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Modeling of CNC Machining Process - Artificial Neural Networks Approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F13%3A43869947" target="_blank" >RIV/70883521:28110/13:43869947 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling of CNC Machining Process - Artificial Neural Networks Approach

  • Original language description

    CNC machining is known as an advanced machining process increasingly used for modern materials. This paper outlines modeling methodology applied to optimize cutting parameters during CNC milling with ball end mill tool. The parameters taken into accountwere radial depth of cut and feed per tooth. A predictive model was based on artificial neural network approach

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JP - Industrial processes and processing

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Recent, Advances in Automatic Control, Information and Communications 14th International Conference on Automation and Information (ICAI´13) 13th International Conference on Applied Informatics and Communications (AIC´13)

  • ISBN

    978-960-474-316-2

  • ISSN

    1790-5117

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    168-173

  • Publisher name

    WSEAS World Science and Engineering Academy and Science

  • Place of publication

    Atény

  • Event location

    Valencie

  • Event date

    Aug 6, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article