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Progress and opportunities for machine learning in materials and processes of additive manufacturing
In recent years, there has been widespread adoption of machine learning (ML) technologies
to unravel intricate relationships among diverse parameters in various additive …
to unravel intricate relationships among diverse parameters in various additive …
[HTML][HTML] Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …
structures. As of late, composite materials analysis and development utilizing machine …
Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of …
Abstract Machine learning (ML) has been recognized by researchers in the architecture,
engineering, and construction (AEC) industry but undermined in practice by (i) complex …
engineering, and construction (AEC) industry but undermined in practice by (i) complex …
[HTML][HTML] Elastic properties of an additive manufactured three-dimensional vertex-based hierarchical re-entrant structure
This work proposes a new auxetic lattice based on replacing the vertexes of traditional three-
dimensional re-entrant structural with self-similar configurations. Derived by Castigliano's …
dimensional re-entrant structural with self-similar configurations. Derived by Castigliano's …
Integrating experiments, finite element analysis, and interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials
Metamaterials have received extensive attention in fundamental and applied research over
the past two decades due to their unique mechanical behavior. This paper presents an …
the past two decades due to their unique mechanical behavior. This paper presents an …
[HTML][HTML] A review of performance prediction based on machine learning in materials science
Z Fu, W Liu, C Huang, T Mei - Nanomaterials, 2022 - mdpi.com
With increasing demand in many areas, materials are constantly evolving. However, they
still have numerous practical constraints. The rational design and discovery of new materials …
still have numerous practical constraints. The rational design and discovery of new materials …
[HTML][HTML] Additively manufactured hierarchical auxetic mechanical metamaterials
Due to the ability to create structures with complex geometry at micro-and nanoscales,
modern additive technologies make it possible to produce artificial materials (metamaterials) …
modern additive technologies make it possible to produce artificial materials (metamaterials) …
[HTML][HTML] Printing path-dependent two-scale models for 3D printed planar auxetics by material extrusion
One particularly interesting class of mechanical metamaterials are those having a negative
Poisson's ratio, which are referred to as 'auxetics'. Because of their geometrical complexity …
Poisson's ratio, which are referred to as 'auxetics'. Because of their geometrical complexity …
A novel buckling-induced planner isotropic auxetic meta-structure and its application in BRB: a numerical study
Abstract Recently, anti-tetra-chiral-type bulking-induced auxetic meta-structure (generated
by arraying periodic orthogonal elongated holes onto a sheet structure) was proved to …
by arraying periodic orthogonal elongated holes onto a sheet structure) was proved to …
[HTML][HTML] FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties
heavily influenced by their underlying geometry and base material properties. While periodic …
heavily influenced by their underlying geometry and base material properties. While periodic …