4.7 Article

Programmable mechanical metastructures from locally bistable domes

Journal

EXTREME MECHANICS LETTERS
Volume 42, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.eml.2020.101081

Keywords

Metamaterials; Bistability; Programmable structures; Multifunctional materials; Morphing structures

Funding

  1. Air Force Office of Scientific Research [FA9550-171-0074]

Ask authors/readers for more resources

Mechanical metamaterials offer property control through geometrical design at the micro/mesoscale, enabling global functionalities beyond traditional materials. A class of programmable stiffness metastructures designed by patterning locally bistable dome units demonstrate reversible global response characteristics. These designs could potentially serve as blueprint models for load-carrying, programmable systems in soft robotics and morphing aerospace structures.
Mechanical metamaterials have introduced a paradigm shift in materials development by offering property control through geometrical design at the micro/mesoscale. The ensuing design flexibility has opened up avenues to leverage geometrical nonlinearities in the microstructure design to allow for realizing uncharacteristic global functionalities beyond the scope of traditional materials. In this work, we report on a class of programmable stiffness metastructures designed by patterning locally bistable dome units in structural element geometries. The global response characteristics of our metastructures reversibly switch between a plate-like response and a shell-like response as the bistable domes are switched locally between their two stable states. This allows for up to an order of magnitude variation in the global stiffness. Furthermore, we demonstrate the ability of our metastructures to enable in-situ property programmability in the presence of boundary conditions, thus paving the way for successful integration into larger structures. Uniquely, our architecture allows for multi-directional linear and nonlinear response programmability, while operating under different loading environments. As such, the presented designs can potentially serve as blueprint models to realize a new class of load-carrying, robust, programmable systems for soft robotics and morphing aerospace structures. (C) 2020 The Authors. Published by Elsevier Ltd.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Energy & Fuels

Passive load alleviation on wind turbine blades from aeroelastically driven selectively compliant morphing

Wolf D. K. Cavens, Abhishek Chopra, Andres F. Arrieta

Summary: The use of compliance-based morphing structures to passively modify the lift distribution can help alleviate the impact of rare but threatening loads on wind turbine blades, potentially reducing the overall weight of the structure.

WIND ENERGY (2021)

Article Materials Science, Composites

Programmable multistability for 3D printed reinforced multifunctional composites with reversible shape change

Shanthini Puthanveetil, Wing Chung Liu, Katherine S. Riley, Andres F. Arrieta, Hortense Le Ferrand

Summary: 4D printing technology enables reversible shape-changing in 3D printed structures made from a composite ink that can be printed using direct-ink-writing (DIW). The key to achieving thermal morphing and pre-stress multistability lies in microstructuring the 3D printed composites through shear-induced alignment of reinforcing microfibers. This method has the potential for a variety of compositions and designs, offering stiffness, reconfigurability, and shape-dependent functionalities.

COMPOSITES SCIENCE AND TECHNOLOGY (2022)

Article Instruments & Instrumentation

Topological wave energy harvesting in bistable lattices

Myungwon Hwang, Andres F. Arrieta

Summary: In this paper, an input-independent energy harvesting mechanism using topological solitary waves in a discrete bistable lattice is presented. The observed frequency-invariant phonons enable broadband energy harvesting to be an inherent property of the metamaterial.

SMART MATERIALS AND STRUCTURES (2022)

Article Chemistry, Physical

Magnetically driven in-plane modulation of the 3D orientation of vertical ferromagnetic flakes

Hortense Le Ferrand, Andres F. Arrieta

Summary: This paper proposes the use of rotating magnetic arrays to control the in-plane orientation of ferromagnetic nickel flakes in curable polymeric matrices, and experimental and modeling results validate this approach. The findings could lead to reverse-engineering methods for designing the microstructure in composite materials with intricate geometrical shapes for structural or functional applications.

SOFT MATTER (2022)

Article Engineering, Multidisciplinary

Plant-inspired multi-stimuli and multi-temporal morphing composites

Hortense Le Ferrand, Katherine S. Riley, Andres F. Arrieta

Summary: Plants are inspiring models for adaptive, morphing systems. In this study, a fabrication and design scheme for multi-stimuli and multi-temporal responsive plant-inspired composites is proposed. The composites consist of a hydrogel layer and an architected particle-reinforced epoxy bilayer, with complex bilayer architectural patterns realized through magnetic fields. The deformations and temporal responses of the composites are analyzed using digital image correlation, and plant-inspired composite shells resembling the Venus flytrap's shape are demonstrated.

BIOINSPIRATION & BIOMIMETICS (2022)

Article Engineering, Mechanical

Spanwise wing morphing using multistable cellular metastructures

D. Matthew Boston, Francis R. Phillips, Todd C. Henry, Andres F. Arrieta

Summary: This paper introduces the concept of morphing wings, which provide additional functionality and performance through spanwise morphing. A novel lightweight structure composed of cellular metamaterials is proposed, allowing large elastic deformations while maintaining load-bearing capacity. The mechanical properties of different multistable honeycombs are characterized, and two honeycombs are selected to develop a shape adaptable metastructure. The performance of a hybrid span-morphing wing concept is assessed using static aeroelastic analysis, demonstrating increased lift without increased wing deflection.

