VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Fuzzy logic approach to predict surface roughness in powder mixed electric discharge machining of titanium alloy
    Rodić, Dragan, strojnik ...
    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 %.
    Vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 69, no. 9/10, Sept./Oct. 2023, str. 376-387)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2023
    Jezik - angleški
    COBISS.SI-ID - 168505859

    Povezava(-e):

    https://www.sv-jme.eu/sl/article/fuzzy-logic-approach-to-predict-surface-roughness-in-powder-mixed-electric-discharge-machining-of-titanium-alloy/
    Digitalna knjižnica Slovenije - dLib.si
    Repozitorij Univerze v Ljubljani – RUL
    DOI

Vnos na polico