600 results about "Topological optimization" patented technology

The invention relates to a method for achieving multi-material topological optimization of a structure by adopting a sequence power function interpolation method, and belongs to the field of engineering structure optimization design. The method comprises the steps that a parameterized finite element model of a continuum structure is established; a multi-material topological optimization mathematical model is established on the basis of the finite element model; a sequence power function interpolation model of unit elastic moduli and material costs which take the density as the independent variable is established; sensitivity information responded by an objective function, the elastic moduli, a mass function, a cost function and unit material costs is obtained; an optimization rule is educed according to the Kuhn-Tucker condition. Compared with an existing multi-material topological optimization method, according to the sequence power function interpolation method, a topological structure which is high in rigidity, low in cost and light in weight can be obtained only through a small amount of calculation, and the calculation amount has nothing to do with the number of considered material types. In addition, the material cost constraint is also considered, the finally obtained structure is large in rigidity and light in mass, and the material cost is not increased.

The invention discloses a topological optimization method based on a meshfree RKPM (reproducing kernel particle method) for a thermal structure of an anisotropic material. The method comprises a step of establishing a meshfree RKPM thermal stiffness matrix of the structure of the anisotropic material with a transformation matrix method, and the step comprises the following sub-steps: (1) solving dynamic influence domain radius of each calculation point according to coordinate information of input nodes and Gaussian points; (2) solving relative density of each RKPM node according to an RAMP (rational approximation of material properties) material interpolation model; (3) searching Gaussian points in a design domain, and establishing thermal conductivity tensor of each node according to the thermal conductivity of the anisotropic material, an orthotropic factor and a material direction angle; (4) taking a dot product of a thermal conductivity coefficient matrix and a geometric matrix of each node as an RKPM thermal stiffness matrix of the node; (5) forming the integral RKPM thermal stiffness matrix in the design domain. According to the method, topological optimization of the thermal structure of the anisotropic material is performed on the basis of the meshfree RKPM, the transformation matrix method and the RAMP material interpolation model, and the numerical stability is high.

The invention discloses a manufacturing method of a ceramic mold of a monocrystal turbine blade. The integral ceramic mold with a special spiral crystal selector is designed and manufactured according to grain orientation requirements of the monocrystal turbine blade. When orientated solidification is used for manufacturing the monocrystal blade, the thickness of a shell at an abrupt change in a section (such as a connecting part between a blade body and a marginal plate) is increased, and the heat transfer capacity is reduced, so that crystal defects such as stray crystals are caused easily. On the premise that the casting strength requirements are met, with the adoption of topological optimization and design of a heat transfer passage, the heat transfer capacity of the mold is improved, and a temperature gradient on the leading edge of a solid-liquid interface during the orientated solidification is increased, so that the whole blade can obtain a good monocrystal organization.

The invention provides an automobile chassis part weight reduction method based on multi-body dynamics and a topological optimization technology for the purpose of solving the problems that in existing automobile designs, a clear and feasible weight reduction method is unavailable, and an automobile chassis part still has a large weight reduction space. The automobile chassis part weight reduction method comprises the following steps: step 1, a finished automobile multi-body dynamic model and an object part finite element model of an object automobile type for weight reduction are established; step 2, multiple typical working conditions are selected, and an equivalent static load borne by an object part under each typical working condition is extracted; step 3, the equivalent static loads extracted in the step 2 are used as optimization boundary conditions, a flexibility weighting coefficient of each typical working condition is selected, the minimum total weighting flexibility serves as an objective function, and topological optimization is conducted with a constraint function including modality and stress; step 4, a threshold value is selected for a topological optimization result, and the position of a material to be removed is guided. The automobile chassis part weight reduction method based on the multi-body dynamics and the topological optimization technology combines a fatigue strength design with a static strength design, thereby having high reliability, portability and operability and being capable of effectively shortening the development cycle.

