A study of TiO2-enhanced nanofluids in internal combustion engines using neural networks
Author:
Funder
Scientific Research Commission of Yildiz Technical University
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-68701-3.pdf
Reference27 articles.
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2. Haghighat, A. K., Roumi, S., Madani, N., Bahmanpour, D. & Olsen, M. G. An intelligent cooling system and control model for improved engine thermal management. Appl. Therm. Eng. 128, 253–263. https://doi.org/10.1016/j.applthermaleng.2017.08.102 (2018).
3. Sidik, N. A. C., Yazid, M. N. A. W. M. & Mamat, R. A review on the application of nanofluids in vehicle engine cooling system. Int. Commun. Heat Mass Transfer 68, 85–90. https://doi.org/10.1016/j.icheatmasstransfer.2015.08.0174 (2015).
4. Afrand, M., Rejvani, M. & Rostamian, S. H. Experimental evaluation, new correlation proposing and ANN modeling of thermal properties of EG based hybrid nanofluid containing ZnO-DWCNT nanoparticles for internal combustion engines applications. Appl. Therm. Eng. 133, 452–463. https://doi.org/10.1016/j.applthermaleng.2017.11.131 (2018).
5. Guerrero, E. E., Portilla, Á. A. & Pontón, P. I. The effect of TiO2/ethylene glycol-based nanocoolant on the pollutant emissions from a diesel passenger van at Quito ambient conditions. Mater. Today Proc. 49, 129–134. https://doi.org/10.1016/j.matpr.2021.07.483 (2022).
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