EXTREME MECHANICS LETTERS (2022)

Article Computer Science, Interdisciplinary Applications

High-performance large-scale simulation of multi-stable metastructures

Myungwon Hwang, Carlo Scalo, Andres F. Arrieta

Summary: In this paper, a solver based on the message-passing interface (MPI) is developed to simulate large-scale metastructures composed of bior multi-stable elements. The solver is validated against a commercial numerical solver and achieves high solution accuracy and computational speed. Its implementation also allows efficient parallel scalability. The findings expand the analysis domains of nonlinear metamaterials and metastructures, offering potential for practical applications.

COMPUTER PHYSICS COMMUNICATIONS (2022)

Article Materials Science, Multidisciplinary

Taming geometric frustration by leveraging structural elasticity

Janav P. Udani, Andres F. Arrieta

Summary: This study reports on a continuum system with locally bistable units that can exhibit controlled and self-sustained macroscopic geometric frustration. The system's patterning encodes ordered ground configurations and higher-order frustrated states, which can be activated by unit inversion and accessed through controlling the inversion sequence. The study presents a strategy for observing the unfolding of geometric frustration and offers potential applications in path-driven computation and optimization using structural systems.

MATERIALS & DESIGN (2022)

Article Thermodynamics

Energy-efficient defrosting of heat exchanger fins with embedded negative stiffness structures

Aman Thakkar, Jiacheng Ma, James E. Braun, W. Travis Horton, Andres F. Arrieta

Summary: This research investigates a novel mechanical defrosting solution for heat exchanger fins using multistable shape morphing cells integrated into the fins. The mechanical defrosting strategy significantly outperforms the thermal strategy in terms of energy consumption, power requirement, and speed.

APPLIED THERMAL ENGINEERING (2023)

Article Materials Science, Composites

Aero-structural optimization and actuation analysis of a morphing wing section with embedded selectively stiff bistable elements

Jose R. Rivas-Padilla, D. Matthew Boston, Karthik Boddapati, Andres F. Arrieta

Summary: Morphing wings can enhance the aerodynamic performance of aircraft under different design conditions. By using bistable beam-like elements within compliant structures, we can achieve selective stiffness and shape lock-in capabilities. In this research, an aero-structural optimization method is presented to realize morphing structures with these capabilities. Experimental results demonstrate the effectiveness of the optimized design in terms of load carrying capacity and lift variation.

JOURNAL OF COMPOSITE MATERIALS (2023)

Proceedings Paper Robotics

Towards open loop control of soft multistable grippers from energy-based modeling

Harith Morgan, Juan C. Osorio, Andres F. Arrieta

Summary: Multistable structures with multiple statically stable states can be utilized as a reference point for open-loop control schemes, benefiting from the adaptability of soft robotics and mechanical response of multistable elements. Here, we present an energy-based analytical model for soft multistable grippers that enables the design and prediction of stable states as programmed operational points. The model, based on lumped parameter springs, allows for faster prediction of the system's final state compared to Finite Element simulations, facilitating efficient design optimization and simplified control.

2023 IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS, ROBOSOFT (2023)

Proceedings Paper Robotics

Manta Ray inspired multistable soft robot

Juan C. Osorio, Chelsea Tinsley, Kendal Tinsley, Andres F. Arrieta

Summary: Manta rays are able to achieve smaller turning radius and faster turning speed by holding their fins in asymmetric positions while flapping. Inspired by this behavior, we present a pneumatically actuated manta ray-inspired soft robot concept that can mimic the ray's asymmetric strokes and stroke frequency. By using inflatable bistable and metastable dome-shaped units, we can independently deflect sections of the fin to achieve desired positions.

2023 IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS, ROBOSOFT (2023)

Proceedings Paper Robotics

Programmable multistable soft grippers

Juan C. Osorio, Harith Morgan, Andres F. Arrieta

Summary: Soft robots have gained attention for their ability to interact, adapt, and reconfigure in response to external stimuli. Their use of low modulus materials allows them to perform tasks that rigid robots cannot, while also ensuring safety. However, the highly nonlinear response of these materials presents challenges in predicting and controlling the motion of soft robots, often requiring advanced sensing and processing algorithms. Leveraging multistability provides a way to encode multiple stable states in soft robots, simplifying actuation and control.

2022 IEEE 5TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT) (2022)

Article Multidisciplinary Sciences

Multistable bioinspired origami with reprogrammable self-folding

Salvador Rojas, Katherine S. Riley, Andres F. Arrieta

Summary: This study introduces a class of multistable self-folding origami adaptable after fabrication, inspired by the earwig wing. The design includes bilayer creases that display anisotropic shrinkage in response to external stimulation, enabling prestrain adaptation. By tuning the fold prestrain level as a function of the stimulation time, the topology of the structure's energy landscapes is altered. This method provides a route for encoding prestrain in self-folding origami and can be used to manufacture biomimetic products with complex crease patterns and structural stability.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2022)

Article Automation & Control Systems

Neuromorphic Metamaterials for Mechanosensing and Perceptual Associative Learning

Katherine S. Riley, Subhadeep Koner, Juan C. Osorio, Yongchao Yu, Harith Morgan, Janav P. Udani, Stephen A. Sarles, Andres F. Arrieta

Summary: This research reports a neuromorphic metamaterial with bioinspired mechanosensing, memory, and learning capabilities achieved through the integration of mechanical instabilities and memristive materials. The system is able to learn spatially distributed input patterns and retrieve the learned patterns when needed. This opens up new possibilities for synthetic neuromorphic metamaterials.

ADVANCED INTELLIGENT SYSTEMS (2022)

No Data Available