Hamid Reza Attar

Rapid feasibility assessment of components to be formed through hot stamping: A deep learning approach

Hamid Reza Attar, Haosu Zhou, Alistair Foster et al. · Journal of Manufacturing Processes · 2021 · 39 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +7

A new design guideline development strategy for aluminium alloy corners formed through cold and hot stamping processes

Hamid Reza Attar, Nan Li, Alistair Foster · Materials & Design · 2021 · 24 citations · Full text

Aluminium Alloy Corners, Recent Sheet Metal, Engineering +20

Deformation and thinning field prediction for HFQ® formed panel components using convolutional neural networks

Hamid Reza Attar, Hongping Zhou, Nan Li · IOP Conference Series Materials Science and Engineering · 2021 · 17 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation

Qingfeng Xu, Zhenguo Nie, Handing Xu et al. · Journal of Applied Mechanics · 2021 · 17 citations

Engineering, Mechanical Engineering, Material Simulation +17

Development of a Deep Learning Platform for Sheet Stamping Geometry Optimisation under Manufacturing Constraints

Hamid Reza Attar, Alistair Foster, Nan Li · Engineering Applications of Artificial Intelligence · 2023 · 13 citations · Full text

Sheet Stamping, Engineering, Machine Learning +22