• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Engineering
    • Aerospace Engineering
    • AE Research Publications
    • View Item
    •   Shocker Open Access Repository Home
    • Engineering
    • Aerospace Engineering
    • AE Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Incorporation of physics-based machining models in real-time decision making via metamodels

    View/Open
    Sharma_2017.pdf (502.8Kb)
    Date
    2017
    Author
    Sharma, Bhisham N.
    Harikrishnan, Rishab V.
    McCrorie, Stuart B.
    Conner, Marc C.
    Salahshoor, Meisam
    Deshmukh, Abhijit V.
    Sangid, Michael D.
    Metadata
    Show full item record
    Citation
    Sharma, Bhisham N.; Harikrishnan, Rishab V.; McCrorie, Stuart B.; Conner, Marc C.; Salahshoor, Meisam; Deshmukh, Abhijit V.; Sangid, Michael D. 2017. Incorporation of physics-based machining models in real-time decision making via metamodels. Procedia Manufacturing, vol. 10, 2017:pp 1109-1117
    Abstract
    Physics-based machining models typically require significant computational resources and time which makes them impractical for quick process optimization calculations in an industrial shop-floor setting. In this paper, we demonstrate the use of metamodeling to help overcome the inefficiency of traditional engineering modeling tools. Metamodels are surrogate models of an existing model that provide an approximate relationship between a set of input process variables and output response variables. Using 2D orthogonal machining as a case study, we utilize the Response Surface Methodology to develop surrogate models which provide approximate relationships between machining variables such as cutting tool speed, depth of cut, rake angle, and tool and workpiece materials, and response variables such as maximum residual stress, residual stress transition depth, surface hardness, tool wear, and wear depth. The Kriging interpolation method is used to generate response surface maps. Finally, we develop the idea of a mobile application which can be easily deployed in an industrial setting to efficiently use such metamodels for physics-based decision making during the initial manufacturing process development phase.
    Description
    Open access. Under a Creative Commons license. Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license. Icons by The Noun Project.
    URI
    http://dx.doi.org/10.1016/j.promfg.2017.07.101
    http://hdl.handle.net/10057/14078
    Collections
    • AE Research Publications

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2022  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV