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5 results about "Topological optimization" patented technology

Vehicle-mounted theodolite supporting platform

ActiveCN108482263AImprove bearing efficiencyImprove dynamic characteristicsGeometric CADDesign optimisation/simulationTheodoliteCable stayed
The invention discloses a vehicle-mounted theodolite supporting platform. The vehicle-mounted theodolite supporting platform comprises a platform supporting frame, a platform skin, a device installingboss, a platform supporting leg transferring member and a platform supporting leg assembly. The platform skin covers the platform supporting frame, the device installing boss is arranged on the platform supporting frame, the platform supporting frame is a rectangular frame welded by metal pipes, and cable-stayed rods are arranged in the rectangular frame according to the transfer path of force based on results of topological optimization. The platform supporting leg assembly is arranged below the four top corners of the platform supporting frame, and the platform supporting leg transferring member is arranged at the joint of the four top corners of the platform supporting frame and the platform supporting leg assembly. The vehicle-mounted theodolite supporting platform can guarantee the supporting stiffness of the vehicle-mounted platform and realizes the lightweight of the vehicle-mounted platform on the premise of fundamental vibrational frequency.
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI

Multi-working-condition frame topological optimization method based on grey clustering algorithm model

PendingCN113239457AInhibition phenomenonImprove manufacturabilityGeometric CADDesign optimisation/simulationCluster algorithmAlgorithm
The invention discloses a multi-working-condition frame topological optimization method based on a grey clustering algorithm model, and the method comprises the specific steps: carrying out the initial topological optimization of a structure through employing the grey clustering algorithm model, carrying out the pseudo-density of a unit set A, carrying out the clustering of a sample group in the set A according to the correlation between a unit and the structure, determining a clustering index according to a specific actual engineering condition, and then dividing the set A into a deleted unit set B and a reserved unit set C; and filtering and classifying difficult-to-cluster units in a sample according to a distance selection threshold value from the difficult-to-cluster units to a force transmission path, performing grey clustering analysis, dividing A into a deletion unit set B or a reservation unit set C, and taking a frame as an implementation carrier. According to the method, the grey clustering algorithm is applied to the topological optimization design of the structure, the checkerboard phenomenon is effectively inhibited, the manufacturability of the topological optimization result is improved, the frame structure meeting the dynamic and static characteristics is designed, the design and manufacturing period of a product is shortened, and the research and development efficiency and quality of the product are improved.
Owner:JIANGSU UNIV

Preparation method of negative thermal expansion metamaterial sandwich panel based on topological optimization design

PendingCN114091124AMultiple Design FreedomGeometric CADDesign optimisation/simulationThermal dilatationElement model
The invention discloses a preparation method of a negative thermal expansion metamaterial sandwich panel based on topological optimization design. The preparation method comprises the following steps: (1) establishing an overall structure model of the negative thermal expansion metamaterial sandwich panel; (2) establishing a metamaterial-based structure finite element model for filling the sandwich panel; (3) inputting basic material parameters, constraint values and a finite element model of the metamaterial-based structure; (4) calculating values of an equivalent thermal expansion coefficient and an equivalent elastic modulus of the metamaterial and corresponding partial derivatives; (5) establishing an explicit optimization model, and solving through linear programming; (6) judging whether the equivalent thermal expansion coefficient convergence precision is met or not, and if the equivalent thermal expansion coefficient convergence precision is not met, returning to the fourth step; and if the equivalent thermal expansion coefficient convergence precision is met, inverting the optimal continuous topological variable until the equivalent elastic modulus requirement is met, to obtain an optimal topological structure; and (7) modeling the filled metamaterial, and filling the negative thermal expansion metamaterial in a periodic array between clamping plates to form the negative thermal expansion sandwich plate. The method has more design freedom degrees and better performance.
Owner:BEIJING UNIV OF TECH

Load importance-based three-stage topological operation optimization method

PendingCN114069689AImprove superiorityHigh feasibilityPower network operation systems integrationSingle network parallel feeding arrangementsSystem capacityIslanding
The load importance-based three-stage topological operation optimization method provided by the embodiment of the invention comprises the following steps: collecting power distribution network operation data after a fault, and establishing a topological structure for fault identification; establishing a load importance evaluation model according to the power-losing charge in the distribution network operation data; searching a distributed power generation device with adjustable power in the island area of the distribution network, and carrying out first-stage topological optimization; establishing a two-stage topological optimization model, and performing load transfer on the standby feeder line and the distributed power generation device; and after load transfer, if a target substation in an overload operation state still exists, establishing a secondary transfer model, and obtaining the optimal transfer load capacity of the target substation. The method can effectively process the decision of the optimal operation mode of the distribution topology under the fault, improves the power supply reliability of the power distribution network, can check and optimize the maintenance mode of the power distribution network, facilitates the regulation and control of the comprehensive analysis of the load of the cloud platform power distribution network, and also facilitates the optimal utilization of the system capacity of the power distribution network.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO +1
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