no code implementations • 11 May 2023 • Randi Wang, Morad Behandish
Engineering design often involves representation in at least two levels of abstraction: the system-level, represented by lumped parameter models (LPMs), and the geometric-level, represented by distributed parameter models (DPMs).
no code implementations • 24 May 2022 • George P. Harabin, Morad Behandish
We present a general framework for identifying AM/SM actions that make up an HM process plan based on accessibility and support requirements, using morphological operations that allow for arbitrary part and tool geometries to be considered.
no code implementations • 7 May 2022 • Aaditya Chandrasekhar, Amir Mirzendehdel, Morad Behandish, Krishnan Suresh
In contrast, we propose a mesh-independent representation based on a neural network (NN) both to capture the matrix topology and fiber distribution.
no code implementations • 2 Feb 2022 • Morad Behandish, John Maxwell III, Johan de Kleer
Artificial intelligence (AI) has been increasingly applied in scientific activities for decades; however, it is still far from an insightful and trustworthy collaborator in the scientific process.
no code implementations • 2 Feb 2022 • Søren Taverniers, Svyatoslav Korneev, Kyle M. Pietrzyk, Morad Behandish
Predicting part quality for additive manufacturing (AM) processes requires high-fidelity numerical simulation of partial differential equations (PDEs) governing process multiphysics on a scale of minimum manufacturable features.
no code implementations • 2 Feb 2022 • Randi Wang, Morad Behandish
The latter generates interpretable surrogate models by fitting artificial constitutive relations to a presupposed topological structure using experimental or simulation data.
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 • 18 May 2018 • Morad Behandish, Saigopal Nelaturi, Johan de Kleer
A multimodal HM process plan is represented by a finite Boolean expression of AM and SM manufacturing primitives, such that the expression evaluates to an 'as-manufactured' artifact.
no code implementations • 1 Dec 2017 • Morad Behandish, Horea T. Ilies
The basic problem of shape complementarity analysis appears fundamental to applications as diverse as mechanical design, assembly automation, robot motion planning, micro- and nano-fabrication, protein-ligand binding, and rational drug design.
no code implementations • 14 Nov 2017 • Morad Behandish, Zheng Yi Wu
In spite of the growing computational power offered by the commodity hardware, fast pump scheduling of complex water distribution systems is still a challenge.