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Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU131408" target="_blank" >RIV/00216305:26210/18:PU131408 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mmscience.eu/journal/issues/november-2018/articles/usage-of-the-fuzzy-logic-to-predict-surface-quality-of-machined-parts-during-milling-opeartion" target="_blank" >https://www.mmscience.eu/journal/issues/november-2018/articles/usage-of-the-fuzzy-logic-to-predict-surface-quality-of-machined-parts-during-milling-opeartion</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17973/MMSJ.2018_11_201824" target="_blank" >10.17973/MMSJ.2018_11_201824</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Usage of the fuzzy logic to predict surface quality of machined parts during milling opeartion

  • Original language description

    High level of the quality requirements of machined parts is the standard, which is not unique only for automotive industry, but in industry general. The quality of the product surface roughness is key parameter for every machined product, one of the process with the high influence to surface quality is the milling process. In this article is used fuzzy logic to predict the surface quality by milling operation. Based on milling process parameters and measured data, the surface quality will be estimated using the Fuzzy Inference System (FIS)

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

    <a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    MM Science Journal

  • ISSN

    1803-1269

  • e-ISSN

    1805-0476

  • Volume of the periodical

    2018

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    2547-2551

  • UT code for WoS article

    000532566800010

  • EID of the result in the Scopus database

    2-s2.0-85057335017