MULTIDISCIPLINARY STRUCTURAL DESIGN OPTIMIZATION METHOD FOR FUEL ASSEMBLY BASED ON CO-SIMULATION

    公开(公告)号:US20230252203A1

    公开(公告)日:2023-08-10

    申请号:US17780290

    申请日:2021-10-18

    CPC classification number: G06F30/20 G06F30/17 G06F2119/08

    Abstract: A multidisciplinary structural design optimization method for a fuel assembly based on co-simulation takes the fuel assembly as a research object, and establishes a surrogate model by determining appropriate optimization design parameters with respect to the optimization requirements and low design of experiments efficiency of the fuel assembly under the working conditions of flow, solid and thermal multidisciplinary coupling. At the same time, the method combines optimization algorithms to realize the structural optimization design of a flaky fuel assembly with multiple narrow flow channels based on the characteristic of rapid optimization of ISIGHT, thereby effectively solving the problem of uneven temperature distribution of the structure. The method integrates NX, ICEM CFD, FLUENT and ABAQUS based on ISIGHT to construct a co-simulation platform, does not need to repeatedly manually set the software in multiple calculations, and can greatly save time cost while satisfying design requirements, and can shorten an optimization cycle.

    ONLINE FAST PROCESSING METHOD FOR REAL-TIME DATA BASED ON EDGE COMPUTING

    公开(公告)号:US20230229725A1

    公开(公告)日:2023-07-20

    申请号:US17799165

    申请日:2022-05-05

    CPC classification number: G06F17/10

    Abstract: The present invention belongs to the technical field of signal processing, and relates to an online fast processing method for real-time data based on edge computing. In the present invention, a dynamic online de-noising method is adopted to remove noise contained in speeds to ensure the effectiveness and accuracy of de-noising results; for the displacement integrated online, an efficient method is adopted for dynamic online de-noising to further reduce the effectiveness of drift in the displacement value on final integration results; and under the condition of ensuring the accuracy of an integration method, an integration algorithm is embedded into an edge device to realize fast calculation and analysis of data near a data source and realize dynamic fast integration of online signals based on edge computing, which provides effective references for efficient processing and calculation of data.

    A DIGITAL TWIN FRAMEWORK OF WELD JOINT FATIGUE BASED ON STRUCTURAL STRESS METHOD

    公开(公告)号:US20230342522A1

    公开(公告)日:2023-10-26

    申请号:US17799474

    申请日:2022-05-05

    CPC classification number: G06F30/23

    Abstract: The present invention belongs to the field of the digital twin, and relates to a digital twin framework of weld joint fatigue based on a structural stress method. The framework is divided into an off-line stage and an on-line stage, wherein the off-line stage comprises establishing a finite element model, calculating equivalent structural stress, and training an artificial intelligence algorithm; and the on-line stage comprises reading sensor data, predicted by the artificial intelligence algorithm, counting by a rainflow counting method and calculating remaining life by cumulative damage. The framework combines five methods, i.e. a finite element method, a structural stress method, the artificial intelligence algorithm, an upper envelope method, the rainflow counting method, and a Miner linear cumulative damage method. The present invention realizes visual feedback and early warning of a dangerous position of a weld joint through real-time prediction of mechanical properties and fatigue damage of the weld joint.

    CONSTRUCTION METHOD OF DIGITAL TWIN FOR STRUCTURE PERFORMANCE OF INTELLIGENT EXCAVATOR

    公开(公告)号:US20230115586A1

    公开(公告)日:2023-04-13

    申请号:US17633069

    申请日:2021-10-08

    Abstract: A construction method of digital twin for structure performance of an intelligent excavator. Through the finite element analysis on key parts in the process of the intelligent excavator, the relevant structural mechanics performance is obtained; The important operating states of the key parts of the intelligent excavator in the excavation process are collected, and the key operating data are obtained through data processing and calculation; sensor data and an artificial intelligence algorithm are fused, and the structure performance of the parts of the intelligent excavator under multiple unknown working conditions is predicated by using a prediction model; and finally, the performance data information is modeled and rendered by computer graphics technology, to obtain a digital twin of the structure performance display of the intelligent excavator is obtained, thereby realizing digital twin mapping of the performance information on key parts of the intelligent excavator in the excavation process.

    MAGNETOFLUID PUMP DEVICE FOR IGBT HEAT DISSIPATION AND TEST METHOD THEREFOR

    公开(公告)号:US20210257278A1

    公开(公告)日:2021-08-19

    申请号:US17252649

    申请日:2020-08-03

    Abstract: A magnetofluid pump device for IGBT heat dissipation and a test method therefor are provided. The magnetofluid pump device uses a liquid metal as a coolant, which can absorb more heat than an ordinary water-cooling device and better dissipate heat for IGBT chips. Temperature and pressure changes in an inlet pipe and an outlet pipe of a magnetofluid pump can be monitored in real time through temperature sensors and pressure sensors, and temperature changes of the IGBT chips can be observed in real time through a thermal imager. The test method for the magnetofluid pump device for IGBT heat dissipation proposed by the present invention is simple and easy to implement. A magnetic fluid can be driven to flow by energizing positive and negative electrodes in the magnetofluid pump under the action of magnetic fields, and water-cooling equipment can dissipate heat for the magnetic fluid in the magnetofluid pump.

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