Topic
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.
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TL;DR: In this article, a spline-based method for approximating thin shell dynamics is presented, which can be easily extended to the Byrne-Flugge-Lur'ye equations or other models for shells of revolution as warranted by applications.
Abstract: : A spline-based method for approximating thin shell dynamics is presented here. While the method is developed in the context of the Donnell-Mushtari thin shell equations, it can be easily extended to the Byrne-Flugge-Lur'ye equations or other models for shells of revolution as warranted by applications. The primary requirements for the method include accuracy, flexibility and efficiency in smart material applications. To accomplish this, the method was designed to be flexible with regard to boundary conditions, material nonhomogeneities due to sensors and actuators, and inputs from smart material actuators such as piezoceramic patches. The accuracy of the method was also of primary concern, both to guarantee full resolution of structural dynamics and to facilitate the development of PDE-based controllers which ultimately require real-time implementation. Several numerical examples provide initial evidence demonstrating the efficacy of the method.
20 citations
TL;DR: In this paper, the sensing capabilities of ionic polymer-metal composite (abbreviated IPMC) samples were investigated, and the aging aspect of the IPMC was considered: the comparison between previously used and newly acquired samples to study fatigue parameters on sensing response was researched.
Abstract: An ionic polymer-metal composite (abbreviated IPMC) is a smart material consisting of two layers of noble metal and an ion-conducting layer between them. Smart materials are generally capable of actuating and sensing. Mechanical deformation of the IPMC beam produces an electrical potential difference (in the order of mV) proportional to the deformation of the ion-conducting layer. In this paper, the sensing capabilities of IPMC samples were investigated. The composites were manufactured in the form of thin plates (0.3 mm) cut into rectangular samples. The aging aspect of the IPMC was considered: the comparison between previously used and newly-acquired samples to study fatigue parameters on sensing response was researched. The response of the samples in various frequencies was tested for each sample and for two mechanically and electrically coupled samples. Finally, certain applications of IPMC are proposed, based on these measurements.
20 citations
01 Dec 2010
TL;DR: This paper meets all regulations for public information disclosure under ITAR and EAR.
Abstract: The Society is not responsible for statements or opinions in papers or discussions at the meeting. This paper meets all regulations for public information disclosure under ITAR and EAR.
19 citations
Abstract: At present, owing predominantly to advances in measurement technology and microprocessor control, development of a new generation of smart materials may lead to widespread adoption of semi-active d...
19 citations
01 Jan 2018
TL;DR: In this paper, the problem of material properties identification for modern active composites is closely connected to the state-of-the-art methods of design and manufacturing using composite and smart materials.
Abstract: The problem of material properties identification for modern active composites is closely connected to the state of the art methods of design and manufacturing using composite and smart materials. This chapter deals with computer design of multiscale two-phase piezomagnetoelectric (magnetoelectric) bulk composites in finite element software ACELAN-COMPOS. These composites consist of piezomagnetic and piezoelectric fractions of irregular structures. The complex approach for the homogenization problem of such composites include the effective moduli method, computer modeling of the representative volumes with microstructure features, and the finite element technologies for solving the static problems for the representative volumes. Representative volumes are widely used as geometrical models for such problems. The three-dimensional application is demonstrated for piezomagnetoelectric and piezoelectric materials. A specific set of boundary conditions applied to the representative volume enables us to determine effective moduli of the material. The first step of such modeling consists in describing a material distribution inside the representative volumes with a known percentage of each material. Three algorithms were created to simulate random material distribution for specific patterns: biphasic composite with connectivity of each phase, granules of predefined size and regular rods.
19 citations