Speaker
Aidan Sheedy
(Queen's University)
Description
The advent of additive manufacturing techniques offers the ability and potential to (literally) reshape our manufactured- and built environment. However, key issues, including questions about robustness, impede the use of additive manufacturing at scale. In this talk, we present a high-performance code that extends topology optimization, the leading paradigm for additive manufacturing design, via a novel Pareto-Laplace filter. This filter has the key property that it couples the physical behaviour of actual, physical products to analogues of physical processes that occur in the space of possible design solutions. We show that the solution space "physics" gives insight into key questions about robust design.
| Keyword-1 | Additive manufacturing |
|---|---|
| Keyword-2 | Computational physics |
| Keyword-3 | Molecular dynamics |
Authors
Aidan Sheedy
(Queen's University)
Hazhir Aliahmadi
(Queen's University)
Greg van Anders
