no code implementations • 8 Dec 2021 • Naresh S. Iyer, Amir M. Mirzendehdel, Sathyanarayanan Raghavan, Yang Jiao, Erva Ulu, Morad Behandish, Saigopal Nelaturi, Dean M. Robinson
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 cracking.
no code implementations • 19 Feb 2021 • Erva Ulu, Nurcan Gecer Ulu, Jiahao Li, Walter Hsiao
Combined with the build orientation optimization, Curvy provides a practical solution to the design of support structures with minimal perceptual or functional impact on the target part to be printed.
Graphics Computational Geometry
no code implementations • 25 Jun 2019 • Erva Ulu, James McCann, Levent Burak Kara
We introduce a method to design lightweight shell objects that are structurally robust under the external forces they may experience during use.
no code implementations • 1 Nov 2018 • Erva Ulu
The ability to accurately quantify the performance an additively manufactured (AM) product is important for a widespread industry adoption of AM as the design is required to: (1) satisfy geometrical constraints, (2) satisfy structural constraints dictated by its intended function, and (3) be cost effective compared to traditional manufacturing methods.
no code implementations • 25 Oct 2018 • Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara
Our approach uses a computationally tractable experimental design method to select number of sample force locations based on geometry only, without inspecting the stress response that requires computationally expensive finite-element analysis.