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Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13420%2F20%3A43896015" target="_blank" >RIV/44555601:13420/20:43896015 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26210/20:PU134664

  • Result on the web

    <a href="https://www.mdpi.com/2075-4701/10/1/92" target="_blank" >https://www.mdpi.com/2075-4701/10/1/92</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/met10010092" target="_blank" >10.3390/met10010092</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods

  • Original language description

    Wire electrical discharge machining is an unconventional machining method for the production of complex-shaped and very precise parts. Because of the high energy consumption of this machining process, it is necessary to maximize the cutting speed for its appropriate implementation. The abrasion-resistant steel Creusabro 4800 was chosen as the test material for this experiment, which is widely used especially for machines working in mines and quarries. In order to maximize the cutting speed, a fuzzy inference system (FIS) has been built, which uses 18 expert propositions to &quot;model&quot; the cutting speed based on five selected input parameters: gap voltage, pulse on time, pulse off time, discharge current, and wire feed. The obtained results were further verified by a design of experiment consisting of 33 tests for five selected input factors. Using the fuzzy inference system, the optimum machine parameters setup was found to maximize the cutting speed, in which the gap voltage = 60 V, pulse on time = 10 mu s, pulse off time = 30 mu s, wire feed = 10 m.min(-1) and discharge current = 35 A. The predicted value of the cutting speed using the fuzzy inference system is 6.471 mm.min(-1).

  • 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/LM2015041" target="_blank" >LM2015041: CEITEC Nano</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Metals 2020

  • ISSN

    2075-4701

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    1-11

  • UT code for WoS article

    000516827800092

  • EID of the result in the Scopus database

    2-s2.0-85077855315