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Smart material

About: Smart material is a research topic. Over the lifetime, 3704 publications have been published within this topic receiving 74280 citations. The topic is also known as: intelligent material & responsive material.


Papers
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Journal ArticleDOI
TL;DR: In this article, the integration of a polyester textile of a bi-layer (BL) film based on a polymeric matrix containing a top-layer of a microcrystalline network of an organic conductor is described.
Abstract: The integration of smart materials into human wearable interfaces is a current topic of interest. This paper reports the integration into a polyester textile of a bi-layer (BL) film based on a polymeric matrix containing a top-layer of a microcrystalline network of an organic conductor. The resulting textiles, in addition to be conducting, exhibit the excellent strain sensing properties of BL films maintaining at the same time their flexibility.

25 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used CaZnOS:Er3+ to demonstrate Mechanoluminescence (ML) on multiple spectral bands, including 510-538 nm, 538-570 nm, 640-680 nm, 845-880 nm, 960-1000 nm, and 1450-1700 nm.

25 citations

Journal ArticleDOI
TL;DR: In this article, a multiscale modeling approach to simulate the self-sensing behavior of a load sensitive smart polymer material is presented, where a statistical spring-bead based network model is developed to bridge the molecular dynamics simulations at the nanoscale and the finite element model at the macroscale.
Abstract: This paper presents a multiscale modeling approach to simulating the self-sensing behavior of a load sensitive smart polymer material. A statistical spring-bead based network model is developed to bridge the molecular dynamics simulations at the nanoscale and the finite element model at the macroscale. Parametric studies are conducted on the developed network model to investigate the effects of the thermoset crosslinking degree on the mechanical response of the self-sensing material. A comparison between experimental and simulation results shows that the multiscale framework is able to capture the global mechanical response with adequate accuracy and the network model is also capable of simulating the self-sensing phenomenon of the smart polymer. Finally, the molecular dynamics simulation and network model based simulation are implemented to evaluate damage initiation in the self-sensing material under monotonic loading.

25 citations

Journal ArticleDOI
TL;DR: Asymptotic formulae for the mechanical and electric fields in a piezoelectric body with a small void are derived and justified and can be used in numerical procedures of optimal design for smart materials.
Abstract: Asymptotic formulae for the mechanical and electric fields in a piezoelectric body with a small void are derived and justified. Such results are new and useful for applications in the field of design of smart materials. In this way the topological derivatives of shape functionals are obtained for piezoelectricity. The asymptotic formulae are given in terms of the so-called polarization tensors (matrices), which are determined by the integral characteristics of voids. The distinguishing feature of the piezoelectricity boundary value problems under consideration is the absence of positive definiteness of a differential operator which is non-self-adjoint. Two specific Gibbs functionals of the problem are defined by the energy and the electric enthalpy. The topological derivatives are defined in different manners for each of the governing functionals. Actually, the topological derivative of the enthalpy functional is local, i.e., defined by the pointwise values of the mechanical and electric fields, which is contrary to the energy functional and some other suitable shape functionals which admit nonlocal topological derivatives, i.e., depending on the whole problem data. An example with weak interaction between mechanical and electric fields provides the analytic asymptotic expansions and can be used in numerical procedures of optimal design for smart materials.

25 citations

Journal ArticleDOI
TL;DR: Shape memory polymers (SMPs) have gained increasing attention in academic research and industrial developments (e.g., biomedical engineering, aerospace, robotics, automotive industries, and smart textiles).
Abstract: Shape memory polymers (SMPs) as a relatively new class of smart materials have gained increasing attention in academic research and industrial developments (eg, biomedical engineering, aerospace, robotics, automotive industries, and smart textiles) SMPs can switch their shape, stiffness, size, and structure upon being exposed to external stimuli Electrospinning technique can endow SMPs with micro-/nanocharacteristics for enhanced performance in biomedical applications Dynamically changing micro-/nanofibrous structures have been widely investigated to emulate the dynamical features of the ECM and regulate cell behaviors Structures such as core-shell fibers, developed by coaxial electrospinning, have also gained potential applications as drug carriers and artificial blood vessels The clinical applications of micro-/nanostructured SMP fibers include tissue regeneration, regulating cell behavior, cell growth templates, and wound healing This review presents the molecular architecture of SMPs, the recent developments in electrospinning techniques for the fabrication of SMP micro-/nanofibers, the biomedical applications of SMPs as well as future perspectives for providing dynamic biomaterials structures

25 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023168
2022315
2021268
2020250
2019252
2018239