Teng Zhang’s research while affiliated with Syracuse University and other places

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Publications (25)


Thermal Gradient-Driven Heterogeneous Actuation of Liquid Crystal Elastomers for a Crawling Robot
  • Article

January 2025

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16 Reads

ACS Applied Materials & Interfaces

Yi Li

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Zizheng Wang

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Yongyu Lu

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[...]

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Xueju Sophie Wang

Kinematically reconfigurable compliant metastructure design and envisioned application examples
a Design of stiffness-changing materials for making compliant metastructures that can change their kinematics depending on the context of use and their screw algebra representation. DOF (degree of freedom), DOC (degree of constraint). b A benchmark of devices presented in this work and literature with respect to the number of programmable DOF and the range of afforded effective stiffness19, 20, 21, 22, 23, 24, 25, 26, 27–28. The range of stiffness needed for upper limb wearable kinesthetic haptic design is exemplified by the vertical dashed lines. JND (just noticeable difference), LMPA (low melting point alloy) ²⁰, PET (polyethylene terephthalate)²¹, PC (polycarbonate)²¹, CFM (constant force mechanism)²⁶. c Exemplary design space enabled by reconfigurable kinesthetic haptic device leveraging DOF locking/unlocking and stiffness changes, including (i) virtual kinematic feedback, (ii) selective muscle group training, (iii) context-adaptive rehabilitation braces, and (iv) wearable haptic proxies. d The device can disable the forearm’s rotation to, e.g., simulate the experience of turning a locked vs. unlocked doorknob e The kinematic reconfiguration can selectively constrain finger interphalangeal joints, allowing for targeted muscle group training. MP (metacarpophalangeal) joint, DIP (distal interphalangeal) joint, PIP (proximal interphalangeal) joint. f The wrist device can function as a context-adaptive wrist brace (e.g., for alleviating wrist-tunnel syndrome) that can reconfigure its kinematic constraint to enable certain motions. g A haptic thimble device can proxy the haptic experience of pressing different materials by reconfiguring its stiffness.
Algorithm for designing kinematically reconfigurable compliant mechanisms using the wrist joint as an example
a The algorithm starts by computing the (i) freedom and (ii) constraint space of deviation and flexion. (iii) The subspace for passive flexures is the intersection of all modal constraint spaces. In this design case, any rod flexure whose extended axis passes through the center point or lies on the plane spanned by the two degrees of freedom axes is permitted. (iv) The relative complements represent the rod placements required to exactly constrain the other mode. In this case, any flexure that does not pass through and is not parallel to the rotation axis is allowed. Next, minimal (v) non-redundant flexures should be added to span the constraint subspaces and exactly constrain each kinematic mode. In this case, four conventional flexures and two stiffness-changing flexures are used (one for each mode). DOF (degree of freedom), DOC (degree of constraint). b The overall design workflow for reconfigurable embodied haptic devices. (vi) The input kinematic specifications are supplied to the algorithm (a) to find (vii) the parametric flexure placement. Based on the kinetics design goals (e.g., stiffness), (viii) more flexures could then be added to the design and use (ix) an analytical stiffness model and (x) finite element simulation to validate and iterate the design (color indicates the equivalent strain in ANSYS). In this sequence, the passive flexures from (v) are replaced by the wrist joint’s skeleton to produce (vii), then more flexures are added, and their geometric parameters are altered to produce a device with the targeted kinetic performance. c The final design was created by remodeling the rigid stages in (viii) to provide a good fit to the wearer and connections between flexures. d The design’s Venn diagram representation and the membership of each space in (a). e Reconfiguration for the kinematic modes: the complement constraint subspace should be canceled by softening the flexures to enable (xi) flexion and (xii) deviation.
