Overview of methods and software for the design of functionally graded lattice structures

F Veloso, J Gomes-Fonseca, P Morais… - Advanced …, 2022 - Wiley Online Library
Lattice structures are known for their superior performance in weight reduction, stiffness, and
increased manufacturability, but when materials need to be adaptive, multifunctional, and …

Generative pre-trained transformer for design concept generation: an exploration

Q Zhu, J Luo - Proceedings of the design society, 2022 - cambridge.org
Novel concepts are essential for design innovation and can be generated with the aid of
data stimuli and computers. However, current generative design algorithms focus on …

Generative transformers for design concept generation

Q Zhu, J Luo - Journal of Computing and Information …, 2023 - asmedigitalcollection.asme.org
Generating novel and useful concepts is essential during the early design stage to explore a
large variety of design opportunities, which usually requires advanced design thinking ability …

Recent Advancements in Design Optimization of Lattice‐Structured Materials

A Almesmari, AN Alagha, MM Naji… - Advanced …, 2023 - Wiley Online Library
Metamaterials, also known as lattice‐structured materials, imitate the multifunctionality of
natural architects as tailoring their physical properties is associated with manipulating their …

Deep Learning for Size‐Agnostic Inverse Design of Random‐Network 3D Printed Mechanical Metamaterials

H Pahlavani, K Tsifoutis‐Kazolis… - Advanced …, 2024 - Wiley Online Library
Practical applications of mechanical metamaterials often involve solving inverse problems
aimed at finding microarchitectures that give rise to certain properties. The limited resolution …

Generative design: reframing the role of the designer in early-stage design process

JI Saadi, MC Yang - Journal of Mechanical Design, 2023 - asmedigitalcollection.asme.org
Generative design tools empowered by recent advancements in artificial intelligence (AI)
offer the opportunity for human designers and design tools to collaborate in new, more …

Generative design by reinforcement learning: enhancing the diversity of topology optimization designs

S Jang, S Yoo, N Kang - Computer-Aided Design, 2022 - Elsevier
Generative design refers to computational design methods that can automatically conduct
design exploration under constraints defined by designers. Among many approaches …

[HTML][HTML] Performance-driven engineering design approaches based on generative design and topology optimization tools: A comparative study

L Barbieri, M Muzzupappa - Applied Sciences, 2022 - mdpi.com
The advent of Additive Manufacturing (AM) is uncovering the limits of the current CAD
systems and, at the same time, is highlighting the potentials of the Topology Optimization …

[HTML][HTML] Enhancing design for additive manufacturing workflow: Optimization, design and simulation tools

NA Sbrugnera Sotomayor, F Caiazzo, V Alfieri - Applied Sciences, 2021 - mdpi.com
In the last few decades, complex light-weight designs have been successfully produced via
additive manufacturing (AM), launching a new era in the thinking–design process. In …

[HTML][HTML] The design of a lightweight cable aerial manipulator with a cog compensation mechanism for construction inspection purposes

A AlAkhras, IH Sattar, M Alvi, MW Qanbar, MA Jaradat… - Applied Sciences, 2022 - mdpi.com
Conventionally, aerial manipulators, when used for inspection, use drone rotors to stabilize
the center of gravity (CoG) shifts, which highly affects its performance. This paper discusses …