the self-supported porous structures with different densities are introduced, so that the weight of the structure is further reduced.

The invention discloses a method of continuum structure non-probabilistic reliability topological optimization under the mixed constraints of displacements and stresses. According to the method, first, a continuum structure non-probabilistic reliability topological optimization model with weight lowering as an optimization objective is established; then, the vertex combination method is utilized to obtain upper and lower bounds of displacements and stresses, and thus corresponding reliability indexes are obtained; next, the non-probabilistic reliability indexes are replaced by utilizing optimization characteristic displacements so as to improve the convergency of problems, and the sensitivity of the optimization characteristic displacements to design variables is solved by utilizing the adjoint vector method and the compound function derivation law; finally, the design variables are updated with the method of moving asymptotes, repeated iteration is conducted until corresponding convergency conditions are met, and the optimal design scheme meeting reliability constraints is obtained. During the optimization design process, the comprehensive influence of uncertainty on the continuum structure property is reasonably represented, weight lowering can be effectively achieved, and it is guaranteed that the design itself gives consideration to both safety and economy.

The invention discloses a method for designing a wind machine blade and the wind machine blade which is designed according to the method. The blade comprises a crossbeam (2) and skin (1); and the crossbeam (2) comprises at least one opening (21). The method comprises the following steps of: determining a pneumatic appearance parameter of the blade and a structure parameter of the crossbeam by theconventional method for designing the blade; forming openings on the substance crossbeam by a topological optimization method; primarily determining the design position, number and size of ribs, the material of skin and initial design thickness by optimization calculation; and checking intensity, rigidity and fatigue of the primarily designed blade structure, adjusting and optimizing according toa checking result to ensure that the blade has high structure performance. The openings are formed on the crossbeam, and reinforcement ribs are formed between the crossbeam and the skin, so that the weight of the blade is reduced when the intensity and rigidity of the blade structure are guaranteed, the cost of the blade is reduced, and the loading of the blade can be reduced conveniently.

The invention discloses an STL model Boolean calculation based method for extracting an inner surface model of a fuel tank in an airplane. An STL file is generated through format conversion of an initial CAD model; the STL file is subject to topological optimization to generate point-line-surface index information and adjacent point-line-surface information; Boolean subtraction operation is performed between an encircled body A formed by the theoretical outline surface of the fuel tank and a real fuel tank model B, the crossed ways of triangular surface patches are classified, and grids are re-divided after crossing; and finally all surface patches of the two models are screened according to a logic relation of Boolean subtraction, reconstruction is performed to form a new model, and the rest surface patches are removed, so that the extraction of the inner surface model is realized. According to the method, the inner surface model is extracted from the complicated CAD model of the fuel tank in the airplane; the method has robustness and timeliness; the calculation complexity is dramatically lowered; and the method greatly runs ahead of similar existing methods.

The invention discloses an automobile hub lightweight design method. The method comprises the steps of S1, establishing an automobile hub three-dimensional geometrical model and filling the spoke area of the geometrical model with materials; S2, establishing a hub topology optimization mathematical model and obtaining the optimal material distribution structure of a hub by means of topology optimization; S3, conducting secondary design and strength analysis in CAD software according to the hub structure subjected to topology optimization; S4, establishing an approximation model by means of the Latin square test sampling method and the response surface technology, and conducting size optimization on the hub subjected to secondary design by means of the evolution algorithm; S5, conducting strength verification on the optimized model. According to the method, conceptual design is conducted on the automobile hub firstly through topology optimization to obtain optimal material structure distribution of the automobile hub, then the approximation model is established by means of the Latin square testing method and the response surface technology with the strength of the hub as the restraint condition, detailed size optimization is conducted on the hub subjected to secondary design by means of the evolution algorithm, and then lightweight of the hub is realized.

The present invention discloses a method of evolutionary optimization algorithm for structure design which comprises steps of: meshing a geometric structure with applied geometric boundary conditions; analyzing the meshed geometric structure by finite element analysis to determine the relative stress distribution of the structure; and evolving the geometric structure by migrating geometric boundary nodes. During evolution, meshing and finite element analysis are repeated to perform structural optimization evolutionally till the evolving design converged to an optimum. The present invention overcomes the mesh-dependency problem in most of structural optimization algorithms in the field of structure topology optimization. In addition, the optimized design of the present invention possesses smooth geometric boundaries. Moreover, structure topology resolutions can be controlled and capable of producing designs that are very close to exact theoretical analysis.

The invention relates to a personalized interbody fusion cage design method based on topological optimization and bony reconstitution simulation. The method includes the steps of conducting CT / MRI scanning on a vertebral body, segmenting a CT / MRI continuous cross-sectional image of the vertebral body, establishing a three-dimensional model, establishing a finite element model through the substeps of grid dividing and smoothing, material assignment, boundary condition setting, mechanical loading and the like, conducting the topological optimization design on an interbody fusion cage through a density-variable method, and evaluating whether the design is reasonable or not by conducting bony reconstitution numerical analogue simulation on the vertebral body and the cage bone filling area according to the adaptation bony reconstitution theory on the basis of the strain energy density.

The invention relates to a large structure dynamic optimization design method based on structural decomposition. In three-dimensional modeling software, a geometric model of a large member is established, a size variable of an external frame forming a structural member is recognized, and a basic style and the size variable of an internal composition unit are recognized; the external frame of the structural member is subjected to topological optimization, the size of the internal composition unit is optimized, and size data are acquired; the optimized size data are imported into Isight-FD software, optimization iterative analysis is performed on different combinations and different size configurations of the external frame and the internal composition unit according to the constraint condition and the target function, and an optimization result is output. The method is widely applied to lightweight and weight reduction design of a large and heavy-load complicated structure part and has the advantages of capability of realizing design from the simple into the deep as well as fastness and reliability. Due to the robustness of an algorithm, the geometric structure meeting the requirements of mechanical properties can be found only through a few sampling points, and reliable technical support is provided for structure design work of large heavy-load equipment at the present stage.