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

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

30 September 2020
Hao Zhou
Qingfeng Xu
Nan Li
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations"

3 / 3 papers shown
Title
Image-based Artificial Intelligence empowered surrogate model and shape
  morpher for real-time blank shape optimisation in the hot stamping process
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
Hao Zhou
Nan Li
AI4CE
71
1
0
01 Dec 2022
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural
  Network Architecture
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
Q. Le
C. Ooi
AI4CE
49
10
0
09 May 2021
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh
  Density of Metal Forming Stress Field with Attention Mechanism and Perceptual
  Features
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
Hao Zhou
Xin-Jun Liu
AI4CE
26
1
0
12 Mar 2021
1