New trends in 4D printing: a critical review

S Vatanparast, A Boschetto, L Bottini, P Gaudenzi - Applied Sciences, 2023 - mdpi.com
In a variety of industries, Additive Manufacturing has revolutionized the whole design–
fabrication cycle. Traditional 3D printing is typically employed to produce static components …

[HTML][HTML] Understanding the role of process parameters in 4D printing: A review

L Ren, Z Wang, L Ren, C Xu, B Li, Y Shi… - Composites Part B …, 2023 - Elsevier
Abstract 4D printing was initially defined as multi-material 3D printing that can produce pre-
programmed shape changes under external stimuli over time. Thus extensive research …

Machine learning-enabled forward prediction and inverse design of 4D-printed active plates

X Sun, L Yue, L Yu, CT Forte, CD Armstrong… - Nature …, 2024 - nature.com
Shape transformations of active composites (ACs) depend on the spatial distribution of
constituent materials. Voxel-level complex material distributions can be encoded by 3D …

4D printing roadmap

M Bodaghi, L Wang, F Zhang, Y Liu… - Smart materials and …, 2024 - iopscience.iop.org
Abstract Four-dimensional (4D) printing is an advanced manufacturing technology that has
rapidly emerged as a transformative tool with the capacity to reshape various research …

Mechanism and manufacturing of 4D printing: derived and beyond the combination of 3D printing and shape memory material

P Feng, F Yang, J Jia, J Zhang, W Tan… - International Journal of …, 2024 - iopscience.iop.org
Abstract Four-dimensional (4D) printing is regarded as a methodology that links 3D printing
to time, which is characterized by the evolution of predetermined structures or functions for …

Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites

K Tang, Y Xiang, J Tian, J Hou, X Chen, X Wang… - International Journal of …, 2024 - Elsevier
Kirigami-inspired designs hold great potential for the development of functional materials
and devices, but predicting the morphological configuration of these structures under …

Machine learning driven forward prediction and inverse design for 4D printed hierarchical architecture with arbitrary shapes

L Jin, S Yu, J Cheng, H Ye, X Zhai, J Jiang… - Applied Materials …, 2024 - Elsevier
The forward prediction and inverse design of 4D printing have primarily focused on 2D
rectangular surfaces or plates, leaving the challenge of 4D printing parts with arbitrary …

Perspective: Machine learning in design for 3D/4D printing

X Sun, K Zhou, F Demoly… - Journal of Applied …, 2024 - asmedigitalcollection.asme.org
Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …

Inverse design of magneto-active metasurfaces and robots: Theory, computation, and experimental validation

C Wang, Z Zhao, XS Zhang - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
Magneto-active structures can undergo rapid and reversible deformations under untethered
magnetic fields. The capability to design such structures to achieve programmable shape …

[HTML][HTML] Optimization of 4D/3D printing via machine learning: A systematic review

YA Alli, H Anuar, MR Manshor, CE Okafor… - Hybrid Advances, 2024 - Elsevier
This systematic review explores the integration of 4D/3D printing technologies with machine
learning, shaping a new era of manufacturing innovation. The analysis covers a wide range …