[HTML][HTML] A review of topology optimization for additive manufacturing: Status and challenges
ZHU Jihong, Z Han, W Chuang, Z Lu… - Chinese Journal of …, 2021 - Elsevier
Topology optimization was developed as an advanced structural design methodology to
generate innovative lightweight and high-performance configurations that are difficult to …
generate innovative lightweight and high-performance configurations that are difficult to …
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 …
A review on optimization of composite structures Part II: Functionally graded materials
Functionally Graded (FG) structures are a novel design through which the material
properties vary smoothly and this feature leads these structures to have better mechanical or …
properties vary smoothly and this feature leads these structures to have better mechanical or …
A multi-material level set-based topology and shape optimization method
This paper proposes a new Multi-Material Level Set (MM-LS) topology description model for
topology and shape optimization of structures involving multiple materials. Each phase is …
topology and shape optimization of structures involving multiple materials. Each phase is …
Optimisation of functionally graded lattice structures using isostatic lines
Functionally graded lattice core structures show a gradual and localised variation in their
mechanical properties with the aim of improving structural performance whilst minimising …
mechanical properties with the aim of improving structural performance whilst minimising …
Machine learning-combined topology optimization for functionary graded composite structure design
This study presents new framework in which the representative volume element (RVE)
method and machine learning (ML) model are used to construct continuous anisotropic …
method and machine learning (ML) model are used to construct continuous anisotropic …
Design and additive manufacture of functionally graded structures based on digital materials
Voxel-based multimaterial jetting additive manufacturing allows fabrication of digital
materials (DMs) at the meso-scale (∼ 1 mm) by controlling the deposition patterns of soft …
materials (DMs) at the meso-scale (∼ 1 mm) by controlling the deposition patterns of soft …
[HTML][HTML] Minimizing the maximum von Mises stress of elastic continuum structures using topology optimization and additively manufactured functionally graded …
The rising cost of natural resources and environmental concerns motivate systematic design
and manufacture of more efficient structures. For that purpose, topology optimization has …
and manufacture of more efficient structures. For that purpose, topology optimization has …
Topology optimization of functionally graded anisotropic composite structures using homogenization design method
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 …
for structural topology, stiff material (ie fiber) layout, and its orientations in functionally …
3-d topology optimization of modulated and oriented periodic microstructures by the homogenization method
This paper is motivated by the optimization of so-called lattice materials which are becoming
increasingly popular in the context of additive manufacturing. Generalizing our previous …
increasingly popular in the context of additive manufacturing. Generalizing our previous …