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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216305:26210/20:PU134664

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20501 - Materials engineering

Projekt

<a href="/cs/project/LM2015041" target="_blank" >LM2015041: CEITEC Nano</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Metals 2020

ISSN

2075-4701

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

10

Strana od-do

1-11

Kód UT WoS článku

000516827800092

EID výsledku v databázi Scopus

2-s2.0-85077855315