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2 results about "Surface distance" patented technology

A method and system for predicting leakage of a metal seal structure

The application discloses a metal sealing structure leakage prediction method and system, first, a macroscopic service finite element model is constructed according to the structure and service parameters of the sealing structure, the service deformation behavior is simulated, the model is based on the rotation symmetry characteristic of the sealing structure, the axisymmetric shell model is adopted in the finite element software, the cross section is simplified, the grid is divided and the flange movement is set. Then, a microscopic crystal plastic model with a rough surface is constructed based on the surface roughness, the model construction and grid processing are carried out by considering the material microstructure and characteristics. The deformation amount of the contact position is extracted from the macroscopic model as the boundary condition of the microscopic model to simulate the microscopic deformation. Finally, the distance between the rough surface mean line and the flange surface distance is determined from the microscopic model as the gap height, and the internal and external pressure difference in the service of the sealing structure is combined to calculate the leakage amount of the sealing structure. In this way, the simulation result is more close to the actual situation by combining the macroscopic and microscopic models, and the leakage prediction precision and efficiency of the sealing structure are improved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

A method, device and medium for quantitative evaluation of a jacket damage based on registration and fusion of data of different scales

PendingCN122367958AAlgorithmVisual perception
The application discloses a kind of based on the registration and fusion of heteroscale data, method, device and medium of quantitative evaluation of jacket damage, comprising: acquisition jacket monocular vision image sequence and laser radar data, respectively three-dimensional reconstruction obtains scaleless vision dense point cloud and has absolute scale laser point cloud;Three-dimensional feature is extracted and is registered by scale and pose decoupling strategy heteroscale, and high-precision datum point cloud model before construction is constructed;According to the same procedure, obtain the point cloud to be measured in construction, and the weight of large residual point pair in local deformation area is obtained by dynamic inhibition, and difference point cloud is obtained;Surface distance is calculated using a specific algorithm, and initial abnormal point cloud is extracted according to threshold value;Independent damage instance is separated by adaptive density clustering combined with spatial position and deformation depth constraint, and the surface area and maximum physical recess depth of each instance are quantified.The application realizes the complementary advantages of cross-scale data, solves the registration distortion problem of traditional method, and provides high-precision damage positioning and quantitative evaluation means.
Owner:ZHEJIANG UNIV