YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Tribology
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Tribology
    • 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

    Tribological Behavior of AA-6063 Cast Using In Situ Microwave Process by Taguchi Method and ANFIS Model

    Source: Journal of Tribology:;2023:;volume( 145 ):;issue: 009::page 91107-1
    Author:
    Gangwar, Vaibhav
    ,
    Kumar, Sudhir
    ,
    Singh, Hari
    DOI: 10.1115/1.4062371
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Tribological behavior of AA-6063 casted by microwave casting process was investigated. In this work, sliding wear analysis has been done on in situ cast developed through the novel technique. The in situ cast of AA-6063 was developed using microwave irradiation. Sliding wear process parameters such as normal load, sliding velocity, and sliding distance are optimized through the Taguchi technique. L9 orthogonal array and signal-to-noise (S/N) analysis are used to obtain the optimum process parameters for wear-rate (WR) as the selected response. After optimization, a confirmatory test was performed using the analysis of variance (ANOVA). Scanning electron microscopy (SEM) images, energy-dispersive X-ray spectroscopy (EDS) images, and frictional characterization were used to study the mechanism of wear. By using the experimental data, an adaptive neuro fuzzy inference system (ANFIS) model has been developed and which was further tested using average wear-rate.
    • Download: (1.566Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Tribological Behavior of AA-6063 Cast Using In Situ Microwave Process by Taguchi Method and ANFIS Model

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4294958
    Collections
    • Journal of Tribology

    Show full item record

    contributor authorGangwar, Vaibhav
    contributor authorKumar, Sudhir
    contributor authorSingh, Hari
    date accessioned2023-11-29T19:41:32Z
    date available2023-11-29T19:41:32Z
    date copyright5/25/2023 12:00:00 AM
    date issued5/25/2023 12:00:00 AM
    date issued2023-05-25
    identifier issn0742-4787
    identifier othertrib_145_9_091107.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294958
    description abstractTribological behavior of AA-6063 casted by microwave casting process was investigated. In this work, sliding wear analysis has been done on in situ cast developed through the novel technique. The in situ cast of AA-6063 was developed using microwave irradiation. Sliding wear process parameters such as normal load, sliding velocity, and sliding distance are optimized through the Taguchi technique. L9 orthogonal array and signal-to-noise (S/N) analysis are used to obtain the optimum process parameters for wear-rate (WR) as the selected response. After optimization, a confirmatory test was performed using the analysis of variance (ANOVA). Scanning electron microscopy (SEM) images, energy-dispersive X-ray spectroscopy (EDS) images, and frictional characterization were used to study the mechanism of wear. By using the experimental data, an adaptive neuro fuzzy inference system (ANFIS) model has been developed and which was further tested using average wear-rate.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTribological Behavior of AA-6063 Cast Using In Situ Microwave Process by Taguchi Method and ANFIS Model
    typeJournal Paper
    journal volume145
    journal issue9
    journal titleJournal of Tribology
    identifier doi10.1115/1.4062371
    journal fristpage91107-1
    journal lastpage91107-13
    page13
    treeJournal of Tribology:;2023:;volume( 145 ):;issue: 009
    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