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 "model" 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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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