Design process that performs geometry synthesis on a 3D model of a product based on a design problem statement and manufacturing constraints associated with a manufacturing machine intended to manufacture the product. The manufacturing constraints may include dimensions for a tool bit, dimensions for a tool head, a set of machining directions of the manufacturing machine, or any combination thereof. For a 5-axis manufacturing machine, the set of machining directions may be determined by a “NormalSearch” algorithm and/or a “HeatSearch” algorithm. The geometry synthesis produces a design solution comprising a final 3D model of the product, whereby each point on the boundary of the final 3D model is determined to be accessible by a tool bit and/or tool head in at least one machining direction of the manufacturing machine. Thus, the design solution for the product is more easily and directly manufacturable by the manufacturing machine.

The invention discloses a density evolution topological optimization method for a continuum structure with a smooth boundary. The method comprises the following steps: establishing a geometric initialdesign domain of the continuum structure; establishing a finite element model of a geometric initial design domain based on a material interpolation model without a penalty function; establishing a continuum structure topological optimization problem mathematical model; calculating the sensitivity of the optimization target and the constraint condition to the design variable, and conducting filtering; updating a design variable according to the sensitivity by adopting an optimization algorithm, and carrying out graded filtering on the density to achieve convergence and constraint conditions so as to obtain a finite element model of an optimized structure; and constructing a node strain energy level set, and processing a boundary unit to obtain a structure topological optimization model ofa smooth boundary displayed based on the node density or the node strain energy level set. According to the method, a penalty-function-free material interpolation model and a density grading filtering method are provided, a structure boundary unit is processed, an optimization result with a smooth boundary is obtained, and the topological optimization problem is efficiently solved.

The invention belongs to the technical field of structural optimization and discloses a multi-microstructure-oriented material structure integrated construction method. According to continuously changing material distribution and unit density which are obtained through a traditional variable density method, a material area is divided and subjected to unit density grouping on the basis of a post-processing mechanism, definition and dividing of areas, with different material attributes, in a macrostructure are achieved, and various microstructures in the macrostructure are defined; a material structure integrated design model is established on the basis of a parameterized level set topological optimization method and the homogenization theory, that is, integrated design is carried out according to various defined microstructures and the macrostructure, the parallel design of the macroscopic structure and the microstructures is achieved, and under a given constraint condition, the performance of the overall structure is optimal.

The embodiments of the invention relates to network topology optimization. In some examples, a controller for a multi-layer network comprising a network layer and an underlying transport layer is configured to obtain abstract link data describing a plurality of candidate links; determine, based at least on the abstract link data, a first solution comprising a network topology for the network layer that includes a first selected subset of the candidate links; determine, after generating a modified network topology based at least on the network topology and the abstract link data, a second solution comprising the modified network topology for the network layer that includes a second selected subset of the candidate links; and output, for configuring the multi-layer network, topology data for one of the first solution or the second solution having a lowest total cost, the lowest total cost including a total resource cost to the network for the one of the first solution or the second solution.

The invention relates to a comprehensive topological optimization method. According to the method, network topological optimization is divided into two phases, firstly, the running state of a current system is determined; before running of the network topology of the system, the invention provides a topological optimization algorithm based on node criticality, which is used for quantitatively computing the criticality of each node in the topology, and keeping node variance in the whole topology within a certain range, so that the impact caused by invalidation of each node is effectively reduced, and the robustness of the network topology is improved; after the network topology of the system runs, a topological optimization method based on credibility and weighting load flow is provided to perform quantitative computation on the credibility of each node and the weighting load flow of each link, and keep the credibility of the node and the weighting load flow of each link at a certain level, so that the topology can be well optimized and can find a certain node or the fault of a certain link rapidly.

The invention belongs to the technical field related to structure topological optimization design, and discloses an efficient structure frequency response topological optimization method. The method comprises the following steps that: (1) decoupling two coupling variables including time and space in a standard level set function in a dynamic model of which the structure is to be optimized, and meanwhile, expressing the level set function related to time as a matrix product form; (2) converting a partial differential equation of the time-related level set function into an ordinary differential equation so as to obtain a new linear system, and solving to obtain the time-related level set function; (3) carrying out finite element analysis on a macrostructure so as to calculate a target function and a constraint function of a structure optimization problem; and (4) calculating the sensitivity, which relates to a design variable of the target function and the constraint function obtained in the (3), and judging whether the target function is convergent or not after the design variable is updated. By use of the method, a discrete wavelet transform technology is adopted to carry out recompression on an interpolation matrix, efficiency is improved, and cost is lowered.

