[HTML][HTML] A systematic review of design for additive manufacturing of aerospace lattice structures: Current trends and future directions
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) …
strength-to-weight ratio. The current advancement in Additive manufacturing (AM) …
Biomimicry for 3D concrete printing: A review and perspective
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 …
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
This research focuses on the multiscale topology optimization (TO) of structures to meet
stress, stability, and vibration requirements. The compliance minimization problems of …
stress, stability, and vibration requirements. The compliance minimization problems of …
Concurrent topology optimization of coated structure for non-homogeneous materials under buckling criteria
This study used an adaptive mapping technique to examine multiscale bucking optimal
topology for structural coating. The adaptive geometric components (AGCs) include a …
topology for structural coating. The adaptive geometric components (AGCs) include a …
Dynamic-constrained multi-material topology optimization under heat flux and thermal–mechanical loading
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 …
which can lead to stability failure. Improving the stability of the structures is needed to keep …
Data-driven geometry-based topology optimization
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 …
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
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 …
optimization with a significantly higher accuracy. Ideally, with an adequate computation time …
Robust multiscale design of incompressible multi-materials under loading uncertainties
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 …
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
This paper presents a structural topology optimization method using moving wide Bezier
components with constrained ends. In the proposed method, components which are …
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 …
the manufacturing of high-strength and lightweight microstructures. Utilizing AM, it is …