Multiscale concurrent topology optimization of hierarchal multi-morphology lattice structures
This paper proposes a multiscale concurrent topology optimization method for design of
hierarchal multi-morphology lattice structures (HMMLSs), which features in the Kriging …
hierarchal multi-morphology lattice structures (HMMLSs), which features in the Kriging …
[HTML][HTML] Additive Manufacturing-Enabled Advanced Design and Process Strategies for Multi-Functional Lattice Structures
The properties of each lattice structure are a function of four basic lattice factors, namely the
morphology of the unit cell, its tessellation, relative density, and the material properties. The …
morphology of the unit cell, its tessellation, relative density, and the material properties. The …
[HTML][HTML] Inverse design of 3D cellular materials with physics-guided machine learning
M Abu-Mualla, J Huang - Materials & Design, 2023 - Elsevier
This paper investigates the feasibility of data-driven methods in automating the engineering
design process, specifically studying inverse design of cellular mechanical metamaterials …
design process, specifically studying inverse design of cellular mechanical metamaterials …
Neural network-assisted design: a study of multiscale topology optimization with smoothly graded cellular structures
S Rastegarzadeh, J Wang… - Journal of …, 2023 - asmedigitalcollection.asme.org
Integration of machine learning (ML) with topology optimization (TO) has been attempted in
many works. However, most works employ ML in a data-driven paradigm, which requires …
many works. However, most works employ ML in a data-driven paradigm, which requires …