Optimization of Tribological Performance of hBN/AL2O3Nanoparticles as Engine Oil Additives
| Autor: | Muhammad Ilman Hakimi Chua Abdullah, Nur Rashid Mat Nuri, Hilmi Amiruddin, Noreffendy Tamaldin, Mohd Fadzli Bin Abdollah |
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| Rok vydání: | 2013 |
| Předmět: |
Optimal design
Materials science Al2O3 nanoparticles Friction Coefficient Design of experiments General Medicine Tribology Diesel engine hBN nanoparticles Taguchi methods Oleic acid chemistry.chemical_compound Pulmonary surfactant chemistry Four-ball testing Taguchi method Orthogonal array Composite material Engineering(all) |
| Zdroj: | Procedia Engineering. 68:313-319 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2013.12.185 |
| Popis: | The purpose of this study is to determine the optimal design parameters and to indicate which of the design parameters that are statistically significant for obtaining a low coefficient of friction (COF) with hexagonal boron nitride (hBN) and alumina (Al2O3) nanoparticles, dispersed in conventional diesel engine oil (SAE 15W40). Design of experiment (DOE) was constructed using the Taguchi method, which consists of L9 orthogonal arrays. Tribological testing was conducted using a four-ball tester according to ASTM standard D4172 procedures. According to the analysis of signal-to-noise (S/N) ratio and analysis of variance (ANOVA), COF and wear scar diameter were reduced significantly by dispersing several concentrations of hBN nanoparticles in conventional diesel engine oil, compared to without nanoparticles and with Al2O3 nanoparticle additive. Contribution of 0.5 vol.% of hBN and 0.3 vol.% of oleic acid, as a surfactant, can be an optimal composition additive in conventional diesel engine oil, to obtain a lower COF. In addition, the predicted value of COF by utilizing the levels of the optimal design parameters (0.5 vol.%hBN, 0.3 vol.% surfactant),as made by the Taguchi optimization method, was consistent with the confirmation test (average value of COF = 0.07215), which fell within a 95% confidence interval (CI). |
| Databáze: | OpenAIRE |
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