A compliant mechanism joint that can be reconfigured to provide mobility along each and any of the six degrees of freedom (DOF) in the three-dimensional space
a The device consists of two identical stages connected by nine stiffness-changing flexural rods lying on three orthogonal planes passing through the center of rotation (red dot). Scale bar, 20 mm. b The Venn diagram showing the constraint subspaces calculated from the algorithm and the affinity of each rod (Supplementary Note 2.5). c The device’s motion along each of the DOF (top row) and the corresponding flexural rod configuration (bottom row, orange: heated, blue: cold). The dashed and solid lines show the mobile stage’s centerline position before and after displacement, respectively, with the arrow showing the direction of motion. Scale bar, 10 mm. d The load-displacement plots of each DOF in the locked (blue) and unlocked (orange) states. Data are means ± s.d. n = 3 samples. e 1% (1 mm) displacement loads for each DOF. Statistically significant differences were found between toggled modes using t-tests (***p < 0.001). Data are means ± s.d. n = 3 samples.
Tailored design for wearable kinesthetic haptics
a Picture of a device for the arm to toggle individual joint degree of freedom (DOF). MP (metacarpophalangeal) joint, DIP (distal interphalangeal) joint, PIP (proximal interphalangeal) joint. Scale bar, 50 mm. b Pictures of the unlocked forearm joint (i) before and (ii) after pronation. Scale bar, 50 mm. c Pictures of the unlocked finger joints (iii) before and (iv) after flexion. Scale bar, 50 mm. d Pictures of the wrist joint exercising along the unlocked (v) flexion, (vi) deviation, and (vii) both directions. Scale bar, 50 mm. e The load-displacement plots of the wrist joint device’s (viii) flexion and (ix) deviation DOF under different configuration modes. JND (just noticeable difference). Data are means ± s.d. n = 3 repetitions. Dashed lines are finite element simulation results. f Stiffness comparison of the wrist joint device under different configuration modes against the (x) flexion and (xi) deviation DOF. The effective stiffness was calculated as load/displacement at the experiment criteria (i.e., torque limit load for locked states and JND limits for unlocked states). Data are means ± s.d. n = 3 repetitions.
A tailored design of embodied haptics proxy
a Pictures (from left to right) of the haptic thimble simulating the stiffness of pressing on a block of aluminum stock, polyurethane foam, and a block of jelly. Scale bar, 10 mm. b The device design schema. All rods have an outer diameter (OD) of 1.5 mm unless specified otherwise. c The load-displacement plots of the thimble under different configurations. The five numbers making up the name of each sample indicate the states of flexure groups 1-5 in (b) with 1 indicating softening and 0 for hardening. Data are means ± s.d. n = 3 samples. Dashed lines are FE simulation results. d The device simulates different levels of stiffness within the design parameters, spanning two orders of magnitudes. Data are means ± s.d. n = 3 samples. e Flexure configurations (top row) and pictures of deformed flexures (bottom row) under three modes: [0, 0, 0, 0, 0] being fully rigid, [0, 1, 0, 0, 1] being partially softened, and [1, 1, 1, 1, 1] being fully softened. Scale bar, 10 mm.
A compliant metastructure design with reconfigurability up to six degrees of freedom
  • Article
  • Full-text available

