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PATO: Producibility-Aware Topology Optimization using Deep Learning for
  Metal Additive Manufacturing

PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing

8 December 2021
Naresh S. Iyer
Amir M. Mirzendehdel
S. Raghavan
Yang Jiao
Erva Ulu
M. Behandish
S. Nelaturi
D. Robinson
    AI4CE
ArXivPDFHTML

Papers citing "PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing"

2 / 2 papers shown
Title
Advancing Additive Manufacturing through Deep Learning: A Comprehensive
  Review of Current Progress and Future Challenges
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
Amirul Islam Saimon
Emmanuel Yangue
Xiaowei Yue
Zhenyu Kong
Chenang Liu
AI4CE
19
4
0
01 Mar 2024
Concurrent build direction, part segmentation, and topology optimization
  for additive manufacturing using neural networks
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks
Hongrui Chen
Aditya Joglekar
Kate S. Whitefoot
L. Kara
3DPC
64
11
0
04 Oct 2022
1