83 citations · 287 across the 11 of their papers we have counts for
5 papers · 1 filter
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing
Naresh S. Iyer, Amir M. Mirzendehdel, Sathyanarayanan Raghavan +5
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…
Topology Optimization for Manufacturing with Accessible Support Structures
Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
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 machin…
Optimizing Build Orientation for Support Removal using Multi-Axis Machining
Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
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…
Sliding Basis Optimization for Heterogeneous Material Design
Nurcan Gecer Ulu, Svyatoslav Korneev, Erva Ulu +1
We present the sliding basis computational framework to automatically synthesize heterogeneous (graded or discrete) material fields for parts designed using constrained optimizatio…
Topology Optimization with Accessibility Constraint for Multi-Axis Machining
Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
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…