4.5 Article

Low Fatigue Dynamic Auxetic Lattices With 3D Printable, Multistable, and Tuneable Unit Cells

Journal

FRONTIERS IN MATERIALS
Volume 5, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmats.2018.00045

Keywords

auxetic; 3D printing; multistability; stress distribution; tunable

Funding

  1. European Research Council (ERC) grant EMATTER [280078]
  2. Harvard-Cambridge Summer Fellowship
  3. Chinese Scholarship Council (CSC)

Ask authors/readers for more resources

Stress distribution has led to the design of both tough and lightweight materials. Truss structures distribute stress well and are commonly used to design lightweight materials for applications experiencing low strains. In 3D lattices, however, few structures allow high elastic compression and tunable deformation. This is especially true for auxetic material designs, such as the prototypical re-entrant honeycomb with sharp corners, which are particularly susceptible to stress concentrations. There is a pressing need for lightweight lattice designs that are dynamic, as well as resistant to fatigue. Truss designs based on hinged structures exist in nature and delocalize stress rather than concentrating it in small areas. They have inspired us to develop s-hinge shaped elastic unit cell elements from which new classes of architected modular 2D and 3D lattices can be printed or assembled. These lattices feature locally tunable Poisson ratios (auxetic), large elastic deformations without fatigue, as well as mechanical switching between multistable states. We demonstrate 3D printed structures with stress delocalization that enables macroscopic 30% cyclable elastic strains, far exceeding those intrinsic to the materials that constitute them(6%). We also present a simple semi-analyticalmodel of the deformations which is able to predict the mechanical properties of the structures within <5% error of experimental measurements from a few parameters such as dimensions and material properties. Using this model, we discovered and experimentally verified a critical angle of the s-hinge enabling bistable transformations between auxetic and normalmaterials. The dynamicmodeling tools developed here could be used for complex 3D designs from any 3D printable material (metals, ceramics, and polymers). Locally tunable deformation and much higher elastic strains than the parent material would enable the next generation of compact, foldable and expandable structures. Mixing unit cells with different hinge angles, we designed gradient Poisson's ratio materials, as well as ones with multiple stable states where elastic energy can be stored in latching structures, offering prospects for multi-functional designs. Much like the energy efficient Venus flytrap, such structures can store elastic energy and release it on demand when appropriate stimuli are present.

Authors

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

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Multidisciplinary Sciences

Estimated effects of implementing an open access policy for grantees at a private foundation

Carly Strasser, Eesha Khare

PEERJ (2017)

Article Engineering, Mechanical

Voltage-controlled morphing of dielectric elastomer circular sheets into conical surfaces

Ehsan Hajiesmaili, Eesha Khare, Alex Chortos, Jennifer Lewis, David R. Clarke

EXTREME MECHANICS LETTERS (2019)

Review Nanoscience & Nanotechnology

Transition-metal coordinate bonds for bioinspired macromolecules with tunable mechanical properties

Eesha Khare, Niels Holten-Andersen, Markus J. Buehler

Summary: Transition-metal coordination complexes are being used to engineer the mechanical properties of advanced structural materials, offering dynamic, tunable, and reversible properties. Their application in bioinspired materials design presents opportunities for novel materials with tunable mechanical properties.

NATURE REVIEWS MATERIALS (2021)

Article Energy & Fuels

Role of Methylene Diphenyl Diisocyanate (MDI) Additives on SBS-Modified Asphalt with Improved Thermal Stability and Mechanical Performance

Jocelyn H. Ting, Eesha Khare, Anthony DeBellis, Brian Orr, Jerome S. Jourdan, Francisco J. Martin-Martinez, Kai Jin, Bernie L. Malonson, Markus J. Buehler

Summary: In this study, we found that adding MDI-based additives enhances the phase stability of SBS-modified asphalt, addressing the issue of separation between SBS polymer and asphalt components. Our research also indicates that MDI acts as a compatibilizing agent between asphaltenes and SBS, improving the phase stability of the modified asphalt and reducing its susceptibility to degradation.

ENERGY & FUELS (2021)

Article Engineering, Biomedical

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences

Chi-Hua Yu, Eesha Khare, Om Prakash Narayan, Rachael Parker, David L. Kaplan, Markus J. Buehler

Summary: Collagen is a crucial structural protein in human tissues, commonly used for repairs and regeneration, but designing specific collagen sequences remains a challenge. Research shows that mutations to glycines, mutations in the middle of a sequence, and short sequence lengths have the greatest impact on the stability of collagen structures.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2022)

Article Multidisciplinary Sciences

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation

Eesha Khare, Chi-Hua Yu, Constancio Gonzalez Obeso, Mario Milazzo, David L. Kaplan, Markus J. Buehler

Summary: A general model using deep learning and genetic algorithm was developed to design collagen sequences with specific melting temperatures (Tm). Experimental and computational methods were used to verify the accuracy of the model in predicting Tm values. The study also identified the most frequently occurring collagen triplets and their correlation with triple-helical quality. This research is critical for the development of collagen sequences with specific Tm values for materials manufacturing and biomedical applications.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

Article Materials Science, Biomaterials

CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach

Eesha Khare, Constancio Gonzalez-Obeso, David L. Kaplan, Markus J. Buehler

Summary: This study demonstrates the use of Transformer models to predict the thermal stability of collagen triple helices based on the primary amino acid sequence. The results show that a small Transformer model and a pretrained ProtBERT model have similar performance, with the small model requiring fewer parameters. Additionally, the study suggests the potential of this approach for predicting other biophysical properties.

