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A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F22%3A10251075" target="_blank" >RIV/61989100:27230/22:10251075 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:000902154700001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:000902154700001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/app122412589" target="_blank" >10.3390/app122412589</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters

  • Original language description

    This study deals with the selection of the cutting process using the grey fuzzy relation approach. The analysis was performed using plasma arc machining, laser beam machining, and abrasive waterjet machining on three different workpiece thicknesses with different cutting speeds. The objective was to select the best cutting process considering several performance characteristics such as machining time, dimensional accuracy, kerf width, and surface roughness. Data normalization, grey relation coefficients, fuzzy inference system, and grey fuzzy relation grade are used to evaluate the machining performances of the machining processes. The developed fuzzy model can be used to study the effects of different cutting processes on technological features. The results show that the grey fuzzy technique can be effectively used for the analysis and selection of cutting processes.

  • 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

    20300 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Applied Sciences

  • ISSN

    2076-3417

  • e-ISSN

    2076-3417

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    24

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    16

  • Pages from-to

    nestrankovano

  • UT code for WoS article

    000902154700001

  • EID of the result in the Scopus database