Fuzzy logic approach to predict surface roughness in powder mixed electric discharge machining of titanium alloy

Rodić, Dragan (avtor), Gostimirović, Marin (avtor), Sekulić, Milenko (avtor), Savković, Borislav (avtor), Aleksić, Andjelko (avtor)

This study deals with fuzzy logic based modeling and parametric analysis in powder mixed electrical discharge machining of titanium alloys. The central composition plan was used to design the experiments considering four parameters, namely discharge current, pulse duration, duty cycle as well as graphite powder concentration. All experiments were performed with different parameter combinations and the performance, i.e., surface roughness, was evaluated. The adaptive neuro-fuzzy inference system was used to understand and define the input-output relationship. The experimental results and the model results were compared and it was found that the results accurately predicted the reactions in the erosion of titanium alloys. In addition, the model was verified using data that had not participated in the training of the model, with an error of about 10%. In addition, a fuzzy plot was used to analyze the influence of input parameters on surface roughness. It was found that the discharge current was the most important influencing parameter. Additional experiments proved the positive effect of graphite powder, which reduced the surface roughness by 27 %.

• Jezik: Angleški jezik
• Ključne besede: ANFIS, discharge current, pulse duration, duty cycle, graphite powder
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2023
• Št. strani: 12 str.
• Številčenje: Vol. 69, no. 9/10
• PID: 20.500.12556/RUL-151804
• UDK: 621.3
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2023.561
• COBISS.SI-ID: 168505859
• Datum objave v RUL: 20.10.2023

RODIĆ, Dragan, GOSTIMIROVIĆ, Marin, SEKULIĆ, Milenko, SAVKOVIĆ, Borislav in ALEKSIĆ, Andjelko, 2023, Fuzzy logic approach to predict surface roughness in powder mixed electric discharge machining of titanium alloy. Strojniški vestnik [na spletu]. 2023. Vol. 69, no. 9/10. [Dostopano 4 maj 2025]. DOI 10.5545/sv-jme.2023.561. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=151804

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Uporaba mehke logike za napovedovanje površinske hrapavosti po elektroerozijski obdelavi titanove zlitine s primešanim prahom
• Ključne besede: ANFIS, tok razelektritve, trajanje impulza, impulzni faktorji, grafitni prah