YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • 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

    Computational Model for Hot Deformation Behavior of AA2024/SiC Composites Emphasizing the Effect of Volume Fraction and Particle Size

    Source: Journal of Manufacturing Science and Engineering:;2025:;volume( 147 ):;issue: 002::page 21012-1
    Author:
    Hashmi, Anisah Farooq
    ,
    Li, Fuguo
    ,
    Zhao, Qian
    ,
    Li, Qinghua
    ,
    Zhu, E.
    ,
    Tanveer, Muhammad
    ,
    Gopi, K. R.
    DOI: 10.1115/1.4067326
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The hot deformation behavior of AA2024/SiC composite was investigated by experimental and finite element simulation (FEM) methods. The influence of different particle volume fractions (VFs) and sizes on the mechanical behavior of AA2024/SiC composites was studied. An integrated numerical model was developed using a modified Johnson–Cook model for the AA2024 matrix implemented via VUHARD subroutine and the Johnson–Holmquist model 2 for the SiC particles. Simulations were performed at higher temperatures (673–753 K) and varying strain rates (0.01–1 s−1) within a random microstructure-based FEM framework using abaqus. The FEM results are in close agreement with the experimental data, particularly in the true stress–strain curves, indicating that the developed FEM model effectively captures the hot workability of AA2024/SiC composites under varying temperature conditions, SiC volume fractions, and particle sizes (PSs). The results showed that the reinforcement of SiC particles into the AA2024 matrix significantly improved its hot workability by reducing dislocation mobility. The flow stress of composites increased with SiC content and decreased with the reinforcement particle size. The composites reinforced with 5 µm SiC particles had a higher peak flow stress of 145.945 MPa than the others at 673 K and a strain rate of 1 s−1. Similarly, at constant temperature and strain rate, the peak flow stress of the composite material increased from 87 MPa to 145.945 MPa (PS = 5 µm at 673 K and strain rate 1 s−1) as the VF increased from 1% to 20%.
    • Download: (3.378Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Computational Model for Hot Deformation Behavior of AA2024/SiC Composites Emphasizing the Effect of Volume Fraction and Particle Size

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4305650
    Collections
    • Journal of Manufacturing Science and Engineering

    Show full item record

    contributor authorHashmi, Anisah Farooq
    contributor authorLi, Fuguo
    contributor authorZhao, Qian
    contributor authorLi, Qinghua
    contributor authorZhu, E.
    contributor authorTanveer, Muhammad
    contributor authorGopi, K. R.
    date accessioned2025-04-21T10:10:40Z
    date available2025-04-21T10:10:40Z
    date copyright1/17/2025 12:00:00 AM
    date issued2025
    identifier issn1087-1357
    identifier othermanu_147_2_021012.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305650
    description abstractThe hot deformation behavior of AA2024/SiC composite was investigated by experimental and finite element simulation (FEM) methods. The influence of different particle volume fractions (VFs) and sizes on the mechanical behavior of AA2024/SiC composites was studied. An integrated numerical model was developed using a modified Johnson–Cook model for the AA2024 matrix implemented via VUHARD subroutine and the Johnson–Holmquist model 2 for the SiC particles. Simulations were performed at higher temperatures (673–753 K) and varying strain rates (0.01–1 s−1) within a random microstructure-based FEM framework using abaqus. The FEM results are in close agreement with the experimental data, particularly in the true stress–strain curves, indicating that the developed FEM model effectively captures the hot workability of AA2024/SiC composites under varying temperature conditions, SiC volume fractions, and particle sizes (PSs). The results showed that the reinforcement of SiC particles into the AA2024 matrix significantly improved its hot workability by reducing dislocation mobility. The flow stress of composites increased with SiC content and decreased with the reinforcement particle size. The composites reinforced with 5 µm SiC particles had a higher peak flow stress of 145.945 MPa than the others at 673 K and a strain rate of 1 s−1. Similarly, at constant temperature and strain rate, the peak flow stress of the composite material increased from 87 MPa to 145.945 MPa (PS = 5 µm at 673 K and strain rate 1 s−1) as the VF increased from 1% to 20%.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComputational Model for Hot Deformation Behavior of AA2024/SiC Composites Emphasizing the Effect of Volume Fraction and Particle Size
    typeJournal Paper
    journal volume147
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4067326
    journal fristpage21012-1
    journal lastpage21012-19
    page19
    treeJournal of Manufacturing Science and Engineering:;2025:;volume( 147 ):;issue: 002
    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