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Decomposition of cutting forces in quasi-orthogonal CNC milling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F19%3A43916903" target="_blank" >RIV/62156489:43410/19:43916903 - isvavai.cz</a>

  • Result on the web

    <a href="http://wtd.sggw.pl/pix/files/105.pdf" target="_blank" >http://wtd.sggw.pl/pix/files/105.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decomposition of cutting forces in quasi-orthogonal CNC milling

  • Original language description

    The paper is focused on the analysis of cutting forces in milling of MDF boards on the CNC machine called SCM Tech 99 L. The Kistler 9257 B is top-of-the-line dynamometer with DynoWare software used to measure power and analyse data. The forces were examined and analysed using quasi-orthogonal milling with a single-edged blade. The resulting force values were compared with each other depending on the conventional and climb milling of the edge of the MDF board at various feed speeds.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20502 - Paper and wood

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Annals of Warsaw University of Life Sciences SGGW. Forestry and Wood Technology

  • ISSN

    1898-5912

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    105

  • Country of publishing house

    PL - POLAND

  • Number of pages

    8

  • Pages from-to

    12-19

  • UT code for WoS article

  • EID of the result in the Scopus database