Geometric design of 4D printed bilayer structures for accurate folding deformation

Liu, Han; Liu, Zhenyu; Duan, Guifang; Tan, Jianrong

doi:10.1177/1045389x211041167

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Liu et al. [ 140 ] have proposed a similar optimization process by using an analytical model, considered as more efficient than the FEA‐based optimization.…”

Section: Designmentioning

confidence: 99%

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The Design of 4D‐Printed Hygromorphs: State‐of‐the‐Art and Future Challenges

Kergariou

Demoly

Perriman

et al. 2022

Adv Funct Materials

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In recent years, 4D printing has allowed the rapid development of new concepts of multifunctional/adaptive structures. The 4D printing technology makes it possible to generate new shapes and/or property-changing capabilities by combining smart materials, multiphysics stimuli, and additive manufacturing. Hygromorphs constitute a specific class of new smart materials where their properties and morphing capabilities are dependent on the surrounding humidity, which drives actuation. Although multiple efforts have been made to fabricate hygromorph demonstrators, a comprehensive design process to produce hygromorphs by multiple 4D printing techniques is not yet available. The broad aim of this review and concept paper is to i) highlight existing scientific and technology gaps in the field of 4D-printed hygromorphs, ii) identify tools existing in other research fields for filling those gaps, and iii) discuss a series of guidelines for tackling future challenges and opportunities to develop 4D-printed composite hygromorph materials and related manufacturing processes. Accordingly, this review describes the materials and additive manufacturing techniques used for hygromorph composite fabrication. Moreover, the relevant parameters that control actuation, the models selection and performance, the design methods and the actuation measurements for customized 4D-printed hygromorph materials, are discussed.

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“…Liu et al. [ 140 ] have proposed a similar optimization process by using an analytical model, considered as more efficient than the FEA‐based optimization.…”

Section: Designmentioning

confidence: 99%

“…[ 139 ] When choosing the objective function for the deformation of the actuator the experimental test must be considered. Liu et al., [ 140 ] Zolfagharian et al. [ 150,167 ] and Sun et al.…”

Section: Designmentioning

confidence: 99%