Multi-criteria optimization of the turning parameters of Ti-6Al-4V titanium alloy using the Response Surface Methodology

• Autorzy: Kluz Rafał , Habrat Witold , Bucior Magdalena , Krupa Krzysztof , Sęp Jarosław

Identyfikatory

DOI

10.17531/ein.2022.4.7

• Języki publikacji: EN

Abstrakty

EN

The paper depicts an application of Response Surface Methodology (RSM) for predicting selected parameters in turning of Ti-6Al-4V titanium alloy using polycrystalline diamond tool. Response surface plots that are generated by the model helps in determining the optimum combination of input factors (cutting speed vc and feed rate f) for best possible surface roughness (S_a), cutting force (F_c)and temperature (T) for dry and cooling turning. The methodology of multi-criteria optimization was used to establish the interaction between input parameters and given responses.

Słowa kluczowe

EN

response surface methodology; titanium alloy; multi-criteria optimization; turning process

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 4
• Strony: 668--676
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Kluz Rafał

• Rzeszow University of Technology, Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, al. Powst. Warszawy 8, 35-959 Rzeszow, Poland

• https://orcid.org/0000-0001-6745-294X

autor

Habrat Witold

• Rzeszow University of Technology, Department of Manufacturing Techniques and Automation, Faculty of Mechanical Engineering and Aeronautics, al. Powst. Warszawy 8, 35-959 Rzeszow, Poland

• https://orcid.org/0000-0002-9010-8175

autor

Bucior Magdalena

• Rzeszow University of Technology, Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, al. Powst. Warszawy 8, 35-959 Rzeszow, Poland

• https://orcid.org/0000-0002-1081-5065

autor

Krupa Krzysztof

• Rzeszow University of Technology, Department of Materials Science, Faculty of Mechanical Engineering and Aeronautics, al. Powst. Warszawy 12, 35-959 Rzeszów, Poland

• https://orcid.org/0000-0003-1822-7230

autor

Sęp Jarosław

• Rzeszow University of Technology, Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, al. Powst. Warszawy 8, 35-959 Rzeszow, Poland

• https://orcid.org/0000-0003-2544-2211

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).