Open Shape Morphing Honeycombs Through Kirigami

Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring; Keynote Presentation ◽

10.1115/smasis2014-7489 ◽

2014 ◽

Cited By ~ 4

Author(s):

Robin M. Neville ◽

Alberto Pirrera ◽

Fabrizio Scarpa

Keyword(s):

Sandwich Panel ◽

Potential Fields ◽

Deployable Structures ◽

Shape Morphing ◽

Open Shape ◽

Reduced Density

This work presents an “open” and deployable honeycomb configuration created using kirigami-inspired cutting and folding techniques. The open honeycomb differs from traditional “closed” honeycomb by its reduced density and its increased flexibility. The exploitation of these characteristics for multifunctional applications is the focus of this work. Potential fields in which the open honeycomb could find application include sandwich panel manufacturing, morphing, and deployable structures.

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Mechanical behaviour of a lightweight, three-layered sandwich panel based on the raw material maize

Holzforschung ◽

10.1515/hf-2017-0028 ◽

2017 ◽

Vol 72 (1) ◽

pp. 65-70 ◽

Cited By ~ 6

Author(s):

Moira P. Burnett ◽

Alireza Kharazipour

Keyword(s):

Sandwich Panel ◽

Core Layer ◽

Raw Material ◽

Furniture Industry ◽

Wood Composites ◽

Lightweight Construction ◽

The Core ◽

Mechanical And Physical Properties ◽

Reduced Density ◽

Material Saving

AbstractLightweight construction of composites is one of the strategies for developing material-saving panels, whereas light honeycomb boards or sandwich panels (SPs) based on foam or wood materials seem to be very promising in this context. The objective of the present work was the development of an SP with a reduced density based on nearly 100% expanded maize granular in the core layer, which was combined with 3 mm thin and stiff poplar plywood as face materials. In focus were mechanical and physical properties of the SPs, which should be applicable in the furniture industry and competitive with conventional wood composites such as fibreboards or particle boards.

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Realizing Controlled, Shape-Morphing Metallic Components for Deployable Structures

Materials & Design ◽

10.1016/j.matdes.2021.109935 ◽

2021 ◽

pp. 109935

Author(s):

Ian D. McCue ◽

Gianna M. Valentino ◽

Douglas B. Trigg ◽

Andrew M. Lennon ◽

Chuck E. Hebert ◽

...

Keyword(s):

Deployable Structures ◽

Shape Morphing

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The structure of amorphous and polycrystalline materials using energy-filtered RDF analysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130584 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1190-1191

Author(s):

David Cockayne ◽

David McKenzie

Keyword(s):

Electron Diffraction ◽

Diffraction Pattern ◽

Density Function ◽

Electron Diffraction Pattern ◽

Polycrystalline Materials ◽

Nearest Neighbour ◽

X Ray ◽

Selected Area Electron Diffraction ◽

Reduced Density ◽

System F

The technique of Electron Reduced Density Function (RDF) analysis has ben developed into a rapid analytical tool for the analysis of small volumes of amorphous or polycrystalline materials. The energy filtered electron diffraction pattern is collected to high scattering angles (currendy to s = 2 sinθ/λ = 6.5 Å-1) by scanning the selected area electron diffraction pattern across the entrance aperture to a GATAN parallel energy loss spectrometer. The diffraction pattern is then converted to a reduced density function, G(r), using mathematical procedures equivalent to those used in X-ray and neutron diffraction studies.Nearest neighbour distances accurate to 0.01 Å are obtained routinely, and bond distortions of molecules can be determined from the ratio of first to second nearest neighbour distances. The accuracy of coordination number determinations from polycrystalline monatomic materials (eg Pt) is high (5%). In amorphous systems (eg carbon, silicon) it is reasonable (10%), but in multi-element systems there are a number of problems to be overcome; to reduce the diffraction pattern to G(r), the approximation must be made that for all elements i,j in the system, fj(s) = Kji fi,(s) where Kji is independent of s.

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