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    Optimum power of a nonlinear piezomagnetoelastic energy harvester with using multidisciplinary optimization algorithms

    , Article Journal of Intelligent Material Systems and Structures ; 2020 Tahmasbi, M ; Jamshiddoust, A ; Farrokhabadi, A ; Sharif University of Technology
    SAGE Publications Ltd  2020
    Abstract
    Energy-harvesting devices have been widely used to generate electrical power. Through the use of energy harvesting techniques, ambient vibration energy can be captured and converted into usable electricity in order to create self-powering systems. In the present study, to further improve the efficiency of energy-harvesting devices, a nonlinear piezomagnetoelastic energy harvester is proposed in two different configurations that is parallel and series. In order to optimize the generated electrical power, the physical parameters of the harvester are chosen as the design variables. Classical and Metaheuristic algorithms, namely, random search, genetic algorithm, and simulated annealing are... 

    Investigation of the equivalent material properties and failure stress of the re-entrant composite lattice structures using an analytical model

    , Article Composite Structures ; 2020 Veisi, H ; Farrokhabadi, A ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    In the present study, a novel theoretical model is developed, based on classical laminate theory, to predict the equivalent mechanical properties of the re-entrant lattice structures, which composed of continuous fiber reinforced composite struts. Three main mechanism of stretching, flexing and hinging are considered and a general closed-form formulation is derived to estimate the auxetic honeycomb's elastic and shear modulus as well as Poisson's ratios. In spite of previous studies in which the response of honeycomb structures is modeled using beam theory, here, each strut of unit cell is expressed as a composite laminate with orthotropic mechanical properties and classical laminate theory... 

    Optimum power of a nonlinear piezomagnetoelastic energy harvester with using multidisciplinary optimization algorithms

    , Article Journal of Intelligent Material Systems and Structures ; Volume 32, Issue 8 , 2021 , Pages 889-903 ; 1045389X (ISSN) Tahmasbi, M ; Jamshiddoust, A ; Farrokhabadi, A ; Sharif University of Technology
    SAGE Publications Ltd  2021
    Abstract
    Energy-harvesting devices have been widely used to generate electrical power. Through the use of energy harvesting techniques, ambient vibration energy can be captured and converted into usable electricity in order to create self-powering systems. In the present study, to further improve the efficiency of energy-harvesting devices, a nonlinear piezomagnetoelastic energy harvester is proposed in two different configurations that is parallel and series. In order to optimize the generated electrical power, the physical parameters of the harvester are chosen as the design variables. Classical and Metaheuristic algorithms, namely, random search, genetic algorithm, and simulated annealing are...