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Neural Computing and Applications

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01.12.2014 | Original Article

CFD simulation and optimization of ICEs exhaust heat recovery using different coolants and fin dimensions in heat exchanger

verfasst von: M. Hatami, D. D. Ganji, M. Gorji-Bandpy

Erschienen in: Neural Computing and Applications | Ausgabe 7-8/2014

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Abstract

In this paper, finned type heat exchangers with different fin dimensions in the exhaust of a gasoline engine are modeled numerically for improving the exhaust energy recovery. RNG k-ε viscous model is used and the results are compared with available experimental data presented by Lee and Bae (Int J Therm Sci 47:468–478, 2008) where a good agreement is observed. Also, the effect of fin numbers, fin length and three water-based nanofluid coolants (TiO₂, Fe₂O₃ and CuO) on the heat recovery efficiency are investigated in different engine loads. As a main outcome, results show that increasing the fin numbers and using TiO₂-water as cold fluid are the most effective methods for heat recover. Furthermore, an optimization analysis is performed to find the best fins dimensions using response surface methodology.

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Titel: CFD simulation and optimization of ICEs exhaust heat recovery using different coolants and fin dimensions in heat exchanger
verfasst von: M. Hatami
D. D. Ganji
M. Gorji-Bandpy
Publikationsdatum: 01.12.2014
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 7-8/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-014-1695-9

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