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pro vyhledávání: '"Attar, Hamid Reza"'
Mechanics-related problems often present unique challenges in achieving accurate geometric and physical representations, particularly for non-uniform structures. Graph neural networks (GNNs) have emerged as a promising tool to tackle these challenges
Externí odkaz:
http://arxiv.org/abs/2407.11060
The latest sheet stamping processes enable efficient manufacturing of complex shape structural components that have high stiffness to weight ratios, but these processes can introduce defects. To assist component design for stamping processes, this pa
Externí odkaz:
http://arxiv.org/abs/2202.03422
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. However, the unfamiliarity of designing for the new process prevents
Externí odkaz:
http://arxiv.org/abs/2104.13199
Publikováno v:
In Engineering Applications of Artificial Intelligence August 2023 123 Part B
Publikováno v:
In Engineering Applications of Artificial Intelligence August 2023 123 Part C
Publikováno v:
In Materials & Design September 2021 207
Publikováno v:
In Journal of Manufacturing Processes August 2021 68 Part A:1650-1671
Akademický článek
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Autor:
Qingfeng Xu, Zhenguo Nie, Handing Xu, Haosu Zhou, Attar, Hamid Reza, Nan Li, Fugui Xie, Xin-Jun Liu
Publikováno v:
Journal of Applied Mechanics; Jan2022, Vol. 89 Issue 1, p1-10, 10p
Publikováno v:
In MethodsX 2021 8