Investigation of the Effects of TiO₂ and Al₂O₃ Nanoparticles on Exhaust Gas Temperature in Direct Injection Gasoline Engines
DOI:
https://doi.org/10.64470/elene.2025.1003Keywords:
Exhaust gas temperature, Nanoparticles, Gasoline engineAbstract
In this study, the effects of Al₂O₃ and TiO₂ nanoparticles on exhaust gas temperature (EGT) in a direct injection gasoline engine were experimentally investigated. The Al₂O₃ and TiO₂ nanoparticles were added to fuel mixtures in concentrations of 3.5 ppm and 7 ppm, and tested at engine speeds of 1500, 2500, and 3500 rpm. The results demonstrate that nanoparticles enhance heat transfer within the combustion chamber, leading to higher combustion temperatures. This translates to greater energy production in terms of combustion efficiency and engine performance. In conclusion, the use of Al₂O₃ and TiO₂ nanoparticles as fuel additives shows potential for improving engine performance and offers a novel approach for controlling exhaust gas temperature.
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Acaroĝlu, M., & Aydoĝan, H. (2012). Biofuels energy sources and future of biofuels energy in Turkey. Biomass and Bioenergy, 36, 69–76. https://doi.org/10.1016/j.biombioe.2011.10.004
Chaimanatsakun, A., Sawatmongkhon, B., Sittichompoo, S., & Theinnoi, K. (2024). Effects of reformed exhaust gas recirculation (REGR) of ethanol-gasoline fuel blends on the combustion and emissions of gasoline direct injection (GDI) engine. Fuel, 355. https://doi.org/10.1016/j.fuel.2023.129506
Fennell, D., Herreros, J., & Tsolakis, A. (2014). Improving gasoline direct injection (GDI) engine efficiency and emissions with hydrogen from exhaust gas fuel reforming. International Journal of Hydrogen Energy, 39(10), 5153–5162. https://doi.org/10.1016/j.ijhydene.2014.01.065
Fushimi, A., Kondo, Y., Kobayashi, S., Fujitani, Y., Saitoh, K., Takami, A., & Tanabe, K. (2016). Chemical composition and source of fine and nanoparticles from recent direct injection gasoline passenger cars: Effects of fuel and ambient temperature. Atmospheric Environment, 124, 77–84. https://doi.org/10.1016/j.atmosenv.2015.11.017
G M, L. L., M, C. Das, Jayabal, R., S, M., D, S., & N, M. (2023). Experimental evaluation and neural network modelling of reactivity-controlled compression ignition engine using cashew nut shell oil biodiesel-alumina nanoparticle blend and gasoline injection. Energy, 282. https://doi.org/10.1016/j.energy.2023.128923
Hosseini, M., & Chitsaz, I. (2023). Knock probability determination in a turbocharged gasoline engine through exhaust gas temperature and artificial neural network. Applied Thermal Engineering, 225. https://doi.org/10.1016/j.applthermaleng.2023.120217
Khameneian, A., Wang, X., Dice, P., Naber, J. D., Shahbakhti, M., Archer, C., Moilanen, P., Glugla, C., & Huberts, G. (2022). A real-time control-oriented discrete nonlinear model development for in-cylinder air charge, residual gas and temperature prediction of a Gasoline Direct Injection engine using cylinder, intake and exhaust pressures. Control Engineering Practice, 119. https://doi.org/10.1016/j.conengprac.2021.104978
Kim, J., Chun, K. M., Song, S., Baek, H. K., & Lee, S. W. (2017). The effects of hydrogen on the combustion, performance and emissions of a turbo gasoline direct-injection engine with exhaust gas recirculation. International Journal of Hydrogen Energy, 42(39), 25074–25087. https://doi.org/10.1016/j.ijhydene.2017.08.097
Thurston, M. G., Sullivan, M. R., & McConky, S. P. (2023). Exhaust-gas temperature model and prognostic feature for diesel engines. Applied Thermal Engineering, 229. https://doi.org/10.1016/j.applthermaleng.2023.120578
Zhang, X., Song, C., Lyu, G., Li, Y., Qiao, Y., & Li, Z. (2022). Physicochemical analysis of the exhaust soot from a gasoline direct injection (GDI) engine and the carbon black. Fuel, 322. https://doi.org/10.1016/j.fuel.2022.124262
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No datasets were generated or analyzed during the current study.
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Copyright (c) 2025 Mehmet Selman Gokmen, Hasan Aydogan (Author)

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