ACS BIOMATERIALS SCIENCE & ENGINEERING (2022)

Review Chemistry, Multidisciplinary

Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics

Sabrina C. Shen, Eesha Khare, Nicolas A. Lee, Michael K. Saad, David L. Kaplan, Markus J. Buehler

Summary: Engineered materials are important for modern technology but often contribute to ecological deterioration. Next-generation materials can address sustainability goals by providing alternatives to fossil fuel-based materials and reducing extraction processes and solid waste. Challenges include investigating and designing new feedstocks, which are mechanically weak and difficult to standardize. This review outlines a framework for examining sustainability in material systems and discusses the role of computational tools in discovering novel sustainable materials, with a focus on bioinspired and biobased materials.

CHEMICAL REVIEWS (2023)

Article Polymer Science

Coordination Stoichiometry Effects on the Binding Hierarchy of Histamine and Imidazole-M2+ Complexes

Jake Song, Eesha Khare, Li Rao, Markus J. Buehler, Niels Holten-Andersen

Summary: Rheology experiments and density functional theory calculations were used to characterize the stability of coordination complexes between histamine and imidazole with Ni2+, Cu2+, and Zn2+. It was found that the binding hierarchy is driven by the specific affinity of the metal ions to different coordination states, which can be macroscopically tuned by changing the metal-to-ligand stoichiometry. These findings facilitate the rational selection of metal ions for optimizing the mechanical properties of metal-coordinated materials.

MACROMOLECULAR RAPID COMMUNICATIONS (2023)

Article Materials Science, Biomaterials

Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization

Eesha Khare, Xiangjun Peng, Zaira Martin-Moldes, Guy M. Genin, David L. Kaplan, Markus J. Buehler

Summary: Model verification is critical for scientific accountability, transparency, and learning. In this study, a model verification approach was applied to a molecular dynamics simulation, successfully replicating the key findings of the original model and gaining new insights. Improvements in model validation processes, particularly through enhanced documentation methods, were discussed. This protocol for model verification can be further applied to validate other simulations.

ACS BIOMATERIALS SCIENCE & ENGINEERING (2023)

Review Chemistry, Physical

Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic-Organic Materials

Marcin Wysokowski, Rachel K. Luu, Sofia Arevalo, Eesha Khare, Witold Stachowiak, Michal Niemczak, Teofil Jesionowski, Markus J. Buehler

Summary: Since the discovery of deep eutectic solvents (DESs) in 2003, significant progress has been made in their preparation and physicochemical characterization. Their low cost and unique tailored properties have led to their increasing importance in sustainable processing and synthesis of advanced materials. This paper discusses the significance of these designer solvents, particularly in the field of biomimetic materials chemistry, and explores their potential for developing biomineralization-inspired hybrid materials.

CHEMISTRY OF MATERIALS (2023)

Article Chemistry, Physical

Localization of Zn2+ ions affects the structural folding and mechanics of Nereis virens Nvjp-1

Eesha Khare, Jaden Luo, Markus J. Buehler

Summary: Several biological organisms use metal-coordination bonds to create remarkable materials, such as the jaw of the marine worm Nereis virens, which achieves impressive hardness without mineralization. This study investigates the role of metal ions, specifically zinc ions, in the structure and mechanical properties of the Nvjp-1 protein. The initial distribution of metal ions affects the protein's structure, while tensile strength is influenced by hydrogen bond content and uniform distribution of metal ions, providing insights for the development of hardened biomaterials and modeling proteins with significant metal ion content.

SOFT MATTER (2023)

Article Chemistry, Multidisciplinary

Bond clusters control rupture force limit in shear loaded histidine-Ni2+ metal-coordinated proteins

Eesha Khare, Darshdeep S. Grewal, Markus J. Buehler

Summary: Dynamic noncovalent interactions play a crucial role in the structure and function of biological proteins and have been explored in bioinspired materials. Metal-coordination bonds offer tunability and can control the properties of synthetic materials. However, understanding the exact contribution of these bonds towards mechanical strength and the effect of geometric arrangements is lacking. In this study, we engineer the cooperative rupture of metal-coordination bonds to enhance the rupture strength of metal-coordinated peptide dimers, and we provide quantitative insights into the cooperativity and intrinsic strength limit of these bonds. This work aims to advance the molecular design principles for metal-coordinated materials.

NANOSCALE (2023)

No Data Available