[HTML][HTML] A systematic review of design for additive manufacturing of aerospace lattice structures: Current trends and future directions

N Khan, A Riccio - Progress in Aerospace Sciences, 2024 - Elsevier
Lattice structures, produced by repeated unit cells in the particular pattern, offer a high
strength-to-weight ratio. The current advancement in Additive manufacturing (AM) …

Biomimicry for 3D concrete printing: A review and perspective

A Du Plessis, AJ Babafemi, SC Paul, B Panda… - Additive …, 2021 - Elsevier
Three-dimensional concrete printing (3DCP) is an exciting new manufacturing paradigm for
the construction industry. As this technology continues to grow and develop, it is revealing …

Multiscale topology optimization with stress, buckling and dynamic constraints using adaptive geometric components

MN Nguyen, VN Hoang, D Lee - Thin-Walled Structures, 2023 - Elsevier
This research focuses on the multiscale topology optimization (TO) of structures to meet
stress, stability, and vibration requirements. The compliance minimization problems of …

Concurrent topology optimization of coated structure for non-homogeneous materials under buckling criteria

NM Ngoc, VN Hoang, D Lee - Engineering with Computers, 2022 - Springer
This study used an adaptive mapping technique to examine multiscale bucking optimal
topology for structural coating. The adaptive geometric components (AGCs) include a …

Dynamic-constrained multi-material topology optimization under heat flux and thermal–mechanical loading

MN Nguyen, J Kang, S Shin, D Lee - Thin-Walled Structures, 2023 - Elsevier
In practice, the structures are often simultaneously related to thermal and mechanical loads,
which can lead to stability failure. Improving the stability of the structures is needed to keep …

Data-driven geometry-based topology optimization

VN Hoang, NL Nguyen, DQ Tran, QV Vu… - Structural and …, 2022 - Springer
In this paper, a simple deep learning network (DLN) based on the geometry parameters of
moving morphable bars (MMBs) was proposed for the data-driven optimal topology …

Accurate and real-time structural topology prediction driven by deep learning under moving morphable component-based framework

S Zheng, H Fan, Z Zhang, Z Tian, K Jia - Applied Mathematical Modelling, 2021 - Elsevier
In the present work, we intended to discuss how to achieve real-time structural topology
optimization with a significantly higher accuracy. Ideally, with an adequate computation time …

Robust multiscale design of incompressible multi-materials under loading uncertainties

VN Hoang, T Pham, D Ho, H Nguyen-Xuan - Engineering with Computers, 2022 - Springer
Most of the multiscale topology optimization (TO) approaches, which have been proposed
for multi-material designs, are based on the assumption of deterministic loads and the …

Explicit structural topology optimization using moving wide Bezier components with constrained ends

B Zhu, R Wang, N Wang, H Li, X Zhang… - Structural and …, 2021 - Springer
This paper presents a structural topology optimization method using moving wide Bezier
components with constrained ends. In the proposed method, components which are …

[HTML][HTML] Infill microstructures for additive manufacturing

I Ntintakis, GE Stavroulakis - Applied Sciences, 2022 - mdpi.com
Additive Manufacturing (AM) is a well-known and rapidly advancing method, especially in
the manufacturing of high-strength and lightweight microstructures. Utilizing AM, it is …