ID: 1703.05506

Hierarchical geometries and adhesion: Bio-inspired designs for stiff interfaces

March 16, 2017

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Topologically engineered 3D printed architectures with superior mechanical strength

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R. S. Ambekar, B. Kushwaha, P. Sharma, F. Bosia, M. Fraldi, ... , Tiwary C. S.
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Materials that are lightweight yet exhibit superior mechanical properties are of compelling importance for several technological applications that range from aircrafts to household appliances. Lightweight materials allow energy saving and reduce the amount of resources required for manufacturing. Researchers have expended significant efforts in the quest for such materials, which require new concepts in both tailoring material microstructure as well as structural design. Arch...

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Deformation-induced topological transitions in mechanical metamaterials and their application to tunable non-linear stiffening

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Marius Wagner, Fabian Schwarz, Nick Huber, Lena Geistlich, ... , Spolenak Ralph
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Mechanical metamaterials are periodic lattice structures with complex unit cell architectures that can achieve extraordinary mechanical properties beyond the capability of bulk materials. A new class of metamaterials is proposed, whose mechanical properties rely on deformation-induced transitions in nodal-topology by formation of internal self-contact. The universal nature of the principle presented, is demonstrated for tension, compression, shear and torsion. In particular, ...

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Bending Mechanics of Biomimetic Scale Plates

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Pranta Rahman Sarkar, Hossein Ebrahimi, ... , Ghosh Ranajay
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We develop the fundamentals of nonlinear and anisotropic bending behavior of biomimetic scale plates using a combination of analytical modeling, finite element (FE) computations, and motivational experiments. The analytical architecture-property relationships are derived for both synclastic and anticlastic curvatures. The results show that, as the scales engage, both synclastic and anticlastic deformations show non-linear scale contact kinematics and cross-curvature sensitivi...

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A new concept for superior energy dissipation in hierarchical materials and structures

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G. Puglisi, N. M. Pugno
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We propose a new conceptual approach to reach unattained dissipative properties based on the friction of slender concentric sliding columns. We begin by searching for the optimal topology in the simplest telescopic system of two concentric columns. Interestingly, we obtain that the optimal shape parameters are material independent and scale invariant. Based on a multiscale self-similar reconstruction, we end-up with a theoretical optimal fractal limit system whose cross secti...

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Unveiling a new shear stress transfer mechanism in composites with helically wound hierarchical fibres

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A. Cutolo, A. R. Carotenuto, S. Palumbo, F. Bosia, ... , Fraldi M.
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The mechanical performance of reinforced composites is strongly influenced at different scales by the stress transferred at the matrix-fibre interfaces and at any surface where material discontinuity occurs. In particular, the mechanical response of elastomeric composites where the reinforcement is composed by cords with helically wound fibres is heavily compromised by fatigue and delamination phenomena occurring at cord-rubber as well as at the ply interfaces, since rubber a...

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Unravelling the Mechanics of Knitted Fabrics Through Hierarchical Geometric Representation

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Xiaoxiao Ding, Vanessa Sanchez, ... , Rycroft Chris H.
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Knitting interloops one-dimensional yarns into three-dimensional fabrics that exhibit behaviours beyond their constitutive materials. How extensibility and anisotropy emerge from the hierarchical organisation of yarns into knitted fabrics has long been unresolved. We sought to unravel the mechanical roles of tensile mechanics, assembly and dynamics arising from the yarn level on fabric nonlinearity by developing a yarn-based dynamical model. This physically validated model ca...

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Can confined mechanical metamaterials replace adhesives?

April 6, 2021

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Adrianos E. F. Athanasiadis, Marcelo A. Dias, Michal K. Budzik
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The subject of mechanical metamaterials has been gaining significant attention, however, their widespread application is still halted. Such materials are usually considered as stand-alone, vis-\`a-vis all characteristic length scales being associated solely with geometry of material itself. In this work we propose novel application of mechanical metamaterials as interface regions joining two materials with potential of replacing bulk adhesives. This idea leads into paradigm s...

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Bioinspired Nested-Isotropic Lattices with Tunable Anisotropy for Additive Manufacturing

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R. Boda, B. Panda, S. Kumar
Computational Engineering, F...

This study presents innovative nested-isotropic lattices for additive manufacturing, drawing inspiration from bio-architectures found in cortical bone osteons, golden spirals, and fractals. These lattices provide tunable anisotropy by integrating architectural elements like ``nesting orders (NOs)'' and corresponding ``nesting orientations (NORs),'' along with repetitive self-similar X-cross struts and three four-fold axes of symmetry, resulting in a wide spectrum of lattice d...

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Hierarchical tensile structures with ultralow mechanical dissipation

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Mohammad J. Bereyhi, Alberto Beccari, Robin Groth, Sergey A. Fedorov, Amirali Arabmoheghi, ... , Engelsen Nils J.
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Structural hierarchy is found in myriad biological systems and has improved man-made structures ranging from the Eiffel tower to optical cavities. Hierarchical metamaterials utilize structure at multiple size scales to realize new and highly desirable properties which can be strikingly different from those of the constituent materials. In mechanical resonators whose rigidity is provided by static tension, structural hierarchy can reduce the dissipation of the fundamental mode...

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Stiffness minimisation of graded microstructural configurations using asymptotic analysis and machine learning

October 13, 2021

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Chuang Ma, Dingchuan Xue, Shaoshuai Li, Zhengcheng Zhou, ... , Guo Xu
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The article is aimed to address a mutually boosting use of asymptotic analysis and machine learning, for fast stiffness design of configurations infilled with smoothly-varying graded microstructures. The discussion is conducted in the context of an improved asymptotic-homogenisation topology optimisation (AHTO plus) framework. It is demonstrated that on one hand, machine learning can be employed to represent the key but implicit inter-relationships revealed from asymptotic an...

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