[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L **, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects

J Gao, X Cao, M **ao, Z Yang, X Zhou, Y Li… - Materials Science and …, 2023 - Elsevier
Abstract Mechanical Metamaterials (MMs) are artificially designed structures with
extraordinary properties that are dependent on micro architectures and spatial tessellations …

Deep generative modeling for mechanistic-based learning and design of metamaterial systems

L Wang, YC Chan, F Ahmed, Z Liu, P Zhu… - Computer Methods in …, 2020 - Elsevier
Metamaterials are emerging as a new paradigmatic material system to render
unprecedented and tailorable properties for a wide variety of engineering applications …

A deep learning approach for inverse design of gradient mechanical metamaterials

Q Zeng, Z Zhao, H Lei, P Wang - International Journal of Mechanical …, 2023 - Elsevier
Mechanical metamaterials with unique micro-architectures possess excellent physical
properties in terms of stiffness, toughness, vibration isolation, and thermal expansion …

Design, mechanical properties, and optimization of BCC lattice structures with taper struts

M Zhao, DZ Zhang, Z Li, T Zhang, H Zhou, Z Ren - Composite Structures, 2022 - Elsevier
The fractures of lattice structures are mainly near the nodes during loading due to the stress
concentration, resulting in low mechanical properties. In this study, a novel parametric …

Design for additive manufacturing: A systematic review

A Alfaify, M Saleh, FM Abdullah, AM Al-Ahmari - Sustainability, 2020 - mdpi.com
The last few decades have seen rapid growth in additive manufacturing (AM) technologies.
AM has implemented a novel method of production in design, manufacture, and delivery to …

Concurrent topology optimization of multiscale composite structures in Matlab

J Gao, Z Luo, L **a, L Gao - Structural and Multidisciplinary Optimization, 2019 - Springer
This paper presents the compact and efficient Matlab codes for the concurrent topology
optimization of multiscale composite structures not only in 2D scenario but also considering …

Concurrent design of hierarchical structures with three-dimensional parameterized lattice microstructures for additive manufacturing

C Wang, X Gu, J Zhu, H Zhou, S Li, W Zhang - Structural and …, 2020 - Springer
In this work, a novel design and modeling method is proposed to obtain hierarchical
structures with non-uniform lattice microstructures based on density-based topology …

Two-scale topology optimisation of cellular materials under mixed boundary conditions

G Bertolino, M Montemurro - International Journal of Mechanical Sciences, 2022 - Elsevier
This work proposes a theoretical/numerical framework for the topology optimisation of
anisotropic architected cellular materials at different scales. In particular, the topological …

Two-scale concurrent topology optimization of lattice structures with connectable microstructures

P Liu, Z Kang, Y Luo - Additive Manufacturing, 2020 - Elsevier
Two-scale concurrent design of lattice material microstructures and their macroscale
distributions can effectively enlarge the design space, and thus achieve lightweight …