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researcher

H. Attar

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDevelopment of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 3 cited

Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints

Hamid Reza Attar, Alistair Foster, Nan Li

The latest sheet stamping processes enable efficient manufacturing of complex shape structural components that have high stiffness to weight ratios, but these processes can introdu…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.