Method for constructing body-in-white spot welding deformation prediction model based on graph convolutional network

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United States of America Patent

PATENT NO 12093019
APP PUB NO 20220390920A1
SERIAL NO

17830361

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A method for constructing a body-in-white (BiW) spot welding deformation prediction model based on a graph convolutional network (GCN) includes: 1) acquiring a welding feature and 3D coordinates of a spot weld to form an eigenvector and extracting designed 3D coordinates at each 3D coordinate measurement point; 2) encoding, by an encoder, eigenvectors and designed 3D coordinate vectors into hidden space vectors of spot welds and hidden space vectors of the coordinate measurement points, respectively, and constructing a graph topology G through a k-nearest neighbors algorithm; 3) decomposing a Laplacian eigenvector of the constructed graph topology G to acquire frequency domain components, and linearly transforming eigenvalues corresponding to the frequency domain components to construct a multi-layer GCN; 4) inputting the thermodynamic and kinetic information of each coordinate measurement point into a deep neural network and decoding a final deformation at each coordinate measurement point; and 5) optimizing the model.

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CHONGQING UNIVERSITY400044 NO 174 SHA JIE STREET SHAPINGBA DISTRICT CHONGQING CHONGQING CITY CHONGQING CITY 400044

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kang, Ling Chongqing, CN 1 1
Wang, Shilong Chongqing, CN 34 20
Wang, Yu Chongqing, CN 1481 8143
Yang, Bo Chongqing, CN 650 5069
Yi, Lili Chongqing, CN 3 1

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