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of 42
pro vyhledávání: '"Mirzendehdel, Amir M."'
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing
Autor:
Iyer, Naresh S., Mirzendehdel, Amir M., Raghavan, Sathyanarayanan, Jiao, Yang, Ulu, Erva, Behandish, Morad, Nelaturi, Saigopal, Robinson, Dean M.
In this paper, we propose PATO-a producibility-aware topology optimization (TO) framework to help efficiently explore the design space of components fabricated using metal additive manufacturing (AM), while ensuring manufacturability with respect to
Externí odkaz:
http://arxiv.org/abs/2112.04552
Metal additive manufacturing (AM) processes often fabricate a near-net shape that includes the as-designed part as well as the sacrificial support structures that need to be machined away by subtractive manufacturing (SM), for instance multi-axis mac
Externí odkaz:
http://arxiv.org/abs/2108.02829
Publikováno v:
Computers and Graphics (2021)
Parts fabricated by additive manufacturing (AM) are often fabricated first as a near-net shape, a combination of intended nominal geometry and sacrificial support structures, which need to be removed in a subsequent post-processing stage using subtra
Externí odkaz:
http://arxiv.org/abs/2107.07686
In this paper, we present a topology optimization (TO) framework to enable automated design of mechanical components while ensuring the result can be manufactured using multi-axis machining. Although TO improves the part's performance, the as-designe
Externí odkaz:
http://arxiv.org/abs/2002.07627
Publikováno v:
In Computer-Aided Design October 2023 163
Publikováno v:
In Computer-Aided Design October 2023 163
Publikováno v:
Journal of Computer-Aided Design, 2019
We demonstrate an approach of exploring design spaces to simultaneously satisfy kinematics- and physics-based requirements. We present a classification of constraints and solvers to enable postponing optimization as far down the design workflow as po
Externí odkaz:
http://arxiv.org/abs/1907.01117
Publikováno v:
Journal of Computer-Aided Design, 2019
Additive manufacturing (AM) enables enormous freedom for design of complex structures. However, the process-dependent limitations that result in discrepancies between as-designed and as-manufactured shapes are not fully understood. The tradeoffs betw
Externí odkaz:
http://arxiv.org/abs/1904.13210
Publikováno v:
Journal of Computer-Aided Design, 2019
An additive manufacturing (AM) process often produces a {\it near-net} shape that closely conforms to the intended design to be manufactured. It sometimes contains additional support structure (also called scaffolding), which has to be removed in pos
Externí odkaz:
http://arxiv.org/abs/1904.12117
Publikováno v:
In Computer-Aided Design January 2022 142