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    Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning

    New search for: Kumar, Raman
    New search for: Rafighi, Mohammad
    New search for: Özdemir, Mustafa
    New search for: Şahinoğlu, Abidin
    New search for: Kulshreshta, Ankur
    New search for: Singh, Jagdeep
    New search for: Singh, Sehijpal
    New search for: Prakash, Chander
    New search for: Bhowmik, Abhijit

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    Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning

    New search for: Kumar, Raman
    New search for: Rafighi, Mohammad
    New search for: Özdemir, Mustafa
    New search for: Şahinoğlu, Abidin
    New search for: Kulshreshta, Ankur
    New search for: Singh, Jagdeep
    New search for: Singh, Sehijpal
    New search for: Prakash, Chander
    New search for: Bhowmik, Abhijit

    Access

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    Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning

    New search for: Kumar, Raman
    New search for: Rafighi, Mohammad
    New search for: Özdemir, Mustafa
    New search for: Şahinoğlu, Abidin
    New search for: Kulshreshta, Ankur
    New search for: Singh, Jagdeep
    New search for: Singh, Sehijpal
    New search for: Prakash, Chander
    New search for: Bhowmik, Abhijit

    Access

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    Check availability in my library
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    Title:

    Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning

    Additional title:

    Int J Interact Des Manuf

    Contributors:

    Kumar, Raman (author) / Rafighi, Mohammad (author) / Özdemir, Mustafa (author) / Şahinoğlu, Abidin (author) / Kulshreshta, Ankur (author) / Singh, Jagdeep (author) / Singh, Sehijpal (author) / Prakash, Chander (author) / Bhowmik, Abhijit (author)

    Published in:

    International Journal on Interactive Design and Manufacturing (IJIDeM)

    Publication date:

    2024-11-15

    ISSN:

    1955-2505

    DOI:

    https://doi.org/10.1007/s12008-024-02166-6

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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