The invention discloses a variable density method-based stress and strain energy double-constraint topological optimization method. Based on a variable density method and an SIMP material interpolation model, a finite element method is utilized to calculate the strain energy of a structure and the Mises stress of a unit, the minimal structure volume is taken as an objective function, the structurewhole is taken as a constraint, a P norm method condenses the unit stress of the structure into a global stress constraint; a topological optimization model containing stress and strain energy doubleconstraints is constructed, the sensitivity of an objective function and a constraint function relative to a design variable is calculated, a topological optimization problem is solved by using a moving asymptotic line method, iteration is repeated until a convergence condition is met, and an optimal topological structure is obtained. The stress and strain energy double-constraint topological optimization method is used for topological optimization of the structure, the problem that a topological structure obtained through a traditional topological optimization method cannot meet the strengthor rigidity condition is solved, and the topological structure obtained through topological optimization meets the preset structural static strength and rigidity condition.

The invention discloses a bidirectional evolutionary structure topological optimization based disk type flywheel optimized design method. The disk type flywheel is made of a homogeneous material. The design method comprises the following steps: performing finite element grid division on an initial design domain of the disk type flywheel and giving a target volume, a volume evolution rate and a filtering radius of a structure; performing finite element analysis on the flywheel structure and calculating a stress sensitivity number of each unit; obtaining the sensitivity number of the current iteration and the structure target volume of the next iteration; and deleting and adding units until the target volume and the condition of convergence are satisfied at the same time. Through the bidirectional evolutionary structure topological optimization based disk type flywheel optimized design method, disclosed by the invention, practical flywheel optimized design can be guided rationally, and therefore, mass of the flywheel can be reduced on the basis of a certain intensity.

The invention discloses a structure topology optimization method based on material field reduction series expansion, and solves the problem of low calculation efficiency caused by too many design variables and need of relative density or sensitivity filtering measures in traditional density method topology optimization. The method comprises the following steps: a bounded material field consideringcorrelation is defined; a spectral decomposition method is adopted to perform transform to obtain a linear combination of a series of undetermined coefficients, the undetermined coefficients are usedas design variables, an optimization model is constructed based on a unit density interpolation model, a gradient class or non-gradient class optimization algorithm is adopted to solve a topologicaloptimization problem, and then a topological configuration with a clear boundary is obtained efficiently. According to the method, the number of design variables in density method topology optimization can be greatly reduced, and meanwhile, the method has the natural advantage of completely avoiding grid dependence and chessboard format problems. The method also inherits the advantages of simple density method form, convenience in engineering popularization and the like, the optimization solving speed is high, and the research and development efficiency of the innovative topological design ofthe complex equipment structure can be ensured.

The invention provides an unmanned aerial vehicle formation consistency control method, system and device under a time-varying channel based on topological optimization, and a storage medium. The method comprises the steps: performing distributed data transmission by unmanned aerial vehicles in a formation to obtain a formation topology; selecting a point with the maximum in-degree in the formation topology as a central point of the formation, and calculating an algebraic characteristic value of a topological Laplace matrix by combining the central point with global formation topology information; estimating the maximum convergence time of prediction consistency control according to the relationship between the algebraic characteristic value and the formation consistency control rate; carrying out topology reconstruction and optimization on the formation; and performing consistency control according to the optimized formation topology. The invention has the beneficial effects that thetopological structure can be effectively improved, the formation control under a deteriorated multipath channel is enhanced, the control precision within limited convergence time can be ensured, and avery good technical effect is achieved.

