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    Synchronization Via Fractal–Fractional Differential Operators on Two-Mass Torsional Vibration System Consisting of Motor and Roller

    Source: Journal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 012::page 0121002-1
    Author:
    Abro, Kashif Ali
    ,
    Atangana, Abdon
    DOI: 10.1115/1.4052189
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to increasing demand of lightweight shafts from industries, the drive systems are crucially demanded for larger inertias of motors and load machines because of control structures for the electrical equipment. The mathematical modeling of two-mass torsional vibration system consisting of motor and roller has been proposed via newly presented fractal–fractional differential operators. The dynamical model of the electromechanical coupling main drive system of rolling mill is based on total kinetic energy and potential energy on the basis of two degree-of-freedom. The fractal and fractional evolutionary differential equation containing nonlinearity have been investigated for the derivation of numerical schemes. Three types of numerical schemes say Caputo differential scheme, Caputo–Fabrizio differential scheme, and Atangana–Baleanu differential scheme have been established through Adams–Bashforth–Moulton method. In order to check the stability and effectiveness, we presented the chaotic comparison of Caputo fractal– fractional operator, Caputo–Fabrizio fractal–fractional operator, and Atangana fractal–fractional operator on the basis of dynamical embedded parameters (vibration angle, rotational speed, stiffness coefficient, load friction damping torque, and few others). Our results suggest that fractal–fractionalized model for electromechanical drive system of rolling mill has better attenuation performance and tracking behaviors in comparison with classical models.
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      Synchronization Via Fractal–Fractional Differential Operators on Two-Mass Torsional Vibration System Consisting of Motor and Roller

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    contributor authorAbro, Kashif Ali
    contributor authorAtangana, Abdon
    date accessioned2022-02-06T05:25:37Z
    date available2022-02-06T05:25:37Z
    date copyright9/22/2021 12:00:00 AM
    date issued2021
    identifier issn1555-1415
    identifier othercnd_016_12_121002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278004
    description abstractDue to increasing demand of lightweight shafts from industries, the drive systems are crucially demanded for larger inertias of motors and load machines because of control structures for the electrical equipment. The mathematical modeling of two-mass torsional vibration system consisting of motor and roller has been proposed via newly presented fractal–fractional differential operators. The dynamical model of the electromechanical coupling main drive system of rolling mill is based on total kinetic energy and potential energy on the basis of two degree-of-freedom. The fractal and fractional evolutionary differential equation containing nonlinearity have been investigated for the derivation of numerical schemes. Three types of numerical schemes say Caputo differential scheme, Caputo–Fabrizio differential scheme, and Atangana–Baleanu differential scheme have been established through Adams–Bashforth–Moulton method. In order to check the stability and effectiveness, we presented the chaotic comparison of Caputo fractal– fractional operator, Caputo–Fabrizio fractal–fractional operator, and Atangana fractal–fractional operator on the basis of dynamical embedded parameters (vibration angle, rotational speed, stiffness coefficient, load friction damping torque, and few others). Our results suggest that fractal–fractionalized model for electromechanical drive system of rolling mill has better attenuation performance and tracking behaviors in comparison with classical models.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSynchronization Via Fractal–Fractional Differential Operators on Two-Mass Torsional Vibration System Consisting of Motor and Roller
    typeJournal Paper
    journal volume16
    journal issue12
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4052189
    journal fristpage0121002-1
    journal lastpage0121002-13
    page13
    treeJournal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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