January 2025

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238 Reads

Compliant mechanisms with reconfigurable degrees of freedom are gaining attention in the development of kinesthetic haptic devices, robotic systems, and mechanical metamaterials. However, available devices exhibit limited programmability and form-customizability, restricting their versatility. To address this gap, we propose a metastructure concept featuring reconfigurable motional freedom and tunable stiffness, adaptable to various form factors and applications. These devices incorporate passive flexures and actively stiffness-changing rods to modify kinematic freedom. A rational design pipeline informs the flexures’ topological arrangements, geometric parameters, and control signals based on targeted mobilities, enabling the creation of unitary joints with up to six degrees of freedom. Our demonstrative application examples include a wrist device that has an effective stiffness of 0.370 Nm/deg (unlocked state, 5% displacement) to 2.278 Nm/deg (locked state, 1% displacement) to enable dynamic joint mobility control, a haptic thimble device (2.27-52.815 Nmm⁻¹ at 1% displacement) that mimics the sensation of touching physical materials ranging from soft gel to metal surfaces, and a wearable device composed of multiple joints tailored for the arm and hand to augment haptic experiences or facilitate muscle training. We believe the presented method can help democratize compliant metastructures development and expand their versatility for broader contexts.

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Figure 1. Modeling soft robotic locomotion (e.g., crawling and rolling) in magnetic cilia carpets with metachronal waves. a) Beating kinematics of a single cilium. b) Magnetization profiles for different metachronal waves. c) Simulation setup and representative snapshots of crawling and rolling locomotion where magnetic responsive materials and interface contact are described by the magnetic-lattice model (Magttice model) and the discrete element method model, respectively.
Figure 3. Comparison of simulation and experiential metachronal waves on magnetic cilia carpets under 80 mT rotating magnetic field. a) Symplectic wave. b) Antiplectic wave. Experimental images are adapted from ref. [20].
Figure 6. Friction forces during the soft robot crawling. a) Simulation snapshots of the soft robot crawling within one cycle of external magnetic field rotation, ω ¼ 30 s À1 . The cilia(legs) of the soft robot are magnetized to achieve an antiplectic metachronal wave with wavelength λ ¼ 6d. The simulation nodes with friction force exerted are colored in yellow and the blue arrows indicate the friction force directions. b) The x component of friction force on individual cilium(leg) over time. The cilium indices are mapped out in (a) and the boxed rows display the friction force distributions for each simulation snapshot's moment presented in (a).
Numerical Study of Metachronal Wave‐Modulated Locomotion in Magnetic Cilia Carpets

July 2023

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313 Reads

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7 Citations

Metachronal motions are ubiquitous in terrestrial and aquatic organisms and have attracted substantial attention in engineering for their potential applications. Hard‐magnetic soft materials are shown to provide new opportunities for metachronal wave‐modulated robotic locomotion by multi‐agent active morphing in response to external magnetic fields. However, the design and optimization of such magnetic soft robots can be complex, and the fabrication and magnetization processes are often delicate and time‐consuming. Herein, a computational model is developed that integrates granular models into a magnetic–lattice model, both of which are implemented in the highly efficient parallel computing platform large‐scale atomic/molecular massively parallel simulator (LAMMPS). The simulations accurately reproduce the deformation of single cilium, the metachronal wave motion of multiple cilia, and the crawling and rolling locomotion of magnetic cilia soft robots. Furthermore, the simulations provide insight into the spatial and temporal variation of friction forces and trajectories of cilia tips. The results contribute to the understanding of metachronal wave‐modulated locomotion and potential applications in the field of soft robotics and biomimetic engineering. The developed model also provides a versatile computational framework for simulating the movement of magnetic soft robots in realistic environments and has the potential to guide the design, optimization, and customization of these systems.


Mechanics of Tunable Adhesion With Surface Wrinkles

June 2023

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39 Reads

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2 Citations

Journal of Applied Mechanics

Surface wrinkles have emerged as a promising avenue for the development of smart adhesives with dynamically tunable adhesion, finding applications in diverse fields, such as soft robots and medical devices. Despite intensive studies and great achievements, it is still challenging to model and simulate the tunable adhesion with surface wrinkles due to roughened surface topologies and pre-stress inside the materials. The lack of a mechanistic understanding hinders the rational design of these smart adhesives. Here we integrate a lattice model for nonlinear deformations of solids and nonlocal interaction potentials for adhesion in the framework of molecular dynamics to explore the roles of surface wrinkles on the adhesion behaviors. We validate the proposed model by comparing wrinkles in a neo-Hookean bilayer with benchmarked results and reproducing the analytical solution for cylindrical adhesion. We then systematically study the pull-off force of the wrinkled surface with varied compressive strains and adhesion energies. Our results reveal the competing effect between the adhesion induced contact and the roughness due to wrinkles on enhancing or weakening the adhesion. Such understanding provides guidance for tailoring material and geometry as well as loading of the wrinkled surfaces for different applications.


