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Polymers
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Polymeric Metamaterials: Design, Fabrication, Testing and Modeling
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Polymeric Metamaterials: Design, Fabrication, Testing and Modeling

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Analysis and Characterization".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 4388

Special Issue Editors

Prof. Dr. Rashid K. Abu Al-Rub

E-Mail Website
Guest Editor
Advanced Digital & Additive Manufacturing Center, Khalifa University, Abu Dhabi, United Arab Emirates
Interests: additive manufacturing; 3D printing; metamaterials; solid mechanics; damage and fracture mechanics; computational mechanics; advanced materials and composites
Dr. Imad Barsoum

E-Mail Website
Guest Editor
Advanced Digital & Additive Manufacturing Center, Khalifa University, Abu Dhabi, United Arab Emirates
Interests: computational mechanics; additive manufacturing; fatigue and fracture mechanics; constitutive modeling

Special Issue Information

Dear Colleagues,

Polymeric metamaterials are architected cellular materials, also known as lattice materials, which are made of polymeric materials or their composites. Metamaterials can have architected microstructures that are inspired by nature, topology optimization and/or human engineering intuition, and provide multifunctional attributes that cannot be achieved by conventional polymeric materials and composites. There has been an increasing interest in the designing, fabricating, testing and modeling of polymeric metamaterials due to the recent advances in digital design methods, additive manufacturing techniques, 3D-printed polymeric materials and artificial intelligence algorithms. Therefore, the scope of this Special Issue is intended to assemble a collection of recent research on the design, fabrication, testing and modeling of polymeric metamaterials and composites including, but not limited to, topics such as the property–topology–material relationship, new lattice topologies, macro/micro-additive manufacturing techniques for such materials, inverse design using machine learning techniques, effect of manufacturing defects on lattice material properties, multiscale topology optimization and generative design methods, etc.

Prof. Dr. Rashid K. Abu Al-Rub
Dr. Imad Barsoum
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metamaterials
  • architected materials
  • additive manufacturing
  • 3D printing
  • lattices
  • topology optimization
  • machine learning
  • cellular materials
  • foams
  • biomimetic

Published Papers (2 papers)

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Research

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23 pages, 13917 KiB  
Article
Deformation Behavior Investigation of Auxetic Structure Made of Poly(butylene adipate-co-terephthalate) Biopolymers Using Finite Element Method
by Yanling Schneider, Vinzenz Guski, Siegfried Schmauder, Javad Kadkhodapour, Jonas Hufert, Axel Grebhardt and Christian Bonten
Polymers 2023, 15(7), 1792; https://doi.org/10.3390/polym15071792 - 04 Apr 2023
Cited by 1 | Viewed by 1770
Abstract
Auxetic structures made of biodegradable polymers are favorable for industrial and daily life applications. In this work, poly(butylene adipate-co-terephthalate) (PBAT) is chosen for the study of the deformation behavior of an inverse-honeycomb auxetic structure manufactured using the fused filament fabrication. The study focus [...] Read more.
Auxetic structures made of biodegradable polymers are favorable for industrial and daily life applications. In this work, poly(butylene adipate-co-terephthalate) (PBAT) is chosen for the study of the deformation behavior of an inverse-honeycomb auxetic structure manufactured using the fused filament fabrication. The study focus is on auxetic behavior. One characteristic of polymer deformation prediction using finite element (FE) simulation is that no sounded FE model exists, due to the significantly different behavior of polymers under loading. The deformation behavior prediction of auxetic structures made of polymers poses more challenges, due to the coupled influences of material and topology on the overall behavior. Our work presents a general process to simulate auxetic structural deformation behavior for various polymers, such as PBAT, PLA (polylactic acid), and their blends. The current report emphasizes the first one. Limited by the state of the art, there is no unified regulation for calculating the Poisson’s ratio ν for auxetic structures. Here, three calculation ways of ν are presented based on measured data, one of which is found to be suitable to present the auxetic structural behavior. Still, the influence of the auxetic structural topology on the calculated Poisson’s ratio value is also discussed, and a suggestion is presented. The numerically predicted force–displacement curve, Poisson’s ratio evolution, and the deformed auxetic structural status match the testing results very well. Furthermore, FE simulation results can easily illustrate the stress distribution both statistically and local-topology particularized, which is very helpful in analyzing in-depth the auxetic behavior. Full article
(This article belongs to the Special Issue Polymeric Metamaterials: Design, Fabrication, Testing and Modeling)
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Review

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39 pages, 3107 KiB  
Review
Review of Additively Manufactured Polymeric Metamaterials: Design, Fabrication, Testing and Modeling
by Abdulla Almesmari, Nareg Baghous, Chukwugozie J. Ejeh, Imad Barsoum and Rashid K. Abu Al-Rub
Polymers 2023, 15(19), 3858; https://doi.org/10.3390/polym15193858 - 22 Sep 2023
Cited by 6 | Viewed by 1552
Abstract
Metamaterials are architected cellular materials, also known as lattice materials, that are inspired by nature or human engineering intuition, and provide multifunctional attributes that cannot be achieved by conventional polymeric materials and composites. There has been an increasing interest in the design, fabrication, [...] Read more.
Metamaterials are architected cellular materials, also known as lattice materials, that are inspired by nature or human engineering intuition, and provide multifunctional attributes that cannot be achieved by conventional polymeric materials and composites. There has been an increasing interest in the design, fabrication, and testing of polymeric metamaterials due to the recent advances in digital design methods, additive manufacturing techniques, and machine learning algorithms. To this end, the present review assembles a collection of recent research on the design, fabrication and testing of polymeric metamaterials, and it can act as a reference for future engineering applications as it categorizes the mechanical properties of existing polymeric metamaterials from literature. The research within this study reveals there is a need to develop more expedient and straightforward methods for designing metamaterials, similar to the implicitly created TPMS lattices. Additionally, more research on polymeric metamaterials under more complex loading scenarios is required to better understand their behavior. Using the right machine learning algorithms in the additive manufacturing process of metamaterials can alleviate many of the current difficulties, enabling more precise and effective production with product quality. Full article
(This article belongs to the Special Issue Polymeric Metamaterials: Design, Fabrication, Testing and Modeling)
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