The invention belongs to a material analysis technology, and relates to a method for optimized analysis of composite material reinforced wall plate structures. According to the method, optimized analysis is carried out on the composite material reinforced wall plate structures in two stages: stage 1: carrying out topological optimization on fillet arrangement on a composite material reinforced structure so as to determine a fillet arrangement position and a reinforcing form; and stage 2: further carrying out laying optimization on the basis of the optimization in the stage 1 so as to determine a laying angle and a laying thickness, and then further lightening the weight of the structure. Through the optimization of the two stages, a high-efficiency composite material reinforced wall plate structure is obtained. According to the method provided by the invention, a composite material reinforced wall plate structure form with higher efficiency can be obtained through two processes of topological optimization and laying optimization, the security and reliability of the composite material structure can be ensured, the weight of the structure can be lightened by more than 20%, the blindness of the design is avoided, and the design requirements can be realized with relatively economic weight and cost, so that the aircraft development period can be shortened, and remarkable economic benefit and social benefit can be obtained.

The invention relates to a component distribution method for an automobile seat framework. The component distribution method for the automobile seat framework comprises the steps that a design model is established according to the design request of the seat framework, and a design area is determined; a finite element model of the automobile seat framework is established according to the design area and loading conditions; topological optimization design is conducted on the finite element model with a variable density method, and a material density distribution diagram in the design area is obtained; pipe structural parts of the automobile seat framework are arranged based on the material density distribution diagram. The reasonable material density distribution diagram is obtained by establishing the finite element model for the design area, the pipe structural parts are distributed and arranged based on a material density method, and the purposes that under the premise that the safety of the automobile seat framework is met, the weight of the pipe structural parts is reduced, and the rigidity and the strength of the pipe structural parts are improved are achieved. The lightweight design of the automobile seat framework is achieved, and good economical efficiency can be obtained.

The disclosure notably relates to a computer-implemented method for designing a modeled object. The method includes obtaining a finite element mesh, data associated to the finite element mesh and a non-uniform distribution of one or more local quantity constraints. The data associated to the finite element mesh include forces, boundary conditions, parameters, and a global quantity constraint. The method also comprises performing a topology optimization based on the finite element mesh, the data associated to the finite element mesh, and the non-uniform distribution. The method improves the design of a modeled object representing a mechanical part by topology optimization.

An automobile tailgate made of resin-based composite material, which includes an automobile tailgate outer panel, a tailgate window edge, a vehicle window inner frame, a tailgate license plate frame, an automobile tailgate inner panel, a tailgate hydraulic cylinder mounting support, and an inner panel reinforcement Ribs, tailgate latches, inner panel weight-reducing holes, tailgate hinge mounting holes. It is made of large-tow carbon fiber or glass fiber material, combined with low-viscosity resin, using resin transfer molding (RTM) process. The weight of the tailgate is further reduced through the topologically optimized weight-reduction holes on the inner panel of the tailgate. The strength and rigidity of the inner panel are enhanced through the reinforcing rib at the bottom of the inner panel of the tailgate. Use the tailgate hydraulic cylinder mounting brackets, tailgate latch and tailgate hinge mounting holes to mount composite automotive tailgates to the vehicle body. Due to the use of fiber-reinforced composite materials with high specific strength and specific stiffness, combined with the modular and lightweight design concept, the weight of the vehicle is greatly reduced, the number of parts of the tailgate is reduced, and energy saving and emission reduction are realized.

The invention discloses a continuum structure non-probabilistic reliability topological optimization method based on a parameterized level set method. The method comprises the following steps: firstly, according to the stress and failure characteristics of a continuum structure, considering the uncertainty effect of finite sample condition parameters based on a non-probability set reliability model, taking reliability and volume as constraint conditions, taking the sum of upper bound flexibility and lower bound flexibility as an optimization target, taking the coefficient of a tight support radial basis function as a design variable, and establishing a non-probabilistic topological optimization model considering bounded uncertainty parameters; and solving the topological optimization modelbased on an optimization criterion method, obtaining a level set function of the continuum structure under given external load and boundary conditions through repeated iteration, and further determining the configuration of the structure. According to the method, the comprehensive influence of uncertainty parameters on level set function evolution in the topological optimization process is effectively and reasonably quantified in the topological optimization design process of the continuum structure, weight reduction of a certain target can be achieved, the structure keeps a certain degree ofreliability, and a structural design result is balanced in two aspects of safety and economy.