YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Optimal Control of Material Microstructures1

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 006::page 61109-1
    Author:
    Sharma, Aayushman
    ,
    Mao, Zirui
    ,
    Yang, Haiying
    ,
    Chakravorty, Suman
    ,
    Demkowicz, Michael J.
    ,
    Kalathil, Dileep
    DOI: 10.1115/1.4065801
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we consider the optimal control of material microstructures. Such material microstructures are modeled by the so-called phase-field model. We study the underlying physical structure of the model and propose a data-based approach for its optimal control, along with a comparison to the control using a state-of-the-art reinforcement learning (RL) algorithm. Simulation results show the feasibility of optimally controlling such microstructures to attain desired material properties and complex target microstructures.
    • Download: (5.549Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Optimal Control of Material Microstructures1

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302823
    Collections
    • Journal of Dynamic Systems, Measurement, and Control

    Show full item record

    contributor authorSharma, Aayushman
    contributor authorMao, Zirui
    contributor authorYang, Haiying
    contributor authorChakravorty, Suman
    contributor authorDemkowicz, Michael J.
    contributor authorKalathil, Dileep
    date accessioned2024-12-24T18:49:38Z
    date available2024-12-24T18:49:38Z
    date copyright8/24/2024 12:00:00 AM
    date issued2024
    identifier issn0022-0434
    identifier otherds_146_06_061109.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302823
    description abstractIn this paper, we consider the optimal control of material microstructures. Such material microstructures are modeled by the so-called phase-field model. We study the underlying physical structure of the model and propose a data-based approach for its optimal control, along with a comparison to the control using a state-of-the-art reinforcement learning (RL) algorithm. Simulation results show the feasibility of optimally controlling such microstructures to attain desired material properties and complex target microstructures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Control of Material Microstructures1
    typeJournal Paper
    journal volume146
    journal issue6
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4065801
    journal fristpage61109-1
    journal lastpage61109-15
    page15
    treeJournal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian