Optimization Of Tribological Performance For Purify Engine-Oil Enhance By Nanoparticles

Abdul Aziz, Nur Liana (2017) Optimization Of Tribological Performance For Purify Engine-Oil Enhance By Nanoparticles. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, the lubricant is very important in human life and become a high demand especially in the heavy industrial sector. Normally, after the lubricant has been used, it will be discarded. However, the decrement of the lubricant resources leads to the study of re-using the used lubricant. The studies found that the used of nanoparticles can become one of the solutions in re-using the used lubricant. The nanoparticles are used as the additive in order to enhance the used lubricant performance. Thus, this study is conducted to investigate the optimization of tribological performance for purify engine-oil enhance by nanoparticles. By using Taguchi method, an optimal composition (0.5 vol%) of zirconia, graphite, and sodium chloride nanoparticles separately dispersed in engine oil SAE 0W – 20 is used in order to achieve the purpose of this study. Later, the design of experiment (DOE) is developed by under boundary lubrication condition compared with other additives using the Taguchi method, which consists of L9 orthogonal arrays. Each data sampling is analyzed using Taguchi method. The result parameters for every sample obtain and the tribological testing was constructed with four-ball tester according to ASTM D4172 procedures. In order to obtain the effect of the coefficient of friction and wear scar diameter of the samples the signal-to-noise (SN) and Means signal-to-noise ratio graph is generated and analyzed. In which, ZrO2 0.5%, Graphite 0.3%, and NaCl 0.5% shows the optimum parameter result of the samples. The ZrO2 0.5%, Graphite 0.3%, and NaCl 0.5% composition not only shows the lowest value of the coefficient of friction (CoF) and the wear scar diameter (WSD) but also a better image of the worn surface compared to the other compositions tested using SEM images. Moreover, by using SEM images, it is found that some of the features on the worn surface of the ball bearing are actually caused by sticker usage that takes place on the ball bearing surface.

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