Programmable Multistable Perforated Shellular (Adv. Mater. 42/2021)

Shi, Junbo; Mofatteh, Hossein; Mirabolghasemi, Armin; Desharnais, Gilles; Akbarzadeh, Abdolhamid

doi:10.1002/adma.202170328

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Advances in manufacturing have enabled the fabrication of advanced materials and structures with complex architecture from nanoscale macroscale. [46,[55][56][57][58][59][60][61][62][63]7] However, obtaining a very stiff design for the airplane wing is a crucial challenge. We cannot guarantee to achieve the global-optimum point in the cellular core of the wing design.…”

Section: Designing An Airplane Wing Using the Proposed Methodsmentioning

confidence: 99%

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

et al. 2023

Self Cite

View full text Add to dashboard Cite

This research is taking the first steps toward applying a 2D dragonfly wing skeleton in the design of an airplane wing using artificial intelligence. The work relates the 2D morphology of the structural network of dragonfly veins to a secondary graph that is topologically dual and geometrically perpendicular to the initial network. This secondary network is referred as the reciprocal diagram proposed by Maxwell that can represent the static equilibrium of forces in the initial graph. Surprisingly, the secondary graph shows a direct relationship between the thickness of the structural members of a dragonfly wing and their in‐plane static equilibrium of forces that gives the location of the primary and secondary veins in the network. The initial and the reciprocal graph of the wing are used to train an integrated and comprehensive machine‐learning model that can generate similar graphs with both primary and secondary veins for a given boundary geometry. The result shows that the proposed algorithm can generate similar vein networks for an arbitrary boundary geometry with no prior topological information or the primary veins' location. The structural performance of the dragonfly wing in nature also motivated the authors to test this research's real‐world application for designing the cellular structures for the core of airplane wings as cantilever porous beams. The boundary geometry of various airplane wings is used as an input for the design proccedure. The internal structure is generated using the training model of the dragonfly veins and their reciprocal graphs. One application of this method is experimentally and numerically examined for designing the cellular core, 3D printed by fused deposition modeling, of the airfoil wing; the results suggest up to 25% improvements in the out‐of‐plane stiffness. The findings demonstrate that the proposed machine‐learning‐assisted approach can facilitate the generation of multiscale architectural patterns inspired by nature to form lightweight load‐bearable elements with superior structural properties.

show abstract

Section: Designing An Airplane Wing Using the Proposed Methodsmentioning

confidence: 99%

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…Certain mechanical metamaterials can be understood and characterized using classical continuum theory. These materials demonstrate phenomena such as negative Poisson's ratio, [ 19 ] negative compressibility, [ 20 ] negative incremental stiffness, [ 14,21,22 ] and zero shear stiffness in pentamode metamaterials. [ 23 ] However, there are also mechanical metamaterials that exhibit behaviors that cannot be fully explained by classical continuum theory.…”

Section: Introductionmentioning

confidence: 99%

“…Recent advancements in 3D printing, coupled with the capabilities of metamaterials, have opened up a range of applications. These include deployable materials for various purposes, [13] reusable energy absorbers, [14] read-write mechanical memories, [15,16] and waveguiding materials, [17,18] among others. Since the size of the unit cell in metamaterials ranges from the sub-micrometer scale to the centimeter scale, they are prone to the emergence of size-effects.…”

Section: Introductionmentioning

confidence: 99%

Unravelling Size‐Dependent and Coupled Properties in Mechanical Metamaterials: A Couple‐Stress Theory Perspective

Eskandari,

shahryari,

Akbarzadeh

2024

Advanced Science

Self Cite

View full text Add to dashboard Cite

The lack of material characteristic length scale prevents classical continuum theory (CCT) from recognizing size effect. Additionally, the even‐order material property tensors associated with CCT only characterize the materials' centrosymmetric behavior and overlook their intrinsic chirality and polarity. Moreover, CCT is not reducible to 2D and 1D space without adding couples and higher‐order deformation gradients. Despite several generalized continuum theories proposed over the past century to overcome the limitations of CCT, the broad application of these theories in the field of mechanical metamaterials has encountered significant challenges. These obstacles primarily arise from a limited understanding of the material coefficients associated with these theories, impeding their widespread adoption. Implementing a bottom‐up approach based on augmented asymptotic homogenization, a consistent and self‐sufficient effective couple‐stress theory for materials with microstructures in 3D, 2D, and 1D spaces is presented. Utilizing the developed models, material properties associated with axial‐twist, shear‐bending, bending‐twist, and double curvature bending couplings in mechanical metamaterials are characterized. The accuracy of these homogenized models is investigated by comparing them with the detailed finite element models and experiments performed on 3D‐printed samples. The proposed models provide a benchmark for the rational design, classification, and manufacturing of mechanical metamaterials with programmable coupled deformation modes.

show abstract

“…A lattice structure is composed of nodes and struts which are arranged by periodic geometrical rules and the cell topology is the basic deformation element determining the global mechanical responses under loading. [7][8][9][10][11][12] Therefore, the key to achieving lattice structures with exceptional mechanical performance lies in the topological design of the beams and nodes within the structure. Classical designs were often inspired by crystal structure in metals, such as FCC (face-centered cubic), [13] BCC (body-centered cubic).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Mechanical Properties of Lattice Structures Enabled by Tailoring Oblique Truss Orientation Angle

Zhao,

Liu,

Cai

et al. 2024

Adv Eng Mater

Self Cite

View full text Add to dashboard Cite

The significant effect of the strut angle on the mechanical properties of strut‐based lattice structures is systematically explored in this study through experimental and numerical investigations. Notably, the highest levels of elastic modulus and yield stress, surpassing those observed in cubic lattices, have been experimentally achieved with the same relative density at a specific optimal strut angle of around 71.76o based on current experimental designs. The correlation between elastic modulus, yield stress, and variations in strut angles in lattice configurations has been verified through theoretical models and numerical finite element analyses. A favorable agreement has been observed among theoretical predictions, simulations, and experimental results. A critical transition from a mechanism dominated by bending to one dominated by compression within these lattice structures has been highlighted, contingent upon the tailoring of the strut angle. The deformation process of these lattice structures is significantly influenced by the interplay between ductile bending and brittle failure of the struts. Furthermore, the superior energy absorption and yield stress demonstrated by our novel lattice design, featuring the specific optimized strut angle of 71.76o, have been underscored through a comparative analysis with previously reported data. These structures hold promise for applications in the development of advanced metamaterials.This article is protected by copyright. All rights reserved.

show abstract

Programmable Multistable Perforated Shellular (Adv. Mater. 42/2021)

Cited by 3 publications

References 0 publications

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

Unravelling Size‐Dependent and Coupled Properties in Mechanical Metamaterials: A Couple‐Stress Theory Perspective

Enhanced Mechanical Properties of Lattice Structures Enabled by Tailoring Oblique Truss Orientation Angle

Contact Info

Product

Resources

About