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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.


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Journal ArticleDOI
TL;DR: In this paper, a smart way to actuate and control the airfoil shape of a morphing wing in the open-loop architecture is presented, using smart material actuators such as shape memory alloys, disposed in two parallel actuation lines, and its control is performed with a Mamdani-type fuzzy logic proportional derivative controller.
Abstract: This paper presents a smart way to actuate and control the airfoil shape of a morphing wing in the open-loop architecture. The actuation system uses smart material actuators such as shape memory alloys, disposed in two parallel actuation lines, and its control is performed with a Mamdani-type fuzzy logic proportional derivative (PD) controller. The morphing wing project description, its actuation system structure, and the control design and validation are highlighted in this paper. The results obtained by both numerical simulation and experimental validation (bench tests and wind-tunnel tests) are presented as part of the control design and validation. An analysis of the wind flow characteristics, based on the information provided by the pressure sensors mounted on the flexible skin of the morphing wing in the wind-tunnel tests, is included as a supplementary validation; the transition between laminar and turbulent flows is real-time visualized, and the aerodynamic efficiency of the controlled mor...

18 citations

DissertationDOI
01 Jan 2015
TL;DR: In this article, the microstructure-property mechanism relations in two representative ferroic composites, i.e., two-phase particulate magnetoelectric (ME) composite and polymer matrix ferroelectric composite, were investigated.
Abstract: Ferroic materials, as notable members of smart materials, have been widely used in applications that perform sensing, actuation and control. The macroscopic property change of ferroic materials may become remarkably large during ferroic phase transition, leading to the fact that the macroscopic properties can be tuned by carefully applying a suitable external field (electric, magnetic, stress). To obtain an enhancement in physical and/or mechanical properties, different kinds of ferroic composites have been fabricated. The properties of a ferroic composite are determined not only by the properties and relative amounts of the constituent phases, but also by the microstructure of individual phase such as the phase connectivity, phase size, shape and spatial arrangement. This dissertation mainly focuses on the computational study of microstructure – property – mechanism relations in two representative ferroic composites, i.e., two-phase particulate magnetoelectric (ME) composite and polymer matrix ferroelectric composite. The former is a great example of ferroic composite exhibiting a new property and functionality that neither of the constituent phases possesses individually. The latter well represents the kind of ferroic composites having property combinations that are better than the existing materials. Phase field modeling was employed as the computing tool, and the required models for ferroic composites were developed based on existing models for monolithic materials. Extensive computational simulations were performed to investigate the microstructure-

18 citations

Journal ArticleDOI
TL;DR: Several simple experiments that illustrate the shape-memory, mechanical, and acoustical properties of Nitinol are presented in this article, where the shape memory and mechanical properties are discussed.
Abstract: Several simple experiments that illustrate the shape-memory, mechanical, and acoustical properties of Nitinol.

18 citations

Proceedings ArticleDOI
04 Jun 1999
TL;DR: In this article, the authors present a preliminary analysis of a new class of automotive skins, using piezoceramic as a smart material, which can be integrally designed with active materials to counter damages.
Abstract: New class of automobiles has structural skins that are quite different from their current designs. Particularly, new families of composite skins are developed with new injection molding processes. These skins while support the concept of lighter vehicles of the future, are also susceptible to damage upon impact. It is important that their design should be based on a better understanding on the type of impact loads and the resulting strains and damage. It is possible that these skins can be integrally designed with active materials to counter damages. This paper presents a preliminary analysis of a new class of automotive skins, using piezoceramic as a smart material. The main objective is to consider the complex system with, the skin to be modeled as a layered plate structure involving a lightweight material with foam and active materials imbedded on them. To begin with a cantilever beam structure is subjected to a load through piezoceramic and the resulting strain at the active material site is predicted accounting for the material properties, piezoceramic thickness, adhesive thickness including the effect of adhesives. A finite element analysis is carried out to compare experimental work. Further work in this direction would provide an analytical tool that will provide the basis for algorithms to predict and counter impacts on the future class of automobiles.

18 citations

Journal ArticleDOI
TL;DR: In this paper, the concept of smart materials has been engaged in order to control and abate the vibrations of non-linear beams, and flexural vibration of viscoelastic has been taken into account aimed at reinforcing the carbon nanotube beams.
Abstract: In this paper, the concept of smart materials has been engaged in order to control and abate the vibrations of non-linear beams. In the meantime, flexural vibration of viscoelastic has been taken into account aimed at reinforcing the carbon nanotube beams. This theory has applied the viscoelastic model to draw out the classical viscoelastic Kelvin–Voigt model. Likewise, the Hamilton’s principle has been employed to derive the non-linear differential equations of beam’s motion as for the piezoelectric patches and also the multiple scales method has been engaged in order to solve the non-linear equation of system motion. A fuzzy controller has been desirably arranged in the piezoelectric actuator/sensor loop to reduce the forced vibrations for any arbitrary stimulation. Due to majestic efficiency of the Bees Algorithm (BA) in the solution of many different engineering problems, it has been engaged for this work. To ensure and confirm the robustness of the proposed approach, three different conditions of for...

17 citations


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