9 citations · 18 across the 7 of their papers we have counts for
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cs.CE2021
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach
Hamid Reza Attar, Haosu Zhou, Alistair Foster +1
The novel non-isothermal Hot Forming and cold die Quenching (HFQ) process can enable the cost-effective production of complex shaped, high strength aluminium alloy panel components…
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…
cs.CE2020
Accelerated computational micromechanics
Hao Zhou, Kaushik Bhattacharya
We present an approach to solving problems in micromechanics that is amenable to massively parallel calculations through the use of graphical processing units and other accelerator…