YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • 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.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-5 of 5

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Fault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 003:;page 31003
    Author(s): Bastani, Kaveh; Barazandeh, Babak; Kong, Zhenyu (James)
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of fault diagnosis for dimensional integrity in multistation assembly systems is addressed in this paper. Fault diagnosis under this context is to identify the process errors which significantly contribute to ...
    Request PDF

    MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 145 ):;issue: 003:;page 31004-1
    Author(s): Wang, Yinan; Sun, Wenbo; Jin, Jionghua (Judy); Kong, Zhenyu (James); Yue, Xiaowei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface defect identification methods have been ...
    Request PDF

    Real Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 002:;page 21008
    Author(s): Rao, Prahalad; Bukkapatnam, Satish; Beyca, Omer; Kong, Zhenyu (James); Komanduri, Ranga
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Realtime monitoring and control of surface morphology variations in their incipient stages are vital for assuring nanometric range finish in the ultraprecision machining (UPM) process. A realtime monitoring approach, based ...
    Request PDF

    Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 009:;page 91005
    Author(s): Samie Tootooni, M.; Dsouza, Ashley; Donovan, Ryan; Rao, Prahalad K.; Kong, Zhenyu (James); Borgesen, Peter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objective of this work is to develop and apply a spectral graph theoretic approach for differentiating between (classifying) additive manufactured (AM) parts contingent on the severity of their dimensional variation ...
    Request PDF

    Online Real Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 006:;page 61007
    Author(s): Rao, Prahalad K.; Liu, Jia (Peter); Roberson, David; Kong, Zhenyu (James); Williams, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objective of this work is to identify failure modes and detect the onset of process anomalies in additive manufacturing (AM) processes, specifically focusing on fused filament fabrication (FFF). We accomplish this ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    ... View More

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian