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Experimental Analysis of the Effect of Tri-Nano Additives on Wear Rate of Mild Steel during Machining

Afolalu, Sunday A. and Efekodha, Great E. and Ongbali, Samson O. and Abioye, Abiodun A. and Salawu, Enesi Y. and Ajayi, O. O. and Oluwabunmi, Abioye P. (2019) Experimental Analysis of the Effect of Tri-Nano Additives on Wear Rate of Mild Steel during Machining. In: 2nd International Conference on Sustainable Materials Processing and Manufacturing, 2019.

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Wear is an indispensable and recurring problem in engineering materials and it depicts its function on the long run. However, alternative method of retooling the materials at reduce cost was the main focus in this research work. Nano additives of 50 kg each palm kernel, coconut and egg shells were used as carburizer and energizer. Sixty (60) pieces of 100 x 20 mm AISI 5130 mild steel and four (4) boxes of 200 x 150 x 100 mm were charged into furnance of about 2,500oC max capacity. The tri-nano additives of palm kernel, coconut and egg shells were mixed at percentage ratio of 40:40:20. The elemental compositional analyses of the samples were checked before and after the case-hardening using spectrometric analysis machine. Each of the samples was soaked at a temperature of 950, 1000, 1050, and 1100oC for 60, 90, 120, and 180 minutes holding time. The obtained treated samples were subjected to elemental analysis, hardness and wear test using the spectrometer, vicker hardness tester and Rotopol-V wear testing machine. The best core and the surface hardness obtained were 117.9 and 140.9 HR compare to the control with 103.6 and 110.9 HR. The minimum wear rate of the sample was 1.22× while that of the control was 2.03× . The results gave a clear distinction decrease in wear rate and increase in hardness. This showed best economical and environmental friendly way to optimize the property of AISI 5130 steel which can be applied to any other grade of steels.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Energizer, Hardness, Nano additives, Wear
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 26 May 2020 12:37
Last Modified: 26 May 2020 12:37

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