Bioinspired design of the autonomous self-drilling seed carrier
a, The processing steps to create wood-based hygromorphic actuators with a large initial curvature. b, The natural E. guinum seed that serves as the design inspiration, and our design concepts of the autonomous self-drilling seeding carrier with customized awn and tailored payloads. Scale bar, 10 mm. c, Our engineered three-tailed seed carrier has 80% higher establishment rates than the Erodium seed in the controlled self-drilling test (see Methods). n = 10 seeds of each type. d, Engineered and natural seed carriers of various sizes and geometries (Supplementary Table 1). Scale bar, 20 mm. e, A possible application showing a three-tailed carrier delivering vegetable seeds alongside mycorrhizal fungi as symbiotic biofertilizers. f, Comparison of our actuator in elastic modulus and bending curvature with typical biological and engineered actuators and materials that exhibit hydration-induced reversible deformation behaviours (see Supplementary Table 2 for additional references and values). Gel-Am, gelatin–amyloid; PEDOT:PSS, poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate); PEO, polyethylene oxide; TNF, titanium oxide nano-capillary forest; PEE-PPy, pentaerythritol ethoxylate-polypyrol; PPy, polypyrol; B. mori silk, Bombyx mori silk. B. subtilis, Bacillus subtilis. g, Three-tailed design considerations. Successful drilling relies on the effective vertical thrust force (Pt) and torque (M1, M2) that are determined by the moisture-driven mechanics coupled with the wood and the coil’s dimensional factors, including the thickness (h), width (b), diameter (D) and the coil’s active length (l) and tail configurations.
The curvature formation mechanism and hygromorphic actuation
a–d, The curvature changes for ≈0.05-mm-thick flat wood veneer (a) evolve from the as-moulded state (b) to the wet-released state (c) to the dry state (d). Scale bar, 1 mm. e, The curvature of samples with different thicknesses in the wet-released state after being moulded and released from mandrels of varying diameters. f, The simplified plastic model with an ideal plastic region (ϵY1≤ϵ≤ϵY2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\epsilon }}_{{Y}_{1}}\le {\epsilon }\le {{\epsilon }}_{{Y}_{2}}$$\end{document}), followed by a stiffening region (ϵY2<ϵ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\epsilon }}_{{Y}_{2}} < {\epsilon }$$\end{document}). g, The normalized curvature in the wet state after release. h, The normalized curvature in the dry state. For e–h, each test group contains three samples with an initial thickness of 0.36 ± 0.00 mm, 0.51 ± 0.03 mm and 0.73 ± 0.01 mm, respectively. i, Curvature changes of bending samples. Data are means ± s.d. n = 3 triggering cycles. The lines provide visual guidance by connecting data points. j, Comparison of length changes of the inner and outer side of the wood strips, moulded with mandrels of varying diameters. Data are means ± s.d. n = 3 samples. k,l, A set of representative scanning electron micrographs of the wood strip after moulding and drying: the deformed cells towards the inner side tend to have larger MFAs than the cells towards the outer side with relatively smooth cell walls. Scale bars, 30 μm (k, left), 10 μm (k, right; l, left), 5 μm (l, right) and 400 μm (k, inset). m, Illustrations of the curvature formation and actuation mechanisms.
Geometrical parameters of the seed carrier design
a, Comparison of drilling success between the three-tailed and Erodium seeds on flat soil in five cycles (Methods). n = 15 of each type. b, Comparison of simulated thrust force between the seed tip and the ground from the three-tailed and the single-tailed designs, as a function of the normalized hydration state (Methods) that maps the transition from the dry state (0) to the wet state (1). w/, with; w/o, without. c, Simulation results of the dynamic forces generated by multiple tails of the three-tailed design. d,e, Experimental and simulation snapshots of the three-tailed (d) versus the single-tailed (e) seed carriers, during the first hydration cycle triggered by natural rain. For the three-tailed design shown in d, the body of tail 2 and the tip of tail 3 generate forces initially, and then the tips of both tail 1 and 2 start to generate larger forces as the tails get more hydrated. By contrast, the force stays relatively constant and small for the single-tailed design in e. The colour bar represents the contact pressure, which is greater than 0.1 kPa. The small upper bond is to help visualizations of the contact regions. Scale bars, 10 mm. f, Experiments (Exp.) and simulation (Sim.) of peak extension forces of coiling actuators with different coiling numbers. Data are means ± s.d., n = 3 of each coiling number. Schematic shows the setup of the measurements, where one end of the coils is fixed during hydration, and the sample is sandwiched between the fixed end and the load cell. g, Rotational range and speed of coiling actuators. Data are means ± s.d., n = 3 of each coiling number. Schematic shows the change in rotational range being measured as the sample is hydrated.
Tailored designs of self-drilling carriers
a, Three different engineered seed carrier designs with different size, coil and tail variations. The identifying numbers beneath each case indicate, respectively: the total number of tails; the total layers of the coiled body; the total numbers of coils; and the total body length in millimetres. b, The germination process of a three-tailed seed carrier with embedded symbiotic species: cherry belle radish seeds and mycorrhizal fungi. Scale bar, 10 mm. c, The symbiotic growth of radish seeds and mycorrhizal fungi. Scale bars, 5 mm (left) and 10 μm (right). d, Burial state 9 days after delivery of the beneficial nematodes, S. carpocapsae, by a double-coiled seed carrier. Scale bars, 10 mm (left) and 200 μm (right). e, Comparison of the self-drilling depth between the double-coiled and single-coiled seed carriers. Data are means ± s.d., n = 10 for each type. f, A large-sized seed carrier is designed to carry whitebark pine seed for reforestation. Scale bar, 24 mm. g, The successful drilling of the large-sized seed carrier with a whitebark pine seed after the first triggering cycle. Scale bar, 10 mm. h, Drilling depth of large-sized seed carrier with a body length of about 302 mm. Data are means ± s.d., n = 8 anchored ones from a total of 10 samples. More details for the tests in b–h are included in the Methods.
Autonomous self-burying seed carriers for aerial seeding

