8 papers
CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
Ghadi Nehme, Eamon Whalen, Faez Ahmed
Despite recent progress, recovering parametric CAD construction sequences from geometric input, such as meshes or point clouds, is a key challenge for design and manufacturing, as…
TO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
Isabella A. Stewart, Hongrui Chen, Faez Ahmed
Topology optimization can generate efficient structures, but designers often must manually translate qualitative intent, such as desired visual style, product experience, or manufa…
BlendedNet++: A dataset and benchmark for field-resolved aerodynamics and inverse design of blended wing body aircraft
Nicholas Sung, Steven Spreizer, Mohamed Elrefaie +2
The conceptual design of Blended Wing Body (BWB) aircraft is often constrained by the high computational cost of resolving complex aerodynamics over a high-dimensional design space…
FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition
Kittipong Thiamchaiboonthawee, Ghadi Nehme, Ram Mohan Telikicherla +5
Directed energy deposition (DED) produces complex thermo-mechanical responses that can lead to distortion and reduced dimensional accuracy of a manufactured part. Thermo-mechanical…
TopoCtrl: Post-Optimization Topology Editing Toward Target Structural Characteristics
Hongrui Chen, Dat Quoc Ha, Josephine V. Carstensen +1
Topology optimization can generate high-performance structures, but designers often need to revise the resulting topology in ways that reflect fabrication preferences, structural i…
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
Rosen Ting-Ying Yu, Cyril Picard, Faez Ahmed
Bayesian optimization (BO) struggles in high dimensions, where Gaussian-process surrogates demand heavy retraining and brittle assumptions, slowing progress on real engineering and…