A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
20300 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Applied Sciences
ISSN
2076-3417
e-ISSN
2076-3417
Svazek periodika
12
Číslo periodika v rámci svazku
24
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
16
Strana od-do
nestrankovano
Kód UT WoS článku
000902154700001
EID výsledku v databázi Scopus
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