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Experimental study of milling wood surface properties (roughness)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F13%3A00205088" target="_blank" >RIV/62156489:43410/13:00205088 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G43__/13:00498083

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental study of milling wood surface properties (roughness)

  • Original language description

    This paper reports the results of experiments to investigate surface roughness during milling of european and tropical woods (beech, spruce, merbau and jatoba). A standard CNC router were used in the tests. The evaluation was performed using 3D surface profiling system and non-contact method.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JQ - Machinery and tools

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0269" target="_blank" >EE2.3.20.0269: The establishment of an international research team for the development of new wood-based materials</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • 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

  • Issue of the periodical within the volume

    81

  • Country of publishing house

    PL - POLAND

  • Number of pages

    6

  • Pages from-to

    217-222

  • UT code for WoS article

  • EID of the result in the Scopus database