Current and future trends in topology optimization for additive manufacturing
Manufacturing-oriented topology optimization has been extensively studied the past two
decades, in particular for the conventional manufacturing methods, for example, machining …
decades, in particular for the conventional manufacturing methods, for example, machining …
Three decades of auxetics research− materials with negative Poisson's ratio: a review
Material properties can be tailored through modification of their geometry or architecture.
With this concept, a lot of smart materials, metamaterials, and smart structures have been …
With this concept, a lot of smart materials, metamaterials, and smart structures have been …
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …
metamaterials—truss lattices being their most prominent class. While their tailorable …
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 …
Deep generative modeling for mechanistic-based learning and design of metamaterial systems
Metamaterials are emerging as a new paradigmatic material system to render
unprecedented and tailorable properties for a wide variety of engineering applications …
unprecedented and tailorable properties for a wide variety of engineering applications …
Infill optimization for additive manufacturing—approaching bone-like porous structures
Porous structures such as trabecular bone are widely seen in nature. These structures are
lightweight and exhibit strong mechanical properties. In this paper, we present a method to …
lightweight and exhibit strong mechanical properties. In this paper, we present a method to …
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 …
[HTML][HTML] Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy
We present a two-scale topology optimization framework for the design of macroscopic
bodies with an optimized elastic response, which is achieved by means of a spatially-variant …
bodies with an optimized elastic response, which is achieved by means of a spatially-variant …
A review of 3D‐printable soft pneumatic actuators and sensors: research challenges and opportunities
The soft robotics field is changing the way people think, build, interact, and most importantly
perceive robots. Robots have long been perceived as machines made of metals that their …
perceive robots. Robots have long been perceived as machines made of metals that their …
Growth rules for irregular architected materials with programmable properties
Biomaterials display microstructures that are geometrically irregular and functionally
efficient. Understanding the role of irregularity in determining material properties offers a …
efficient. Understanding the role of irregularity in determining material properties offers a …