Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …
applications in design and manufacturing of more environment-friendly and more …
[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Inverting the structure–property map of truss metamaterials by deep learning
Inspired by crystallography, the periodic assembly of trusses into architected materials has
enjoyed popularity for more than a decade and produced countless cellular structures with …
enjoyed popularity for more than a decade and produced countless cellular structures with …
Data‐Driven Design for Metamaterials and Multiscale Systems: A Review
Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …
go beyond those found in nature. Composed of unit cells with rich designability that are …
Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects
Abstract Mechanical Metamaterials (MMs) are artificially designed structures with
extraordinary properties that are dependent on micro architectures and spatial tessellations …
extraordinary properties that are dependent on micro architectures and spatial tessellations …
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 …
A novel design framework for generating functionally graded multi-morphology lattices via hybrid optimization and blending methods
Owing to its excellent mechanical properties, triply periodic minimum surfaces (TPMS) lattice
structures have recently gained more interest in engineering applications. The superior …
structures have recently gained more interest in engineering applications. The superior …
Applications of multi-fidelity multi-output Kriging to engineering design optimization
DJJ Toal - Structural and Multidisciplinary Optimization, 2023 - Springer
Surrogate modelling is a popular approach for reducing the number of high fidelity
simulations required within an engineering design optimization. Multi-fidelity surrogate …
simulations required within an engineering design optimization. Multi-fidelity surrogate …
Graded multiscale topology optimization using neural networks
In this paper, we propose a novel graded multiscale topology optimization framework by
exploiting the unique classification capacity of neural networks. The salient features of this …
exploiting the unique classification capacity of neural networks. The salient features of this …
IH-GAN: A conditional generative model for implicit surface-based inverse design of cellular structures
Variable-density cellular structures can overcome connectivity and manufacturability issues
of topologically optimized structures, particularly those represented as discrete density …
of topologically optimized structures, particularly those represented as discrete density …