With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm
shift in engineering fields including material science. The integration of AI and machine …

Topology Optimization (TO) recently gained importance due to the development of Additive
Manufacturing (AM) processes that produce components with good mechanical properties …

This study presents new framework in which the representative volume element (RVE)
method and machine learning (ML) model are used to construct continuous anisotropic …

This study develops a novel procedure combining topological design and fibre placement
paths based on average load transmission trajectories for high load-bearing capacity of 3D …

This study proposes a systematic inverse design framework for constructing multistable
mechanical metamaterials with programmable gradients. Herein, we designed the tailored …

In this paper, a topology optimization framework for continuous composite fiber three-
dimensional (3D) printing is presented. The problem of compliance minimization with …

This work proposes a novel framework able to optimise both topology and fibre angle
concomitantly to minimise the compliance of a structure. Two different materials are …

This paper proposes a topology optimization method that is capable of simultaneous design
for structural topology, stiff material (ie fiber) layout, and its orientations in functionally …

Abstract Additive manufacturing (AM), or 3D printing, has the ability to create complicated
structures that cannot be produced using traditional manufacturing methods. However, these …

Turing patterns are self-organizing stripes or spots widely found in biological systems and
nature. Although inspiring, their applications are limited. Inflatable shape-morphing …