February 2023

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1,713 Reads

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93 Citations

Nature

Aerial seeding can quickly cover large and physically inaccessible areas¹ to improve soil quality and scavenge residual nitrogen in agriculture², and for postfire reforestation3–5 and wildland restoration6,7. However, it suffers from low germination rates, due to the direct exposure of unburied seeds to harsh sunlight, wind and granivorous birds, as well as undesirable air humidity and temperature1,8,9. Here, inspired by Erodium seeds10–14, we design and fabricate self-drilling seed carriers, turning wood veneer into highly stiff (about 4.9 GPa when dry, and about 1.3 GPa when wet) and hygromorphic bending or coiling actuators with an extremely large bending curvature (1,854 m⁻¹), 45 times larger than the values in the literature15–18. Our three-tailed carrier has an 80% drilling success rate on flat land after two triggering cycles, due to the beneficial resting angle (25°–30°) of its tail anchoring, whereas the natural Erodium seed’s success rate is 0%. Our carriers can carry payloads of various sizes and contents including biofertilizers and plant seeds as large as those of whitebark pine, which are about 11 mm in length and about 72 mg. We compare data from experiments and numerical simulation to elucidate the curvature transformation and actuation mechanisms to guide the design and optimization of the seed carriers. Our system will improve the effectiveness of aerial seeding to relieve agricultural and environmental stresses, and has potential applications in energy harvesting, soft robotics and sustainable buildings.


Large Biaxial Recovered Strains in Self‐Shrinking 3D Shape‐Memory Polymer Parts Programmed via Printing with Application to Improve Cell Seeding

February 2023

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29 Reads

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9 Citations

Trapping of strain in layers deposited during extrusion‐based (fused filament fabrication) 3D printing has previously been documented. If fiber‐level strain trapping can be understood sufficiently and controlled, 3D shape‐memory polymer parts could be simultaneously fabricated and programmed via printing (programming via printing; PvP), thereby achieving precisely controlled 3D‐to‐3D transformations of complex part geometries. Yet, because previous studies have only examined strain trapping in solid printed parts—such as layers or 3D objects with 100% infill—fundamental aspects of the PvP process and the potential for PvP to be applied to printing of porous 3D parts remain poorly understood. This work examines the extent to which strain can be trapped in individual fibers and in fibers that span negative space and the extent to which infill geometry affects the magnitude and recovery of strain trapped in porous PvP‐fabricated 3D parts. Additionally, multiaxial shape change of porous PvP‐fabricated 3D parts are for the first time studied, modeled, and applied in a proof‐of‐concept application. This work demonstrates the feasibility of strain trapping in individual fibers in 1D, 2D, and 3D PvP‐fabricated parts and illustrates the potential for PvP to provide new strategies to address unmet needs in biomedical and other fields.


Figure 2
Autonomous self-burying seed carriers for aerial seeding

January 2023

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133 Reads

Aerial seeding can quickly cover large and physically inaccessible areas to improve soil quality and scavenge residual nitrogen in agriculture, and for postfire reforestation and wildland restoration. However, it suffers from low germination rates, due to the direct exposure of unburied seeds to harsh sunlight, wind and granivorous birds, as well as undesirable air humidity and temperature. Here, inspired by Erodium seeds, we design and fabricate self-drilling seed carriers, turning wood veneer into highly stiff (about 4.9 GPa when dry, and about 1.3 GPa when wet) and hygromorphic bending or coiling actuators with an extremely large bending curvature (1,854 m ⁻¹ ), 45 times larger than the values in the literature. Our three-tailed carrier has an 80% drilling success rate on flat land after two triggering cycles, due to the beneficial resting angle (25°–30°) of its tail anchoring, whereas the natural Erodium seed’s success rate is 0%. Our carriers can carry payloads of various sizes and contents including biofertilizers and plant seeds as large as those of whitebark pine, which are about 11 mm in length and about 72 mg. We compare data from experiments and numerical simulation to elucidate the curvature transformation and actuation mechanisms to guide the design and optimization of the seed carriers. Our system will improve the effectiveness of aerial seeding to relieve agricultural and environmental stresses, and has potential applications in energy harvesting, soft robotics and sustainable buildings.


