4D printing of high performance shape memory polymer using stereolithography

Choong, Yu Ying Clarrisa; Maleksaeedi, Saeed; Eng, Hengky; Wei, Jun; Su, Pei-Chen

doi:10.1016/j.matdes.2017.04.049

Cited by 270 publications

(160 citation statements)

References 27 publications

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“…It follows from (20) that the renormalized structure factor S(q)/N m is given by Eqs. (37) and (38) with F 0 (q) = 1. The last relation amounts to replacing the initiator by a point-like object with the δ-function density distribution.…”

Section: Small-angle Scattering From Mass Fractalsmentioning

confidence: 99%

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The structure of deterministic mass and surface fractals: theory and methods of analyzing small-angle scattering data

Cherny

Anitas

Osipov

et al. 2019

Phys. Chem. Chem. Phys.

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Small-angle scattering (SAS) of X-rays, neutrons or light from ensembles of randomly oriented and placed deterministic fractal structures are studied theoretically. In the standard analysis, a very few parameters can be determined from SAS data: the fractal dimension, and the lower and upper limits of the fractal range. The self-similarity of deterministic structures allows one to obtain additional characteristics of their spatial structures. The paper considers models which can describe accurately SAS from such structures. The developed models of deterministic fractals offer many advantages in describing fractal systems, including the possibility to extract additional structural information, an analytic description of SAS intensity, and effective computational algorithms. Generalized Cantor fractals and few of its variants are used as basic examples to illustrate the above concepts and to model physical samples with mass, surface, and multi-fractal structures. The differences between the deterministic and random fractal structures in analyzing SAS data are emphasized. Several limitations are identified in order to motivate future investigations of deterministic fractal structures.

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Section: Small-angle Scattering From Mass Fractalsmentioning

confidence: 99%

“…(a) Scattering intensity(38) (black solid line) and the renormalized structure factor S(q)/Nm (red solid line) for the fourth iteration of GMCF at scaling factor β = 0.4, and r0 = L/2, for which Dm = 1.51 . .…”

mentioning

confidence: 99%

The structure of deterministic mass and surface fractals: theory and methods of analyzing small-angle scattering data

Cherny

Anitas

Osipov

et al. 2019

Phys. Chem. Chem. Phys.

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“…Choong et al reported shape‐memory polymer based on tert‐butyl acrylate (tBA)‐ co ‐di(ethylene glycol) diacrylate (DEGDA) network. The overall DEGDA crosslinker concentration in tBA‐ g ‐DEGDA network affects the thermal properties and the resultant shape‐memory properties …”

Section: Recent Trends In Ceramic Robocastingmentioning

confidence: 99%

“…To achieve low T g , monomers such as 4‐hydroxybutyl acrylate and ethoxylated bisphenol A diacrylate are recommended . Furthermore, various other types of acrylate and methacrylate monomers used in shape‐memory polymer fabrication during 4D printing are potentially explored as the carrier for different kinds of ceramic fillers . The exploration of such shapeable ceramic green body in the near future will open up more opportunities to find a suitable combination toward self‐shapeable ceramic green body with geometrically complex structures, intricating fine feature while maintaining overall dense microstructures after sintering.…”

Section: Recent Trends In Ceramic Robocastingmentioning

confidence: 99%

Ceramic Robocasting: Recent Achievements, Potential, and Future Developments

2018

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Additive manufacturing (AM) of ceramic materials has attracted tremendous attention in recent years, due to its potential to fabricate suitable advanced ceramic structures for various engineering applications. Robocasting, a subset of ceramic AM, is an ideal technique for constructing fine and dense ceramic structures with geometrically complex morphology. With the freedom and convenience to deposit various materials within any 3D spatial position, ceramic robocasting opens up unlimited opportunities, which are otherwise hardly attainable from other AM techniques. Here, a summary of the recent progress on the fabrication of single and multi‐ceramic structures by robocasting is provided, as well as the prospects of achieving shapeable ceramic structures. The current challenges in ceramic robocasting and an outlook on its development, especially toward the fabrication of self‐shaping ceramic structures, are also discussed.

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“…14g). The self-assembled mailboxes designed by Miao et al, self-assembled flowers exhibited by Zhang et al, and self-assembled balls demonstrated by Ying were all deformed from 2D temporary shapes to 3D structures [117,123,124].…”

Section: Deformation Typesmentioning

confidence: 99%

Mechanical Models, Structures, and Applications of Shape-Memory Polymers and Their Composites

Xin

Liu

et al. 2019

Acta Mech. Solida Sin.

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Shape-memory polymers (SMPs) and their composite materials are stimuliresponsive materials that have the unique characteristics of lightweight, large deformation, variable stiffness, and biocompatibility. This paper reviews the research status of the mechanical models for SMPs, shape-memory nanocomposites and shape-memory polymer composites (SMPCs); it also introduces some spatially deployable structures, such as hinges, beams, and antennae based on SMPCs. In addition, the deformation types of 4D printing structures and the potential applications of this technology in robots and medical devices are also summarized.The mechanism of shape-memory cycles and the mechanical behavior of SMPs can be described by establishing thermomechanical models, which lay the theoretical foundations for the rational design of SMP structures. This section will focus on the constitutive models for SMPs, the micromechanical models of SMPNs, and the buckling behavior of SMPCs.

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4D printing of high performance shape memory polymer using stereolithography

Cited by 270 publications

References 27 publications

The structure of deterministic mass and surface fractals: theory and methods of analyzing small-angle scattering data

The structure of deterministic mass and surface fractals: theory and methods of analyzing small-angle scattering data

Ceramic Robocasting: Recent Achievements, Potential, and Future Developments

Mechanical Models, Structures, and Applications of Shape-Memory Polymers and Their Composites

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