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20202023
most citedA study on using image based machine learning methods to develop the surrogate models of stamp forming simulations

3 citations · 5 across the 4 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CE2021★ 1 cited

SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features

Qingfeng Xu, Zhenguo Nie, Handing Xu +2

In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contribute…

math.NA2021

SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain

Handing Xu, Zhenguo Nie, Qingfeng Xu +1

Due to the limit of mesh density, the improvement of the spatial precision of numerical computation always leads to a decrease in computing efficiency. Aiming at this inability of…