In vitro model to study confined osteocyte networks exposed to flow-induced mechanical stimuli

November 2022

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78 Reads

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3 Citations

Osteocytes are considered the primary mechanical sensor in bone tissue and orchestrate the coupled bone remodeling activity of adjacent osteoblast and osteoclast cells. In vivo investigation of mechanically induced signal propagation through networks of interconnected osteocytes is confounded by their confinement within the mineralized bone matrix, which cannot be modeled in conventional culture systems. In this study, we developed a new model that mimics this in vivo confinement using gelatin methacrylate (GelMA) hydrogel or GelMA mineralized using osteoblast-like model cells. This model also enables real-time optical examination of osteocyte calcium (Ca2+) signaling dynamics in response to fluid shear stimuli cultured under confined conditions. Using this system, we discovered several distinct and previously undescribed patterns of Ca2+ responses that vary across networks of interconnected osteocytes as a function of space, time and connectivity. Heterogeneity in Ca2+ signaling may provide new insights into bone remodeling in response to mechanical loading. Overall, such a model can be extended to study signaling dynamics within cell networks exposed to flow-induced mechanical stimuli under confined conditions.


Tunable Dry Adhesion of Soft Hollow Pillars through Sidewall Buckling under Low Pressure

November 2022

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216 Reads

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24 Citations

Controlling adhesion on demand is essential for many manufacturing and assembly processes such as microtransfer printing. Among various strategies, pneumatics‐controlled switchable adhesion is efficient and robust but currently still suffers from challenges in miniaturization and high energy cost. In this paper, a novel way to achieve tunable adhesion using low pressure by inducing sidewall buckling in soft hollow pillars (SHPs) is introduced. It is shown that the dry adhesion of these SHPs can be changed by more than two orders of magnitude (up to 151×) using low activating pressure (≈−10 or ≈20 kPa). Large enough negative pressure triggers sidewall buckling while positive pressure induces sidewall bulging, both of which can significantly change stress distribution at the bottom surface to facilitate crack initiation and reduce adhesion therein. It is shown that a single SHP can be activated by a micropump to manipulate various lightweight objects with different curvatures and surface textures. Here, it is also demonstrated that an array of SHPs can realize selective pick‐and‐place of an array of objects. These demonstrations illustrate the robustness, simplicity, and versatility of these SHPs with highly tunable dry adhesion.


Citations (18)


... Following buckling, the structure can exhibit two or more stable states and has the potential to transition between them under external excitation. 24,25 Recently, there has been increasing interest in the buckling phenomena of nanomechanical resonators, which has highlighted their potential for reversible signal control, high-sensitivity switching, nonlinear effects, and extensive resonance frequency tunability. [26][27][28][29][30][31] These distinctive properties make buckling resonators highly suitable for a variety of applications, such as actuators, sensors, and energy harvesters. ...

Reference:

Steady-state transition of buckled nano graphite sheets in vibration processes
Finding Transition State and Minimum Energy Path of Bistable Elastic Continua through Energy Landscape Explorations
  • Citing Article
  • November 2023

Journal of the Mechanics and Physics of Solids

... Several experimental studies have explored the capabilities of various soft-walking robots, yet simulation-based research has remained relatively limited. Recently, Jiang et al. [84] established a comprehensive numerical model aimed at investigating the metachronal wavemodulated locomotion of magnetic artificial cilia robots. The authors achieved an accurate replication of the deformation of individual cilia, the coordinated metachronal wave motion exhibited by multiple cilia, and the resulting crawling and rolling locomotion patterns observed in magnetic cilia soft robots. ...

Numerical Study of Metachronal Wave‐Modulated Locomotion in Magnetic Cilia Carpets

... manufactured using new technologies such as additive manufacturing (AM), in several areas of application like soft robotic and biomedical engineering (Wallin et al., 2018;Yap et al., 2020;Stano and Percoco, 2021;Ko et al., 2022;Singh et al., 2023). Although wrinkling is often regarded as a critical condition to be avoided, new applications in tissue engineering, medical and electronics fields prove that wrinkling can be effectively controlled to drive given effects in active devices (Dillard et al., 2018;Zhang et al., 2019;Zeng et al., 2020a;Wu and Destrade, 2021;Lee et al., 2022;Zhang, 2023). Many studies show that this kind of surface instabilities can be triggered and influenced by the nature of the external stimuli involved: for instance, compressive forces via pre-stretch (Nayyar et al., 2011;Chen and Crosby, 2014;Auguste et al., 2014;Ma et al., 2016; * Corresponding author. ...

