Tribological Properties of Al 7075 Composite Reinforced with ZrB2 Using Grey Relational Analysis

• Autorzy: Karumuri Srikanth , Das Vemulapalli Chittaranjan , Gopi Krishna Mallarapu

Identyfikatory

DOI

10.12913/22998624/152020

• Języki publikacji: EN

Abstrakty

EN

In this work, the authors investigate the optimal tribological parameters of Al 7075 composite reinforced with ZrB2 using Grey Relational Analysis (GRA). Initially, the composite specimens were prepared by the variation of reinforcement 5%, 10% and 15% using stir casting routing method. Further, the developed metal matrix composites are used to measure the wear and frictional properties on pin-on – disc testing apparatus. The input parameters such as, wt% of reinforcement (5%, 10% and 15%), load (4.92N, 9.81N and 14.72N) and the time required for conducting the wear test is (15 min. 30 min and 45 min). A Taguchi L9 orthogonal array was designed for conducting the number of experiments. Based on the combination of number of experiments wear study has been conducted on the wear testing apparatus. Moreover, GRA was used for obtaining the best optimal input control parameters that gives minimum magnitude of wear and coefficient of friction (COF). Finally, the confirmatory experiments are conducted and verified with the Taguchi grey relational analysis. The results shows that the predicated optimal mean value is almost similar to the experimental value.

Słowa kluczowe

EN

Al 7075; dry sliding wear; stir casting technique; stir casting routing technique; wear; COF

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2022
• Tom: Vol. 16, no 4
• Strony: 22--28
• Opis fizyczny: Bibliogr. 23 poz., fig., tab.

Twórcy

autor

Karumuri Srikanth

• Department of Mechanical Engineering, Acharya Nagarjuna University, Guntur

• https://orcid.org/0000-0001-9988-0500

autor

Das Vemulapalli Chittaranjan

• Department of Mechanical Engineering, RVR&JC College of Engineering, Guntur

• https://orcid.org/0000-0003-1890-3040

autor

Gopi Krishna Mallarapu

• Department of Mechanical Engineering, Acharya Nagarjuna University, Guntur

• https://orcid.org/0000-0003-1044-3115

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).