Povzetek
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 %.
Ključne besede
ANFIS;discharge current;pulse duration;duty cycle;graphite powder;
Podatki
Jezik: |
Angleški jezik |
Leto izida: |
2023 |
Tipologija: |
1.01 - Izvirni znanstveni članek |
Organizacija: |
UL FS - Fakulteta za strojništvo |
UDK: |
621.3 |
COBISS: |
168505859
|
ISSN: |
0039-2480 |
Št. ogledov: |
12 |
Št. prenosov: |
0 |
Ocena: |
0 (0 glasov) |
Metapodatki: |
|
Ostali podatki
Sekundarni jezik: |
Slovenski jezik |
Sekundarni naslov: |
Uporaba mehke logike za napovedovanje površinske hrapavosti po elektroerozijski obdelavi titanove zlitine s primešanim prahom |
Sekundarne ključne besede: |
ANFIS;tok razelektritve;trajanje impulza;impulzni faktorji;grafitni prah; |
Vrsta dela (COBISS): |
Članek v reviji |
Strani: |
str. 376-387 |
Letnik: |
ǂVol. ǂ69 |
Zvezek: |
ǂno. ǂ9/10 |
Čas izdaje: |
Sept./Oct. 2023 |
DOI: |
10.5545/sv-jme.2023.561 |
ID: |
20386139 |