Mechanics of Tunable Adhesion With Surface Wrinkles
  • Citing Article
  • June 2023

Journal of Applied Mechanics

... Since cercariae rely on finite glycogen reserves (62), offloading computational demands to morphology conserves critical energy, extending host-seeking time. Similar principles appear throughout biology (63): numerous organisms leverage physics-based controllers encoded in morphology rather than energy-intensive neural processing for essential functions (64)(65)(66). ...

Autonomous self-burying seed carriers for aerial seeding

Nature

... On this topic, some recent works have unveiled the possibility of programming SMPs during 4D printing, in an approach referred to as direct 4D printing, consisting in generating and "trapping" pre-strains in the printed structures, subsequently recovered by heating. For further details, the reader is referred to [141][142][143] 4D-A = fabrication of a non-cellularized scaffold, shape change, and seeding with cells; 4D-B = fabrication of a non-cellularized scaffold, cell seeding, and shape transformation of the construct; 4D-C = biofabrication of a cellularized construct and shape change ** = two-way SME 3.5.1.3 Reversibility of shape transformation Another limitation is the shortage of reversible (i.e., two-way) SME in the majority of the 4D fabricated systems, which need to be reprogrammed each time (into a temporary shape) before shape recovery [36]. ...

Large Biaxial Recovered Strains in Self‐Shrinking 3D Shape‐Memory Polymer Parts Programmed via Printing with Application to Improve Cell Seeding

... One straightforward approach to modulating contact is through elastic buckling, where fibrils deform or buckle under pressure, reducing contact area and, thus, adhesion strength. Recently, elastic buckling has been used to design switchable adhesive structures and robotic manipulators [178][179][180][181][182][183][184]. For example, the "curve" fibrils design (Figure 5a) exhibited a high switching ratio of around 20 due to irreversible sliding of fibrils during compression [178]. ...

Tunable Dry Adhesion of Soft Hollow Pillars through Sidewall Buckling under Low Pressure

... To test the capability of studying real-time signaling within Cellnets, we choose osteocytes as our model cells, due to our groups' prior experience with bone tissue engineering [30]. Like many tissues, in bone, stimuli evoke calcium signals within 3D, organized, single-cell osteocyte networks while signal disruptions have been linked to many pathologies. ...

In vitro model to study confined osteocyte networks exposed to flow-induced mechanical stimuli

... 2,4 Liquid crystal elastomers (LCEs) that are pre-programmed to change shape in response to external stimuli are considered useful for soft machines. 6,7 The shape morphing is induced by heat, electricity, and light. 8,9 Light may be useful to stimulate localized actuation and does not require physical contact with the shape-changing material, as wires that transmit electrical power might require. ...

Morphing of stiffness-heterogeneous liquid crystal elastomers via mechanical training and locally controlled photopolymerization
  • Citing Article
  • September 2022

Matter

... To further explore the effect of the contact angle on the post-rupture volumes, we use mesoscale simulations using the Many-body Dissipative Particle Dynamics (MDPD) method, since it is much more convenient to tune the contact angle precisely [28,29] in these simulations by adjusting the liquid-solid interactions. This method is well suited for processes dominated by liquid viscosity and surface tension [30,31], ranging from droplet motions on rigid solid substrates [28], dynamic capillary wetting [32], self-cleaning of hydrophobic rough surfaces [33], and droplet wrapping of an elastic rod [29]. ...

Coupling lattice model and many-body dissipative particle dynamics to make elastocapillary simulation simple
  • Citing Article
  • April 2022

Extreme Mechanics Letters

... The integration of SMPs into microfluidic systems provides a solution to this limitation by enabling programmable control over the shape of the microchannel. Wang et al. 36 developed a shape-programmable three-dimensional microfluidic chip by sealing a PDMS channel layer onto an SMP membrane [ Fig. 2(d)]. The chip can be programmed into a temporary shape through heating and then returned to the initial shape upon reheating. ...

Shape-Programmable Three-Dimensional Microfluidic Structures
  • Citing Article
  • March 2022

ACS Applied Materials & Interfaces