Multi-Response Optimization of Electrical Discharge Machining of 17-4 PH SS Using Taguchi-Based Grey Relational Analysis

• Autorzy: Gerçekcioğlu Eyyup , Albaşkara Mehmed

Identyfikatory

DOI

10.24425/amm.2023.145448

• Języki publikacji: EN

Abstrakty

EN

Multiple response optimization of the machining of 17-4 PH stainless steel material, which is difficult to process with traditional methods, with EDM was made by Taguchi-based grey relational analysis method. Surface roughness (Ra), material removal rate (MRR), and electrode wear rate (EWR) were the responses, while current, pulse-on time, pulse-off time, and voltage were chosen as process parameters. According to the multi-response optimization, the experiment level that gave the best result was A1B2C2D2. optimum machining outputs were found as A1B3C1D1 using the Taguchi method. As a result of the Taguchi analysis and ANOVA, it was determined that the significant parameters according to multiple performance characteristics were current (56.22%) and voltage (22.40%). The surfaces of the best GRG and optimal sample were examined with XRD, SEM and EDX analysis and the effects on the surfaces were compared.

Słowa kluczowe

EN

EDM; 17-4 PH SS; Taguchi-based grey relational analysis; ANOVA; surface characterization

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2023
• Tom: Vol. 68, iss. 3
• Strony: 861--868
• Opis fizyczny: Bibliogr. 47 poz., fot., rys., tab., wzory

Twórcy

autor

Gerçekcioğlu Eyyup

• Erciyes University, Mechanical Engineering Department, Kayseri, Turkey

• https://orcid.org/0000-0002-8418-7364

autor

Albaşkara Mehmed

• Afyon Kocatepe University, İscehisar Vocational School, Afyonkarahisar, Turkey

• https://orcid.org/0000-0001-9484-8368

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Uwagi

This study was supported by the Erciyes University Scientific Research Projects Coordination unit under grant number FDK-2020-9339. The authors, also, would like to thank Mr. Hüsamettin Ertürk from Iscehisar Vocational School for his valuable support for the softwares.